From 723a2394e55f6120dfa06193bbfd9ddd921b4034 Mon Sep 17 00:00:00 2001 From: XY Zhan Date: Thu, 1 Oct 2026 23:11:44 -0500 Subject: [PATCH 01/25] feat: maintain every index a table has, including ones created later (#4342) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit **The maintained set is an intent, not a snapshot.** An unnamed set is stored as the intent to maintain every index, which lance re-resolves whenever it builds a MemTable, so an index created after the spec installs is maintained too. A named set is checked here, where the caller can be told which names exist; an index of a kind the MemWAL cannot mirror fails a named set and is skipped by an unnamed one. **A newly created index reaches a writer that is already open.** lancedb caches a `ShardWriter` per shard and reuses it, so `create_index` installs the current set on the cached writer. A failure there is reported rather than propagated: the index is committed durably by then, and the writer this process holds may be fenced or poisoned, which is no reason to fail creating an index. **A table carries one spec.** `set_lsm_write_spec` fails while one is installed and names `unset_lsm_write_spec` in the error, because the generations already written were homed under that spec. Accepting a repeat that changed only the maintained set would hand a caller who also passed a different sharding a success that changed nothing they asked for. **The read path asks what is actually carried.** An unnamed set leaves the stored list empty, so the list alone cannot decide whether an index is maintained. The read asks the spec *and* every resident MemTable whether it carries the index, so a MemTable built before the index joined the set refuses the read rather than answering without its rows. Both spec routes report an unnamed set as `null` rather than `[]`: maintain whatever the table gains, and maintain nothing, are different settings. ## Known gap The guard above covers resident MemTables. Once a writer flushes and closes none is resident, so a retained generation written before the index existed still gets an indexed read that omits its rows. This window is **wider than on main**: a set resolved at install time excluded an index created later, so the read was refused; an intent includes it, and the refusal only holds while a MemTable is resident. Closing it needs the generation's own coverage, which this layer cannot see — its snapshot carries a generation and a path — so it belongs in lance's scanner or flush path. ## Testing `cargo nextest run -p lancedb --lib --features remote` — **1479 passed, 3 skipped**. `cargo fmt --all --check`, and `cargo clippy --features remote --lib --tests --examples -- -D warnings`, both clean. Covered: the round trip of an unnamed set, a set over an installed spec refused, a spec replaced through unset, a read refused while a resident MemTable predates the index, and an index created mid-write reaching the open writer. Two Python binding tests move with the semantics: an unnamed set now reads back as `None` rather than the list it resolves to, and the refusal is matched on `already set`. Neither was run locally — no Python build here — so CI is the check on them. --- python/python/tests/test_lsm_write_spec.py | 14 +- rust/lancedb/src/table.rs | 102 +++++++----- rust/lancedb/src/table/create_index.rs | 6 + rust/lancedb/src/table/merge.rs | 183 +++++++++++++++++++++ rust/lancedb/src/table/merge/lsm.rs | 136 ++++++++------- rust/lancedb/src/table/query/lsm.rs | 112 +++++++++---- 6 files changed, 421 insertions(+), 132 deletions(-) diff --git a/python/python/tests/test_lsm_write_spec.py b/python/python/tests/test_lsm_write_spec.py index d43cb7532..ac767ea31 100644 --- a/python/python/tests/test_lsm_write_spec.py +++ b/python/python/tests/test_lsm_write_spec.py @@ -52,9 +52,9 @@ def test_set_lsm_write_spec_validates(tmp_path): with pytest.raises(Exception, match="num_buckets"): table.set_lsm_write_spec(LsmWriteSpec.bucket("id", 1025)) - # Happy path then mutation rejected. + # Happy path, then a set over the installed spec is refused. table.set_lsm_write_spec(LsmWriteSpec.bucket("id", 4)) - with pytest.raises(Exception, match="mutation"): + with pytest.raises(Exception, match="already set"): table.set_lsm_write_spec(LsmWriteSpec.bucket("id", 8)) @@ -176,18 +176,18 @@ def test_get_lsm_write_spec(tmp_path): table.unset_lsm_write_spec() assert table.get_lsm_write_spec() is None - # Identity round-trips (column recovered from the schema). Leaving the - # maintained set to be inferred picks up the index on the table, so the - # spec reads back naming it rather than as "infer". + # Identity round-trips (column recovered from the schema). An unnamed + # maintained set reads back as None: what is stored is the intent to + # maintain every index, not the set it resolves to now. table.set_lsm_write_spec(LsmWriteSpec.identity("id")) spec = table.get_lsm_write_spec() assert spec.spec_type == "identity" assert spec.column == "id" - assert spec.maintained_indexes == [idx_name] + assert spec.maintained_indexes is None table.unset_lsm_write_spec() # Unsharded round-trips (no routing column). Opting out is distinct from - # the inferred default. + # the unnamed default. table.set_lsm_write_spec(LsmWriteSpec.unsharded().with_maintained_indexes([])) spec = table.get_lsm_write_spec() assert spec.spec_type == "unsharded" diff --git a/rust/lancedb/src/table.rs b/rust/lancedb/src/table.rs index 251baad99..a99f086ef 100644 --- a/rust/lancedb/src/table.rs +++ b/rust/lancedb/src/table.rs @@ -330,7 +330,8 @@ pub use self::merge::MergeResult; /// date) and [`LsmWriteSpec::with_writer_config_defaults`] (default /// `ShardWriter` configuration recorded in the MemWAL index). /// -/// A fresh spec maintains every index on the table, resolved on install. +/// A fresh spec maintains every index on the table, including ones created +/// after it is installed. /// /// Install a spec with [`Table::set_lsm_write_spec`] and remove it with /// [`Table::unset_lsm_write_spec`]. The actual `merge_insert` dispatch @@ -348,9 +349,8 @@ pub enum LsmWriteSpec { num_buckets: u32, /// Indexes the MemWAL maintains in-memory as rows are appended. /// - /// `None` means every index it can maintain, resolved on install — a - /// snapshot, so indexes created later need the spec unset and re-set. - /// `Some([])` maintains nothing. + /// `None` means every index the table has, including ones created + /// later. `Some([])` maintains nothing. maintained_indexes: Option>, /// Default `ShardWriter` configuration recorded in the MemWAL index. writer_config_defaults: HashMap, @@ -363,9 +363,8 @@ pub enum LsmWriteSpec { column: String, /// Indexes the MemWAL maintains in-memory as rows are appended. /// - /// `None` means every index it can maintain, resolved on install — a - /// snapshot, so indexes created later need the spec unset and re-set. - /// `Some([])` maintains nothing. + /// `None` means every index the table has, including ones created + /// later. `Some([])` maintains nothing. maintained_indexes: Option>, /// Default `ShardWriter` configuration recorded in the MemWAL index. writer_config_defaults: HashMap, @@ -374,9 +373,8 @@ pub enum LsmWriteSpec { Unsharded { /// Indexes the MemWAL maintains in-memory as rows are appended. /// - /// `None` means every index it can maintain, resolved on install — a - /// snapshot, so indexes created later need the spec unset and re-set. - /// `Some([])` maintains nothing. + /// `None` means every index the table has, including ones created + /// later. `Some([])` maintains nothing. maintained_indexes: Option>, /// Default `ShardWriter` configuration recorded in the MemWAL index. writer_config_defaults: HashMap, @@ -422,14 +420,15 @@ impl LsmWriteSpec { /// Set which indexes the MemWAL maintains. /// - /// `None` (the default) resolves to every index on the table at install, - /// failing if one cannot be maintained — name the set to install anyway. A - /// list is verbatim: each name must already exist and be maintainable, and - /// an empty list maintains nothing. + /// `None` (the default) is every index on the table, re-read as the table + /// changes, so an index created later is maintained too; one of a kind the + /// MemWAL cannot mirror is skipped rather than failing the table. A list is + /// verbatim: each name must already exist and be maintainable, and an empty + /// list maintains nothing. /// /// ``` /// # use lancedb::table::LsmWriteSpec; - /// // Every index the table has when the spec is installed: + /// // Every index the table has, now and later: /// LsmWriteSpec::unsharded().with_maintained_indexes(None); /// // Exactly these: /// LsmWriteSpec::unsharded().with_maintained_indexes(vec!["id_idx".to_string()]); @@ -1988,6 +1987,10 @@ impl Table { /// - [`LsmWriteSpec::identity`] — shard by the raw value of a scalar column. /// - [`LsmWriteSpec::unsharded`] — route every write to a single shard. /// + /// A table carries one spec: this fails while one is installed, since the + /// generations already written were homed under it. + /// [`Table::unset_lsm_write_spec`] removes one. + /// /// # Example /// /// ``` @@ -5664,29 +5667,22 @@ mod tests { assert_eq!(table.get_lsm_write_spec().await.unwrap(), None); // Identity sharding round-trips (column recovered from the schema). - // A spec left at its default maintains every index on the table, so it - // reads back naming the one on the table rather than as "infer". + // A spec left at its default round-trips as the default: what is stored + // is the intent to maintain everything, not the set it resolves to now. let spec = LsmWriteSpec::identity("region"); table.set_lsm_write_spec(spec.clone()).await.unwrap(); - assert_eq!( - table.get_lsm_write_spec().await.unwrap(), - Some(spec.with_maintained_indexes(vec![idx_name.clone()])) - ); + assert_eq!(table.get_lsm_write_spec().await.unwrap(), Some(spec)); table.unset_lsm_write_spec().await.unwrap(); // Unsharded round-trips (no routing column). let spec = LsmWriteSpec::unsharded(); table.set_lsm_write_spec(spec.clone()).await.unwrap(); - assert_eq!( - table.get_lsm_write_spec().await.unwrap(), - Some(spec.with_maintained_indexes(vec![idx_name])) - ); + assert_eq!(table.get_lsm_write_spec().await.unwrap(), Some(spec)); } - /// The maintained set defaults to every index on the table, resolved at - /// install. An index the memtable cannot build fails the install rather - /// than being dropped: maintaining it would take the table offline for - /// writes, dropping it would hide that from the caller. + /// The maintained set defaults to every index on the table. A named index + /// the memtable cannot build fails the install, because the caller asked + /// for it; an unnamed one is skipped, because it arrived by existing. #[tokio::test] async fn test_set_lsm_write_spec_infers_maintained_indexes() { let tmp_dir = tempdir().unwrap(); @@ -5739,19 +5735,27 @@ mod tests { ); assert_eq!(table.get_lsm_write_spec().await.unwrap(), None); - // The default covers every index, so the bitmap fails it too. - let err = table + // The default names nothing, so the bitmap is skipped rather than + // refusing the table: it is maintained by existing, not by being asked + // for. The intent is what is stored, not the set it resolves to today. + table .set_lsm_write_spec(LsmWriteSpec::unsharded()) .await - .unwrap_err(); - assert!( - matches!(err, Error::InvalidInput { ref message } - if message.contains("tag_bitmap") && message.contains("maintained_indexes")), - "expected the inferred set to be rejected, got {err:?}" + .unwrap(); + assert_eq!( + table + .get_lsm_write_spec() + .await + .unwrap() + .unwrap() + .maintained_indexes(), + None, + "an unnamed set is stored as the intent to maintain everything" ); - assert_eq!(table.get_lsm_write_spec().await.unwrap(), None); - // Naming the maintainable subset installs. + // Narrowing to a named subset: unset first, since an installed spec + // cannot be set over. + table.unset_lsm_write_spec().await.unwrap(); table .set_lsm_write_spec( LsmWriteSpec::unsharded().with_maintained_indexes(vec!["id_btree".to_string()]), @@ -5783,6 +5787,28 @@ mod tests { .maintained_indexes(), Some([].as_slice()) ); + + // An installed spec is never set over, whatever the new one asks for, + // and the refused call leaves it alone. + let err = table + .set_lsm_write_spec(LsmWriteSpec::bucket("id", 4)) + .await + .unwrap_err(); + assert!( + matches!(err, Error::InvalidInput { ref message } + if message.contains("already set")), + "expected the repeat to be refused, got {err:?}" + ); + assert_eq!( + table + .get_lsm_write_spec() + .await + .unwrap() + .unwrap() + .maintained_indexes(), + Some([].as_slice()), + "a refused call changes nothing" + ); } #[tokio::test] diff --git a/rust/lancedb/src/table/create_index.rs b/rust/lancedb/src/table/create_index.rs index c5d6e072f..916b28ed1 100644 --- a/rust/lancedb/src/table/create_index.rs +++ b/rust/lancedb/src/table/create_index.rs @@ -160,6 +160,12 @@ impl NativeTable { builder = builder.name(name); } builder.await?; + // A writer already open was built before this index existed, so it has + // to pick it up here or a read needing it is refused until it reopens. + self.dataset + .shard_writer() + .refresh_maintained_indexes(&dataset) + .await; self.dataset.update(dataset); Ok(()) } diff --git a/rust/lancedb/src/table/merge.rs b/rust/lancedb/src/table/merge.rs index 982818ff6..354eef5a5 100644 --- a/rust/lancedb/src/table/merge.rs +++ b/rust/lancedb/src/table/merge.rs @@ -1505,6 +1505,30 @@ mod lsm_tests { ); } + /// A table with `id`/`text` and a primary key, ready for an LSM write spec. + async fn lsm_text_table(dir: &tempfile::TempDir) -> crate::Table { + let conn = connect(dir.path().to_str().unwrap()) + .execute() + .await + .unwrap(); + let table = conn + .create_table("t", id_text_reader(vec![(1, "alpha")])) + .execute() + .await + .unwrap(); + table.set_unenforced_primary_key(["id"]).await.unwrap(); + table + } + + /// Upsert `rows` through the LSM write path. + async fn upsert_text(table: &crate::Table, rows: Vec<(i64, &str)>) { + let mut builder = table.merge_insert(&[]); + builder + .when_matched_update_all(None) + .when_not_matched_insert_all(); + builder.execute(id_text_reader(rows)).await.unwrap(); + } + /// A reader of `[id: Int64, text: Utf8]` rows. fn id_text_reader(rows: Vec<(i64, &str)>) -> Box { let schema = Arc::new(Schema::new(vec![ @@ -1524,6 +1548,165 @@ mod lsm_tests { Box::new(RecordBatchIterator::new(vec![Ok(batch)], schema)) } + /// Under the default set, an index created while a writer is open reaches + /// that writer. + /// + /// The default maintains every index the table has, so creating one changes + /// what the table maintains without anyone touching the spec. A writer left + /// on its old configs would keep building MemTables the new index does not + /// cover. + #[tokio::test] + async fn lsm_default_set_picks_up_an_index_created_while_writing() { + use crate::index::Index; + use lance_index::scalar::FullTextSearchQuery; + + let dir = tempdir().unwrap(); + let table = lsm_text_table(&dir).await; + // The default set, on a table with no FTS index yet. + table + .set_lsm_write_spec(LsmWriteSpec::unsharded()) + .await + .unwrap(); + + // Opens the writer, whose MemTable carries no FTS index. + upsert_text(&table, vec![(99, "zebra")]).await; + + // Created with the writer still open and never reopened. + table + .create_index(&["text"], Index::FTS(Default::default())) + .execute() + .await + .unwrap(); + + upsert_text(&table, vec![(100, "zebra stripes")]).await; + + let query = FullTextSearchQuery::new("stripes".to_string()) + .with_column("text".to_string()) + .unwrap(); + let batches = table + .query() + .full_text_search(query) + .execute() + .await + .expect("the created index reached the open writer") + .try_collect::>() + .await + .unwrap(); + let found: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert_eq!(found, 1, "the row written after create_index must be found"); + } + + /// A spec is replaced by unsetting it and setting the new one. + /// + /// `unset_lsm_write_spec` drains the open writer, so the rows it held + /// survive the replacement, and the writer the next write opens builds its + /// MemTables from the new set. + #[tokio::test] + async fn lsm_spec_is_replaced_by_unsetting_it_first() { + use crate::index::Index; + use lance_index::scalar::FullTextSearchQuery; + + let dir = tempdir().unwrap(); + let table = lsm_text_table(&dir).await; + table + .create_index(&["text"], Index::FTS(Default::default())) + .execute() + .await + .unwrap(); + let fts_index = table.list_indices().await.unwrap()[0].name.clone(); + + // Installed maintaining nothing, then written to: the writer opens with + // no FTS index. + table + .set_lsm_write_spec(LsmWriteSpec::unsharded().with_maintained_indexes(Vec::new())) + .await + .unwrap(); + upsert_text(&table, vec![(99, "zebra")]).await; + + // Setting over an installed spec is refused; unset, then set. + let err = table + .set_lsm_write_spec( + LsmWriteSpec::unsharded().with_maintained_indexes(vec![fts_index.clone()]), + ) + .await + .expect_err("an installed spec cannot be set over"); + assert!( + err.to_string().contains("already set"), + "unexpected error: {err}" + ); + table.unset_lsm_write_spec().await.unwrap(); + table + .set_lsm_write_spec(LsmWriteSpec::unsharded().with_maintained_indexes(vec![fts_index])) + .await + .unwrap(); + + // A row written after the replacement is answered by the index the new + // writer maintains. + upsert_text(&table, vec![(100, "zebra stripes")]).await; + + let query = FullTextSearchQuery::new("stripes".to_string()) + .with_column("text".to_string()) + .unwrap(); + let batches = table + .query() + .full_text_search(query) + .execute() + .await + .expect("the replaced spec maintains the index") + .try_collect::>() + .await + .unwrap(); + let found: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert_eq!( + found, 1, + "the row written after the replacement must be found" + ); + } + + /// A row written before the index exists is searchable once it does. + /// + /// The MemTable holding it was built without the index. Creating the index + /// replaces the writer's configs, which seals that MemTable and waits for + /// its flush, so no resident MemTable is left that cannot answer the read. + #[tokio::test] + async fn lsm_a_row_written_before_the_index_is_searchable_after_it() { + use crate::index::Index; + use lance_index::scalar::FullTextSearchQuery; + + let dir = tempdir().unwrap(); + let table = lsm_text_table(&dir).await; + // No index yet, and the default set: maintain whatever the table has. + table + .set_lsm_write_spec(LsmWriteSpec::unsharded()) + .await + .unwrap(); + + // Opens the writer, whose MemTable therefore carries no FTS index. + upsert_text(&table, vec![(99, "zebra")]).await; + + // Built afterwards: the spec now resolves to it, the MemTable does not. + table + .create_index(&["text"], Index::FTS(Default::default())) + .execute() + .await + .unwrap(); + + let query = FullTextSearchQuery::new("zebra".to_string()) + .with_column("text".to_string()) + .unwrap(); + let batches = table + .query() + .full_text_search(query) + .execute() + .await + .expect("no resident MemTable is left that cannot answer") + .try_collect::>() + .await + .unwrap(); + let found: usize = batches.iter().map(|b| b.num_rows()).sum(); + assert_eq!(found, 1, "the row written before the index must be found"); + } + #[tokio::test] async fn lsm_read_full_text_search() { use crate::index::Index; diff --git a/rust/lancedb/src/table/merge/lsm.rs b/rust/lancedb/src/table/merge/lsm.rs index fc925c014..0f86fdcac 100644 --- a/rust/lancedb/src/table/merge/lsm.rs +++ b/rust/lancedb/src/table/merge/lsm.rs @@ -77,21 +77,36 @@ pub(crate) async fn set_lsm_write_spec(table: &NativeTable, spec: LsmWriteSpec) let dataset = table.dataset.get().await?; if dataset.mem_wal_index_details().await?.is_some() { return Err(Error::InvalidInput { - message: "set_lsm_write_spec: an LSM write spec is already set on this table; mutation is not supported".into(), + message: "set_lsm_write_spec: an LSM write spec is already set on this \ + table and cannot be changed" + .into(), }); } } - // Before the builder borrows the dataset clone. `list_indices` merges an - // index's segments into one entry, so the result needs no dedup. - let maintained_indexes = { - let dataset = table.dataset.get().await?; - resolve_maintained_indexes( - &dataset, - &table.list_indices().await?, - spec.maintained_indexes(), - ) - .await? + // A named set is checked against the table here, where the caller can still + // be told which names exist. An unnamed set is not resolved at all: it is an + // intent lance re-reads whenever it builds a MemTable, so an index created + // later is maintained without another call. + let maintained_indexes = match spec.maintained_indexes() { + Some(requested) => { + let indices = table.list_indices().await?; + for name in requested { + if !indices.iter().any(|index| &index.name == name) { + return Err(Error::InvalidInput { + message: format!( + "maintained index '{}' does not exist on this table; it has {}", + name, + index_name_list(&indices), + ), + }); + } + } + let dataset = table.dataset.get().await?; + validate_maintained_indexes(&dataset, requested).await?; + Some(requested.to_vec()) + } + None => None, }; table.checkout_latest().await?; @@ -138,7 +153,9 @@ pub(crate) async fn set_lsm_write_spec(table: &NativeTable, spec: LsmWriteSpec) writer_config_defaults } }; - builder = builder.maintained_indexes(maintained_indexes); + if let Some(maintained_indexes) = maintained_indexes { + builder = builder.maintained_indexes(maintained_indexes); + } for (key, value) in writer_config_defaults { builder = builder.add_writer_config_default(key, value); } @@ -147,48 +164,6 @@ pub(crate) async fn set_lsm_write_spec(table: &NativeTable, spec: LsmWriteSpec) Ok(()) } -/// Resolve a spec's maintained-index selection against `indices`, as reported -/// by [`Table::list_indices`](crate::Table::list_indices). -/// -/// `None` means every index on the table, snapshotted now. Lance validates -/// either selection against its shard-writer rules, so a spec that installs is -/// one the MemWAL can open. -/// -/// An unmaintainable index fails an inferred set rather than being dropped from -/// it — dropping would leave the caller believing it is maintained. -async fn resolve_maintained_indexes( - dataset: &Dataset, - indices: &[IndexConfig], - requested: Option<&[String]>, -) -> Result> { - let Some(requested) = requested else { - let all: Vec = indices.iter().map(|index| index.name.clone()).collect(); - validate_maintained_indexes(dataset, &all) - .await - .map_err(|source| Error::InvalidInput { - message: format!( - "cannot maintain every index on this table: {source}. Set \ - maintained_indexes explicitly to choose from {}", - index_name_list(indices), - ), - })?; - return Ok(all); - }; - for name in requested { - if !indices.iter().any(|index| &index.name == name) { - return Err(Error::InvalidInput { - message: format!( - "maintained index '{}' does not exist on this table; it has {}", - name, - index_name_list(indices), - ), - }); - } - } - validate_maintained_indexes(dataset, requested).await?; - Ok(requested.to_vec()) -} - /// Index names for an error message. fn index_name_list(indices: &[IndexConfig]) -> String { if indices.is_empty() { @@ -298,7 +273,9 @@ fn lsm_write_spec_from_details( }; Ok(base - .with_maintained_indexes(details.maintained_indexes.clone()) + .with_maintained_indexes( + (!details.maintain_all_indexes).then(|| details.maintained_indexes.clone()), + ) .with_writer_config_defaults(details.writer_config_defaults.clone())) } @@ -460,6 +437,55 @@ impl ShardWriterCache { Ok(entry) } + /// Install `dataset`'s maintained index set on the cached writer, if one is + /// open, so a change reaches a table that is already being written to. + /// + /// Reported rather than propagated: the index is committed durably by the + /// time this runs, and the writer this process happens to hold may be fenced + /// or poisoned -- which is not a reason to fail creating an index. Any + /// writer opened afterwards reads the committed set. + /// + /// Holds the entry's read lock across the refresh, so a concurrent close + /// waits rather than retiring the writer mid-seal. Writes take the same + /// lock first, so the order matches theirs. + pub(crate) async fn refresh_maintained_indexes(&self, dataset: &Dataset) { + let entry = { + let guard = self.slot.read().await; + guard.as_ref().map(|(_, entry)| entry.clone()) + }; + let Some(entry) = entry else { + return; + }; + let guard = entry.inner.read().await; + let Some(writer) = guard.as_ref() else { + return; + }; + // Replacing the configs seals the active memtable so the next one carries + // the new indexes. The outgoing one keeps the set it was built with, so + // its flush has to land before a read: while it is still frozen, an + // indexed read sees a resident memtable that cannot answer and is + // refused. + let sealed = match dataset.refresh_mem_wal_index_configs(writer).await { + Ok(sealed) => sealed, + Err(error) => { + log::warn!( + "the maintained index set changed but the open shard writer could \ + not be refreshed, so it keeps the set it opened with: {error}" + ); + return; + } + }; + if let Some(fence) = sealed + && let Err(error) = fence.wait().await + { + log::warn!( + "the shard writer took the new maintained index set, but the memtable \ + it sealed was not flushed, so an indexed read stays refused until \ + it is: {error}" + ); + } + } + /// Snapshot the cached writer's shard for the LSM read path: its shard id, /// authoritative in-memory manifest, and active + frozen memtable refs. /// Returns `None` when no writer is currently cached (e.g. nothing has been diff --git a/rust/lancedb/src/table/query/lsm.rs b/rust/lancedb/src/table/query/lsm.rs index 86c1fe5f2..f3e40fc7b 100644 --- a/rust/lancedb/src/table/query/lsm.rs +++ b/rust/lancedb/src/table/query/lsm.rs @@ -33,7 +33,7 @@ use datafusion_physical_plan::expressions::Column; use datafusion_physical_plan::projection::ProjectionExec; use datafusion_physical_plan::{ExecutionPlan, PhysicalExpr}; use lance::Dataset; -use lance::dataset::mem_wal::scanner::InMemoryMemTables; +use lance::dataset::mem_wal::scanner::{InMemoryMemTableRef, InMemoryMemTables}; use lance::dataset::mem_wal::{ DatasetMemWalExt, LsmScanner, ShardManifestStore, ShardSnapshot, ShardWriterConfig, }; @@ -468,20 +468,19 @@ async fn fts_plan( .to_string(), })?; - // Without a maintained in-memory FTS index for this column, the active memtable - // arm produces an empty plan (`active_source_can_execute_fts` returns false), so - // the search silently omits un-compacted documents. Reject rather than mislead. - if !index_maintained( - dataset, - column, - &details.maintained_indexes, - "InvertedIndexDetails", - ) - .await? + // Two ways the fresh tier cannot answer: the spec maintains no FTS index for + // this column, or a resident MemTable was built before the index joined the + // set. Either leaves the memtable arm an empty plan + // (`active_source_can_execute_fts` returns false), so the search silently + // omits un-compacted documents. Reject rather than mislead. + if !index_maintained(dataset, column, details, "InvertedIndexDetails").await? + || !resident_memtables_carry(&in_memory, |memtable| { + memtable.index_store.get_fts_by_column(column).is_some() + }) { return Err(Error::NotSupported { message: format!( - "the MemWAL LSM scanner full-text search requires the FTS index on '{column}' to be maintained by the write spec (LsmWriteSpec::with_maintained_indexes); otherwise un-compacted documents are omitted. set use_lsm(false) to read the base table only" + "the MemWAL LSM scanner full-text search requires the FTS index on '{column}' to be maintained by the write spec (LsmWriteSpec::with_maintained_indexes) and carried by every resident MemTable; otherwise un-compacted documents are omitted. set use_lsm(false) to read the base table only" ), }); } @@ -493,6 +492,27 @@ async fn fts_plan( Ok(scanner.create_plan().await?) } +/// Whether the spec maintains the index named `name`. +/// +/// An unnamed set names nothing and covers everything, so the stored list alone +/// cannot answer this. +fn spec_maintains(details: &MemWalIndexDetails, name: &str) -> bool { + details.maintain_all_indexes || details.maintained_indexes.iter().any(|n| n == name) +} + +/// Whether every resident MemTable carries the index an arm needs. +/// +/// The spec is intent; a MemTable built before the index joined the set +/// contributes nothing to an indexed read, so its rows would go missing. +fn resident_memtables_carry( + in_memory: &HashMap, + carries: impl Fn(&InMemoryMemTableRef) -> bool, +) -> bool { + in_memory + .values() + .all(|tables| carries(&tables.active) && tables.frozen.iter().all(&carries)) +} + /// Whether an index of `type_url_suffix` covering `column` is in the MemWAL spec's /// maintained set. Only a maintained index has its catch-up tracked (so exclusion is /// gated correctly) and its in-memory arm kept current; an unmaintained base index @@ -502,7 +522,7 @@ async fn fts_plan( async fn index_maintained( dataset: &Dataset, column: &str, - maintained: &[String], + details: &MemWalIndexDetails, type_url_suffix: &str, ) -> Result { use lance::index::DatasetIndexExt; @@ -512,7 +532,7 @@ async fn index_maintained( let indices = dataset.load_indices().await?; Ok(indices.iter().any(|idx| { idx.fields.contains(&field.id) - && maintained.iter().any(|m| m == &idx.name) + && spec_maintains(details, &idx.name) && idx .index_details .as_ref() @@ -583,9 +603,7 @@ async fn arm_maintained_index_names( }) .map(|idx| idx.name.clone()) .collect(); - if let Some(name) = - resolve_single_index(segment_names, &details.maintained_indexes, arm, &column)? - { + if let Some(name) = resolve_single_index(segment_names, details, arm, &column)? { names.push(name); } } @@ -604,7 +622,7 @@ async fn arm_maintained_index_names( /// compaction watermark). fn resolve_single_index( mut names: Vec, - maintained: &[String], + details: &MemWalIndexDetails, arm: &str, column: &str, ) -> Result> { @@ -620,7 +638,7 @@ fn resolve_single_index( Ok(names .into_iter() .next() - .filter(|name| maintained.contains(name))) + .filter(|name| spec_maintains(details, name))) } /// Drop the primary-key columns Lance appends internally for dedup when the user's @@ -688,21 +706,19 @@ async fn vector_plan( None => default_vector_column(&arrow_schema, Some(query_vector.len() as i32))?, }; - // The base arm relies on the column's vector index (`fast_search`). Unless it is - // maintained, its catch-up is untracked and exclusion falls back to the - // compaction watermark — dropping compacted SSTables the (lagging) base index has - // not re-indexed. Reject rather than silently omit rows, mirroring the FTS arm. - if !index_maintained( - dataset, - &column, - &details.maintained_indexes, - "VectorIndexDetails", - ) - .await? + // The base arm relies on the column's vector index (`fast_search`). Unmaintained, + // its catch-up is untracked and exclusion falls back to the compaction watermark, + // dropping compacted SSTables the lagging base index has not re-indexed; and a + // resident MemTable built before the index joined the set carries none either. + // Reject rather than silently omit rows, mirroring the FTS arm. + if !index_maintained(dataset, &column, details, "VectorIndexDetails").await? + || !resident_memtables_carry(&in_memory, |memtable| { + memtable.index_store.get_hnsw_by_column(&column).is_some() + }) { return Err(Error::NotSupported { message: format!( - "the MemWAL LSM scanner requires the vector index on '{column}' to be maintained by the write spec (LsmWriteSpec::with_maintained_indexes); otherwise compacted rows not yet re-indexed are omitted. set use_lsm(false) to read the base table only" + "the MemWAL LSM scanner requires the vector index on '{column}' to be maintained by the write spec (LsmWriteSpec::with_maintained_indexes) and carried by every resident MemTable; otherwise compacted rows not yet re-indexed are omitted. set use_lsm(false) to read the base table only" ), }); } @@ -888,7 +904,10 @@ mod tests { #[test] fn resolve_single_index_dedupes_segments() { - let maintained = vec!["fts_idx".to_string()]; + let maintained = MemWalIndexDetails { + maintained_indexes: vec!["fts_idx".to_string()], + ..Default::default() + }; // Two physical segments of ONE logical index must not count as "multiple". assert_eq!( resolve_single_index( @@ -917,4 +936,33 @@ mod tests { None ); } + + /// A spec that maintains every index names none of them, so the stored list + /// is empty while every index on the table is in fact maintained. Reading + /// the list alone would refuse the read path on the default spec. + #[test] + fn an_unnamed_set_maintains_every_index() { + let all = MemWalIndexDetails { + maintained_indexes: Vec::new(), + maintain_all_indexes: true, + ..Default::default() + }; + assert!(spec_maintains(&all, "fts_idx")); + assert_eq!( + resolve_single_index(vec!["fts_idx".to_string()], &all, "full-text", "text").unwrap(), + Some("fts_idx".to_string()), + ); + + // The same empty list without the flag maintains nothing. + let none = MemWalIndexDetails { + maintained_indexes: Vec::new(), + maintain_all_indexes: false, + ..Default::default() + }; + assert!(!spec_maintains(&none, "fts_idx")); + assert_eq!( + resolve_single_index(vec!["fts_idx".to_string()], &none, "full-text", "text").unwrap(), + None, + ); + } } From f72779ebb5465d54b62c31d8028b199a9a8b3bdd Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Fri, 2 Oct 2026 07:49:06 -0500 Subject: [PATCH 02/25] build(deps): bump the rust-minor-patch group across 1 directory with 7 updates (#4355) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Bumps the rust-minor-patch group with 7 updates in the / directory: | Package | From | To | | --- | --- | --- | | [aws-smithy-types](https://github.com/smithy-lang/smithy-rs) | `1.6.3` | `1.6.4` | | [object_store](https://github.com/apache/arrow-rs-object-store) | `0.14.1` | `0.14.2` | | [serde_with](https://github.com/jonasbb/serde_with) | `3.23.0` | `3.24.0` | | [napi](https://github.com/napi-rs/napi-rs) | `3.12.2` | `3.12.5` | | [napi-derive](https://github.com/napi-rs/napi-rs) | `3.6.5` | `3.6.9` | | [napi-build](https://github.com/napi-rs/napi-rs) | `2.4.2` | `2.5.0` | | [arc-swap](https://github.com/vorner/arc-swap) | `1.9.1` | `1.9.2` | Updates `aws-smithy-types` from 1.6.3 to 1.6.4
Commits

Updates `object_store` from 0.14.1 to 0.14.2
Release notes

Sourced from object_store's releases.

object_store v0.14.2

Changelog

v0.14.2 (2026-09-11)

Full Changelog

Implemented enhancements:

  • Implement Clone for MicrosoftAzure #824
  • Support URLs for jurisdiction-restricted buckets on R2 #814
  • Lightweight DNS cache with shuffle to prevent DNS flooding #726
  • Allow presigning object_store multipart uploads #271
  • Allow specifying Content-Type when signing object_store PUT requests #270

Fixed bugs:

  • Incomplete ASF license header in src/client/s3.rs (caused -1 vote on 0.14.2 RC1) #853
  • WriteMultipart::finish should abort after part upload failure #818
  • The 1.85 MSRV is inaccurate with all features #811
  • When the backend service returns an HTTP 500, the object store panics #414

Documentation updates:

  • Docs: point users uploading large objects at the multipart API #839 (alamb)
  • [object-store]: update release schedule #834 (alamb)
  • Add doc example for multipart upload to GoogleCloudStorage::create_multipart #803 (alamb)
  • Add doc example for multipart upload to MicrosoftAzure::create_multipart #802 (alamb)
  • Add doc example for multipart upload to AmazonS3::create_multipart #801 (alamb)

Closed issues:

... (truncated)

Changelog

Sourced from object_store's changelog.

Historical Changelog

Commits
  • 279572e Update CHANGELOG for latest main (#855)
  • 4ff7d04 Restore missing first line of ASF license header in src/client/s3.rs (#854)
  • 25fa079 Update version to 0.14.2 and add CHANGELOG (#850)
  • c37db72 feat: retry failed multipart part uploads (#849)
  • 135984f Add doc hints pointing large-object uploads at the multipart API (#839)
  • b07471e [object-store]: update release schedule (#834)
  • 978fb48 Fix MSRV violation in parse.rs test, check --all-targets in MSRV CI (#837)
  • e2a4934 Speed up MSRV CI check by installing cargo-msrv via taiki-e/install-action (#...
  • e28807d feat: presigned URLs with extra query params and signed headers (SignedUrlOpt...
  • 5c74363 Restore UnwindSafe/RefUnwindSafe on ClientOptions by bounding DnsResolver (#836)
  • Additional commits viewable in compare view

Updates `serde_with` from 3.23.0 to 3.24.0
Release notes

Sourced from serde_with's releases.

serde_with v3.24.0

Added

  • Implement JsonSchemaAs for NoneAsEmptyString, so fields using it compile with the schemars_* features (#1014)

Changed

  • Make with_prefix! and with_suffix! available with the alloc feature, instead of only with std (#1008)

Fixed

  • Handle potential panics in deserialization of chrono and time DateTimes. This was privately reported by @​NotAFlightRisk.
Commits
  • 35ac84c Bump version to 3.24 (#1016)
  • 7b8e561 Bump version to 3.24
  • 6e576c8 Bump the github-actions group with 2 updates (#1012)
  • 7b1814b Add schemars support for NoneAsEmptyString (#1014)
  • 92eeedd Handle potential panic during deserialization for large datetimes (#1015)
  • 3404642 Handle potential panic during deserialization for large datetimes
  • c7073b9 Add schemars support for NoneAsEmptyString
  • 6b32290 Run test with only the alloc feature (#1013)
  • 3361c69 Run test with only the alloc feature
  • b43bb81 Reduce required feature for with_{prefix,suffix} from std to alloc (#1008)
  • Additional commits viewable in compare view

Updates `napi` from 3.12.2 to 3.12.5
Release notes

Sourced from napi's releases.

napi-v3.12.5

Fixed

  • fatal_exception noop in optimized builds (#3509)

napi-v3.12.4

Security

  • Object::unwrap and Object::remove_wrapped (and the deprecated Env::unwrap / Env::drop_wrapped) read a TypeId out of a payload that is not a TaggedObject, giving a heap out-of-bounds read and a JavaScript-forgeable out-of-bounds write; payload provenance is now validated before dereferencing. See GHSA-rhpj-pggq-896v, fixed in #3506.
  • The serde deserializer reached unreachable!() on ordinary JavaScript values and aborted the process instead of returning an error. See GHSA-f334-75xc-qxv3, fixed in #3507.
  • ArrayBuffer::from_external, TypedArraySlice::from_external and Uint8ClampedSlice::from_external (plus the compat-mode Env::create_arraybuffer_with_borrowed_data) built their slice from freed memory on runtimes without external buffers. See GHSA-32mm-r9wp-hrvc, fixed in #3503.

Fixed

  • (napi) return errors from the serde deserializer for unexpected JS value shapes (#3507)
  • (napi) validate wrapped payload provenance in Object::unwrap/remove_wrapped (#3506)
  • (napi) point from_external slices at the engine-owned copy after finalize reclaims the source (#3503)

napi-v3.12.3

Fixed

  • CurrentThread waker-stack deadlocks and threadless-wasm Buffer detachment (#3489)
  • (napi) catch panics in closure trampolines instead of aborting (#3473)

Other

  • (napi) keep anyhow error cause when converting (#3477)
  • (napi) outline threadsafe callback dispatch (#3465)
  • (napi) outline class instance construction (#3464)
Commits
  • 43100ba chore: release (#3508)
  • bb7b75a chore(release): publish
  • 89d7a0b chore(deps): update dependency oxfmt to ^0.68.0 (#3519)
  • 5554591 fix(cli): rate-limit failed incarnation probes and let reconciliation tests i...
  • 6d10d82 feat(cli): make the deferred workerd loader usable by host-driven addons (#3520)
  • a1bcecb feat(cli): add napi.wasm.threadlessInitialMemory for threadless WASI loader...
  • 0999bab feat(cli): export __napiBindingTarget from generated binding loaders (#3515)
  • 30ea504 fix(cli): bound symlink-ancestor reconciliation guards to the anchor's parent...
  • ae8f34a fix(cli): run the wasm env cleanup barrier on a raw emnapi `Context.destroy()...
  • ccd314b fix(cli): never wedge reconciliation locks when host identity probes fail (#3...
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Updates `napi-derive` from 3.6.5 to 3.6.9
Release notes

Sourced from napi-derive's releases.

napi-derive-v3.6.9

Other

  • update Cargo.toml dependencies

napi-derive-v3.6.8

Fixed

  • (napi) guard AsyncTask completion against env teardown (#3536)

napi-derive-v3.6.7

Other

  • update Cargo.toml dependencies

napi-derive-v3.6.6

Other

  • update Cargo.toml dependencies
Commits
  • 2763e12 chore: release (#3538)
  • 5ae5cf6 chore(release): publish
  • 0da138e feat(cli): self-sign OpenHarmony artifacts with --ohos-sign (#3539)
  • 2499a63 feat(async-runtime): offer the MultiThread flavor on wasm32-wasip1-threads (#...
  • 886bd07 chore(deps): update dependency oxc-parser to ^0.151.0 (#3542)
  • edb0a29 fix(napi): validate native payload provenance for External and instance data ...
  • 38162bb chore: release (#3529)
  • ec3d8ea fix(napi): guard AsyncTask completion against env teardown (#3536)
  • 96ed267 chore(deps): update release-plz/action action to v0.5.139 (#3537)
  • b2c9f3b chore(deps): update release-plz/action action to v0.5.138 (#3533)
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Updates `napi-build` from 2.4.2 to 2.5.0
Release notes

Sourced from napi-build's releases.

napi-build-v2.5.0

Added

  • (async-runtime) offer the MultiThread flavor on wasm32-wasip1-threads (#3541)

napi-build-v2.4.4

Fixed

  • (napi) guard AsyncTask completion against env teardown (#3536)

napi-build-v2.4.3

Fixed

  • (cli) drain outstanding async work before disposing a WASI binding (#3528)
Commits
  • 2763e12 chore: release (#3538)
  • 5ae5cf6 chore(release): publish
  • 0da138e feat(cli): self-sign OpenHarmony artifacts with --ohos-sign (#3539)
  • 2499a63 feat(async-runtime): offer the MultiThread flavor on wasm32-wasip1-threads (#...
  • 886bd07 chore(deps): update dependency oxc-parser to ^0.151.0 (#3542)
  • edb0a29 fix(napi): validate native payload provenance for External and instance data ...
  • 38162bb chore: release (#3529)
  • ec3d8ea fix(napi): guard AsyncTask completion against env teardown (#3536)
  • 96ed267 chore(deps): update release-plz/action action to v0.5.139 (#3537)
  • b2c9f3b chore(deps): update release-plz/action action to v0.5.138 (#3533)
  • Additional commits viewable in compare view

Updates `arc-swap` from 1.9.1 to 1.9.2
Changelog

Sourced from arc-swap's changelog.

1.9.2

  • Document RefCnt must not panic (#208).
Commits

Signed-off-by: dependabot[bot] Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com> --- Cargo.lock | 104 ++++++++++++++++++++++++++--------------------------- 1 file changed, 52 insertions(+), 52 deletions(-) diff --git a/Cargo.lock b/Cargo.lock index 9f1ad168a..77c7412f4 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -141,7 +141,7 @@ version = "1.1.5" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "40c48f72fd53cd289104fc64099abca73db4166ad86ea0b4341abe65af83dadc" dependencies = [ - "windows-sys 0.60.2", + "windows-sys 0.61.2", ] [[package]] @@ -152,7 +152,7 @@ checksum = "291e6a250ff86cd4a820112fb8898808a366d8f9f58ce16d1f538353ad55747d" dependencies = [ "anstyle", "once_cell_polyfill", - "windows-sys 0.60.2", + "windows-sys 0.61.2", ] [[package]] @@ -181,9 +181,9 @@ dependencies = [ [[package]] name = "arc-swap" -version = "1.9.1" +version = "1.9.2" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "6a3a1fd6f75306b68087b831f025c712524bcb19aad54e557b1129cfa0a2b207" +checksum = "c049c0be4daef0b145cb3555416b3b8ef5b7888a38aea1a3a155801fe7b0810b" dependencies = [ "rustversion", ] @@ -1110,9 +1110,9 @@ dependencies = [ [[package]] name = "aws-smithy-types" -version = "1.6.3" +version = "1.6.4" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "8f94d16e797ec62cd999fc9d5942b48fa7050c3093ddadff48e4d7528d16fcb9" +checksum = "0b791f3ac597193fe1d08b82366986eb1f5bc31f2ac6c194c0855276116c76cd" dependencies = [ "base64-simd", "bytes", @@ -1819,7 +1819,7 @@ version = "3.1.1" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "faf9468729b8cbcea668e36183cb69d317348c2e08e994829fb56ebfdfbaac34" dependencies = [ - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -3087,7 +3087,7 @@ dependencies = [ "libc", "option-ext", "redox_users", - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -3315,7 +3315,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "39cab71617ae0d63f51a36d69f866391735b51691dbda63cf6f96d042b63efeb" dependencies = [ "libc", - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -4538,7 +4538,7 @@ dependencies = [ "libc", "percent-encoding", "pin-project-lite", - "socket2 0.5.10", + "socket2 0.6.3", "system-configuration", "tokio", "tower-service", @@ -4880,7 +4880,7 @@ checksum = "3640c1c38b8e4e43584d8df18be5fc6b0aa314ce6ebf51b53313d4306cca8e46" dependencies = [ "hermit-abi", "libc", - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -5193,7 +5193,7 @@ dependencies = [ "lance-tokenizer", "log", "moka", - "object_store 0.14.1", + "object_store 0.14.2", "permutation", "pin-project", "prost", @@ -5294,7 +5294,7 @@ dependencies = [ "log", "moka", "num_cpus", - "object_store 0.14.1", + "object_store 0.14.2", "pin-project", "prost", "quick_cache", @@ -5428,7 +5428,7 @@ dependencies = [ "lance-io", "log", "num-traits", - "object_store 0.14.1", + "object_store 0.14.2", "prost", "prost-build", "prost-types", @@ -5505,7 +5505,7 @@ dependencies = [ "log", "ndarray", "num-traits", - "object_store 0.14.1", + "object_store 0.14.2", "prost", "prost-build", "prost-types", @@ -5571,7 +5571,7 @@ dependencies = [ "log", "metrics", "moka", - "object_store 0.14.1", + "object_store 0.14.2", "object_store_opendal", "opendal", "opendal-service-goosefs", @@ -5647,7 +5647,7 @@ dependencies = [ "lance-namespace", "lance-table", "log", - "object_store 0.14.1", + "object_store 0.14.2", "quick-xml 0.40.1", "rand 0.9.5", "reqwest 0.12.28", @@ -5715,7 +5715,7 @@ dependencies = [ "lance-io", "lance-select", "log", - "object_store 0.14.1", + "object_store 0.14.2", "prost", "prost-build", "prost-types", @@ -5826,7 +5826,7 @@ dependencies = [ "moka", "num-traits", "oauth2", - "object_store 0.14.1", + "object_store 0.14.2", "pin-project", "polars", "polars-arrow", @@ -6475,9 +6475,9 @@ dependencies = [ [[package]] name = "napi" -version = "3.12.2" +version = "3.12.5" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "58c5f4d5375213fdb7be2655e152386e82f026f9a5ba36a75556e11359aafe09" +checksum = "f0c007d4a8ead952a81887661d41fd56b7e7a70d3d4d921f445fb37a8f6efa1e" dependencies = [ "bitflags 2.11.1", "chrono", @@ -6495,15 +6495,15 @@ dependencies = [ [[package]] name = "napi-build" -version = "2.4.2" +version = "2.5.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "860e7c40864f95cfb83cde99f9ebadd88ef3d9bdccd7dd2cee0cc96a2dd4ffa7" +checksum = "0941983559cd62bfa7f04646a16428967a847365adeef27711e4e3927046bbed" [[package]] name = "napi-derive" -version = "3.6.5" +version = "3.6.9" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "350057056a30368aa76c11a0d406b0aa61321710be2c36656ab4f6efe0b785a2" +checksum = "6b1d232c24dc6754979b27efdf2047a5849efc7c92c1245de87e6bedbb9f5c3c" dependencies = [ "convert_case", "ctor", @@ -6515,9 +6515,9 @@ dependencies = [ [[package]] name = "napi-derive-backend" -version = "6.1.3" +version = "6.1.4" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "4c1c87a71568f3fe5c736b10878ff55064b250bb4ea4b48c8055713e07b9e463" +checksum = "fd6856fe1686867da90ed0dc292d7c0c87a695eb7c578b913360f33619ee01e3" dependencies = [ "convert_case", "proc-macro2", @@ -6528,9 +6528,9 @@ dependencies = [ [[package]] name = "napi-sys" -version = "3.3.0" +version = "3.4.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "85fbf1fa9f1babfe396d74bbbf52b3643770243e8f5b0b46715d4caf7f0dfc9a" +checksum = "e22a4f25c16a5c5411d987cd6fbd48313522ae1789ade2d6dd3efdc6d40a0fc8" dependencies = [ "libloading", ] @@ -6637,7 +6637,7 @@ version = "0.50.3" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "7957b9740744892f114936ab4a57b3f487491bbeafaf8083688b16841a4240e5" dependencies = [ - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -6766,7 +6766,7 @@ version = "5.0.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "51e219e79014df21a225b1860a479e2dcd7cbd9130f4defd4bd0e191ea31d67d" dependencies = [ - "base64 0.21.7", + "base64 0.22.1", "chrono", "getrandom 0.2.17", "http 1.5.0", @@ -6883,13 +6883,13 @@ dependencies = [ [[package]] name = "object_store" -version = "0.14.1" +version = "0.14.2" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "d354792e39fa5f0009e47623cf8b15b099bf9a652fa55c6f817fe28ac84fea50" +checksum = "f1796bc93603f78c5760a69f2d58badc9618d22adade0a95385bb2adbae4eb94" dependencies = [ "async-trait", "aws-lc-rs", - "base64 0.22.1", + "base64 0.23.1", "bytes", "chrono", "crc-fast", @@ -6935,7 +6935,7 @@ dependencies = [ "bytes", "chrono", "futures", - "object_store 0.14.1", + "object_store 0.14.2", "opendal", "pin-project", "tokio", @@ -8140,8 +8140,8 @@ version = "0.14.3" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "343d3bd7056eda839b03204e68deff7d1b13aba7af2b2fd16890697274262ee7" dependencies = [ - "heck 0.4.1", - "itertools 0.11.0", + "heck 0.5.0", + "itertools 0.14.0", "log", "multimap", "petgraph", @@ -8160,7 +8160,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "b570b25f7617e43d59005d0990ccb79e950a423952cea19671b7a876da390adf" dependencies = [ "anyhow", - "itertools 0.11.0", + "itertools 0.14.0", "proc-macro2", "quote", "syn 2.0.117", @@ -8382,7 +8382,7 @@ dependencies = [ "quinn-udp", "rustc-hash", "rustls 0.23.45", - "socket2 0.5.10", + "socket2 0.6.3", "thiserror 2.0.18", "tokio", "tracing", @@ -8420,7 +8420,7 @@ dependencies = [ "cfg_aliases", "libc", "once_cell", - "socket2 0.5.10", + "socket2 0.6.3", "tracing", "windows-sys 0.60.2", ] @@ -9220,7 +9220,7 @@ dependencies = [ "errno", "libc", "linux-raw-sys", - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -9291,7 +9291,7 @@ dependencies = [ "security-framework", "security-framework-sys", "webpki-root-certs", - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -9582,9 +9582,9 @@ dependencies = [ [[package]] name = "serde_with" -version = "3.23.0" +version = "3.24.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "935177bb8c0cd8ca1a4e6d1a2ac8988bea69cab4f9d3a31311e012ad27868ea4" +checksum = "df9adc193c780ef8f159aee8b61e2d5801aaa555e6eb0947fe45530ec506296f" dependencies = [ "base64 0.23.1", "bs58", @@ -9603,9 +9603,9 @@ dependencies = [ [[package]] name = "serde_with_macros" -version = "3.23.0" +version = "3.24.0" source = "registry+https://github.com/rust-lang/crates.io-index" -checksum = "1d607aa01a3cb0ad757d6fd216136910db3c97b102fe686585689615a02dbcdc" +checksum = "3e17bbc68e28663bbbb90df47e058aa7eda4fb445b89fe70457bb94fbccf6e49" dependencies = [ "darling 0.24.1", "proc-macro2", @@ -9838,7 +9838,7 @@ version = "0.8.9" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "c1c97747dbf44bb1ca44a561ece23508e99cb592e862f22222dcf42f51d1e451" dependencies = [ - "heck 0.4.1", + "heck 0.5.0", "proc-macro2", "quote", "syn 2.0.117", @@ -9850,7 +9850,7 @@ version = "0.9.0" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "54254b8531cafa275c5e096f62d48c81435d1015405a91198ddb11e967301d40" dependencies = [ - "heck 0.4.1", + "heck 0.5.0", "proc-macro2", "quote", "syn 2.0.117", @@ -9873,7 +9873,7 @@ source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "3a766e1110788c36f4fa1c2b71b387a7815aa65f88ce0229841826633d93723e" dependencies = [ "libc", - "windows-sys 0.60.2", + "windows-sys 0.61.2", ] [[package]] @@ -9992,7 +9992,7 @@ dependencies = [ "cfg-if 1.0.4", "libc", "psm", - "windows-sys 0.60.2", + "windows-sys 0.61.2", ] [[package]] @@ -10284,7 +10284,7 @@ dependencies = [ "getrandom 0.4.2", "once_cell", "rustix", - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] @@ -11305,7 +11305,7 @@ version = "0.1.11" source = "registry+https://github.com/rust-lang/crates.io-index" checksum = "c2a7b1c03c876122aa43f3020e6c3c3ee5c05081c9a00739faf7503aeba10d22" dependencies = [ - "windows-sys 0.59.0", + "windows-sys 0.61.2", ] [[package]] From 2734e1076797969aa94d71dded5324da19753229 Mon Sep 17 00:00:00 2001 From: Dan Tasse <105866+dantasse@users.noreply.github.com> Date: Fri, 2 Oct 2026 15:56:46 -0500 Subject: [PATCH 03/25] fix(node): update arrow to 21 (#4362) Thanks @vincentkoc for starting this! I was just looking into this myself. I started with your PR and added: - make arrow 21 the default - widen the peer range to <22 so if they release 21.3 that'll be included - have to do skipLibCheck in tsconfig.json, because of flatbuffers 25 which needs TypeScript 5.7 - fix override in Symbol.hasInstance - support new types in Arrow 20-21 (LargeList, Utf8View, BinaryView, IntervalMonthDayNano) - arrow-compat job in nodejs.yml that runs tests with arrow 19 and 20 (adds 2 sec) - put the list of arrow types in one place - update NODEJS_THIRD_PARTY_LICENSES.md - regenerated typescript docs (sorry about reorderings, one time cost) - reformat arrow.test.ts (sorry, almost all whitespace, thanks to biome. git diff -w shows 110 lines edited) - fixed Sliced Utf8View / BinaryView serialization error, by just converting them to Utf8 and Binary (as our rust code would anyway) --------- Co-authored-by: Vincent Koc Co-authored-by: Claude Fable 5.1 --- .github/workflows/nodejs.yml | 65 + docs/src/js/classes/AutoQuery.md | 2 +- docs/src/js/classes/Query.md | 2 +- docs/src/js/classes/QueryBase.md | 2 +- docs/src/js/classes/Table.md | 2 +- docs/src/js/classes/TakeQuery.md | 2 +- docs/src/js/classes/VectorQuery.md | 2 +- docs/src/js/globals.md | 1 + docs/src/js/interfaces/CherryPickResult.md | 6 +- .../src/js/interfaces/DropNamespaceOptions.md | 2 +- .../embedding/classes/EmbeddingFunction.md | 4 +- .../classes/TextEmbeddingFunction.md | 4 +- docs/src/js/type-aliases/DataTypeLike.md | 18 + nodejs/NODEJS_THIRD_PARTY_LICENSES.md | 8 + nodejs/__test__/arrow.test.ts | 2871 ++++++++--------- nodejs/__test__/arrow_versions.ts | 39 + nodejs/__test__/registry.test.ts | 13 +- nodejs/__test__/sanitize.test.ts | 114 +- nodejs/__test__/table.test.ts | 129 +- nodejs/lancedb/arrow.ts | 87 +- nodejs/lancedb/index.ts | 1 + nodejs/lancedb/sanitize.ts | 146 +- nodejs/package.json | 6 +- nodejs/pnpm-lock.yaml | 98 +- nodejs/tsconfig.json | 5 +- 25 files changed, 2110 insertions(+), 1519 deletions(-) create mode 100644 docs/src/js/type-aliases/DataTypeLike.md create mode 100644 nodejs/__test__/arrow_versions.ts diff --git a/.github/workflows/nodejs.yml b/.github/workflows/nodejs.yml index 98acccf02..2e290166e 100644 --- a/.github/workflows/nodejs.yml +++ b/.github/workflows/nodejs.yml @@ -164,6 +164,71 @@ jobs: python ci/mock_openai.py & cd nodejs/examples node_modules/.bin/jest --testEnvironment jest-environment-node-single-context --verbose + arrow-compat: + # The main jobs resolve `apache-arrow` to the version pinned in + # devDependencies (the newest supported release). This job re-runs the + # suite with the library itself running on each older Arrow release the + # peer range still accepts, which is what a consumer on that version gets. + name: Linux (Arrow ${{ matrix.arrow-version }}) + timeout-minutes: 30 + strategy: + matrix: + arrow-version: [ "19.0.1", "20.0.0" ] + runs-on: "ubuntu-22.04" + defaults: + run: + shell: bash + working-directory: nodejs + steps: + - uses: actions/checkout@v6 + with: + fetch-depth: 0 + lfs: true + - uses: pnpm/action-setup@v6 + with: + version: 11.1.1 + - uses: actions/setup-node@v6 + with: + node-version: 24 + cache: 'pnpm' + cache-dependency-path: nodejs/pnpm-lock.yaml + - uses: Swatinem/rust-cache@v2 + with: + # Same crate, profile and target as the `linux` job above, so reuse + # its cache: rust-cache keys on the job id by default, and this job + # would otherwise start cold on every run until it had saved its own. + shared-key: linux + save-if: ${{ github.ref == 'refs/heads/main' }} + - name: Install dependencies + run: | + sudo apt update + sudo apt install -y protobuf-compiler libssl-dev + - name: Build + run: | + pnpm install --frozen-lockfile + # No `--` separator: pnpm forwards it literally, which would + # make napi-rs treat `--profile ci` as a cargo passthrough arg. + pnpm build:debug --profile ci + - name: Resolve apache-arrow to ${{ matrix.arrow-version }} + run: | + # The older releases are already installed as the `apache-arrow-NN` + # test aliases. With pnpm's hoisted linker each alias is a complete, + # self-contained directory, so swap it in for the library's own + # `apache-arrow` instead of running a second install, which has been + # seen to hang after printing "Done" in CI. A copy, not a symlink: the + # cross-version tests rely on the alias being a separate module + # instance from the one the library loads. + major="$(echo '${{ matrix.arrow-version }}' | cut -d. -f1)" + mv node_modules/apache-arrow node_modules/apache-arrow.pinned + cp -R "node_modules/apache-arrow-${major}" node_modules/apache-arrow + # `require("apache-arrow/package.json")` is blocked by the package's exports map. + node -p "'apache-arrow resolved to ' + JSON.parse(require('fs').readFileSync('node_modules/apache-arrow/package.json')).version" + pnpm tsc + - name: Test + env: + # Newer @smithy/core uses dynamic ESM imports. + NODE_OPTIONS: "--experimental-vm-modules" + run: node_modules/.bin/jest --verbose macos: timeout-minutes: 30 # macos-15 ships a newer linker; the older macos-14 linker fails to insert diff --git a/docs/src/js/classes/AutoQuery.md b/docs/src/js/classes/AutoQuery.md index 1d7ea6952..79d666124 100644 --- a/docs/src/js/classes/AutoQuery.md +++ b/docs/src/js/classes/AutoQuery.md @@ -350,7 +350,7 @@ input to this method would be: #### Parameters -* **columns**: `string` \| `string`[] \| `Record`<`string`, `string`> \| `Map`<`string`, `string`> +* **columns**: `string` \| `string`[] \| `Map`<`string`, `string`> \| `Record`<`string`, `string`> #### Returns diff --git a/docs/src/js/classes/Query.md b/docs/src/js/classes/Query.md index 6ebaebd75..0abf49755 100644 --- a/docs/src/js/classes/Query.md +++ b/docs/src/js/classes/Query.md @@ -424,7 +424,7 @@ input to this method would be: #### Parameters -* **columns**: `string` \| `string`[] \| `Record`<`string`, `string`> \| `Map`<`string`, `string`> +* **columns**: `string` \| `string`[] \| `Map`<`string`, `string`> \| `Record`<`string`, `string`> #### Returns diff --git a/docs/src/js/classes/QueryBase.md b/docs/src/js/classes/QueryBase.md index 35c071525..664337bad 100644 --- a/docs/src/js/classes/QueryBase.md +++ b/docs/src/js/classes/QueryBase.md @@ -193,7 +193,7 @@ input to this method would be: #### Parameters -* **columns**: `string` \| `string`[] \| `Record`<`string`, `string`> \| `Map`<`string`, `string`> +* **columns**: `string` \| `string`[] \| `Map`<`string`, `string`> \| `Record`<`string`, `string`> #### Returns diff --git a/docs/src/js/classes/Table.md b/docs/src/js/classes/Table.md index 0d813ff1e..ac16b8a81 100644 --- a/docs/src/js/classes/Table.md +++ b/docs/src/js/classes/Table.md @@ -1381,7 +1381,7 @@ repeatedly calling this method. ##### Parameters -* **updates**: `Record`<`string`, `string`> \| `Map`<`string`, `string`> +* **updates**: `Map`<`string`, `string`> \| `Record`<`string`, `string`> the columns to update diff --git a/docs/src/js/classes/TakeQuery.md b/docs/src/js/classes/TakeQuery.md index 6ae2f9c8c..79a53f753 100644 --- a/docs/src/js/classes/TakeQuery.md +++ b/docs/src/js/classes/TakeQuery.md @@ -200,7 +200,7 @@ input to this method would be: #### Parameters -* **columns**: `string` \| `string`[] \| `Record`<`string`, `string`> \| `Map`<`string`, `string`> +* **columns**: `string` \| `string`[] \| `Map`<`string`, `string`> \| `Record`<`string`, `string`> #### Returns diff --git a/docs/src/js/classes/VectorQuery.md b/docs/src/js/classes/VectorQuery.md index f9412c76d..29749c28f 100644 --- a/docs/src/js/classes/VectorQuery.md +++ b/docs/src/js/classes/VectorQuery.md @@ -673,7 +673,7 @@ input to this method would be: #### Parameters -* **columns**: `string` \| `string`[] \| `Record`<`string`, `string`> \| `Map`<`string`, `string`> +* **columns**: `string` \| `string`[] \| `Map`<`string`, `string`> \| `Record`<`string`, `string`> #### Returns diff --git a/docs/src/js/globals.md b/docs/src/js/globals.md index a82d9e334..edb0bacc3 100644 --- a/docs/src/js/globals.md +++ b/docs/src/js/globals.md @@ -162,6 +162,7 @@ - [BlobReadOptions](type-aliases/BlobReadOptions.md) - [Data](type-aliases/Data.md) - [DataLike](type-aliases/DataLike.md) +- [DataTypeLike](type-aliases/DataTypeLike.md) - [FieldLike](type-aliases/FieldLike.md) - [IntoSql](type-aliases/IntoSql.md) - [IntoVector](type-aliases/IntoVector.md) diff --git a/docs/src/js/interfaces/CherryPickResult.md b/docs/src/js/interfaces/CherryPickResult.md index c837ab143..fdec8eedd 100644 --- a/docs/src/js/interfaces/CherryPickResult.md +++ b/docs/src/js/interfaces/CherryPickResult.md @@ -38,9 +38,9 @@ preview: CherryPickPreview; ```ts status: - | "failed" - | "unknown" | "ready" + | "failed" | "notImplemented" - | "cherryPicked"; + | "cherryPicked" + | "unknown"; ``` diff --git a/docs/src/js/interfaces/DropNamespaceOptions.md b/docs/src/js/interfaces/DropNamespaceOptions.md index 1863bb0cd..6e5f01d34 100644 --- a/docs/src/js/interfaces/DropNamespaceOptions.md +++ b/docs/src/js/interfaces/DropNamespaceOptions.md @@ -21,7 +21,7 @@ Refuse to drop if non-empty (restrict) or drop recursively (cascade). ### mode? ```ts -optional mode: "fail" | "skip"; +optional mode: "skip" | "fail"; ``` Whether to skip if the namespace doesn't exist, or fail. diff --git a/docs/src/js/namespaces/embedding/classes/EmbeddingFunction.md b/docs/src/js/namespaces/embedding/classes/EmbeddingFunction.md index 574a0d71f..b6291e0be 100644 --- a/docs/src/js/namespaces/embedding/classes/EmbeddingFunction.md +++ b/docs/src/js/namespaces/embedding/classes/EmbeddingFunction.md @@ -52,7 +52,7 @@ new EmbeddingFunction(): EmbeddingFunction ### computeQueryEmbeddings() ```ts -computeQueryEmbeddings(data): Promise +computeQueryEmbeddings(data): Promise ``` Compute the embeddings for a single query @@ -63,7 +63,7 @@ Compute the embeddings for a single query #### Returns -`Promise`<`number`[] \| `Uint8Array` \| `Float32Array` \| `Float64Array`> +`Promise`<`Float32Array` \| `Float64Array` \| `Uint8Array` \| `number`[]> *** diff --git a/docs/src/js/namespaces/embedding/classes/TextEmbeddingFunction.md b/docs/src/js/namespaces/embedding/classes/TextEmbeddingFunction.md index 444c4c3f0..0a0cc619d 100644 --- a/docs/src/js/namespaces/embedding/classes/TextEmbeddingFunction.md +++ b/docs/src/js/namespaces/embedding/classes/TextEmbeddingFunction.md @@ -37,7 +37,7 @@ new TextEmbeddingFunction(): TextEmbeddingFunction ### computeQueryEmbeddings() ```ts -computeQueryEmbeddings(data): Promise +computeQueryEmbeddings(data): Promise ``` Compute the embeddings for a single query @@ -48,7 +48,7 @@ Compute the embeddings for a single query #### Returns -`Promise`<`number`[] \| `Uint8Array` \| `Float32Array` \| `Float64Array`> +`Promise`<`Float32Array` \| `Float64Array` \| `Uint8Array` \| `number`[]> #### Overrides diff --git a/docs/src/js/type-aliases/DataTypeLike.md b/docs/src/js/type-aliases/DataTypeLike.md new file mode 100644 index 000000000..1f0ee6b81 --- /dev/null +++ b/docs/src/js/type-aliases/DataTypeLike.md @@ -0,0 +1,18 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / DataTypeLike + +# Type Alias: DataTypeLike + +```ts +type DataTypeLike: DataType | object; +``` + +A `DataType` from any copy or version of apache-arrow. + +Arrow 21 brands its classes with `unique symbol` properties, so a type +object from a second copy of the library no longer satisfies the `DataType` +type of this one even though it is structurally identical. Inputs that only +need to be sanitized accept this looser shape instead. diff --git a/nodejs/NODEJS_THIRD_PARTY_LICENSES.md b/nodejs/NODEJS_THIRD_PARTY_LICENSES.md index c0881f61e..550d2888c 100644 --- a/nodejs/NODEJS_THIRD_PARTY_LICENSES.md +++ b/nodejs/NODEJS_THIRD_PARTY_LICENSES.md @@ -275,6 +275,7 @@ [@types/node@20.16.10](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT [@types/node@20.17.9](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT [@types/node@22.7.4](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT +[@types/node@25.9.8](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT [@types/semver@7.5.6](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT [@types/stack-utils@2.0.3](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT [@types/tmp@0.2.6](https://github.com/DefinitelyTyped/DefinitelyTyped) - MIT @@ -306,6 +307,9 @@ [apache-arrow@16.0.0](https://github.com/apache/arrow) - Apache-2.0 [apache-arrow@17.0.0](https://github.com/apache/arrow) - Apache-2.0 [apache-arrow@18.0.0](https://github.com/apache/arrow) - Apache-2.0 +[apache-arrow@19.0.1](https://github.com/apache/arrow) - Apache-2.0 +[apache-arrow@20.0.0](https://github.com/apache/arrow) - Apache-2.0 +[apache-arrow@21.2.0](https://github.com/apache/arrow-js) - Apache-2.0 [argparse@1.0.10](https://github.com/nodeca/argparse) - MIT [argparse@2.0.1](https://github.com/nodeca/argparse) - Python-2.0 [array-back@3.1.0](https://github.com/75lb/array-back) - MIT @@ -348,6 +352,7 @@ [color@4.2.3](https://github.com/Qix-/color) - MIT [combined-stream@1.0.8](https://github.com/felixge/node-combined-stream) - MIT [command-line-args@5.2.1](https://github.com/75lb/command-line-args) - MIT +[command-line-args@6.0.2](https://github.com/75lb/command-line-args) - MIT [command-line-usage@7.0.1](https://github.com/75lb/command-line-usage) - MIT [concat-map@0.0.1](https://github.com/substack/node-concat-map) - MIT [convert-source-map@2.0.0](https://github.com/thlorenz/convert-source-map) - MIT @@ -398,12 +403,14 @@ [file-entry-cache@6.0.1](https://github.com/royriojas/file-entry-cache) - MIT [fill-range@7.1.1](https://github.com/jonschlinkert/fill-range) - MIT [find-replace@3.0.0](https://github.com/75lb/find-replace) - MIT +[find-replace@5.0.2](https://github.com/75lb/find-replace) - MIT [find-up@4.1.0](https://github.com/sindresorhus/find-up) - MIT [find-up@5.0.0](https://github.com/sindresorhus/find-up) - MIT [flat-cache@3.2.0](https://github.com/jaredwray/flat-cache) - MIT [flatbuffers@1.12.0](https://github.com/google/flatbuffers) - Apache* [flatbuffers@23.5.26](https://github.com/google/flatbuffers) - Apache* [flatbuffers@24.3.25](https://github.com/google/flatbuffers) - Apache-2.0 +[flatbuffers@25.9.23](https://github.com/google/flatbuffers) - Apache-2.0 [flatted@3.2.9](https://github.com/WebReflection/flatted) - ISC [follow-redirects@1.15.6](https://github.com/follow-redirects/follow-redirects) - MIT [foreground-child@3.3.0](https://github.com/tapjs/foreground-child) - ISC @@ -644,6 +651,7 @@ [uc.micro@2.1.0](https://github.com/markdown-it/uc.micro) - MIT [undici-types@5.26.5](https://github.com/nodejs/undici) - MIT [undici-types@6.19.8](https://github.com/nodejs/undici) - MIT +[undici-types@7.24.6](https://github.com/nodejs/undici) - MIT [update-browserslist-db@1.0.13](https://github.com/browserslist/update-db) - MIT [uri-js@4.4.1](https://github.com/garycourt/uri-js) - BSD-2-Clause [uuid@9.0.1](https://github.com/uuidjs/uuid) - MIT diff --git a/nodejs/__test__/arrow.test.ts b/nodejs/__test__/arrow.test.ts index df02b4936..e054a5495 100644 --- a/nodejs/__test__/arrow.test.ts +++ b/nodejs/__test__/arrow.test.ts @@ -2,10 +2,8 @@ // SPDX-FileCopyrightText: Copyright The LanceDB Authors import * as fs from "node:fs"; import * as vm from "node:vm"; -import * as arrow15 from "apache-arrow-15"; -import * as arrow16 from "apache-arrow-16"; -import * as arrow17 from "apache-arrow-17"; -import * as arrow18 from "apache-arrow-18"; + +import { type ApacheArrow, arrow15, arrowVersions } from "./arrow_versions"; import { Field as CurrentField, @@ -110,1541 +108,1502 @@ it("preserves field metadata from a provided schema", async function () { expect(roundTripped.schema.fields[0].metadata).toEqual(jsonMetadata); }); -describe.each([arrow15, arrow16, arrow17, arrow18])( - "Arrow", - ( - arrow: typeof arrow15 | typeof arrow16 | typeof arrow17 | typeof arrow18, - ) => { - type ApacheArrow = - | typeof arrow15 - | typeof arrow16 - | typeof arrow17 - | typeof arrow18; - const { - Schema, - Field, - Binary, - Bool, - Utf8, - Float64, - Struct, - List, - Map_, - Int16, - Int32, - Int64, - Float, - Float16, - Float32, - FixedSizeList, - Precision, - tableFromIPC, - DataType, - Dictionary, - RecordBatch: ArrowRecordBatch, - Table: ArrowTable, - Uint8: ArrowUint8, - makeData: arrowMakeData, - vectorFromArray, +describe.each(arrowVersions)("Arrow %#", (arrow: ApacheArrow) => { + const { + Schema, + Field, + Binary, + Bool, + Utf8, + Float64, + Struct, + List, + Map_, + Int16, + Int32, + Int64, + Float, + Float16, + Float32, + FixedSizeList, + Precision, + tableFromIPC, + DataType, + Dictionary, + RecordBatch: ArrowRecordBatch, + Table: ArrowTable, + Uint8: ArrowUint8, + makeData: arrowMakeData, + vectorFromArray, + // biome-ignore lint/suspicious/noExplicitAny: + } = arrow; + type Schema = ApacheArrow["Schema"]; + type Table = ApacheArrow["Table"]; + + function expectValidMapField( + // biome-ignore lint/suspicious/noExplicitAny: Arrow Field types vary across supported versions + field: any, + ): void { + expect(DataType.isMap(field.type)).toBe(true); + expect(field.type.keysSorted).toBe(true); + expect(field.type.children).toHaveLength(1); + + const entries = field.type.children[0]; + expect(entries.name).toBe("entries"); + expect(entries.nullable).toBe(false); + expect(DataType.isStruct(entries.type)).toBe(true); + expect(entries.type.children).toHaveLength(2); + + const [key, value] = entries.type.children; + expect([key.name, value.name]).toEqual(["key", "value"]); + expect(key.nullable).toBe(false); + expect(DataType.isUtf8(key.type)).toBe(true); + expect(value.nullable).toBe(true); + expect(DataType.isInt(value.type)).toBe(true); + expect(value.type.bitWidth).toBe(32); + expect(value.type.isSigned).toBe(true); + } + + // Helper method to verify various ways to create a table + async function checkTableCreation( + tableCreationMethod: ( + records: Record[], + recordsReversed: Record[], + schema: Schema, + ) => Promise, + infersTypes: boolean, + ): Promise { + const records = sampleRecords(); + const recordsReversed = [ + { + list: ["anime", "action", "comedy"], + struct: { x: 0, y: 0 }, + string: "hello", + number: 7, + boolean: false, + binary: Buffer.alloc(5), + }, + ]; + const schema = new Schema([ + new Field("binary", new Binary(), false), + new Field("boolean", new Bool(), false), + new Field("number", new Float64(), false), + new Field("string", new Utf8(), false), + new Field( + "struct", + new Struct([ + new Field("x", new Float64(), false), + new Field("y", new Float64(), false), + ]), + ), + new Field("list", new List(new Field("item", new Utf8(), false)), false), + ]); + const table = (await tableCreationMethod( + records, + recordsReversed, + schema, // biome-ignore lint/suspicious/noExplicitAny: - } = arrow; - type Schema = ApacheArrow["Schema"]; - type Table = ApacheArrow["Table"]; + )) as any; - function expectValidMapField( - // biome-ignore lint/suspicious/noExplicitAny: Arrow Field types vary across supported versions - field: any, - ): void { - expect(DataType.isMap(field.type)).toBe(true); - expect(field.type.keysSorted).toBe(true); - expect(field.type.children).toHaveLength(1); + // We expect deterministic ordering of the fields + expect(table.schema.names).toEqual(schema.names); - const entries = field.type.children[0]; - expect(entries.name).toBe("entries"); - expect(entries.nullable).toBe(false); - expect(DataType.isStruct(entries.type)).toBe(true); - expect(entries.type.children).toHaveLength(2); + schema.fields.forEach( + ( + // biome-ignore lint/suspicious/noExplicitAny: + field: { name: any; type: { toString: () => any } }, + idx: string | number, + ) => { + const actualField = table.schema.fields[idx]; + // Type inference always assumes nullable=true + if (infersTypes) { + expect(actualField.nullable).toBe(true); + } else { + expect(actualField.nullable).toBe(false); + } + expect(table.getChild(field.name)?.type.toString()).toEqual( + field.type.toString(), + ); + expect(table.getChildAt(idx)?.type.toString()).toEqual( + field.type.toString(), + ); + }, + ); + } - const [key, value] = entries.type.children; - expect([key.name, value.name]).toEqual(["key", "value"]); - expect(key.nullable).toBe(false); - expect(DataType.isUtf8(key.type)).toBe(true); - expect(value.nullable).toBe(true); - expect(DataType.isInt(value.type)).toBe(true); - expect(value.type.bitWidth).toBe(32); - expect(value.type.isSigned).toBe(true); - } - - // Helper method to verify various ways to create a table - async function checkTableCreation( - tableCreationMethod: ( - records: Record[], - recordsReversed: Record[], - schema: Schema, - ) => Promise
, - infersTypes: boolean, - ): Promise { - const records = sampleRecords(); - const recordsReversed = [ - { - list: ["anime", "action", "comedy"], - struct: { x: 0, y: 0 }, - string: "hello", - number: 7, - boolean: false, - binary: Buffer.alloc(5), - }, + describe("The function makeArrowTable", function () { + it("accepts snake_case embedding metadata like camelCase", function () { + const spellings = [ + // biome-ignore lint/style/useNamingConvention: the Python wire spelling + { source_column: "text", vector_column: "vector" }, + { sourceColumn: "text", vectorColumn: "vector" }, ]; - const schema = new Schema([ - new Field("binary", new Binary(), false), - new Field("boolean", new Bool(), false), - new Field("number", new Float64(), false), - new Field("string", new Utf8(), false), - new Field( - "struct", - new Struct([ - new Field("x", new Float64(), false), - new Field("y", new Float64(), false), + for (const columns of spellings) { + const schema = new Schema( + [ + new Field("text", new Utf8(), false), + new Field( + "vector", + new FixedSizeList(3, new Field("item", new Float32(), true)), + false, + ), + ], + new Map([ + [ + "embedding_functions", + JSON.stringify([{ name: "mock", model: {}, ...columns }]), + ], ]), - ), + ); + // The vector field is non-nullable and absent from the data; only a + // recognized embedding config makes that acceptable. + const table = makeArrowTable([{ text: "hello" }], { schema }); + expect(table.numRows).toBe(1); + } + }); + + it("will use data types from a provided schema instead of inference", async function () { + const schema = new Schema([ + new Field("a", new Int32(), false), + new Field("b", new Float32(), true), + new Field("c", new FixedSizeList(3, new Field("item", new Float16()))), + new Field("d", new Int64(), true), + ]); + const table = makeArrowTable( + [ + { a: 1, b: 2, c: [1, 2, 3], d: 9 }, + { a: 4, b: 5, c: [4, 5, 6], d: 10 }, + { a: 7, b: 8, c: [7, 8, 9], d: null }, + ], + { schema }, + ); + + const buf = await fromTableToBuffer(table); + expect(buf.byteLength).toBeGreaterThan(0); + + const actual = tableFromIPC(buf); + expect(actual.numRows).toBe(3); + const actualSchema = actual.schema; + expect(actualSchema).toEqual(schema); + expect(table.getChild("a")?.toJSON()).toEqual([1, 4, 7]); + expect(table.getChild("b")?.toJSON()).toEqual([2, 5, 8]); + expect(table.getChild("d")?.toJSON()).toEqual([9n, 10n, null]); + }); + + it("will use a provided FixedSizeList schema with typed array values", function () { + const schema = new Schema([ + new Field("text", new Utf8(), false), new Field( - "list", - new List(new Field("item", new Utf8(), false)), + "vector", + new FixedSizeList(3, new Field("item", new Float32(), false)), false, ), ]); - const table = (await tableCreationMethod( - records, - recordsReversed, - schema, - // biome-ignore lint/suspicious/noExplicitAny: - )) as any; - // We expect deterministic ordering of the fields - expect(table.schema.names).toEqual(schema.names); + const table = makeArrowTable( + [ + { + text: "foo", + vector: new Float32Array([1, 2, 3]), + }, + ], + { schema }, + ); - schema.fields.forEach( - ( - // biome-ignore lint/suspicious/noExplicitAny: - field: { name: any; type: { toString: () => any } }, - idx: string | number, - ) => { - const actualField = table.schema.fields[idx]; - // Type inference always assumes nullable=true - if (infersTypes) { - expect(actualField.nullable).toBe(true); - } else { - expect(actualField.nullable).toBe(false); - } - expect(table.getChild(field.name)?.type.toString()).toEqual( - field.type.toString(), - ); - expect(table.getChildAt(idx)?.type.toString()).toEqual( - field.type.toString(), - ); + expect(table.getChild("text")?.toJSON()).toEqual(["foo"]); + expect( + table + .getChild("vector") + ?.toJSON() + .map((value) => value.toJSON()), + ).toEqual([[1, 2, 3]]); + }); + + it("will assume the column `vector` is FixedSizeList by default", async function () { + const schema = new Schema([ + new Field("a", new Float(Precision.DOUBLE), true), + new Field("b", new Int64(), true), + new Field( + "vector", + new FixedSizeList( + 3, + new Field("item", new Float(Precision.SINGLE), true), + ), + true, + ), + ]); + const table = makeArrowTable([ + { a: 1, b: 2n, vector: [1, 2, 3] }, + { a: 4, b: 5n, vector: [4, 5, 6] }, + { a: 7, b: 8n, vector: [7, 8, 9] }, + ]); + + const buf = await fromTableToBuffer(table); + expect(buf.byteLength).toBeGreaterThan(0); + + const actual = tableFromIPC(buf); + expect(actual.numRows).toBe(3); + const actualSchema = actual.schema; + expect(actualSchema).toEqual(schema); + + expect(table.getChild("a")?.toJSON()).toEqual([1, 4, 7]); + expect(table.getChild("b")?.toJSON()).toEqual([2n, 5n, 8n]); + expect( + table + .getChild("vector") + ?.toJSON() + .map((v) => v.toJSON()), + ).toEqual([ + [1, 2, 3], + [4, 5, 6], + [7, 8, 9], + ]); + }); + + it("can support multiple vector columns", async function () { + const schema = new Schema([ + new Field("a", new Float(Precision.DOUBLE), true), + new Field("b", new Float(Precision.DOUBLE), true), + new Field( + "vec1", + new FixedSizeList(3, new Field("item", new Float16(), true)), + true, + ), + new Field( + "vec2", + new FixedSizeList(3, new Field("item", new Float64(), true)), + true, + ), + ]); + const table = makeArrowTable( + [ + { a: 1, b: 2, vec1: [1, 2, 3], vec2: [2, 4, 6] }, + { a: 4, b: 5, vec1: [4, 5, 6], vec2: [8, 10, 12] }, + { a: 7, b: 8, vec1: [7, 8, 9], vec2: [14, 16, 18] }, + ], + { + vectorColumns: { + vec1: { type: new Float16() }, + vec2: { type: new Float64() }, + }, }, ); - } - describe("The function makeArrowTable", function () { - it("accepts snake_case embedding metadata like camelCase", function () { - const spellings = [ - // biome-ignore lint/style/useNamingConvention: the Python wire spelling - { source_column: "text", vector_column: "vector" }, - { sourceColumn: "text", vectorColumn: "vector" }, - ]; - for (const columns of spellings) { - const schema = new Schema( - [ - new Field("text", new Utf8(), false), - new Field( - "vector", - new FixedSizeList(3, new Field("item", new Float32(), true)), - false, - ), - ], - new Map([ - [ - "embedding_functions", - JSON.stringify([{ name: "mock", model: {}, ...columns }]), - ], - ]), - ); - // The vector field is non-nullable and absent from the data; only a - // recognized embedding config makes that acceptable. - const table = makeArrowTable([{ text: "hello" }], { schema }); - expect(table.numRows).toBe(1); - } - }); + const buf = await fromTableToBuffer(table); + expect(buf.byteLength).toBeGreaterThan(0); - it("will use data types from a provided schema instead of inference", async function () { - const schema = new Schema([ - new Field("a", new Int32(), false), - new Field("b", new Float32(), true), - new Field( - "c", - new FixedSizeList(3, new Field("item", new Float16())), - ), - new Field("d", new Int64(), true), - ]); - const table = makeArrowTable( - [ - { a: 1, b: 2, c: [1, 2, 3], d: 9 }, - { a: 4, b: 5, c: [4, 5, 6], d: 10 }, - { a: 7, b: 8, c: [7, 8, 9], d: null }, - ], - { schema }, - ); + const actual = tableFromIPC(buf); + expect(actual.numRows).toBe(3); + const actualSchema = actual.schema; + expect(actualSchema).toEqual(schema); + }); - const buf = await fromTableToBuffer(table); - expect(buf.byteLength).toBeGreaterThan(0); + it("will detect vector columns when name contains 'vector' or 'embedding'", async function () { + // Test various naming patterns that should be detected as vector columns + const floatVectorTable = makeArrowTable([ + { + // Float vectors (use decimal values to ensure they're treated as floats) + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + user_vector: [1.1, 2.2], + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + text_embedding: [3.3, 4.4], + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + doc_embeddings: [5.5, 6.6], + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + my_vector_field: [7.7, 8.8], + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + embedding_model: [9.9, 10.1], + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + VECTOR_COL: [11.1, 12.2], // uppercase + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + Vector_Mixed: [13.3, 14.4], // mixed case + }, + ]); - const actual = tableFromIPC(buf); - expect(actual.numRows).toBe(3); - const actualSchema = actual.schema; - expect(actualSchema).toEqual(schema); - expect(table.getChild("a")?.toJSON()).toEqual([1, 4, 7]); - expect(table.getChild("b")?.toJSON()).toEqual([2, 5, 8]); - expect(table.getChild("d")?.toJSON()).toEqual([9n, 10n, null]); - }); + // Check that columns with 'vector' or 'embedding' in name are converted to FixedSizeList + const floatVectorColumns = [ + "user_vector", + "text_embedding", + "doc_embeddings", + "my_vector_field", + "embedding_model", + "VECTOR_COL", + "Vector_Mixed", + ]; - it("will use a provided FixedSizeList schema with typed array values", function () { - const schema = new Schema([ - new Field("text", new Utf8(), false), - new Field( - "vector", - new FixedSizeList(3, new Field("item", new Float32(), false)), - false, - ), - ]); - - const table = makeArrowTable( - [ - { - text: "foo", - vector: new Float32Array([1, 2, 3]), - }, - ], - { schema }, - ); - - expect(table.getChild("text")?.toJSON()).toEqual(["foo"]); + for (const columnName of floatVectorColumns) { expect( - table - .getChild("vector") - ?.toJSON() - .map((value) => value.toJSON()), - ).toEqual([[1, 2, 3]]); - }); - - it("will assume the column `vector` is FixedSizeList by default", async function () { - const schema = new Schema([ - new Field("a", new Float(Precision.DOUBLE), true), - new Field("b", new Int64(), true), - new Field( - "vector", - new FixedSizeList( - 3, - new Field("item", new Float(Precision.SINGLE), true), - ), - true, - ), - ]); - const table = makeArrowTable([ - { a: 1, b: 2n, vector: [1, 2, 3] }, - { a: 4, b: 5n, vector: [4, 5, 6] }, - { a: 7, b: 8n, vector: [7, 8, 9] }, - ]); - - const buf = await fromTableToBuffer(table); - expect(buf.byteLength).toBeGreaterThan(0); - - const actual = tableFromIPC(buf); - expect(actual.numRows).toBe(3); - const actualSchema = actual.schema; - expect(actualSchema).toEqual(schema); - - expect(table.getChild("a")?.toJSON()).toEqual([1, 4, 7]); - expect(table.getChild("b")?.toJSON()).toEqual([2n, 5n, 8n]); + DataType.isFixedSizeList(floatVectorTable.getChild(columnName)?.type), + ).toBe(true); + // Check that float vectors use Float32 by default expect( - table - .getChild("vector") - ?.toJSON() - .map((v) => v.toJSON()), - ).toEqual([ - [1, 2, 3], - [4, 5, 6], - [7, 8, 9], - ]); - }); + floatVectorTable + .getChild(columnName) + ?.type.children[0].type.toString(), + ).toEqual(new Float32().toString()); + } - it("can support multiple vector columns", async function () { - const schema = new Schema([ - new Field("a", new Float(Precision.DOUBLE), true), - new Field("b", new Float(Precision.DOUBLE), true), - new Field( - "vec1", - new FixedSizeList(3, new Field("item", new Float16(), true)), - true, - ), - new Field( - "vec2", - new FixedSizeList(3, new Field("item", new Float64(), true)), - true, - ), - ]); - const table = makeArrowTable( - [ - { a: 1, b: 2, vec1: [1, 2, 3], vec2: [2, 4, 6] }, - { a: 4, b: 5, vec1: [4, 5, 6], vec2: [8, 10, 12] }, - { a: 7, b: 8, vec1: [7, 8, 9], vec2: [14, 16, 18] }, - ], - { - vectorColumns: { - vec1: { type: new Float16() }, - vec2: { type: new Float64() }, - }, - }, - ); + // Test that regular integer arrays still get treated as float vectors + // (since JavaScript doesn't distinguish integers from floats at runtime) + const integerArrayTable = makeArrowTable([ + { + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + vector_int: [1, 2], // Regular array with integers - should be Float32 + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + embedding_int: [3, 4], // Regular array with integers - should be Float32 + }, + ]); - const buf = await fromTableToBuffer(table); - expect(buf.byteLength).toBeGreaterThan(0); - - const actual = tableFromIPC(buf); - expect(actual.numRows).toBe(3); - const actualSchema = actual.schema; - expect(actualSchema).toEqual(schema); - }); - - it("will detect vector columns when name contains 'vector' or 'embedding'", async function () { - // Test various naming patterns that should be detected as vector columns - const floatVectorTable = makeArrowTable([ - { - // Float vectors (use decimal values to ensure they're treated as floats) - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - user_vector: [1.1, 2.2], - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - text_embedding: [3.3, 4.4], - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - doc_embeddings: [5.5, 6.6], - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - my_vector_field: [7.7, 8.8], - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - embedding_model: [9.9, 10.1], - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - VECTOR_COL: [11.1, 12.2], // uppercase - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - Vector_Mixed: [13.3, 14.4], // mixed case - }, - ]); - - // Check that columns with 'vector' or 'embedding' in name are converted to FixedSizeList - const floatVectorColumns = [ - "user_vector", - "text_embedding", - "doc_embeddings", - "my_vector_field", - "embedding_model", - "VECTOR_COL", - "Vector_Mixed", - ]; - - for (const columnName of floatVectorColumns) { - expect( - DataType.isFixedSizeList( - floatVectorTable.getChild(columnName)?.type, - ), - ).toBe(true); - // Check that float vectors use Float32 by default - expect( - floatVectorTable - .getChild(columnName) - ?.type.children[0].type.toString(), - ).toEqual(new Float32().toString()); - } - - // Test that regular integer arrays still get treated as float vectors - // (since JavaScript doesn't distinguish integers from floats at runtime) - const integerArrayTable = makeArrowTable([ - { - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - vector_int: [1, 2], // Regular array with integers - should be Float32 - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - embedding_int: [3, 4], // Regular array with integers - should be Float32 - }, - ]); - - const integerArrayColumns = ["vector_int", "embedding_int"]; - - for (const columnName of integerArrayColumns) { - expect( - DataType.isFixedSizeList( - integerArrayTable.getChild(columnName)?.type, - ), - ).toBe(true); - // Regular integer arrays should use Float32 (avoiding false positives) - expect( - integerArrayTable - .getChild(columnName) - ?.type.children[0].type.toString(), - ).toEqual(new Float32().toString()); - } - - // Test normal list should NOT be converted to FixedSizeList - const normalListTable = makeArrowTable([ - { - // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns - normal_list: [15.5, 16.6], // should NOT be detected as vector - }, - ]); + const integerArrayColumns = ["vector_int", "embedding_int"]; + for (const columnName of integerArrayColumns) { expect( DataType.isFixedSizeList( - normalListTable.getChild("normal_list")?.type, + integerArrayTable.getChild(columnName)?.type, ), - ).toBe(false); - expect( - DataType.isList(normalListTable.getChild("normal_list")?.type), ).toBe(true); - }); - - it("will allow different vector column types", async function () { - const table = makeArrowTable([{ fp16: [1], fp32: [1], fp64: [1] }], { - vectorColumns: { - fp16: { type: new Float16() }, - fp32: { type: new Float32() }, - fp64: { type: new Float64() }, - }, - }); - + // Regular integer arrays should use Float32 (avoiding false positives) expect( - table.getChild("fp16")?.type.children[0].type.toString(), - ).toEqual(new Float16().toString()); - expect( - table.getChild("fp32")?.type.children[0].type.toString(), + integerArrayTable + .getChild(columnName) + ?.type.children[0].type.toString(), ).toEqual(new Float32().toString()); - expect( - table.getChild("fp64")?.type.children[0].type.toString(), - ).toEqual(new Float64().toString()); + } + + // Test normal list should NOT be converted to FixedSizeList + const normalListTable = makeArrowTable([ + { + // biome-ignore lint/style/useNamingConvention: Testing vector column detection patterns + normal_list: [15.5, 16.6], // should NOT be detected as vector + }, + ]); + + expect( + DataType.isFixedSizeList(normalListTable.getChild("normal_list")?.type), + ).toBe(false); + expect( + DataType.isList(normalListTable.getChild("normal_list")?.type), + ).toBe(true); + }); + + it("will allow different vector column types", async function () { + const table = makeArrowTable([{ fp16: [1], fp32: [1], fp64: [1] }], { + vectorColumns: { + fp16: { type: new Float16() }, + fp32: { type: new Float32() }, + fp64: { type: new Float64() }, + }, }); - it("will infer FixedSizeList from Float32Array values", async function () { - const table = makeArrowTable([ - { id: "a", vector: new Float32Array([0.1, 0.2, 0.3]) }, - { id: "b", vector: new Float32Array([0.4, 0.5, 0.6]) }, - ]); + expect(table.getChild("fp16")?.type.children[0].type.toString()).toEqual( + new Float16().toString(), + ); + expect(table.getChild("fp32")?.type.children[0].type.toString()).toEqual( + new Float32().toString(), + ); + expect(table.getChild("fp64")?.type.children[0].type.toString()).toEqual( + new Float64().toString(), + ); + }); - expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( + it("will infer FixedSizeList from Float32Array values", async function () { + const table = makeArrowTable([ + { id: "a", vector: new Float32Array([0.1, 0.2, 0.3]) }, + { id: "b", vector: new Float32Array([0.4, 0.5, 0.6]) }, + ]); + + expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( + true, + ); + const vectorType = table.getChild("vector")?.type; + expect(vectorType.listSize).toBe(3); + expect(vectorType.children[0].type.toString()).toEqual( + new Float32().toString(), + ); + }); + + it("will infer FixedSizeList from Uint8Array values", async function () { + const table = makeArrowTable([ + { id: "a", vector: new Uint8Array([1, 2, 3]) }, + { id: "b", vector: new Uint8Array([4, 5, 6]) }, + ]); + + expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( + true, + ); + const vectorType = table.getChild("vector")?.type; + expect(vectorType.listSize).toBe(3); + expect(vectorType.children[0].type.toString()).toEqual( + new ArrowUint8().toString(), + ); + }); + + it("will use dictionary encoded strings if asked", async function () { + const table = makeArrowTable([{ str: "hello" }]); + expect(DataType.isUtf8(table.getChild("str")?.type)).toBe(true); + + const tableWithDict = makeArrowTable([{ str: "hello" }], { + dictionaryEncodeStrings: true, + }); + expect(DataType.isDictionary(tableWithDict.getChild("str")?.type)).toBe( + true, + ); + + const schema = new Schema([ + new Field("str", new Dictionary(new Utf8(), new Int32())), + ]); + + const tableWithDict2 = makeArrowTable([{ str: "hello" }], { schema }); + expect(DataType.isDictionary(tableWithDict2.getChild("str")?.type)).toBe( + true, + ); + }); + + it("will infer data types correctly", async function () { + await checkTableCreation( + // biome-ignore lint/suspicious/noExplicitAny: + async (records) => (makeArrowTable)(records), + true, + ); + }); + + it("will allow matching inferred types across records", function () { + expect(() => makeArrowTable([{ value: 1 }, { value: 2 }])).not.toThrow(); + }); + + it("will reject mismatched inferred types across records", function () { + expect(() => makeArrowTable([{ value: 1 }, { value: "two" }])).toThrow( + "Failed to infer schema for data. Previously inferred type Float64 but found Utf8 for field value at row 1. Consider providing an explicit schema.", + ); + }); + + it.each([ + ["ArrayBuffer", new Uint8Array([104]).buffer], + ["URL", new URL("https://example.com/")], + ["empty object", {}], + [ + "class instance with enumerable fields", + Object.assign(new Blob(["x"]), { position: 0 }), + ], + ])("rejects %s values without a schema", (_name, value) => { + expect(() => makeArrowTable([{ id: 1, value }])).toThrow( + /field value at row 0/, + ); + expect(() => makeArrowTable([{ value }])).toThrow(/field value at row 0/); + }); + + it.each([ + ["Binary", new Binary(), new Uint8Array([104]).buffer], + ["Utf8", new Utf8(), new URL("https://example.com/")], + ])("rejects %s values with a schema", (_name, type, value) => { + const schema = new Schema([new Field("value", type, true)]); + expect(() => makeArrowTable([{ value }], { schema })).toThrow( + /field value at row 0/, + ); + }); + + it("rejects unsupported values in nested struct fields", () => { + const schema = new Schema([ + new Field( + "metadata", + new Struct([new Field("bytes", new Binary(), true)]), true, - ); - const vectorType = table.getChild("vector")?.type; - expect(vectorType.listSize).toBe(3); - expect(vectorType.children[0].type.toString()).toEqual( - new Float32().toString(), - ); - }); + ), + ]); + expect(() => + makeArrowTable( + [{ metadata: { bytes: new Uint8Array([104]).buffer } }], + { schema }, + ), + ).toThrow(/field metadata\.bytes at row 0/); + }); - it("will infer FixedSizeList from Uint8Array values", async function () { - const table = makeArrowTable([ - { id: "a", vector: new Uint8Array([1, 2, 3]) }, - { id: "b", vector: new Uint8Array([4, 5, 6]) }, - ]); - - expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( + it("rejects unsupported objects in list elements", () => { + const schema = new Schema([ + new Field( + "images", + new List(new Field("item", new Binary(), true)), true, - ); - const vectorType = table.getChild("vector")?.type; - expect(vectorType.listSize).toBe(3); - expect(vectorType.children[0].type.toString()).toEqual( - new ArrowUint8().toString(), - ); - }); + ), + ]); + expect(() => + makeArrowTable([{ images: [new Blob(["abc"])] }], { schema }), + ).toThrow(/field images\[0\] at row 0/); + }); - it("will use dictionary encoded strings if asked", async function () { - const table = makeArrowTable([{ str: "hello" }]); - expect(DataType.isUtf8(table.getChild("str")?.type)).toBe(true); - - const tableWithDict = makeArrowTable([{ str: "hello" }], { - dictionaryEncodeStrings: true, - }); - expect(DataType.isDictionary(tableWithDict.getChild("str")?.type)).toBe( - true, - ); - - const schema = new Schema([ - new Field("str", new Dictionary(new Utf8(), new Int32())), - ]); - - const tableWithDict2 = makeArrowTable([{ str: "hello" }], { schema }); - expect( - DataType.isDictionary(tableWithDict2.getChild("str")?.type), - ).toBe(true); - }); - - it("will infer data types correctly", async function () { - await checkTableCreation( - // biome-ignore lint/suspicious/noExplicitAny: - async (records) => (makeArrowTable)(records), - true, - ); - }); - - it("will allow matching inferred types across records", function () { - expect(() => - makeArrowTable([{ value: 1 }, { value: 2 }]), - ).not.toThrow(); - }); - - it("will reject mismatched inferred types across records", function () { - expect(() => makeArrowTable([{ value: 1 }, { value: "two" }])).toThrow( - "Failed to infer schema for data. Previously inferred type Float64 but found Utf8 for field value at row 1. Consider providing an explicit schema.", - ); - }); - - it.each([ - ["ArrayBuffer", new Uint8Array([104]).buffer], - ["URL", new URL("https://example.com/")], - ["empty object", {}], - [ - "class instance with enumerable fields", - Object.assign(new Blob(["x"]), { position: 0 }), - ], - ])("rejects %s values without a schema", (_name, value) => { - expect(() => makeArrowTable([{ id: 1, value }])).toThrow( - /field value at row 0/, - ); - expect(() => makeArrowTable([{ value }])).toThrow( - /field value at row 0/, - ); - }); - - it.each([ - ["Binary", new Binary(), new Uint8Array([104]).buffer], - ["Utf8", new Utf8(), new URL("https://example.com/")], - ])("rejects %s values with a schema", (_name, type, value) => { - const schema = new Schema([new Field("value", type, true)]); - expect(() => makeArrowTable([{ value }], { schema })).toThrow( - /field value at row 0/, - ); - }); - - it("rejects unsupported values in nested struct fields", () => { - const schema = new Schema([ - new Field( - "metadata", - new Struct([new Field("bytes", new Binary(), true)]), - true, - ), - ]); - expect(() => - makeArrowTable( - [{ metadata: { bytes: new Uint8Array([104]).buffer } }], - { schema }, - ), - ).toThrow(/field metadata\.bytes at row 0/); - }); - - it("rejects unsupported objects in list elements", () => { - const schema = new Schema([ - new Field( - "images", - new List(new Field("item", new Binary(), true)), - true, - ), - ]); - expect(() => - makeArrowTable([{ images: [new Blob(["abc"])] }], { schema }), - ).toThrow(/field images\[0\] at row 0/); - }); - - it("rejects unsupported objects in nested lists", () => { - const schema = new Schema([ - new Field( - "images", - new List( - new Field( - "item", - new List(new Field("item", new Binary(), true)), - true, - ), + it("rejects unsupported objects in nested lists", () => { + const schema = new Schema([ + new Field( + "images", + new List( + new Field( + "item", + new List(new Field("item", new Binary(), true)), + true, ), - true, ), - ]); - expect(() => - makeArrowTable([{ images: [[new Blob(["abc"])]] }], { schema }), - ).toThrow(/field images\[0\]\[0\] at row 0/); - }); + true, + ), + ]); + expect(() => + makeArrowTable([{ images: [[new Blob(["abc"])]] }], { schema }), + ).toThrow(/field images\[0\]\[0\] at row 0/); + }); - it("rejects unsupported nested struct fields in lists", () => { - const schema = new Schema([ - new Field( - "items", - new List( - new Field( - "item", - new Struct([new Field("bytes", new Binary(), true)]), - true, - ), + it("rejects unsupported nested struct fields in lists", () => { + const schema = new Schema([ + new Field( + "items", + new List( + new Field( + "item", + new Struct([new Field("bytes", new Binary(), true)]), + true, ), - true, ), - ]); - expect(() => - makeArrowTable( - [{ items: [{ bytes: new Uint8Array([104]).buffer }] }], - { schema }, - ), - ).toThrow(/field items\[0\]\.bytes at row 0/); + true, + ), + ]); + expect(() => + makeArrowTable([{ items: [{ bytes: new Uint8Array([104]).buffer }] }], { + schema, + }), + ).toThrow(/field items\[0\]\.bytes at row 0/); + }); + + it("will ignore generated dictionary IDs when comparing inferred types", function () { + const table = makeArrowTable([{ str: "a" }, { str: "b" }], { + dictionaryEncodeStrings: true, }); - it("will ignore generated dictionary IDs when comparing inferred types", function () { - const table = makeArrowTable([{ str: "a" }, { str: "b" }], { - dictionaryEncodeStrings: true, - }); + expect(table.getChild("str")?.toJSON()).toEqual(["a", "b"]); + }); - expect(table.getChild("str")?.toJSON()).toEqual(["a", "b"]); - }); + it("will preserve null values without treating them as type mismatches", function () { + for (const records of [ + [{ vector: [1, 2, 3] }, { vector: null }], + [{ vector: null }, { vector: [1, 2, 3] }], + ]) { + const table = makeArrowTable(records); - it("will preserve null values without treating them as type mismatches", function () { - for (const records of [ - [{ vector: [1, 2, 3] }, { vector: null }], - [{ vector: null }, { vector: [1, 2, 3] }], - ]) { - const table = makeArrowTable(records); + expect(table.numRows).toBe(2); + expect(table.getChild("vector")?.nullCount).toBe(1); + } + }); - expect(table.numRows).toBe(2); - expect(table.getChild("vector")?.nullCount).toBe(1); - } - }); - - it("will preserve empty variable-size lists", function () { - for (const records of [ - [{ items: [1] }, { items: [] }], - [{ items: [] }, { items: [1] }], - ]) { - const table = makeArrowTable(records); - expect( - table - .getChild("items") - ?.toJSON() - .map((value) => value.toJSON()), - ).toEqual(records.map((record) => record.items)); - } - }); - - it("will propagate deferred evidence through nested lists", function () { - for (const records of [ - [{ items: [1] }, { items: [null] }], - [{ items: [null] }, { items: [1] }], - [{ items: [null, 1] }, { items: [2, null] }], - ]) { - const table = makeArrowTable(records); - expect( - table - .getChild("items") - ?.toJSON() - .map((value) => value.toJSON()), - ).toEqual(records.map((record) => record.items)); - } - - const nestedRecords = [{ items: [[1]] }, { items: [[null]] }]; - const nestedTable = makeArrowTable(nestedRecords); + it("will preserve empty variable-size lists", function () { + for (const records of [ + [{ items: [1] }, { items: [] }], + [{ items: [] }, { items: [1] }], + ]) { + const table = makeArrowTable(records); expect( - nestedTable + table .getChild("items") ?.toJSON() - .map((value) => - value - .toJSON() - .map((nestedValue: { toJSON: () => unknown[] }) => - nestedValue.toJSON(), - ), - ), - ).toEqual(nestedRecords.map((record) => record.items)); - }); + .map((value) => value.toJSON()), + ).toEqual(records.map((record) => record.items)); + } + }); - it("will reject incompatible deferred evidence within a list", function () { - for (const items of [ - [[], 1], - [1, []], - [[null], 1], - [1, [null]], - ]) { - expect(() => makeArrowTable([{ items }])).toThrow( - "Failed to infer data type for field items at row 0.", - ); - } - }); + it("will propagate deferred evidence through nested lists", function () { + for (const records of [ + [{ items: [1] }, { items: [null] }], + [{ items: [null] }, { items: [1] }], + [{ items: [null, 1] }, { items: [2, null] }], + ]) { + const table = makeArrowTable(records); + expect( + table + .getChild("items") + ?.toJSON() + .map((value) => value.toJSON()), + ).toEqual(records.map((record) => record.items)); + } - it("will reject empty fixed-size lists", function () { - expect(() => - makeArrowTable([{ vector: [1, 2, 3] }, { vector: [] }]), - ).toThrow( - "Failed to infer schema for data. Previously inferred type FixedSizeList[3] but found List[0] for field vector at row 1.", + const nestedRecords = [{ items: [[1]] }, { items: [[null]] }]; + const nestedTable = makeArrowTable(nestedRecords); + expect( + nestedTable + .getChild("items") + ?.toJSON() + .map((value) => + value + .toJSON() + .map((nestedValue: { toJSON: () => unknown[] }) => + nestedValue.toJSON(), + ), + ), + ).toEqual(nestedRecords.map((record) => record.items)); + }); + + it("will reject incompatible deferred evidence within a list", function () { + for (const items of [ + [[], 1], + [1, []], + [[null], 1], + [1, [null]], + ]) { + expect(() => makeArrowTable([{ items }])).toThrow( + "Failed to infer data type for field items at row 0.", ); - }); + } + }); - it("will reject inferred leaf and branch shape changes", function () { - expect(() => - makeArrowTable([{ value: 1 }, { value: { nested: 2 } }]), - ).toThrow( - "Failed to infer schema for data. Previously inferred type Float64 but found Struct for field value at row 1.", - ); - expect(() => - makeArrowTable([{ value: { nested: 1 } }, { value: 2 }]), - ).toThrow( - "Failed to infer schema for data. Previously inferred type Struct but found Float64 for field value at row 1.", - ); - }); + it("will reject empty fixed-size lists", function () { + expect(() => + makeArrowTable([{ vector: [1, 2, 3] }, { vector: [] }]), + ).toThrow( + "Failed to infer schema for data. Previously inferred type FixedSizeList[3] but found List[0] for field vector at row 1.", + ); + }); - it("will allow null values around inferred struct values", function () { - for (const { records, nullIndex } of [ - { - records: [{ value: null }, { value: { nested: 2 } }], - nullIndex: 0, - }, - { - records: [{ value: { nested: 1 } }, { value: null }], - nullIndex: 1, - }, - ]) { - const table = makeArrowTable(records); - const values = table.getChild("value"); + it("will reject inferred leaf and branch shape changes", function () { + expect(() => + makeArrowTable([{ value: 1 }, { value: { nested: 2 } }]), + ).toThrow( + "Failed to infer schema for data. Previously inferred type Float64 but found Struct for field value at row 1.", + ); + expect(() => + makeArrowTable([{ value: { nested: 1 } }, { value: 2 }]), + ).toThrow( + "Failed to infer schema for data. Previously inferred type Struct but found Float64 for field value at row 1.", + ); + }); - expect(values?.nullCount).toBe(1); - expect(values?.get(nullIndex)).toBeNull(); - } - }); + it("will allow null values around inferred struct values", function () { + for (const { records, nullIndex } of [ + { + records: [{ value: null }, { value: { nested: 2 } }], + nullIndex: 0, + }, + { + records: [{ value: { nested: 1 } }, { value: null }], + nullIndex: 1, + }, + ]) { + const table = makeArrowTable(records); + const values = table.getChild("value"); - it("will allow a schema to be provided", async function () { - await checkTableCreation( - async (records, _, schema) => - // biome-ignore lint/suspicious/noExplicitAny: - (makeArrowTable)(records, { schema }), - false, - ); - }); + expect(values?.nullCount).toBe(1); + expect(values?.get(nullIndex)).toBeNull(); + } + }); - it("will use the field order of any provided schema", async function () { - await checkTableCreation( - async (_, recordsReversed, schema) => - // biome-ignore lint/suspicious/noExplicitAny: - (makeArrowTable)(recordsReversed, { schema }), - false, - ); - }); - - it("will make an empty table", async function () { - await checkTableCreation( + it("will allow a schema to be provided", async function () { + await checkTableCreation( + async (records, _, schema) => // biome-ignore lint/suspicious/noExplicitAny: - async (_, __, schema) => (makeArrowTable)([], { schema }), - false, - ); - }); + (makeArrowTable)(records, { schema }), + false, + ); + }); - it("will allow subsets of columns if nullable", async function () { - const schema = new Schema([ - new Field("a", new Int64(), true), + it("will use the field order of any provided schema", async function () { + await checkTableCreation( + async (_, recordsReversed, schema) => + // biome-ignore lint/suspicious/noExplicitAny: + (makeArrowTable)(recordsReversed, { schema }), + false, + ); + }); + + it("will make an empty table", async function () { + await checkTableCreation( + // biome-ignore lint/suspicious/noExplicitAny: + async (_, __, schema) => (makeArrowTable)([], { schema }), + false, + ); + }); + + it("will allow subsets of columns if nullable", async function () { + const schema = new Schema([ + new Field("a", new Int64(), true), + new Field( + "s", + new Struct([ + new Field("x", new Int32(), true), + new Field("y", new Int32(), true), + ]), + true, + ), + new Field("d", new Int16(), true), + ]); + + const table = makeArrowTable([{ a: 1n }], { schema }); + expect(table.numCols).toBe(1); + expect(table.numRows).toBe(1); + + const table2 = makeArrowTable([{ a: 1n, d: 2 }], { schema }); + expect(table2.numCols).toBe(2); + + const table3 = makeArrowTable([{ s: { y: 3 } }], { schema }); + expect(table3.numCols).toBe(1); + const expectedSchema = new Schema([ + new Field("s", new Struct([new Field("y", new Int32(), true)]), true), + ]); + expect(table3.schema).toEqual(expectedSchema); + }); + + it("will work even if columns are sparsely provided", async function () { + const sparseRecords = [{ a: 1n }, { b: 2n }, { c: 3n }, { d: 4n }]; + const table = makeArrowTable(sparseRecords); + expect(table.numCols).toBe(4); + expect(table.numRows).toBe(4); + + const schema = new Schema([ + new Field("a", new Int64(), true), + new Field("b", new Int32(), true), + new Field("c", new Int64(), true), + new Field("d", new Int16(), true), + ]); + const table2 = makeArrowTable(sparseRecords, { schema }); + expect(table2.numCols).toBe(4); + expect(table2.numRows).toBe(4); + expect(table2.schema).toEqual(schema); + }); + + it("will handle missing columns in schema alignment when using embeddings", async function () { + const schema = new Schema( + [ + new Field("domain", new Utf8(), true), + new Field("name", new Utf8(), true), + new Field("description", new Utf8(), true), + ], + new Map([["embedding_functions", JSON.stringify([])]]), + ); + + const data = [ + { domain: "google.com", name: "Google" }, + { domain: "facebook.com", name: "Facebook" }, + ]; + + const table = await convertToTable(data, undefined, { schema }); + + expect(table.numCols).toBe(3); + expect(table.numRows).toBe(2); + + const descriptionColumn = table.getChild("description"); + expect(descriptionColumn).toBeDefined(); + expect(descriptionColumn?.nullCount).toBe(2); + expect(descriptionColumn?.toArray()).toEqual([null, null]); + + expect(table.getChild("domain")?.toArray()).toEqual([ + "google.com", + "facebook.com", + ]); + expect(table.getChild("name")?.toArray()).toEqual(["Google", "Facebook"]); + }); + + it("will handle completely missing nested struct columns", async function () { + const schema = new Schema( + [ + new Field("id", new Utf8(), true), + new Field("name", new Utf8(), true), new Field( - "s", + "metadata", new Struct([ - new Field("x", new Int32(), true), - new Field("y", new Int32(), true), + new Field("version", new Int32(), true), + new Field("author", new Utf8(), true), + new Field( + "tags", + new List(new Field("item", new Utf8(), true)), + true, + ), ]), true, ), - new Field("d", new Int16(), true), - ]); - - const table = makeArrowTable([{ a: 1n }], { schema }); - expect(table.numCols).toBe(1); - expect(table.numRows).toBe(1); - - const table2 = makeArrowTable([{ a: 1n, d: 2 }], { schema }); - expect(table2.numCols).toBe(2); - - const table3 = makeArrowTable([{ s: { y: 3 } }], { schema }); - expect(table3.numCols).toBe(1); - const expectedSchema = new Schema([ - new Field("s", new Struct([new Field("y", new Int32(), true)]), true), - ]); - expect(table3.schema).toEqual(expectedSchema); - }); - - it("will work even if columns are sparsely provided", async function () { - const sparseRecords = [{ a: 1n }, { b: 2n }, { c: 3n }, { d: 4n }]; - const table = makeArrowTable(sparseRecords); - expect(table.numCols).toBe(4); - expect(table.numRows).toBe(4); - - const schema = new Schema([ - new Field("a", new Int64(), true), - new Field("b", new Int32(), true), - new Field("c", new Int64(), true), - new Field("d", new Int16(), true), - ]); - const table2 = makeArrowTable(sparseRecords, { schema }); - expect(table2.numCols).toBe(4); - expect(table2.numRows).toBe(4); - expect(table2.schema).toEqual(schema); - }); - - it("will handle missing columns in schema alignment when using embeddings", async function () { - const schema = new Schema( - [ - new Field("domain", new Utf8(), true), - new Field("name", new Utf8(), true), - new Field("description", new Utf8(), true), - ], - new Map([["embedding_functions", JSON.stringify([])]]), - ); - - const data = [ - { domain: "google.com", name: "Google" }, - { domain: "facebook.com", name: "Facebook" }, - ]; - - const table = await convertToTable(data, undefined, { schema }); - - expect(table.numCols).toBe(3); - expect(table.numRows).toBe(2); - - const descriptionColumn = table.getChild("description"); - expect(descriptionColumn).toBeDefined(); - expect(descriptionColumn?.nullCount).toBe(2); - expect(descriptionColumn?.toArray()).toEqual([null, null]); - - expect(table.getChild("domain")?.toArray()).toEqual([ - "google.com", - "facebook.com", - ]); - expect(table.getChild("name")?.toArray()).toEqual([ - "Google", - "Facebook", - ]); - }); - - it("will handle completely missing nested struct columns", async function () { - const schema = new Schema( - [ - new Field("id", new Utf8(), true), - new Field("name", new Utf8(), true), - new Field( - "metadata", - new Struct([ - new Field("version", new Int32(), true), - new Field("author", new Utf8(), true), - new Field( - "tags", - new List(new Field("item", new Utf8(), true)), - true, - ), - ]), - true, - ), - ], - new Map([["embedding_functions", JSON.stringify([])]]), - ); - - const data = [ - { id: "doc1", name: "Document 1" }, - { id: "doc2", name: "Document 2" }, - ]; - - const table = await convertToTable(data, undefined, { schema }); - - expect(table.numCols).toBe(3); - expect(table.numRows).toBe(2); - - const buf = await fromTableToBuffer(table); - const retrievedTable = tableFromIPC(buf); - - const rows = []; - for (let i = 0; i < retrievedTable.numRows; i++) { - rows.push(retrievedTable.get(i)); - } - - expect(rows[0].metadata.version).toBe(null); - expect(rows[0].metadata.author).toBe(null); - expect(rows[0].metadata.tags).toBe(null); - expect(rows[0].id).toBe("doc1"); - expect(rows[0].name).toBe("Document 1"); - }); - - it("will handle partially missing nested struct fields", async function () { - const schema = new Schema( - [ - new Field("id", new Utf8(), true), - new Field( - "metadata", - new Struct([ - new Field("version", new Int32(), true), - new Field("author", new Utf8(), true), - new Field("created_at", new Utf8(), true), - ]), - true, - ), - ], - new Map([["embedding_functions", JSON.stringify([])]]), - ); - - const data = [ - { id: "doc1", metadata: { version: 1, author: "Alice" } }, - { id: "doc2", metadata: { version: 2 } }, - ]; - - const table = await convertToTable(data, undefined, { schema }); - - expect(table.numCols).toBe(2); - expect(table.numRows).toBe(2); - - const metadataColumn = table.getChild("metadata"); - expect(metadataColumn).toBeDefined(); - expect(metadataColumn?.type.toString()).toBe( - "Struct<{version:Int32, author:Utf8, created_at:Utf8}>", - ); - }); - - it("will handle multiple levels of nested structures", async function () { - const schema = new Schema( - [ - new Field("id", new Utf8(), true), - new Field( - "config", - new Struct([ - new Field("database", new Utf8(), true), - new Field( - "connection", - new Struct([ - new Field("host", new Utf8(), true), - new Field("port", new Int32(), true), - new Field( - "ssl", - new Struct([ - new Field("enabled", new Bool(), true), - new Field("cert_path", new Utf8(), true), - ]), - true, - ), - ]), - true, - ), - ]), - true, - ), - ], - new Map([["embedding_functions", JSON.stringify([])]]), - ); - - const data = [ - { - id: "config1", - config: { - database: "postgres", - connection: { host: "localhost" }, - }, - }, - { - id: "config2", - config: { database: "mysql" }, - }, - { - id: "config3", - }, - ]; - - const table = await convertToTable(data, undefined, { schema }); - - expect(table.numCols).toBe(2); - expect(table.numRows).toBe(3); - - const configColumn = table.getChild("config"); - expect(configColumn).toBeDefined(); - expect(configColumn?.type.toString()).toBe( - "Struct<{database:Utf8, connection:Struct<{host:Utf8, port:Int32, ssl:Struct<{enabled:Bool, cert_path:Utf8}>}>}>", - ); - }); - - it("will handle missing columns in Arrow table input when using embeddings", async function () { - const incompleteTable = makeArrowTable([ - { domain: "google.com", name: "Google" }, - { domain: "facebook.com", name: "Facebook" }, - ]); - - const schema = new Schema( - [ - new Field("domain", new Utf8(), true), - new Field("name", new Utf8(), true), - new Field("description", new Utf8(), true), - ], - new Map([["embedding_functions", JSON.stringify([])]]), - ); - - const buf = await fromDataToBuffer(incompleteTable, undefined, schema); - - expect(buf.byteLength).toBeGreaterThan(0); - - const retrievedTable = tableFromIPC(buf); - expect(retrievedTable.numCols).toBe(3); - expect(retrievedTable.numRows).toBe(2); - - const descriptionColumn = retrievedTable.getChild("description"); - expect(descriptionColumn).toBeDefined(); - expect(descriptionColumn?.nullCount).toBe(2); - expect(descriptionColumn?.toArray()).toEqual([null, null]); - - expect(retrievedTable.getChild("domain")?.toArray()).toEqual([ - "google.com", - "facebook.com", - ]); - expect(retrievedTable.getChild("name")?.toArray()).toEqual([ - "Google", - "Facebook", - ]); - }); - - it("should correctly retain values in nested struct fields", async function () { - const testData = [ - { - id: "doc1", - vector: [1, 2, 3], - metadata: { - filePath: "/path/to/file1.ts", - startLine: 10, - endLine: 20, - text: "function test() { return true; }", - }, - }, - { - id: "doc2", - vector: [4, 5, 6], - metadata: { - filePath: "/path/to/file2.ts", - startLine: 30, - endLine: 40, - text: "function test2() { return false; }", - }, - }, - ]; - - const table = makeArrowTable(testData); - - const metadataField = table.schema.fields.find( - (f) => f.name === "metadata", - ); - expect(metadataField).toBeDefined(); - // biome-ignore lint/suspicious/noExplicitAny: accessing fields in different Arrow versions - const childNames = metadataField?.type.children.map((c: any) => c.name); - expect(childNames).toEqual([ - "filePath", - "startLine", - "endLine", - "text", - ]); - - const buf = await fromTableToBuffer(table); - const retrievedTable = tableFromIPC(buf); - - const rows = []; - for (let i = 0; i < retrievedTable.numRows; i++) { - rows.push(retrievedTable.get(i)); - } - - const firstRow = rows[0]; - expect(firstRow.id).toBe("doc1"); - expect(firstRow.vector.toJSON()).toEqual([1, 2, 3]); - expect(firstRow.metadata.filePath).toBe("/path/to/file1.ts"); - expect(firstRow.metadata.startLine).toBe(10); - expect(firstRow.metadata.endLine).toBe(20); - expect(firstRow.metadata.text).toBe("function test() { return true; }"); - }); - }); - - class DummyEmbedding extends EmbeddingFunction { - toJSON(): Partial { - return {}; - } - - async computeSourceEmbeddings(data: string[]): Promise { - return data.map(() => [0.0, 0.0]); - } - - ndims(): number { - return 2; - } - - embeddingDataType() { - return new Float16(); - } - } - - class DummyEmbeddingWithNoDimension extends EmbeddingFunction { - toJSON(): Partial { - return {}; - } - - embeddingDataType() { - return new Float16(); - } - - async computeSourceEmbeddings(data: string[]): Promise { - return data.map(() => [0.0, 0.0]); - } - } - const dummyEmbeddingConfig: EmbeddingFunctionConfig = { - sourceColumn: "string", - function: new DummyEmbedding(), - }; - - const dummyEmbeddingConfigWithNoDimension: EmbeddingFunctionConfig = { - sourceColumn: "string", - function: new DummyEmbeddingWithNoDimension(), - }; - - describe("convertToTable", function () { - it("will infer data types correctly", async function () { - await checkTableCreation( - // biome-ignore lint/suspicious/noExplicitAny: - async (records) => await (convertToTable)(records), - true, - ); - }); - - it("will allow a schema to be provided", async function () { - await checkTableCreation( - async (records, _, schema) => - // biome-ignore lint/suspicious/noExplicitAny: - await (convertToTable)(records, undefined, { schema }), - false, - ); - }); - - it("will use the field order of any provided schema", async function () { - await checkTableCreation( - async (_, recordsReversed, schema) => - // biome-ignore lint/suspicious/noExplicitAny: - await (convertToTable)(recordsReversed, undefined, { schema }), - false, - ); - }); - - it("will make an empty table", async function () { - await checkTableCreation( - async (_, __, schema) => - // biome-ignore lint/suspicious/noExplicitAny: - await (convertToTable)([], undefined, { schema }), - false, - ); - }); - - it("will apply embeddings", async function () { - const records = sampleRecords(); - const table = await convertToTable(records, dummyEmbeddingConfig); - expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( - true, - ); - expect( - table.getChild("vector")?.type.children[0].type.toString(), - ).toEqual(new Float16().toString()); - }); - - it("will fail if missing the embedding source column", async function () { - await expect( - convertToTable([{ id: 1 }], dummyEmbeddingConfig), - ).rejects.toThrow("'string' was not present"); - }); - - it("use embeddingDimension if embedding missing from table", async function () { - const schema = new Schema([new Field("string", new Utf8(), false)]); - // Simulate getting an empty Arrow table (minus embedding) from some other source - // In other words, we aren't starting with records - const table = makeEmptyTable(schema); - - // If the embedding specifies the dimension we are fine - await fromTableToBuffer(table, dummyEmbeddingConfig); - - // We can also supply a schema and should be ok - const schemaWithEmbedding = new Schema([ - new Field("string", new Utf8(), false), - new Field( - "vector", - new FixedSizeList(2, new Field("item", new Float16(), false)), - false, - ), - ]); - await fromTableToBuffer( - table, - dummyEmbeddingConfigWithNoDimension, - schemaWithEmbedding, - ); - - // Otherwise we will get an error - await expect( - fromTableToBuffer(table, dummyEmbeddingConfigWithNoDimension), - ).rejects.toThrow("does not specify `embeddingDimension`"); - }); - - it("will apply embeddings to an empty table", async function () { - const schema = new Schema([ - new Field("string", new Utf8(), false), - new Field( - "vector", - new FixedSizeList(2, new Field("item", new Float16(), false)), - false, - ), - ]); - const table = await convertToTable([], dummyEmbeddingConfig, { - schema, - }); - expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( - true, - ); - expect( - table.getChild("vector")?.type.children[0].type.toString(), - ).toEqual(new Float16().toString()); - }); - - it("will complain if embeddings present but schema missing embedding column", async function () { - const schema = new Schema([new Field("string", new Utf8(), false)]); - await expect( - convertToTable([], dummyEmbeddingConfig, { schema }), - ).rejects.toThrow("column vector was missing"); - }); - - it("will skip embedding application if already applied", async function () { - const records = sampleRecords(); - const table = await convertToTable(records, dummyEmbeddingConfig); - - // fromTableToBuffer will try and apply the embeddings again - // but should skip since the column already has non-null values - const result = await fromTableToBuffer(table, dummyEmbeddingConfig); - expect(result.byteLength).toBeGreaterThan(0); - }); - }); - - describe("makeEmptyTable", function () { - it("will make an empty table", async function () { - await checkTableCreation( - // biome-ignore lint/suspicious/noExplicitAny: - async (_, __, schema) => (makeEmptyTable)(schema), - false, - ); - }); - - it("will make an empty table with a Map field", async function () { - const schema = new Schema([ - new Field( - "attributes", - new Map_( - new Field( - "entries", - new Struct([ - new Field("key", new Utf8(), false), - new Field("value", new Int32(), true), - ]), - false, - ), - true, - ), - ), - ]); - - const table = makeEmptyTable(schema); - - expectValidMapField(table.schema.fields[0]); - - const buffer = await fromTableToBuffer(table); - const roundTripped = tableFromIPC(buffer); - - expectValidMapField(roundTripped.schema.fields[0]); - }); - - it("preserves string schema metadata", function () { - const metadata = new Map([["source", "fixture"]]); - const schema = new Schema( - [new Field("value", new Int32(), true)], - metadata, - ); - - expect(makeEmptyTable(schema).schema.metadata.get("source")).toBe( - "fixture", - ); - }); - - it.each([ - ["non-string keys", new Map([[42, "fixture"]])], - ["non-string values", new Map([["source", 42]])], - [ - "non-string keys and values", - new Map([[42, false]]), ], - ])("rejects schema metadata with %s", function (_, metadataLike) { - const metadata = metadataLike as unknown as Map; - const schema = new Schema( - [new Field("value", new Int32(), true)], - metadata, - ); + new Map([["embedding_functions", JSON.stringify([])]]), + ); - expect(() => makeEmptyTable(schema)).toThrow( - "Expected metadata, if present, to be a Map but it had non-string keys or values", - ); - }); + const data = [ + { id: "doc1", name: "Document 1" }, + { id: "doc2", name: "Document 2" }, + ]; + + const table = await convertToTable(data, undefined, { schema }); + + expect(table.numCols).toBe(3); + expect(table.numRows).toBe(2); + + const buf = await fromTableToBuffer(table); + const retrievedTable = tableFromIPC(buf); + + const rows = []; + for (let i = 0; i < retrievedTable.numRows; i++) { + rows.push(retrievedTable.get(i)); + } + + expect(rows[0].metadata.version).toBe(null); + expect(rows[0].metadata.author).toBe(null); + expect(rows[0].metadata.tags).toBe(null); + expect(rows[0].id).toBe("doc1"); + expect(rows[0].name).toBe("Document 1"); }); - describe("when using two versions of arrow", function () { - it("preserves a dictionary shared by multiple fields", async function () { - const values = ["alpha", "beta", "alpha"]; - const dictionaryVector = vectorFromArray(values); - const batch = new ArrowRecordBatch({ - first: dictionaryVector.data[0], - second: dictionaryVector.data[0], - }); - const table = new ArrowTable([batch]); - - const sanitized = sanitizeTable(table); - expect([...sanitized.getChild("first")!]).toEqual(values); - expect([...sanitized.getChild("second")!]).toEqual(values); - const firstType = sanitized.schema.fields[0].type as { - dictionary: unknown; - }; - const secondType = sanitized.schema.fields[1].type as { - dictionary: unknown; - }; - expect(secondType.dictionary).toBe(firstType.dictionary); - expect(sanitized.batches[0].data.children[1].dictionary).toBe( - sanitized.batches[0].data.children[0].dictionary, - ); - - const buf = await fromDataToBuffer(table); - const actual = currentTableFromIPC(buf); - expect([...actual.getChild("first")!]).toEqual(values); - expect([...actual.getChild("second")!]).toEqual(values); - }); - - it("preserves shared dictionary data from another Arrow version", async function () { - const values = ["alpha", "beta", "alpha"]; - const dictionaryVector = vectorFromArray(values); - const firstBatch = new ArrowRecordBatch({ - label: dictionaryVector.slice(0, 2).data[0], - }); - const secondBatch = new ArrowRecordBatch({ - label: dictionaryVector.slice(2).data[0], - }); - const table = new ArrowTable([firstBatch, secondBatch]); - - const sanitized = sanitizeTable(table); - expect([...sanitized.getChild("label")!]).toEqual(values); - - const dictionaries = sanitized.batches.map( - (batch) => batch.data.children[0].dictionary, - ); - expect(dictionaries[0]).toBeInstanceOf(CurrentVector); - expect(dictionaries[1]).toBe(dictionaries[0]); - - const buf = await fromDataToBuffer(table); - const actual = currentTableFromIPC(buf); - expect([...actual.getChild("label")!]).toEqual(values); - }); - - it("preserves shared chunks in growing dictionaries", async function () { - const type = new Dictionary(new Utf8(), new Int32(), 42, false); - const firstDictionary = vectorFromArray(["alpha", "beta"], new Utf8()); - const secondDictionary = firstDictionary.concat( - vectorFromArray(["gamma"], new Utf8()), - ); - const firstData = arrowMakeData({ - type, - data: Int32Array.from([0, 1]), - dictionary: firstDictionary, - }); - const secondData = arrowMakeData({ - type, - data: Int32Array.from([2]), - dictionary: secondDictionary, - }); - const table = new ArrowTable([ - new ArrowRecordBatch({ label: firstData }), - new ArrowRecordBatch({ label: secondData }), - ]); - - const sanitized = sanitizeTable(table); - const expected = ["alpha", "beta", "gamma"]; - expect([...sanitized.getChild("label")!]).toEqual(expected); - const firstLocalDictionary = - sanitized.batches[0].data.children[0].dictionary!; - const secondLocalDictionary = - sanitized.batches[1].data.children[0].dictionary!; - expect(secondLocalDictionary.data[0]).toBe( - firstLocalDictionary.data[0], - ); - - const buf = await fromTableToBuffer(sanitized); - const actual = currentTableFromIPC(buf); - expect([...actual.getChild("label")!]).toEqual(expected); - }); - - it("can serialize list data from another Arrow version", async function () { - const values = [["anime", "action"], [], null]; - const vector = vectorFromArray( - values, - new List(new Field("item", new Utf8(), true)), - ); - const table = new ArrowTable({ tags: vector }); - - const buf = await fromDataToBuffer(table); - const actual = currentTableFromIPC(buf); - const actualTags = actual.getChild("tags"); - - expect(actualTags?.get(0)?.toJSON()).toEqual(values[0]); - expect(actualTags?.get(1)?.toJSON()).toEqual(values[1]); - expect(actualTags?.get(2)).toBeNull(); - }); - - it("can still import data", async function () { - const schema = new arrow15.Schema([ - new arrow15.Field("id", new arrow15.Int32()), - new arrow15.Field( - "vector", - new arrow15.FixedSizeList( - 1024, - new arrow15.Field("item", new arrow15.Float32(), true), - ), + it("will handle partially missing nested struct fields", async function () { + const schema = new Schema( + [ + new Field("id", new Utf8(), true), + new Field( + "metadata", + new Struct([ + new Field("version", new Int32(), true), + new Field("author", new Utf8(), true), + new Field("created_at", new Utf8(), true), + ]), + true, ), - new arrow15.Field( - "struct", - new arrow15.Struct([ - new arrow15.Field( - "nested", - new arrow15.Dictionary( - new arrow15.Utf8(), - new arrow15.Int32(), - 1, - true, - ), - ), - new arrow15.Field( - "ts_with_tz", - new arrow15.TimestampNanosecond("some_tz"), - ), - new arrow15.Field( - "ts_no_tz", - new arrow15.TimestampNanosecond(null), + ], + new Map([["embedding_functions", JSON.stringify([])]]), + ); + + const data = [ + { id: "doc1", metadata: { version: 1, author: "Alice" } }, + { id: "doc2", metadata: { version: 2 } }, + ]; + + const table = await convertToTable(data, undefined, { schema }); + + expect(table.numCols).toBe(2); + expect(table.numRows).toBe(2); + + const metadataColumn = table.getChild("metadata"); + expect(metadataColumn).toBeDefined(); + expect(metadataColumn?.type.toString()).toBe( + "Struct<{version:Int32, author:Utf8, created_at:Utf8}>", + ); + }); + + it("will handle multiple levels of nested structures", async function () { + const schema = new Schema( + [ + new Field("id", new Utf8(), true), + new Field( + "config", + new Struct([ + new Field("database", new Utf8(), true), + new Field( + "connection", + new Struct([ + new Field("host", new Utf8(), true), + new Field("port", new Int32(), true), + new Field( + "ssl", + new Struct([ + new Field("enabled", new Bool(), true), + new Field("cert_path", new Utf8(), true), + ]), + true, + ), + ]), + true, ), ]), + true, ), - // biome-ignore lint/suspicious/noExplicitAny: skip - ]) as any; - schema.metadataVersion = arrow15.MetadataVersion.V5; - const table = makeArrowTable([], { schema }); + ], + new Map([["embedding_functions", JSON.stringify([])]]), + ); - const buf = await fromTableToBuffer(table); - expect(buf.byteLength).toBeGreaterThan(0); - const actual = tableFromIPC(buf); - const actualSchema = actual.schema; - expect(actualSchema.fields.length).toBe(3); + const data = [ + { + id: "config1", + config: { + database: "postgres", + connection: { host: "localhost" }, + }, + }, + { + id: "config2", + config: { database: "mysql" }, + }, + { + id: "config3", + }, + ]; - // Deep equality gets hung up on some very minor unimportant differences - // between arrow version 13 and 15 which isn't really what we're testing for - // and so we do our own comparison that just checks name/type/nullability - function compareFields(lhs: arrow15.Field, rhs: arrow15.Field) { - expect(lhs.name).toEqual(rhs.name); - expect(lhs.nullable).toEqual(rhs.nullable); - expect(lhs.typeId).toEqual(rhs.typeId); - if ("children" in lhs.type && lhs.type.children !== null) { - const lhsChildren = lhs.type.children as arrow15.Field[]; - lhsChildren.forEach((child: arrow15.Field, idx) => { - compareFields(child, rhs.type.children[idx]); - }); - } - } + const table = await convertToTable(data, undefined, { schema }); + + expect(table.numCols).toBe(2); + expect(table.numRows).toBe(3); + + const configColumn = table.getChild("config"); + expect(configColumn).toBeDefined(); + expect(configColumn?.type.toString()).toBe( + "Struct<{database:Utf8, connection:Struct<{host:Utf8, port:Int32, ssl:Struct<{enabled:Bool, cert_path:Utf8}>}>}>", + ); + }); + + it("will handle missing columns in Arrow table input when using embeddings", async function () { + const incompleteTable = makeArrowTable([ + { domain: "google.com", name: "Google" }, + { domain: "facebook.com", name: "Facebook" }, + ]); + + const schema = new Schema( + [ + new Field("domain", new Utf8(), true), + new Field("name", new Utf8(), true), + new Field("description", new Utf8(), true), + ], + new Map([["embedding_functions", JSON.stringify([])]]), + ); + + const buf = await fromDataToBuffer(incompleteTable, undefined, schema); + + expect(buf.byteLength).toBeGreaterThan(0); + + const retrievedTable = tableFromIPC(buf); + expect(retrievedTable.numCols).toBe(3); + expect(retrievedTable.numRows).toBe(2); + + const descriptionColumn = retrievedTable.getChild("description"); + expect(descriptionColumn).toBeDefined(); + expect(descriptionColumn?.nullCount).toBe(2); + expect(descriptionColumn?.toArray()).toEqual([null, null]); + + expect(retrievedTable.getChild("domain")?.toArray()).toEqual([ + "google.com", + "facebook.com", + ]); + expect(retrievedTable.getChild("name")?.toArray()).toEqual([ + "Google", + "Facebook", + ]); + }); + + it("should correctly retain values in nested struct fields", async function () { + const testData = [ + { + id: "doc1", + vector: [1, 2, 3], + metadata: { + filePath: "/path/to/file1.ts", + startLine: 10, + endLine: 20, + text: "function test() { return true; }", + }, + }, + { + id: "doc2", + vector: [4, 5, 6], + metadata: { + filePath: "/path/to/file2.ts", + startLine: 30, + endLine: 40, + text: "function test2() { return false; }", + }, + }, + ]; + + const table = makeArrowTable(testData); + + const metadataField = table.schema.fields.find( + (f) => f.name === "metadata", + ); + expect(metadataField).toBeDefined(); + // biome-ignore lint/suspicious/noExplicitAny: accessing fields in different Arrow versions + const childNames = metadataField?.type.children.map((c: any) => c.name); + expect(childNames).toEqual(["filePath", "startLine", "endLine", "text"]); + + const buf = await fromTableToBuffer(table); + const retrievedTable = tableFromIPC(buf); + + const rows = []; + for (let i = 0; i < retrievedTable.numRows; i++) { + rows.push(retrievedTable.get(i)); + } + + const firstRow = rows[0]; + expect(firstRow.id).toBe("doc1"); + expect(firstRow.vector.toJSON()).toEqual([1, 2, 3]); + expect(firstRow.metadata.filePath).toBe("/path/to/file1.ts"); + expect(firstRow.metadata.startLine).toBe(10); + expect(firstRow.metadata.endLine).toBe(20); + expect(firstRow.metadata.text).toBe("function test() { return true; }"); + }); + }); + + class DummyEmbedding extends EmbeddingFunction { + toJSON(): Partial { + return {}; + } + + async computeSourceEmbeddings(data: string[]): Promise { + return data.map(() => [0.0, 0.0]); + } + + ndims(): number { + return 2; + } + + embeddingDataType() { + return new Float16(); + } + } + + class DummyEmbeddingWithNoDimension extends EmbeddingFunction { + toJSON(): Partial { + return {}; + } + + embeddingDataType() { + return new Float16(); + } + + async computeSourceEmbeddings(data: string[]): Promise { + return data.map(() => [0.0, 0.0]); + } + } + const dummyEmbeddingConfig: EmbeddingFunctionConfig = { + sourceColumn: "string", + function: new DummyEmbedding(), + }; + + const dummyEmbeddingConfigWithNoDimension: EmbeddingFunctionConfig = { + sourceColumn: "string", + function: new DummyEmbeddingWithNoDimension(), + }; + + describe("convertToTable", function () { + it("will infer data types correctly", async function () { + await checkTableCreation( // biome-ignore lint/suspicious/noExplicitAny: - actualSchema.fields.forEach((field: any, idx: string | number) => { - compareFields(field, actualSchema.fields[idx]); - }); - }); + async (records) => await (convertToTable)(records), + true, + ); }); - describe("converting record batches to buffers", function () { - it("can convert to buffered record batch and back again", async function () { - const records = [ - { text: "dog", vector: [0.1, 0.2] }, - { text: "cat", vector: [0.3, 0.4] }, - ]; - const table = await convertToTable(records); - const batch = table.batches[0]; - - const buffer = await fromRecordBatchToBuffer(batch); - const result = await fromBufferToRecordBatch(buffer); - - expect(JSON.stringify(batch.toArray())).toEqual( - JSON.stringify(result?.toArray()), - ); - }); - - it("converting from buffer returns null if buffer has no record batches", async function () { - const result = await fromBufferToRecordBatch(Buffer.from([0x01, 0x02])); // bad data - expect(result).toEqual(null); - }); + it("will allow a schema to be provided", async function () { + await checkTableCreation( + async (records, _, schema) => + // biome-ignore lint/suspicious/noExplicitAny: + await (convertToTable)(records, undefined, { schema }), + false, + ); }); - describe("boolean null handling", function () { - it("should handle null values in nullable boolean fields", () => { - const { makeArrowTable } = require("../lancedb/arrow"); - const schema = new Schema([new Field("test", new arrow.Bool(), true)]); - - // Test with all null values - const data = [{ test: null }]; - const table = makeArrowTable(data, { schema }); - - expect(table.numRows).toBe(1); - expect(table.schema.names).toEqual(["test"]); - expect(table.getChild("test")!.get(0)).toBeNull(); - }); - - it("should handle mixed null and non-null boolean values", () => { - const { makeArrowTable } = require("../lancedb/arrow"); - const schema = new Schema([new Field("test", new Bool(), true)]); - - // Test with mixed values - const data = [{ test: true }, { test: null }, { test: false }]; - const table = makeArrowTable(data, { schema }); - - expect(table.numRows).toBe(3); - expect(table.getChild("test")!.get(0)).toBe(true); - expect(table.getChild("test")!.get(1)).toBeNull(); - expect(table.getChild("test")!.get(2)).toBe(false); - }); + it("will use the field order of any provided schema", async function () { + await checkTableCreation( + async (_, recordsReversed, schema) => + // biome-ignore lint/suspicious/noExplicitAny: + await (convertToTable)(recordsReversed, undefined, { schema }), + false, + ); }); - // Test for the undefined values bug fix - describe("undefined values handling", () => { - it("should handle mixed undefined and actual values", () => { - const schema = new Schema([ - new Field("text", new Utf8(), true), // nullable - new Field("number", new Int32(), true), // nullable - new Field("bool", new Bool(), true), // nullable - ]); + it("will make an empty table", async function () { + await checkTableCreation( + async (_, __, schema) => + // biome-ignore lint/suspicious/noExplicitAny: + await (convertToTable)([], undefined, { schema }), + false, + ); + }); - const data = [ - { text: undefined, number: 42, bool: true }, - { text: "hello", number: undefined, bool: false }, - { text: "world", number: 123, bool: undefined }, - ]; - const table = makeArrowTable(data, { schema }); + it("will apply embeddings", async function () { + const records = sampleRecords(); + const table = await convertToTable(records, dummyEmbeddingConfig); + expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( + true, + ); + expect( + table.getChild("vector")?.type.children[0].type.toString(), + ).toEqual(new Float16().toString()); + }); - const result = table.toArray(); - expect(result).toHaveLength(3); - expect(result[0].text).toBe(null); - expect(result[0].number).toBe(42); - expect(result[0].bool).toBe(true); - expect(result[1].text).toBe("hello"); - expect(result[1].number).toBe(null); - expect(result[1].bool).toBe(false); - expect(result[2].text).toBe("world"); - expect(result[2].number).toBe(123); - expect(result[2].bool).toBe(null); + it("will fail if missing the embedding source column", async function () { + await expect( + convertToTable([{ id: 1 }], dummyEmbeddingConfig), + ).rejects.toThrow("'string' was not present"); + }); + + it("use embeddingDimension if embedding missing from table", async function () { + const schema = new Schema([new Field("string", new Utf8(), false)]); + // Simulate getting an empty Arrow table (minus embedding) from some other source + // In other words, we aren't starting with records + const table = makeEmptyTable(schema); + + // If the embedding specifies the dimension we are fine + await fromTableToBuffer(table, dummyEmbeddingConfig); + + // We can also supply a schema and should be ok + const schemaWithEmbedding = new Schema([ + new Field("string", new Utf8(), false), + new Field( + "vector", + new FixedSizeList(2, new Field("item", new Float16(), false)), + false, + ), + ]); + await fromTableToBuffer( + table, + dummyEmbeddingConfigWithNoDimension, + schemaWithEmbedding, + ); + + // Otherwise we will get an error + await expect( + fromTableToBuffer(table, dummyEmbeddingConfigWithNoDimension), + ).rejects.toThrow("does not specify `embeddingDimension`"); + }); + + it("will apply embeddings to an empty table", async function () { + const schema = new Schema([ + new Field("string", new Utf8(), false), + new Field( + "vector", + new FixedSizeList(2, new Field("item", new Float16(), false)), + false, + ), + ]); + const table = await convertToTable([], dummyEmbeddingConfig, { + schema, + }); + expect(DataType.isFixedSizeList(table.getChild("vector")?.type)).toBe( + true, + ); + expect( + table.getChild("vector")?.type.children[0].type.toString(), + ).toEqual(new Float16().toString()); + }); + + it("will complain if embeddings present but schema missing embedding column", async function () { + const schema = new Schema([new Field("string", new Utf8(), false)]); + await expect( + convertToTable([], dummyEmbeddingConfig, { schema }), + ).rejects.toThrow("column vector was missing"); + }); + + it("will skip embedding application if already applied", async function () { + const records = sampleRecords(); + const table = await convertToTable(records, dummyEmbeddingConfig); + + // fromTableToBuffer will try and apply the embeddings again + // but should skip since the column already has non-null values + const result = await fromTableToBuffer(table, dummyEmbeddingConfig); + expect(result.byteLength).toBeGreaterThan(0); + }); + }); + + describe("makeEmptyTable", function () { + it("will make an empty table", async function () { + await checkTableCreation( + // biome-ignore lint/suspicious/noExplicitAny: + async (_, __, schema) => (makeEmptyTable)(schema), + false, + ); + }); + + it("will make an empty table with a Map field", async function () { + const schema = new Schema([ + new Field( + "attributes", + new Map_( + new Field( + "entries", + new Struct([ + new Field("key", new Utf8(), false), + new Field("value", new Int32(), true), + ]), + false, + ), + true, + ), + ), + ]); + + const table = makeEmptyTable(schema); + + expectValidMapField(table.schema.fields[0]); + + const buffer = await fromTableToBuffer(table); + const roundTripped = tableFromIPC(buffer); + + expectValidMapField(roundTripped.schema.fields[0]); + }); + + it("preserves string schema metadata", function () { + const metadata = new Map([["source", "fixture"]]); + const schema = new Schema( + [new Field("value", new Int32(), true)], + metadata, + ); + + expect(makeEmptyTable(schema).schema.metadata.get("source")).toBe( + "fixture", + ); + }); + + it.each([ + ["non-string keys", new Map([[42, "fixture"]])], + ["non-string values", new Map([["source", 42]])], + ["non-string keys and values", new Map([[42, false]])], + ])("rejects schema metadata with %s", function (_, metadataLike) { + const metadata = metadataLike as unknown as Map; + const schema = new Schema( + [new Field("value", new Int32(), true)], + metadata, + ); + + expect(() => makeEmptyTable(schema)).toThrow( + "Expected metadata, if present, to be a Map but it had non-string keys or values", + ); + }); + }); + + describe("when using two versions of arrow", function () { + it("preserves a dictionary shared by multiple fields", async function () { + const values = ["alpha", "beta", "alpha"]; + const dictionaryVector = vectorFromArray(values); + const batch = new ArrowRecordBatch({ + first: dictionaryVector.data[0], + second: dictionaryVector.data[0], + }); + const table = new ArrowTable([batch]); + + const sanitized = sanitizeTable(table); + expect([...sanitized.getChild("first")!]).toEqual(values); + expect([...sanitized.getChild("second")!]).toEqual(values); + const firstType = sanitized.schema.fields[0].type as { + dictionary: unknown; + }; + const secondType = sanitized.schema.fields[1].type as { + dictionary: unknown; + }; + expect(secondType.dictionary).toBe(firstType.dictionary); + expect(sanitized.batches[0].data.children[1].dictionary).toBe( + sanitized.batches[0].data.children[0].dictionary, + ); + + const buf = await fromDataToBuffer(table); + const actual = currentTableFromIPC(buf); + expect([...actual.getChild("first")!]).toEqual(values); + expect([...actual.getChild("second")!]).toEqual(values); + }); + + it("preserves shared dictionary data from another Arrow version", async function () { + const values = ["alpha", "beta", "alpha"]; + const dictionaryVector = vectorFromArray(values); + const firstBatch = new ArrowRecordBatch({ + label: dictionaryVector.slice(0, 2).data[0], + }); + const secondBatch = new ArrowRecordBatch({ + label: dictionaryVector.slice(2).data[0], + }); + const table = new ArrowTable([firstBatch, secondBatch]); + + const sanitized = sanitizeTable(table); + expect([...sanitized.getChild("label")!]).toEqual(values); + + const dictionaries = sanitized.batches.map( + (batch) => batch.data.children[0].dictionary, + ); + expect(dictionaries[0]).toBeInstanceOf(CurrentVector); + expect(dictionaries[1]).toBe(dictionaries[0]); + + const buf = await fromDataToBuffer(table); + const actual = currentTableFromIPC(buf); + expect([...actual.getChild("label")!]).toEqual(values); + }); + + it("preserves shared chunks in growing dictionaries", async function () { + const type = new Dictionary(new Utf8(), new Int32(), 42, false); + const firstDictionary = vectorFromArray(["alpha", "beta"], new Utf8()); + const secondDictionary = firstDictionary.concat( + vectorFromArray(["gamma"], new Utf8()), + ); + const firstData = arrowMakeData({ + type, + data: Int32Array.from([0, 1]), + dictionary: firstDictionary, + }); + const secondData = arrowMakeData({ + type, + data: Int32Array.from([2]), + dictionary: secondDictionary, + }); + const table = new ArrowTable([ + new ArrowRecordBatch({ label: firstData }), + new ArrowRecordBatch({ label: secondData }), + ]); + + const sanitized = sanitizeTable(table); + const expected = ["alpha", "beta", "gamma"]; + expect([...sanitized.getChild("label")!]).toEqual(expected); + const firstLocalDictionary = + sanitized.batches[0].data.children[0].dictionary!; + const secondLocalDictionary = + sanitized.batches[1].data.children[0].dictionary!; + expect(secondLocalDictionary.data[0]).toBe(firstLocalDictionary.data[0]); + + const buf = await fromTableToBuffer(sanitized); + const actual = currentTableFromIPC(buf); + expect([...actual.getChild("label")!]).toEqual(expected); + }); + + it("can serialize list data from another Arrow version", async function () { + const values = [["anime", "action"], [], null]; + const vector = vectorFromArray( + values, + new List(new Field("item", new Utf8(), true)), + ); + const table = new ArrowTable({ tags: vector }); + + const buf = await fromDataToBuffer(table); + const actual = currentTableFromIPC(buf); + const actualTags = actual.getChild("tags"); + + expect(actualTags?.get(0)?.toJSON()).toEqual(values[0]); + expect(actualTags?.get(1)?.toJSON()).toEqual(values[1]); + expect(actualTags?.get(2)).toBeNull(); + }); + + it("can still import data", async function () { + const schema = new arrow15.Schema([ + new arrow15.Field("id", new arrow15.Int32()), + new arrow15.Field( + "vector", + new arrow15.FixedSizeList( + 1024, + new arrow15.Field("item", new arrow15.Float32(), true), + ), + ), + new arrow15.Field( + "struct", + new arrow15.Struct([ + new arrow15.Field( + "nested", + new arrow15.Dictionary( + new arrow15.Utf8(), + new arrow15.Int32(), + 1, + true, + ), + ), + new arrow15.Field( + "ts_with_tz", + new arrow15.TimestampNanosecond("some_tz"), + ), + new arrow15.Field( + "ts_no_tz", + new arrow15.TimestampNanosecond(null), + ), + ]), + ), + // biome-ignore lint/suspicious/noExplicitAny: skip + ]) as any; + schema.metadataVersion = arrow15.MetadataVersion.V5; + const table = makeArrowTable([], { schema }); + + const buf = await fromTableToBuffer(table); + expect(buf.byteLength).toBeGreaterThan(0); + const actual = tableFromIPC(buf); + const actualSchema = actual.schema; + expect(actualSchema.fields.length).toBe(3); + + // Deep equality gets hung up on some very minor unimportant differences + // between arrow version 13 and 15 which isn't really what we're testing for + // and so we do our own comparison that just checks name/type/nullability + function compareFields(lhs: arrow15.Field, rhs: arrow15.Field) { + expect(lhs.name).toEqual(rhs.name); + expect(lhs.nullable).toEqual(rhs.nullable); + expect(lhs.typeId).toEqual(rhs.typeId); + if ("children" in lhs.type && lhs.type.children !== null) { + const lhsChildren = lhs.type.children as arrow15.Field[]; + lhsChildren.forEach((child: arrow15.Field, idx) => { + compareFields(child, rhs.type.children[idx]); + }); + } + } + // biome-ignore lint/suspicious/noExplicitAny: + actualSchema.fields.forEach((field: any, idx: string | number) => { + compareFields(field, actualSchema.fields[idx]); }); }); - }, -); + }); + + describe("converting record batches to buffers", function () { + it("can convert to buffered record batch and back again", async function () { + const records = [ + { text: "dog", vector: [0.1, 0.2] }, + { text: "cat", vector: [0.3, 0.4] }, + ]; + const table = await convertToTable(records); + const batch = table.batches[0]; + + const buffer = await fromRecordBatchToBuffer(batch); + const result = await fromBufferToRecordBatch(buffer); + + expect(JSON.stringify(batch.toArray())).toEqual( + JSON.stringify(result?.toArray()), + ); + }); + + it("converting from buffer returns null if buffer has no record batches", async function () { + const result = await fromBufferToRecordBatch(Buffer.from([0x01, 0x02])); // bad data + expect(result).toEqual(null); + }); + }); + + describe("boolean null handling", function () { + it("should handle null values in nullable boolean fields", () => { + const { makeArrowTable } = require("../lancedb/arrow"); + const schema = new Schema([new Field("test", new arrow.Bool(), true)]); + + // Test with all null values + const data = [{ test: null }]; + const table = makeArrowTable(data, { schema }); + + expect(table.numRows).toBe(1); + expect(table.schema.names).toEqual(["test"]); + expect(table.getChild("test")!.get(0)).toBeNull(); + }); + + it("should handle mixed null and non-null boolean values", () => { + const { makeArrowTable } = require("../lancedb/arrow"); + const schema = new Schema([new Field("test", new Bool(), true)]); + + // Test with mixed values + const data = [{ test: true }, { test: null }, { test: false }]; + const table = makeArrowTable(data, { schema }); + + expect(table.numRows).toBe(3); + expect(table.getChild("test")!.get(0)).toBe(true); + expect(table.getChild("test")!.get(1)).toBeNull(); + expect(table.getChild("test")!.get(2)).toBe(false); + }); + }); + + // Test for the undefined values bug fix + describe("undefined values handling", () => { + it("should handle mixed undefined and actual values", () => { + const schema = new Schema([ + new Field("text", new Utf8(), true), // nullable + new Field("number", new Int32(), true), // nullable + new Field("bool", new Bool(), true), // nullable + ]); + + const data = [ + { text: undefined, number: 42, bool: true }, + { text: "hello", number: undefined, bool: false }, + { text: "world", number: 123, bool: undefined }, + ]; + const table = makeArrowTable(data, { schema }); + + const result = table.toArray(); + expect(result).toHaveLength(3); + expect(result[0].text).toBe(null); + expect(result[0].number).toBe(42); + expect(result[0].bool).toBe(true); + expect(result[1].text).toBe("hello"); + expect(result[1].number).toBe(null); + expect(result[1].bool).toBe(false); + expect(result[2].text).toBe("world"); + expect(result[2].number).toBe(123); + expect(result[2].bool).toBe(null); + }); + }); +}); diff --git a/nodejs/__test__/arrow_versions.ts b/nodejs/__test__/arrow_versions.ts new file mode 100644 index 000000000..bfbbfa5ef --- /dev/null +++ b/nodejs/__test__/arrow_versions.ts @@ -0,0 +1,39 @@ +// SPDX-License-Identifier: Apache-2.0 +// SPDX-FileCopyrightText: Copyright The LanceDB Authors + +// Every Apache Arrow release the package accepts as a peer dependency, as +// separately installed copies so the tests can feed objects built by one +// Arrow version into a LanceDB running on another. When a new Arrow major +// is released, add the alias to `package.json` and extend this list; the +// test files pick the change up from here. +import * as arrow15 from "apache-arrow-15"; +import * as arrow16 from "apache-arrow-16"; +import * as arrow17 from "apache-arrow-17"; +import * as arrow18 from "apache-arrow-18"; +import * as arrow19 from "apache-arrow-19"; +import * as arrow20 from "apache-arrow-20"; +import * as arrow21 from "apache-arrow-21"; + +export { arrow15, arrow16, arrow17, arrow18, arrow19, arrow20, arrow21 }; + +export type ApacheArrow = + | typeof arrow15 + | typeof arrow16 + | typeof arrow17 + | typeof arrow18 + | typeof arrow19 + | typeof arrow20 + | typeof arrow21; + +export const arrowVersions: ApacheArrow[] = [ + arrow15, + arrow16, + arrow17, + arrow18, + arrow19, + arrow20, + arrow21, +]; + +/** The newest supported Arrow release, for tests that only need one. */ +export const latestArrow = arrow21; diff --git a/nodejs/__test__/registry.test.ts b/nodejs/__test__/registry.test.ts index 973ad8a25..5c92941d6 100644 --- a/nodejs/__test__/registry.test.ts +++ b/nodejs/__test__/registry.test.ts @@ -3,13 +3,10 @@ import * as apiArrow from "apache-arrow"; -import * as arrow15 from "apache-arrow-15"; -import * as arrow16 from "apache-arrow-16"; -import * as arrow17 from "apache-arrow-17"; -import * as arrow18 from "apache-arrow-18"; - import * as tmp from "tmp"; +import { arrowVersions } from "./arrow_versions"; + import { connect } from "../lancedb"; import { EmbeddingFunction, @@ -18,7 +15,7 @@ import { } from "../lancedb/embedding"; import { getRegistry, register } from "../lancedb/embedding/registry"; -describe.each([arrow15, arrow16, arrow17, arrow18])("LanceSchema", (arrow) => { +describe.each(arrowVersions)("LanceSchema", (arrow) => { test("should preserve input order", async () => { const schema = LanceSchema({ id: new arrow.Int32(), @@ -29,7 +26,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])("LanceSchema", (arrow) => { }); }); -describe.each([arrow15, arrow16, arrow17, arrow18])("Registry", (arrow) => { +describe.each(arrowVersions)("Registry", (arrow) => { let tmpDir: tmp.DirResult; beforeEach(() => { tmpDir = tmp.dirSync({ unsafeCleanup: true }); @@ -240,7 +237,7 @@ describe("Registry.setVar", () => { return data.map(() => [1, 2, 3]); } embeddingDataType() { - return new arrow18.Float32() as apiArrow.Float; + return new apiArrow.Float32(); } protected getSensitiveKeys() { return ["secretKey"]; diff --git a/nodejs/__test__/sanitize.test.ts b/nodejs/__test__/sanitize.test.ts index 587805d53..97856a55b 100644 --- a/nodejs/__test__/sanitize.test.ts +++ b/nodejs/__test__/sanitize.test.ts @@ -2,7 +2,13 @@ // SPDX-FileCopyrightText: Copyright The LanceDB Authors import * as arrow from "../lancedb/arrow"; -import { sanitizeField, sanitizeMap, sanitizeType } from "../lancedb/sanitize"; +import { + sanitizeField, + sanitizeMap, + sanitizeSchema, + sanitizeType, +} from "../lancedb/sanitize"; +import { arrow21 } from "./arrow_versions"; describe("sanitize", function () { describe("sanitizeType function", function () { @@ -59,6 +65,8 @@ describe("sanitize", function () { ["durationmicrosecond", new arrow.DurationMicrosecond()], ["durationmillisecond", new arrow.DurationMillisecond()], ["durationsecond", new arrow.DurationSecond()], + ["largebinary", new arrow.LargeBinary()], + ["largeutf8", new arrow.LargeUtf8()], ] as const; it.each(allTypeNameTestCases)( @@ -89,6 +97,110 @@ describe("sanitize", function () { "Unrecognized type name in schema: invalid_type", ); }); + + // These types only exist in Arrow 20 (IntervalMonthDayNano) and 21 (the + // rest), so the objects come from a second copy of the newest release. The + // library itself may be running on an older Arrow (see the CI matrix), in + // which case sanitizing them has to fail with a clear message instead. + const hostArrow = arrow as unknown as Record; + const hostSupportsNewerTypes = typeof hostArrow.Utf8View === "function"; + const whenSupported = hostSupportsNewerTypes ? describe : describe.skip; + const whenUnsupported = hostSupportsNewerTypes ? describe.skip : describe; + + const newerTypeTestCases = [ + ["Utf8View", () => new arrow21.Utf8View()], + ["BinaryView", () => new arrow21.BinaryView()], + ["IntervalMonthDayNano", () => new arrow21.IntervalMonthDayNano()], + [ + "LargeList", + () => + new arrow21.LargeList(new arrow21.Field("item", new arrow21.Utf8())), + ], + ] as const; + + whenSupported("types added in Arrow 20 and 21", function () { + it.each(newerTypeTestCases)( + "should sanitize a %s type from another copy of Arrow", + function (name, makeForeign) { + const foreign = makeForeign(); + const result = sanitizeType(foreign); + // Interval subclasses share `Type.Interval`, so the sanitized type + // is the generic `Interval` carrying the same unit, as for the + // other units. + const expected = name === "IntervalMonthDayNano" ? "Interval" : name; + expect(result).toBeInstanceOf(hostArrow[expected] as () => unknown); + expect(result.typeId).toBe(foreign.typeId); + expect(result.toString()).toBe(foreign.toString()); + }, + ); + + it.each([ + ["binaryview", "BinaryView"], + ["utf8view", "Utf8View"], + ["intervalmonthdaynano", "Interval"], + ])('should map type name "%s" to %s', function (name, expected) { + expect(sanitizeType(name)).toBeInstanceOf( + hostArrow[expected] as () => unknown, + ); + }); + + it("should sanitize the child field of a LargeList", function () { + const foreign = new arrow21.LargeList( + new arrow21.Field("item", new arrow21.Int32(), false), + ); + const result = sanitizeType(foreign) as arrow.List; + expect(result.children[0]).toBeInstanceOf(arrow.Field); + expect(result.children[0].name).toBe("item"); + expect(result.children[0].nullable).toBe(false); + const child = result.children[0].type; + expect(arrow.DataType.isInt(child)).toBe(true); + expect((child as arrow.Int).bitWidth).toBe(32); + expect((child as arrow.Int).isSigned).toBe(true); + }); + }); + + whenUnsupported("types newer than the installed Arrow", function () { + it.each( + newerTypeTestCases.filter(([name]) => name !== "IntervalMonthDayNano"), + )( + "should explain that %s needs a newer apache-arrow", + function (name, makeForeign) { + expect(() => sanitizeType(makeForeign())).toThrow( + `The Arrow type ${name} requires apache-arrow`, + ); + }, + ); + + it("should sanitize IntervalMonthDayNano to a generic Interval", () => { + // The subclass shares `Type.Interval`, which every supported Arrow + // release has; only the unit is new. + const result = sanitizeType(new arrow21.IntervalMonthDayNano()); + expect(result).toBeInstanceOf(arrow.Interval); + expect((result as arrow.Interval).unit).toBe( + arrow21.IntervalUnit.MONTH_DAY_NANO, + ); + }); + }); + + it("should rebuild a schema from a second copy of the same Arrow version", function () { + // Arrow 21 makes `instanceof Schema` succeed across copies of the library + // but not `instanceof `; the schema must still be rebuilt. + const foreign = new arrow21.Schema([ + new arrow21.Field("x", new arrow21.Float32(), true), + ]); + // Only Arrow 21+ overrides `Symbol.hasInstance` this way. + const crossCopyInstanceof = Object.getOwnPropertySymbols( + arrow.Schema, + ).includes(Symbol.hasInstance); + expect(foreign instanceof arrow.Schema).toBe(crossCopyInstanceof); + const result = sanitizeSchema(foreign); + expect(result).not.toBe(foreign); + const type = result.fields[0].type; + expect(type).toBeInstanceOf(arrow.DataType); + expect(arrow.DataType.isFloat(type)).toBe(true); + expect((type as arrow.Float).precision).toBe(arrow.Precision.SINGLE); + expect(() => arrow.makeBuilder({ type })).not.toThrow(); + }); }); describe("sanitizeField function", function () { diff --git a/nodejs/__test__/table.test.ts b/nodejs/__test__/table.test.ts index 904c282d4..eaf59211c 100644 --- a/nodejs/__test__/table.test.ts +++ b/nodejs/__test__/table.test.ts @@ -7,11 +7,6 @@ import { pathToFileURL } from "node:url"; import * as path from "path"; import * as tmp from "tmp"; -import * as arrow15 from "apache-arrow-15"; -import * as arrow16 from "apache-arrow-16"; -import * as arrow17 from "apache-arrow-17"; -import * as arrow18 from "apache-arrow-18"; - import { AutoQuery, Connection, @@ -56,19 +51,21 @@ import { instanceOfFullTextQuery, } from "../lancedb/query"; import { LocalTable } from "../lancedb/table"; +import { + type ApacheArrow, + arrow18, + arrowVersions, + latestArrow, +} from "./arrow_versions"; -describe.each([arrow15, arrow16, arrow17, arrow18])( +describe.each(arrowVersions)( "Given a table", // biome-ignore lint/suspicious/noExplicitAny: (arrow: any) => { let tmpDir: tmp.DirResult; let table: Table; - const schema: - | import("apache-arrow-15").Schema - | import("apache-arrow-16").Schema - | import("apache-arrow-17").Schema - | import("apache-arrow-18").Schema = new arrow.Schema([ + const schema: InstanceType = new arrow.Schema([ new arrow.Field("id", new arrow.Float64(), true), ]); @@ -742,6 +739,114 @@ describe.each([arrow15, arrow16, arrow17, arrow18])( ); // https://github.com/lancedb/lancedb/issues/1963 +// These types were added in Arrow 21, so they are built with a second copy of +// that release rather than the per-version matrix above, and reading them back +// needs the library's own Arrow to know them too. +const hostArrowSupportsViewTypes = + typeof (arrow as unknown as Record).Utf8View === "function"; +(hostArrowSupportsViewTypes ? it : it.skip)( + "creates and adds tables with LargeList, Utf8View and BinaryView columns", + async () => { + const tmpDir = tmp.dirSync({ unsafeCleanup: true }); + const db = await connect(tmpDir.name); + const makeData = () => + new latestArrow.Table({ + id: latestArrow.vectorFromArray([1, 2], new latestArrow.Int32()), + tags: latestArrow.vectorFromArray( + [["a", "b"], ["c"]], + new latestArrow.LargeList( + new latestArrow.Field("item", new latestArrow.Utf8(), true), + ), + ), + text: latestArrow.vectorFromArray( + ["short", "a string that is longer than the twelve inline bytes"], + new latestArrow.Utf8View(), + ), + bytes: latestArrow.vectorFromArray( + [new Uint8Array([1, 2, 3]), new Uint8Array(20).fill(7)], + new latestArrow.BinaryView(), + ), + }); + const table = await db.createTable("views", makeData()); + await table.add(makeData()); + + const schema = await table.schema(); + // Take the enum from the Arrow 21 copy: the host Arrow may predate + // `Type.LargeList`, and this file still has to type-check there. + expect(schema.fields.map((f) => f.type.typeId)).toEqual([ + latestArrow.Type.Int, + latestArrow.Type.LargeList, + // Lance stores the view types as their offset-based equivalents. + latestArrow.Type.Utf8, + latestArrow.Type.Binary, + ]); + const rows = await table.query().toArrow(); + expect(rows.numRows).toBe(4); + const row = rows.get(1)!.toJSON(); + expect(row.id).toBe(2); + expect(row.tags.toJSON()).toEqual(["c"]); + expect(row.text).toBe( + "a string that is longer than the twelve inline bytes", + ); + expect(Array.from(row.bytes)).toEqual(Array(20).fill(7)); + + // Arrow JS 21 serializes a *sliced* view column with a truncated views + // buffer; the library rebuilds view columns as Utf8/Binary so this works. + const sliced = makeData().slice(1, 2); + expect(sliced.getChild("text")!.data[0].offset).toBe(1); + const slicedTable = await db.createTable("views_sliced", sliced); + await slicedTable.add(sliced); + const slicedRows = await slicedTable.query().toArrow(); + expect(slicedRows.numRows).toBe(2); + for (const i of [0, 1]) { + const r = slicedRows.get(i)!.toJSON(); + expect(r.id).toBe(2); + expect(r.text).toBe( + "a string that is longer than the twelve inline bytes", + ); + expect(Array.from(r.bytes)).toEqual(Array(20).fill(7)); + } + + // Regression: a field with an integer-like name. JavaScript enumerates + // such keys first, so a key-ordered rebuild would pair "1" with the text + // column's values. The batches are built explicitly to pin field order. + const numericSchema = new latestArrow.Schema([ + new latestArrow.Field("text", new latestArrow.Utf8View(), true), + new latestArrow.Field("1", new latestArrow.Utf8View(), true), + new latestArrow.Field("n", new latestArrow.Int32(), true), + ]); + const column = ( + values: unknown[], + type: InstanceType, + ) => latestArrow.vectorFromArray(values, type).data[0]; + const numericBatch = new latestArrow.RecordBatch( + numericSchema, + latestArrow.makeData({ + type: new latestArrow.Struct(numericSchema.fields), + length: 3, + nullCount: 0, + children: [ + column(["t0", "t1", "t2"], new latestArrow.Utf8View()), + column(["one0", "one1", "one2"], new latestArrow.Utf8View()), + column([0, 1, 2], new latestArrow.Int32()), + ], + }), + ); + const numericData = new latestArrow.Table(numericSchema, [numericBatch]); + const numericTable = await db.createTable("views_numeric", numericData); + await numericTable.add(numericData.slice(1)); + const numericRows = (await numericTable.query().toArrow()).toArray(); + expect(numericRows.map((r) => r.toJSON())).toEqual([ + { text: "t0", "1": "one0", n: 0 }, + { text: "t1", "1": "one1", n: 1 }, + { text: "t2", "1": "one2", n: 2 }, + { text: "t1", "1": "one1", n: 1 }, + { text: "t2", "1": "one2", n: 2 }, + ]); + tmpDir.removeCallback(); + }, +); + it("should query documents with LangChain PDF metadata", async () => { const tmpDir = tmp.dirSync({ unsafeCleanup: true }); try { @@ -3203,7 +3308,7 @@ it("passes cleanupOlderThan to the native binding as an absolute timestamp", asy expect(optimize).toHaveBeenCalledWith(cutoff.getTime(), true); }); -describe.each([arrow15, arrow16, arrow17, arrow18])( +describe.each(arrowVersions)( "when optimizing a dataset", // biome-ignore lint/suspicious/noExplicitAny: (arrow: any) => { diff --git a/nodejs/lancedb/arrow.ts b/nodejs/lancedb/arrow.ts index df875a808..3daee7d65 100644 --- a/nodejs/lancedb/arrow.ts +++ b/nodejs/lancedb/arrow.ts @@ -66,11 +66,20 @@ export type SchemaLike = export type FieldLike = | Field | { - type: string; + type: string | DataTypeLike; name: string; nullable: boolean; metadata?: Map; }; +/** + * A `DataType` from any copy or version of apache-arrow. + * + * Arrow 21 brands its classes with `unique symbol` properties, so a type + * object from a second copy of the library no longer satisfies the `DataType` + * type of this one even though it is structurally identical. Inputs that only + * need to be sanitized accept this looser shape instead. + */ +export type DataTypeLike = DataType | { readonly typeId: number }; /** * Create an Arrow field backed by LanceDB's JSON extension type. @@ -1059,6 +1068,71 @@ export async function fromRecordsToStreamBuffer( return Buffer.from(await writer.toUint8Array()); } +// `Type.Utf8View` / `Type.BinaryView` as numbers: the enum members only exist +// in Arrow 21+, and this module compiles against every supported release. +const UTF8_VIEW_TYPE_ID = 24; +const BINARY_VIEW_TYPE_ID = 23; + +/** + * Copy a Utf8View / BinaryView `Data` into a single `Data` of `type`. + */ +function materializeViewData(child: ArrowData, type: DataType): ArrowData { + const builder = makeBuilder({ type, nullValues: [null] }); + for (const value of new Vector([child])) { + builder.append(value); + } + return builder.finish().flush(); +} + +/** + * Rebuild any top-level Utf8View / BinaryView column as Utf8 / Binary. + * + * Lance stores the view types as their offset-based equivalents anyway, so + * nothing is lost. Doing it here also sidesteps an Arrow JS 21 bug: its IPC + * writer emits a truncated views buffer for a *sliced* view array, which the + * Rust reader rejects with "Need at least N bytes in buffers[0]". + * + * The record batches are rebuilt positionally rather than through a + * `Record`: JavaScript enumerates integer-like keys first, so + * a field named e.g. `"1"` would otherwise be paired with the wrong column. + * + * Tables without view columns are returned as-is. + */ +function materializeViewColumns(table: ArrowTable): ArrowTable { + const replacements = new Map(); + table.schema.fields.forEach((field, i) => { + if (field.type.typeId === UTF8_VIEW_TYPE_ID) { + replacements.set(i, new Utf8()); + } else if (field.type.typeId === BINARY_VIEW_TYPE_ID) { + replacements.set(i, new Binary()); + } + }); + if (replacements.size === 0) { + return table; + } + const fields = table.schema.fields.map((field, i) => { + const type = replacements.get(i); + return type === undefined + ? field + : new Field(field.name, type, field.nullable, field.metadata); + }); + const schema = new Schema(fields, table.schema.metadata); + const batches = table.batches.map((batch) => { + const children = batch.data.children.map((child, i) => { + const type = replacements.get(i); + return type === undefined ? child : materializeViewData(child, type); + }); + const data = makeData({ + type: new Struct(fields), + length: batch.numRows, + nullCount: 0, + children, + }); + return new RecordBatch(schema, data); + }); + return new ArrowTable(schema, batches); +} + /** * Serialize an Arrow Table into a buffer using the Arrow IPC File serialization * @@ -1075,7 +1149,9 @@ export async function fromTableToBuffer( if (schema !== undefined && schema !== null) { schema = sanitizeSchema(schema); } - const tableWithEmbeddings = await applyEmbeddings(table, embeddings, schema); + const tableWithEmbeddings = materializeViewColumns( + await applyEmbeddings(table, embeddings, schema), + ); validateBlobSchema(tableWithEmbeddings.schema); const writer = RecordBatchFileWriter.writeAll(tableWithEmbeddings); return Buffer.from(await writer.toUint8Array()); @@ -1146,7 +1222,8 @@ export async function fromRecordBatchToBuffer( export async function fromRecordBatchToStreamBuffer( batch: RecordBatch, ): Promise { - const writer = RecordBatchStreamWriter.writeAll([batch]); + const table = materializeViewColumns(new ArrowTable([batch])); + const writer = RecordBatchStreamWriter.writeAll(table); return Buffer.from(await writer.toUint8Array()); } @@ -1163,7 +1240,9 @@ export async function fromTableToStreamBuffer( embeddings?: EmbeddingFunctionConfig, schema?: SchemaLike, ): Promise { - const tableWithEmbeddings = await applyEmbeddings(table, embeddings, schema); + const tableWithEmbeddings = materializeViewColumns( + await applyEmbeddings(table, embeddings, schema), + ); const writer = RecordBatchStreamWriter.writeAll(tableWithEmbeddings); return Buffer.from(await writer.toUint8Array()); } diff --git a/nodejs/lancedb/index.ts b/nodejs/lancedb/index.ts index a1776e3f4..9d4e5608b 100644 --- a/nodejs/lancedb/index.ts +++ b/nodejs/lancedb/index.ts @@ -195,6 +195,7 @@ export * as rerankers from "./rerankers"; export { SchemaLike, TableLike, + DataTypeLike, FieldLike, RecordBatchLike, DataLike, diff --git a/nodejs/lancedb/sanitize.ts b/nodejs/lancedb/sanitize.ts index 98a144451..6ba4cc881 100644 --- a/nodejs/lancedb/sanitize.ts +++ b/nodejs/lancedb/sanitize.ts @@ -9,6 +9,7 @@ // comes from the exact same library instance. This is not always the case // and so we must sanitize the input to ensure that it is compatible. +import * as arrowModule from "apache-arrow"; import { BufferType, Data, Vector } from "apache-arrow"; import type { IntBitWidth, TKeys, TimeBitWidth } from "apache-arrow/type"; import { @@ -76,6 +77,66 @@ import { Utf8, } from "./arrow"; +/** + * Whether `value` was created by *this* copy of apache-arrow's `ctor`. + * + * Arrow 21 overrides `Symbol.hasInstance` on `Schema`, `Field`, `Table`, + * `RecordBatch`, `Vector` and `Data` so that `instanceof` also matches objects + * built by a different copy of the library. Those are exactly the objects + * this module has to rebuild: the `DataType` instances nested inside them are + * deliberately *not* given that treatment upstream, so Arrow's own builders and + * writers reject them. Walk the real prototype chain instead of trusting + * `instanceof`. + */ +function isOwnInstance( + value: unknown, + // biome-ignore lint/suspicious/noExplicitAny: matches any class constructor + ctor: abstract new (...args: any[]) => T, +): value is T { + return ( + typeof value === "object" && + value !== null && + Object.prototype.isPrototypeOf.call(ctor.prototype, value) + ); +} + +/** + * Types added to Arrow JS after release 18, keyed by the `Type` enum value + * they use. The library compiles and runs against every Arrow release in the + * peer range, so these are looked up by name at runtime instead of imported: + * an older Arrow simply does not have the class. + */ +type NewerTypeName = + | "IntervalMonthDayNano" + | "LargeList" + | "BinaryView" + | "Utf8View"; +const NEWER_TYPES: ReadonlyArray<{ + name: NewerTypeName; + typeId: number; + since: number; +}> = [ + { name: "IntervalMonthDayNano", typeId: -31, since: 20 }, + { name: "LargeList", typeId: 21, since: 21 }, + { name: "BinaryView", typeId: 23, since: 21 }, + { name: "Utf8View", typeId: 24, since: 21 }, +]; + +// biome-ignore lint/suspicious/noExplicitAny: constructor arity varies by type +type DataTypeConstructor = new (...args: any[]) => DataType; + +function newerTypeConstructor(name: NewerTypeName): DataTypeConstructor { + const ctor = (arrowModule as unknown as Record)[name]; + if (typeof ctor !== "function") { + const since = NEWER_TYPES.find((t) => t.name === name)?.since; + throw new Error( + `The Arrow type ${name} requires apache-arrow ${since} or newer, ` + + "but the installed apache-arrow does not provide it", + ); + } + return ctor as DataTypeConstructor; +} + type SanitizationContext = { types: WeakMap; vectors: WeakMap; @@ -212,19 +273,37 @@ export function sanitizeList(typeLike: object) { return sanitizeListWithContext(typeLike, createSanitizationContext()); } +function sanitizeListChildWithContext( + typeLike: object, + context: SanitizationContext, + typeName: string, +): Field { + if (!("children" in typeLike) || !Array.isArray(typeLike.children)) { + throw Error( + `Expected a ${typeName} type to have an array-like \`children\` property`, + ); + } + if (typeLike.children.length !== 1) { + throw Error(`Expected a ${typeName} type to have exactly one child`); + } + return sanitizeFieldWithContext(typeLike.children[0], context); +} + function sanitizeListWithContext( typeLike: object, context: SanitizationContext, ) { - if (!("children" in typeLike) || !Array.isArray(typeLike.children)) { - throw Error( - "Expected a List type to have an array-like `children` property", - ); - } - if (typeLike.children.length !== 1) { - throw Error("Expected a List type to have exactly one child"); - } - return new List(sanitizeFieldWithContext(typeLike.children[0], context)); + return new List(sanitizeListChildWithContext(typeLike, context, "List")); +} + +function sanitizeLargeListWithContext( + typeLike: object, + context: SanitizationContext, +) { + const LargeList = newerTypeConstructor("LargeList"); + return new LargeList( + sanitizeListChildWithContext(typeLike, context, "LargeList"), + ); } export function sanitizeStruct(typeLike: object) { @@ -451,11 +530,30 @@ function sanitizeTypeWithContext( return type; } +function sanitizeNewerTypeById( + typeLike: object, + typeId: number, + context: SanitizationContext, +): DataType | undefined { + const entry = NEWER_TYPES.find((t) => t.typeId === typeId); + if (entry === undefined) { + return undefined; + } + if (entry.name === "LargeList") { + return sanitizeLargeListWithContext(typeLike, context); + } + return new (newerTypeConstructor(entry.name))(); +} + function sanitizeTypeById( typeLike: object, typeId: Type, context: SanitizationContext, ): DataType { + const newer = sanitizeNewerTypeById(typeLike, typeId, context); + if (newer !== undefined) { + return newer; + } switch (typeId) { case Type.NONE: throw Error("Received a Type with a typeId of NONE"); @@ -572,7 +670,7 @@ function sanitizeFieldWithContext( fieldLike: unknown, context: SanitizationContext, ): Field { - if (fieldLike instanceof Field) { + if (isOwnInstance(fieldLike, Field)) { return fieldLike; } if (typeof fieldLike !== "object" || fieldLike === null) { @@ -626,7 +724,7 @@ function sanitizeSchemaWithContext( schemaLike: SchemaLike, context: SanitizationContext, ): Schema { - if (schemaLike instanceof Schema) { + if (isOwnInstance(schemaLike, Schema)) { return schemaLike; } if (typeof schemaLike !== "object" || schemaLike === null) { @@ -653,7 +751,7 @@ function sanitizeSchemaWithContext( } export function sanitizeTable(tableLike: TableLike): Table { - if (tableLike instanceof Table) { + if (isOwnInstance(tableLike, Table)) { return tableLike; } if (typeof tableLike !== "object" || tableLike === null) { @@ -681,7 +779,7 @@ function sanitizeRecordBatch( batchLike: RecordBatchLike, context: SanitizationContext, ): RecordBatch { - if (batchLike instanceof RecordBatch) { + if (isOwnInstance(batchLike, RecordBatch)) { return batchLike; } if (typeof batchLike !== "object" || batchLike === null) { @@ -710,11 +808,17 @@ type DictionaryDataLike = DataLike & { dictionary?: DictionaryVectorLike; }; +// Arrow 21 added `variadicBuffers` to `Data` for the Utf8View / BinaryView +// types. Older Arrow versions do not have the property, so it is optional. +type VariadicDataLike = DataLike & { + variadicBuffers?: ReadonlyArray; +}; + function sanitizeData( dataLike: DataLike, context: SanitizationContext, ): Data { - if (dataLike instanceof Data) { + if (isOwnInstance(dataLike, Data)) { return dataLike; } const cachedData = context.data.get(dataLike); @@ -732,7 +836,12 @@ function sanitizeData( context.vectors.set(dictionaryLike, dictionary); } } - const data = new Data( + // Arrow 21 added an eighth constructor parameter (`variadicBuffers`); older + // releases ignore the extra argument but their typings do not declare it. + const DataCtor = Data as unknown as new ( + ...args: unknown[] + ) => Data; + const data = new DataCtor( sanitizeTypeWithContext(dataLike.type, context), dataLike.offset, dataLike.length, @@ -745,6 +854,7 @@ function sanitizeData( }, dataLike.children.map((child) => sanitizeData(child, context)), dictionary, + (dataLike as VariadicDataLike).variadicBuffers, ); context.data.set(dataLike, data); return data; @@ -753,7 +863,11 @@ function sanitizeData( const constructorsByTypeName = { null: () => new Null(), binary: () => new Binary(), + largebinary: () => new LargeBinary(), + binaryview: () => new (newerTypeConstructor("BinaryView"))(), utf8: () => new Utf8(), + largeutf8: () => new LargeUtf8(), + utf8view: () => new (newerTypeConstructor("Utf8View"))(), bool: () => new Bool(), int8: () => new Int8(), int16: () => new Int16(), @@ -774,6 +888,8 @@ const constructorsByTypeName = { timesecond: () => new TimeSecond(), intervaldaytime: () => new IntervalDayTime(), intervalyearmonth: () => new IntervalYearMonth(), + intervalmonthdaynano: () => + new (newerTypeConstructor("IntervalMonthDayNano"))(), durationnanosecond: () => new DurationNanosecond(), durationmicrosecond: () => new DurationMicrosecond(), durationmillisecond: () => new DurationMillisecond(), diff --git a/nodejs/package.json b/nodejs/package.json index 29bbe4314..da5dc77b2 100644 --- a/nodejs/package.json +++ b/nodejs/package.json @@ -49,10 +49,14 @@ "@types/jest": "^29.1.2", "@types/node": "22.7.4", "@types/tmp": "^0.2.6", + "apache-arrow": "21.2.0", "apache-arrow-15": "npm:apache-arrow@15.0.0", "apache-arrow-16": "npm:apache-arrow@16.0.0", "apache-arrow-17": "npm:apache-arrow@17.0.0", "apache-arrow-18": "npm:apache-arrow@18.0.0", + "apache-arrow-19": "npm:apache-arrow@19.0.1", + "apache-arrow-20": "npm:apache-arrow@20.0.0", + "apache-arrow-21": "npm:apache-arrow@21.2.0", "eslint": "^8.57.0", "jest": "^29.7.0", "shx": "^0.3.4", @@ -102,7 +106,7 @@ }, "peerDependencies": { "@types/node": ">=22", - "apache-arrow": ">=15.0.0 <=18.1.0" + "apache-arrow": ">=15.0.0 <22.0.0" }, "peerDependenciesMeta": { "@types/node": { diff --git a/nodejs/pnpm-lock.yaml b/nodejs/pnpm-lock.yaml index a03838999..4c19305c8 100644 --- a/nodejs/pnpm-lock.yaml +++ b/nodejs/pnpm-lock.yaml @@ -14,9 +14,6 @@ importers: '@opentelemetry/api': specifier: ^1.9.0 version: 1.9.1 - apache-arrow: - specifier: '>=15.0.0 <=18.1.0' - version: 18.1.0 reflect-metadata: specifier: ^0.2.2 version: 0.2.2 @@ -54,6 +51,9 @@ importers: '@types/tmp': specifier: ^0.2.6 version: 0.2.6 + apache-arrow: + specifier: 21.2.0 + version: 21.2.0 apache-arrow-15: specifier: npm:apache-arrow@15.0.0 version: apache-arrow@15.0.0 @@ -66,6 +66,15 @@ importers: apache-arrow-18: specifier: npm:apache-arrow@18.0.0 version: apache-arrow@18.0.0 + apache-arrow-19: + specifier: npm:apache-arrow@19.0.1 + version: apache-arrow@19.0.1 + apache-arrow-20: + specifier: npm:apache-arrow@20.0.0 + version: apache-arrow@20.0.0 + apache-arrow-21: + specifier: npm:apache-arrow@21.2.0 + version: apache-arrow@21.2.0 eslint: specifier: ^8.57.0 version: 8.57.1 @@ -1703,6 +1712,9 @@ packages: '@types/node@22.7.4': resolution: {integrity: sha512-y+NPi1rFzDs1NdQHHToqeiX2TIS79SWEAw9GYhkkx8bD0ChpfqC+n2j5OXOCpzfojBEBt6DnEnnG9MY0zk1XLg==} + '@types/node@25.9.8': + resolution: {integrity: sha512-VfMrScDmMhUJQmd5hArdQnFvK0OIeD36uN2Va1FcpYaLB/BgkgM8Ulc50XtYISPMz7APJ30+N0T5EM0jlcdfRw==} + '@types/stack-utils@2.0.3': resolution: {integrity: sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==} @@ -1840,8 +1852,16 @@ packages: resolution: {integrity: sha512-gFlPaqN9osetbB83zC29AbbZqGiCuFH1vyyPseJ+B7SIbfBtESV62mMT/CkiIt77W6ykC/nTWFzTXFs0Uldg4g==} hasBin: true - apache-arrow@18.1.0: - resolution: {integrity: sha512-v/ShMp57iBnBp4lDgV8Jx3d3Q5/Hac25FWmQ98eMahUiHPXcvwIMKJD0hBIgclm/FCG+LwPkAKtkRO1O/W0YGg==} + apache-arrow@19.0.1: + resolution: {integrity: sha512-APmMLzS4qbTivLrPdQXexGM4JRr+0g62QDaobzEvip/FdQIrv2qLy0mD5Qdmw4buydtVJgbFeKR8f59I6PPGDg==} + hasBin: true + + apache-arrow@20.0.0: + resolution: {integrity: sha512-JUeK0jFRUd7rbmrhhzR3O2KXjLaZ4YYYFOptyUfxOsMIoZCPi6bZR58gVi/xi3HTBMPseXm9PXyQ2V916930pA==} + hasBin: true + + apache-arrow@21.2.0: + resolution: {integrity: sha512-Hxe6Agq26gQOM954qpzYSllJBPJl+e16U5CkfuMUhLrNba+5nKkttIVlflaovN6oaTratqMGAO8H5u/aNhmHWQ==} hasBin: true argparse@1.0.10: @@ -2033,6 +2053,15 @@ packages: resolution: {integrity: sha512-H4UfQhZyakIjC74I9d34fGYDwk3XpSr17QhEd0Q3I9Xq1CETHo4Hcuo87WyWHpAF1aSLjLRf5lD9ZGX2qStUvg==} engines: {node: '>=4.0.0'} + command-line-args@6.0.2: + resolution: {integrity: sha512-AIjYVxrV9X752LmPDLbVYv8aMCuHPSLZJXEo2qo/xJfv+NYhaZ4sMSF01rM+gHPaMgvPM0l5D/F+Qx+i2WfSmQ==} + engines: {node: '>=12.20'} + peerDependencies: + '@75lb/nature': latest + peerDependenciesMeta: + '@75lb/nature': + optional: true + command-line-usage@7.0.4: resolution: {integrity: sha512-85UdvzTNx/+s5CkSgBm/0hzP80RFHAa7PsfeADE5ezZF3uHz3/Tqj9gIKGT9PTtpycc3Ua64T0oVulGfKxzfqg==} engines: {node: '>=12.20.0'} @@ -2281,6 +2310,15 @@ packages: resolution: {integrity: sha512-6Tb2myMioCAgv5kfvP5/PkZZ/ntTpVK39fHY7WkWBgvbeE+VHd/tZuZ4mrC+bxh4cfOZeYKVPaJIZtZXV7GNCQ==} engines: {node: '>=4.0.0'} + find-replace@5.0.2: + resolution: {integrity: sha512-Y45BAiE3mz2QsrN2fb5QEtO4qb44NcS7en/0y9PEVsg351HsLeVclP8QPMH79Le9sH3rs5RSwJu99W0WPZO43Q==} + engines: {node: '>=14'} + peerDependencies: + '@75lb/nature': latest + peerDependenciesMeta: + '@75lb/nature': + optional: true + find-up@4.1.0: resolution: {integrity: sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==} engines: {node: '>=8'} @@ -2302,6 +2340,9 @@ packages: flatbuffers@24.12.23: resolution: {integrity: sha512-dLVCAISd5mhls514keQzmEG6QHmUUsNuWsb4tFafIUwvvgDjXhtfAYSKOzt5SWOy+qByV5pbsDZ+Vb7HUOBEdA==} + flatbuffers@25.9.23: + resolution: {integrity: sha512-MI1qs7Lo4Syw0EOzUl0xjs2lsoeqFku44KpngfIduHBYvzm8h2+7K8YMQh1JtVVVrUvhLpNwqVi4DERegUJhPQ==} + flatted@3.4.2: resolution: {integrity: sha512-PjDse7RzhcPkIJwy5t7KPWQSZ9cAbzQXcafsetQoD7sOJRQlGikNbx7yZp2OotDnJyrDcbyRq3Ttb18iYOqkxA==} @@ -3345,6 +3386,9 @@ packages: undici-types@6.21.0: resolution: {integrity: sha512-iwDZqg0QAGrg9Rav5H4n0M64c3mkR59cJ6wQp+7C4nI0gsmExaedaYLNO44eT4AtBBwjbTiGPMlt2Md0T9H9JQ==} + undici-types@7.24.6: + resolution: {integrity: sha512-WRNW+sJgj5OBN4/0JpHFqtqzhpbnV0GuB+OozA9gCL7a993SmU+1JBZCzLNxYsbMfIeDL+lTsphD5jN5N+n0zg==} + unist-util-is@6.0.1: resolution: {integrity: sha512-LsiILbtBETkDz8I9p1dQ0uyRUWuaQzd/cuEeS1hoRSyW5E5XGmTzlwY1OrNzzakGowI9Dr/I8HVaw4hTtnxy8g==} @@ -5505,6 +5549,10 @@ snapshots: dependencies: undici-types: 6.19.8 + '@types/node@25.9.8': + dependencies: + undici-types: 7.24.6 + '@types/stack-utils@2.0.3': {} '@types/tmp@0.2.6': {} @@ -5694,17 +5742,40 @@ snapshots: json-bignum: 0.0.3 tslib: 2.8.1 - apache-arrow@18.1.0: + apache-arrow@19.0.1: dependencies: '@swc/helpers': 0.5.21 '@types/command-line-args': 5.2.3 '@types/command-line-usage': 5.0.4 '@types/node': 20.19.41 - command-line-args: 5.2.1 + command-line-args: 6.0.2 command-line-usage: 7.0.4 flatbuffers: 24.12.23 json-bignum: 0.0.3 tslib: 2.8.1 + transitivePeerDependencies: + - '@75lb/nature' + + apache-arrow@20.0.0: + dependencies: + '@swc/helpers': 0.5.21 + '@types/command-line-args': 5.2.3 + '@types/command-line-usage': 5.0.4 + '@types/node': 20.19.41 + command-line-args: 6.0.2 + command-line-usage: 7.0.4 + flatbuffers: 25.9.23 + json-bignum: 0.0.3 + tslib: 2.8.1 + transitivePeerDependencies: + - '@75lb/nature' + + apache-arrow@21.2.0: + dependencies: + '@types/node': 25.9.8 + flatbuffers: 25.9.23 + json-with-bigint: 3.5.8 + tslib: 2.8.1 argparse@1.0.10: dependencies: @@ -5906,6 +5977,13 @@ snapshots: lodash.camelcase: 4.3.0 typical: 4.0.0 + command-line-args@6.0.2: + dependencies: + array-back: 6.2.3 + find-replace: 5.0.2 + lodash.camelcase: 4.3.0 + typical: 7.3.0 + command-line-usage@7.0.4: dependencies: array-back: 6.2.3 @@ -6178,6 +6256,8 @@ snapshots: dependencies: array-back: 3.1.0 + find-replace@5.0.2: {} + find-up@4.1.0: dependencies: locate-path: 5.0.0 @@ -6201,6 +6281,8 @@ snapshots: flatbuffers@24.12.23: {} + flatbuffers@25.9.23: {} + flatted@3.4.2: {} follow-redirects@1.16.0: {} @@ -7405,6 +7487,8 @@ snapshots: undici-types@6.21.0: {} + undici-types@7.24.6: {} + unist-util-is@6.0.1: dependencies: '@types/unist': 3.0.3 diff --git a/nodejs/tsconfig.json b/nodejs/tsconfig.json index 9b83da5ec..094fe5003 100644 --- a/nodejs/tsconfig.json +++ b/nodejs/tsconfig.json @@ -10,7 +10,10 @@ "resolveJsonModule": true, "emitDecoratorMetadata": true, "experimentalDecorators": true, - "moduleResolution": "Node" + "moduleResolution": "Node", + // flatbuffers 25 (via apache-arrow 21) ships declarations that need + // TypeScript 5.7+ generic typed arrays; skip checking third-party .d.ts. + "skipLibCheck": true }, "exclude": ["./dist/*", "./examples/*"], "typedocOptions": { From b0c0d8ee92682921405083cb48fb204bacdcbc0e Mon Sep 17 00:00:00 2001 From: Will Jones Date: Fri, 2 Oct 2026 19:59:24 -0500 Subject: [PATCH 04/25] perf(remote): size blob file handles from one descriptor take (#4349) --- python/python/tests/test_remote_db.py | 30 +- rust/lancedb/src/remote/table/blobs.rs | 683 ++++++++++++++++++++++--- 2 files changed, 648 insertions(+), 65 deletions(-) diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index cd4b78a1b..8f534f678 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -2391,6 +2391,27 @@ def blob_query_response_table(): ) +def blob_descriptor_take_table(): + """What `fetch_blob_files` reads for rows 10, 20, 30, and 40.""" + queried = blob_query_response_table() + image_field = queried.schema.field("image") + images = pa.StructArray.from_arrays( + [ + pa.array([0, 0, 0, 0], type=pa.uint8()), + pa.array([0, 0, 0, 0], type=pa.uint64()), + pa.array([5, 0, 5, 0], type=pa.uint64()), + pa.array([0, 0, 0, 0], type=pa.uint32()), + pa.array(["", "", "", ""], type=pa.string()), + ], + fields=image_field.type, + mask=pa.array([False, True, False, False]), + ) + return pa.Table.from_arrays( + [images, pa.array([10, 20, 30, 40], type=pa.uint64())], + schema=pa.schema([image_field, pa.field("_rowid", pa.uint64())]), + ) + + @contextlib.contextmanager def blob_remote_table(*, server_version=Version("0.5.0")): def handler(request): @@ -2429,9 +2450,14 @@ def blob_remote_table(*, server_version=Version("0.5.0")): elif request.path == "/v1/table/test/query/": content_len = int(request.headers.get("Content-Length", 0)) body = json.loads(request.rfile.read(content_len)) - assert body["columns"] == ["id", "image"] assert body["with_row_id"] is True - response_table = blob_query_response_table() + if body["columns"] == ["image"]: + # fetch_blob_files sizes its handles from a descriptor take. + assert body["filter"].startswith("_rowid IN") + response_table = blob_descriptor_take_table() + else: + assert body["columns"] == ["id", "image"] + response_table = blob_query_response_table() request.send_response(200) request.send_header("Content-Type", "application/vnd.apache.arrow.file") request.end_headers() diff --git a/rust/lancedb/src/remote/table/blobs.rs b/rust/lancedb/src/remote/table/blobs.rs index 07aeeae63..ac37bf7ae 100644 --- a/rust/lancedb/src/remote/table/blobs.rs +++ b/rust/lancedb/src/remote/table/blobs.rs @@ -3,23 +3,28 @@ //! Cloud blob column listing, whole-byte fetch, and seekable HTTP byte-range handles. +use std::collections::HashMap; use std::ops::Range; use std::sync::Arc; use std::sync::atomic::{AtomicBool, Ordering}; use std::time::Duration; -use arrow_array::{Array, LargeBinaryArray}; +use arrow_array::{Array, LargeBinaryArray, StructArray, UInt8Array, UInt64Array}; use arrow_schema::DataType; use bytes::{Bytes, BytesMut}; +use datafusion_expr::{col, lit}; use futures::{StreamExt, TryStreamExt}; +use lance::dataset::ROW_ID; +use lance_core::datatypes::BlobKind; use reqwest::{Response, StatusCode, header}; use tokio::sync::Mutex; use crate::Error; use crate::blob::BlobFile; use crate::error::Result; +use crate::query::{QueryFilter, QueryRequest, Select}; use crate::remote::client::{HttpSend, RequestResultExt, RestfulLanceDbClient}; -use crate::table::BaseTable; +use crate::table::{AnyQuery, BaseTable}; use super::{ FreshnessHeaders, FreshnessState, ReadSnapshot, RemoteTable, VERSION_HEADER, @@ -520,7 +525,11 @@ impl RemoteTable { /// Open seekable handles for `row_ids`. /// - /// Each non-null row is probed once to determine its size. + /// Descriptors for the requested rows come from one `_rowid` take query per + /// [`MAX_FETCH_BLOBS_ROW_IDS`] unique row ids, all read at one exact table + /// version. Each handle is sized from its descriptor and reads that + /// version. Only external blobs whose descriptor records no size are + /// probed, because their length is the whole object's. pub(super) async fn fetch_blob_files_impl( &self, column: &str, @@ -530,46 +539,251 @@ impl RemoteTable { if row_ids.is_empty() { return Ok(Vec::new()); } - if !self.server_version.support_blobs() { - return Err(Error::NotSupported { - message: "fetch_blob_files requires LanceDB Cloud server 0.5.0 or newer".into(), - }); - } + self.ensure_blob_files_supported()?; - let read_snapshot = self.snapshot_read_state().await; - self.fetch_blob_files_with_snapshot(column, row_ids, read_snapshot) - .await + let mut read_snapshot = self.snapshot_read_state().await; + let sizes = self + .take_blob_descriptor_sizes(column, row_ids, &mut read_snapshot) + .await?; + let version = read_snapshot.version; + + let mut files = Vec::with_capacity(row_ids.len()); + let mut probe_indices = Vec::new(); + let mut probe_requesters = Vec::new(); + for (index, row_id) in row_ids.iter().enumerate() { + match sizes[row_id] { + DescriptorSize::Null => files.push(None), + DescriptorSize::Known(size) => { + let requester = self.blob_range_requester(column, *row_id, &read_snapshot); + files.push(Some(RemoteBlobFile::new(requester, size, version).into())); + } + DescriptorSize::Unresolved => { + files.push(None); + probe_indices.push(index); + probe_requesters.push(self.blob_range_requester( + column, + *row_id, + &read_snapshot, + )); + } + } + } + let probed = probe_blob_files(probe_requesters).await?; + for (index, file) in probe_indices.into_iter().zip(probed) { + files[index] = file; + } + Ok(files) } + /// Probe each row once for its size. + /// + /// Serves callers that must not issue a query, such as a single blob that + /// the whole-byte route could not return. async fn fetch_blob_files_with_snapshot( &self, column: &str, row_ids: &[u64], read_snapshot: ReadSnapshot, ) -> Result>> { - let encoded_column = urlencoding::encode(column); let requesters = row_ids .iter() - .map(|row_id| { - let path = format!( - "/v1/table/{}/blob/{encoded_column}/{row_id}/bytes", - self.identifier - ); - let requester: Arc = Arc::new(TableBlobRangeRequester { - client: self.client.clone(), - path, - version: read_snapshot.version, - branch: self.branch.clone(), - freshness: Arc::new(std::sync::Mutex::new(read_snapshot.freshness_state)), - parent_freshness: self.freshness.clone(), - parent_freshness_request: read_snapshot.freshness, - read_consistency_interval: self.client.read_consistency_interval, - }); - requester - }) + .map(|row_id| self.blob_range_requester(column, *row_id, &read_snapshot)) .collect(); probe_blob_files(requesters).await } + + /// Read the blob descriptor of every unique row in `row_ids`. + /// + /// Pins `read_snapshot` to the version the first take read, so later chunks + /// and the returned handles all see one table version. + async fn take_blob_descriptor_sizes( + &self, + column: &str, + row_ids: &[u64], + read_snapshot: &mut ReadSnapshot, + ) -> Result> { + let mut unique_row_ids = row_ids.to_vec(); + unique_row_ids.sort_unstable(); + unique_row_ids.dedup(); + + let mut sizes = HashMap::with_capacity(unique_row_ids.len()); + for chunk in unique_row_ids.chunks(MAX_FETCH_BLOBS_ROW_IDS) { + let (mut chunk_sizes, response_version) = self + .take_blob_descriptor_chunk(column, chunk, *read_snapshot) + .await?; + if read_snapshot.version.is_none() { + match response_version { + Some(version) => read_snapshot.version = Some(version), + None => { + // A server that does not report its read version may have read + // an older version than a describe now returns, so the take is + // repeated at the described version. + read_snapshot.version = + Some(self.describe_read_snapshot(*read_snapshot).await?.version); + (chunk_sizes, _) = self + .take_blob_descriptor_chunk(column, chunk, *read_snapshot) + .await?; + } + } + } + sizes.extend(chunk_sizes); + } + let found = unique_row_ids + .iter() + .filter(|row_id| sizes.contains_key(row_id)) + .count(); + if found < unique_row_ids.len() { + return Err(Error::InvalidInput { + message: format!( + "blob read for column '{column}' requested {} row ids but only {found} exist \ + in the table; pass row ids collected from this table", + unique_row_ids.len() + ), + }); + } + Ok(sizes) + } + + /// Take one chunk of descriptors, also returning the version the server + /// reported reading. + async fn take_blob_descriptor_chunk( + &self, + column: &str, + row_ids: &[u64], + read_snapshot: ReadSnapshot, + ) -> Result<(HashMap, Option)> { + let query = AnyQuery::Query(QueryRequest { + filter: Some(QueryFilter::Datafusion( + col(ROW_ID).in_list(row_ids.iter().map(|id| lit(*id)).collect(), false), + )), + select: Select::columns(&[column]), + with_row_id: true, + // Row ids name base-table rows, and the MemWAL scanner has no stable `_rowid`. + use_lsm: Some(false), + ..Default::default() + }); + let body = self + .prepare_query_bodies(&query, read_snapshot.version)? + .pop() + .expect("a plain query has one body"); + let request = self + .client + .post(&format!("/v1/table/{}/query/", self.identifier)) + .json(&body); + let (request_id, response) = self + .send_with_freshness(request, true, read_snapshot.freshness) + .await?; + let response_version = response + .headers() + .get(&VERSION_HEADER) + .and_then(|value| value.to_str().ok()) + .and_then(|value| value.parse().ok()); + let mut stream = self.read_arrow_response(&request_id, response).await?; + + let mut sizes = HashMap::with_capacity(row_ids.len()); + let invalid_response = |message: String| Error::Http { + source: message.into(), + request_id: request_id.clone(), + status_code: None, + }; + while let Some(batch) = stream.try_next().await? { + let taken_row_ids = batch + .column_by_name(ROW_ID) + .and_then(|array| array.as_any().downcast_ref::()) + .ok_or_else(|| { + invalid_response(format!("blob descriptor take is missing UInt64 '{ROW_ID}'")) + })?; + let values = batch.column_by_name(column).ok_or_else(|| { + invalid_response(format!("blob descriptor take is missing '{column}'")) + })?; + // Only blob v2 columns read back as descriptors. + let descriptors = values + .as_any() + .downcast_ref::() + .and_then(BlobDescriptorSizes::try_new) + .ok_or_else(|| Error::InvalidInput { + message: format!("column '{column}' is not a blob column"), + })?; + for (index, row_id) in taken_row_ids.values().iter().enumerate() { + sizes.insert(*row_id, descriptors.size(index)?); + } + } + Ok((sizes, response_version)) + } + + fn ensure_blob_files_supported(&self) -> Result<()> { + if self.server_version.support_blobs() { + Ok(()) + } else { + Err(Error::NotSupported { + message: "fetch_blob_files requires LanceDB Cloud server 0.5.0 or newer".into(), + }) + } + } + + fn blob_range_requester( + &self, + column: &str, + row_id: u64, + read_snapshot: &ReadSnapshot, + ) -> Arc { + let path = format!( + "/v1/table/{}/blob/{}/{row_id}/bytes", + self.identifier, + urlencoding::encode(column) + ); + Arc::new(TableBlobRangeRequester { + client: self.client.clone(), + path, + version: read_snapshot.version, + branch: self.branch.clone(), + freshness: Arc::new(std::sync::Mutex::new(read_snapshot.freshness_state)), + parent_freshness: self.freshness.clone(), + parent_freshness_request: read_snapshot.freshness, + read_consistency_interval: self.client.read_consistency_interval, + }) + } +} + +/// What a blob v2 descriptor says about a row's size. +#[derive(Debug, Clone, Copy)] +enum DescriptorSize { + Null, + Known(u64), + /// An external blob that recorded no size. Its length is the whole + /// object's, which only the server can resolve. + Unresolved, +} + +/// The `kind` and `size` children of a blob v2 descriptor array. +struct BlobDescriptorSizes<'a> { + descriptors: &'a StructArray, + kinds: &'a UInt8Array, + sizes: &'a UInt64Array, +} + +impl<'a> BlobDescriptorSizes<'a> { + fn try_new(descriptors: &'a StructArray) -> Option { + let child = |name: &str| descriptors.column_by_name(name); + Some(Self { + descriptors, + kinds: child("kind")?.as_any().downcast_ref::()?, + sizes: child("size")?.as_any().downcast_ref::()?, + }) + } + + fn size(&self, index: usize) -> Result { + if self.descriptors.is_null(index) || self.kinds.is_null(index) { + return Ok(DescriptorSize::Null); + } + let kind = BlobKind::try_from(self.kinds.value(index))?; + let size = self.sizes.value(index); + Ok(if kind == BlobKind::External && size == 0 { + DescriptorSize::Unresolved + } else { + DescriptorSize::Known(size) + }) + } } /// Probe blob sizes while preserving row order. @@ -689,6 +903,8 @@ mod tests { use reqwest::Request; use semver::Version; + use arrow_array::RecordBatch; + use super::*; const PAYLOAD: &[u8] = b"0123456789abcdefghijklmnopqrstuvwxyz"; @@ -772,10 +988,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); - let mut files = table - .fetch_blob_files_impl("image", &[10, 20]) - .await - .unwrap(); + let mut files = table.probe_files("image", &[10, 20]).await.unwrap(); assert_eq!(files.len(), 2); assert!(files[1].is_none()); @@ -787,12 +1000,368 @@ mod tests { ); } + /// Descriptors as a remote query returns them, one `(kind, size)` per row. + fn descriptors(rows: &[Option<(BlobKind, u64)>]) -> StructArray { + let kinds = rows + .iter() + .map(|row| row.map_or(0, |(kind, _)| kind as u8)) + .collect::(); + let sizes = rows + .iter() + .map(|row| row.map_or(0, |(_, size)| size)) + .collect::(); + let len = rows.len(); + StructArray::new( + lance_core::datatypes::BLOB_V2_DESC_FIELDS.clone(), + vec![ + Arc::new(kinds), + Arc::new(UInt64Array::from(vec![0; len])), + Arc::new(sizes), + Arc::new(arrow_array::UInt32Array::from(vec![0; len])), + Arc::new(arrow_array::StringArray::from(vec![""; len])), + ], + Some(rows.iter().map(Option::is_some).collect()), + ) + } + + impl RemoteTable { + /// Open handles through the per-row size probe alone. + async fn probe_files( + &self, + column: &str, + row_ids: &[u64], + ) -> Result>> { + let read_snapshot = self.snapshot_read_state().await; + self.fetch_blob_files_with_snapshot(column, row_ids, read_snapshot) + .await + } + } + + /// A request the take mock received. + #[derive(Debug, Clone, PartialEq)] + enum TakeMockRequest { + Query { + row_ids: Vec, + version: Option, + }, + Describe, + Range { + row_id: u64, + range: String, + version: Option, + }, + } + + /// Row ids named by a `_rowid IN (...)` filter. + fn filter_row_ids(filter: &str) -> Vec { + let list = filter.split_once('(').unwrap().1.trim_end_matches(')'); + list.split(',') + .map(|id| id.trim().parse().unwrap()) + .collect() + } + + /// A table whose query route answers `_rowid` takes from `rows` and whose + /// byte routes serve [`PAYLOAD`]. Takes return rows in reverse order, and + /// report `query_version` in `x-lancedb-version` when it is set. + fn mock_take_blob_table( + rows: Vec<(u64, Option<(BlobKind, u64)>)>, + query_version: Option<&'static str>, + ) -> ( + RemoteTable, + Arc>>, + ) { + let requests = Arc::new(StdMutex::new(Vec::new())); + let captured = requests.clone(); + let table = RemoteTable::new_mock( + "my_table".to_string(), + move |request| { + let path = request.url().path().to_string(); + if path == "/v1/table/my_table/query/" { + let body: serde_json::Value = + serde_json::from_slice(request.body().unwrap().as_bytes().unwrap()) + .unwrap(); + assert_eq!(body["columns"], serde_json::json!(["image"])); + assert_eq!(body["with_row_id"], serde_json::json!(true)); + assert_eq!(body["use_lsm"], serde_json::json!(false)); + let requested = filter_row_ids(body["filter"].as_str().unwrap()); + captured.lock().unwrap().push(TakeMockRequest::Query { + row_ids: requested.clone(), + version: body["version"].as_u64(), + }); + let taken = rows + .iter() + .rev() + .filter(|(row_id, _)| requested.contains(row_id)) + .collect::>(); + let batch = RecordBatch::try_from_iter([ + ( + "image", + Arc::new(descriptors( + &taken.iter().map(|(_, row)| *row).collect::>(), + )) as Arc, + ), + ( + ROW_ID, + Arc::new(UInt64Array::from_iter_values( + taken.iter().map(|(row_id, _)| *row_id), + )) as Arc, + ), + ]) + .unwrap(); + let mut body = Vec::new(); + let mut writer = + arrow_ipc::writer::FileWriter::try_new(&mut body, &batch.schema()).unwrap(); + writer.write(&batch).unwrap(); + writer.finish().unwrap(); + drop(writer); + let mut response = http::Response::builder().status(200); + if let Some(version) = query_version { + response = response.header(VERSION_HEADER, version); + } + return response.body(body).unwrap(); + } + if path == "/v1/table/my_table/describe/" { + captured.lock().unwrap().push(TakeMockRequest::Describe); + return http::Response::builder() + .status(200) + .body(r#"{"version":9,"schema":{"fields":[]}}"#.as_bytes().to_vec()) + .unwrap(); + } + let row_id = path + .strip_prefix("/v1/table/my_table/blob/image/") + .and_then(|rest| rest.strip_suffix("/bytes")) + .unwrap_or_else(|| panic!("unexpected path: {path}")) + .parse() + .unwrap(); + captured.lock().unwrap().push(TakeMockRequest::Range { + row_id, + range: request.headers()[header::RANGE] + .to_str() + .unwrap() + .to_string(), + version: request + .url() + .query_pairs() + .find(|(name, _)| name == "version") + .map(|(_, value)| value.into_owned()), + }); + range_response(&request, PAYLOAD) + }, + Some(Version::new(0, 5, 0)), + ); + (table, requests) + } + + #[tokio::test] + async fn remote_blob_files_are_sized_from_one_descriptor_take() { + let payload_size = PAYLOAD.len() as u64; + let (table, requests) = mock_take_blob_table( + vec![ + (10, Some((BlobKind::Inline, payload_size))), + (20, None), + (30, Some((BlobKind::Inline, 0))), + (40, Some((BlobKind::Packed, payload_size))), + (50, Some((BlobKind::Dedicated, payload_size))), + (60, Some((BlobKind::External, 0))), + ], + Some("7"), + ); + + // Reordered and duplicated row ids come back in request order. + let files = table + .fetch_blob_files_impl("image", &[60, 10, 20, 30, 40, 50, 10]) + .await + .unwrap(); + + let sizes = files + .iter() + .map(|file| file.as_ref().map(BlobFile::size)) + .collect::>(); + assert_eq!( + sizes, + [ + Some(payload_size), + Some(payload_size), + None, + Some(0), + Some(payload_size), + Some(payload_size), + Some(payload_size), + ] + ); + // One take, then a probe for the external blob that recorded no size. + assert_eq!( + requests.lock().unwrap().as_slice(), + [ + TakeMockRequest::Query { + row_ids: vec![10, 20, 30, 40, 50, 60], + version: None, + }, + TakeMockRequest::Range { + row_id: 60, + range: "bytes=0-0".into(), + version: Some("7".into()), + }, + ] + ); + + // Sized handles read the version the take read. + assert_eq!( + files[1].as_ref().unwrap().read_range(5..12).await.unwrap(), + &PAYLOAD[5..12] + ); + assert!(files[3].as_ref().unwrap().read().await.unwrap().is_empty()); + assert_eq!( + requests.lock().unwrap().last().unwrap(), + &TakeMockRequest::Range { + row_id: 10, + range: "bytes=5-11".into(), + version: Some("7".into()), + } + ); + } + + #[tokio::test] + async fn remote_blob_files_take_every_chunk_at_the_first_version() { + let row_ids = (0..MAX_FETCH_BLOBS_ROW_IDS as u64 + 1).collect::>(); + let (table, requests) = mock_take_blob_table( + row_ids.iter().map(|row_id| (*row_id, None)).collect(), + Some("7"), + ); + + let files = table + .fetch_blob_files_impl("image", &row_ids) + .await + .unwrap(); + + assert_eq!(files.len(), row_ids.len()); + let versions = requests + .lock() + .unwrap() + .iter() + .map(|request| match request { + TakeMockRequest::Query { row_ids, version } => (row_ids.len(), *version), + other => panic!("unexpected request: {other:?}"), + }) + .collect::>(); + assert_eq!(versions, [(MAX_FETCH_BLOBS_ROW_IDS, None), (1, Some(7))]); + } + + #[tokio::test] + async fn remote_blob_files_retake_at_the_described_version_when_a_take_does_not_report_it() { + let payload_size = PAYLOAD.len() as u64; + let (table, requests) = + mock_take_blob_table(vec![(10, Some((BlobKind::Inline, payload_size)))], None); + + let file = table + .fetch_blob_files_impl("image", &[10]) + .await + .unwrap() + .pop() + .flatten() + .unwrap(); + file.read_range(0..4).await.unwrap(); + + // The unversioned take is repeated at the described version. + assert_eq!( + requests.lock().unwrap().as_slice(), + [ + TakeMockRequest::Query { + row_ids: vec![10], + version: None, + }, + TakeMockRequest::Describe, + TakeMockRequest::Query { + row_ids: vec![10], + version: Some(9), + }, + TakeMockRequest::Range { + row_id: 10, + range: "bytes=0-3".into(), + version: Some("9".into()), + }, + ] + ); + } + + #[tokio::test] + async fn remote_blob_files_take_at_the_checked_out_version() { + let payload_size = PAYLOAD.len() as u64; + let (table, requests) = mock_take_blob_table( + vec![(10, Some((BlobKind::Inline, payload_size)))], + Some("7"), + ); + table.checkout(9).await.unwrap(); + requests.lock().unwrap().clear(); + + table.fetch_blob_files_impl("image", &[10]).await.unwrap(); + + assert_eq!( + requests.lock().unwrap().as_slice(), + [TakeMockRequest::Query { + row_ids: vec![10], + version: Some(9), + }] + ); + } + + #[tokio::test] + async fn remote_blob_files_reject_row_ids_missing_from_the_take() { + let (table, requests) = mock_take_blob_table(vec![(10, None)], Some("7")); + + let error = table + .fetch_blob_files_impl("image", &[10, 99]) + .await + .unwrap_err(); + + assert!(matches!(error, Error::InvalidInput { .. }), "{error}"); + assert!(error.to_string().contains("only 1 exist"), "{error}"); + assert_eq!(requests.lock().unwrap().len(), 1); + } + + #[tokio::test] + async fn remote_blob_files_reject_a_non_blob_column() { + let table = RemoteTable::new_mock( + "my_table".to_string(), + |request| { + assert_eq!(request.url().path(), "/v1/table/my_table/query/"); + let batch = RecordBatch::try_from_iter([ + ( + "id", + Arc::new(arrow_array::Int64Array::from(vec![1])) as Arc, + ), + ( + ROW_ID, + Arc::new(UInt64Array::from(vec![10])) as Arc, + ), + ]) + .unwrap(); + let mut body = Vec::new(); + let mut writer = + arrow_ipc::writer::FileWriter::try_new(&mut body, &batch.schema()).unwrap(); + writer.write(&batch).unwrap(); + writer.finish().unwrap(); + drop(writer); + http::Response::builder().status(200).body(body).unwrap() + }, + Some(Version::new(0, 5, 0)), + ); + + let error = table.fetch_blob_files_impl("id", &[10]).await.unwrap_err(); + + assert!(matches!(error, Error::InvalidInput { .. }), "{error}"); + assert!( + error.to_string().contains("'id' is not a blob column"), + "{error}" + ); + } + #[tokio::test] async fn remote_blob_file_reads_the_requested_range() { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -841,7 +1410,7 @@ mod tests { ); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -890,7 +1459,7 @@ mod tests { table.checkout(5).await.unwrap(); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -910,7 +1479,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -933,10 +1502,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); - let mut files = table - .fetch_blob_files_impl("image", &[10, 20, 30]) - .await - .unwrap(); + let mut files = table.probe_files("image", &[10, 20, 30]).await.unwrap(); assert_eq!(files.len(), 3); assert!(files[1].is_none()); @@ -964,10 +1530,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); - let error = table - .fetch_blob_files_impl("image", &[10]) - .await - .unwrap_err(); + let error = table.probe_files("image", &[10]).await.unwrap_err(); assert!( error .to_string() @@ -991,10 +1554,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); - let error = table - .fetch_blob_files_impl("image", &[10]) - .await - .unwrap_err(); + let error = table.probe_files("image", &[10]).await.unwrap_err(); assert!( error .to_string() @@ -1015,10 +1575,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); - let error = table - .fetch_blob_files_impl("image", &[10]) - .await - .unwrap_err(); + let error = table.probe_files("image", &[10]).await.unwrap_err(); assert!( error .to_string() @@ -1076,7 +1633,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -1116,7 +1673,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -1167,7 +1724,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -1194,7 +1751,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -1273,7 +1830,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); - let mut files = table.fetch_blob_files_impl("image", &[10]).await.unwrap(); + let mut files = table.probe_files("image", &[10]).await.unwrap(); let file = files.remove(0).unwrap(); assert_eq!(file.size(), PAYLOAD.len() as u64); @@ -1288,7 +1845,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); - let mut files = table.fetch_blob_files_impl("image", &[10]).await.unwrap(); + let mut files = table.probe_files("image", &[10]).await.unwrap(); let file = files.remove(0).unwrap(); let probe_requests = requests.lock().unwrap().len(); @@ -1313,7 +1870,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); - let mut files = table.fetch_blob_files_impl("image", &[10]).await.unwrap(); + let mut files = table.probe_files("image", &[10]).await.unwrap(); let file = files.remove(0).unwrap(); let probe_requests = requests.lock().unwrap().len(); @@ -1365,7 +1922,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); - let mut files = table.fetch_blob_files_impl("image", &[10]).await.unwrap(); + let mut files = table.probe_files("image", &[10]).await.unwrap(); let file = files.remove(0).unwrap(); let error = file.read_range(1..3).await.unwrap_err(); @@ -1456,7 +2013,7 @@ mod tests { let requests = Arc::new(StdMutex::new(Vec::new())); let table = mock_remote_blob_table(requests.clone()); let file = table - .fetch_blob_files_impl("image", &[10]) + .probe_files("image", &[10]) .await .unwrap() .pop() @@ -1502,7 +2059,7 @@ mod tests { Some(Version::new(0, 5, 0)), ); - let mut files = table.fetch_blob_files_impl("image", &[10]).await.unwrap(); + let mut files = table.probe_files("image", &[10]).await.unwrap(); let file = files.remove(0).unwrap(); let error = file.read_range(1..3).await.unwrap_err(); assert!(error.to_string().contains("206"), "got: {error}"); From 3d8c9e2ddc61ce819f42bd56c4b56ee0fd4ae769 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Fri, 2 Oct 2026 22:19:24 -0500 Subject: [PATCH 05/25] fix(python): close synchronous database connections (#4424) Calling `close()` on a synchronous remote connection returned an unawaited coroutine and left the connection usable. Local synchronous connections had no close or context-manager API. Add synchronous `close()` and `is_open()` to the connection interface, delegate them to the existing connection handle for local, remote, and namespace connections, and provide shared context-manager cleanup. Closing is idempotent, and subsequent database operations use the existing `Connection is closed` error. Document the lifecycle with examples. Validation: - Reproduced the reported coroutine warning and missing local lifecycle API on the original code; all 15 new regression cases failed before the fix. - All 168 tests in `test_db.py`, `test_remote_db.py`, and `test_namespace.py` passed through the uv-managed environment, including local, in-memory, namespace, native-derived, and mocked remote lifecycle coverage. - All 6 synchronous connection doctests passed. - Repository-wide Ruff 0.9.9 lint and formatting passed; `git diff --check` passed. Fixes #4382 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- python/python/lancedb/db.py | 51 ++++++++++++++++++++++++++- python/python/lancedb/namespace.py | 8 +++++ python/python/lancedb/remote/db.py | 8 +++-- python/python/tests/test_db.py | 44 +++++++++++++++++++++++ python/python/tests/test_remote_db.py | 39 +++++++++++++++++--- 5 files changed, 143 insertions(+), 7 deletions(-) diff --git a/python/python/lancedb/db.py b/python/python/lancedb/db.py index 60e1780f0..330514484 100644 --- a/python/python/lancedb/db.py +++ b/python/python/lancedb/db.py @@ -122,7 +122,48 @@ def _view_description( class DBConnection(EnforceOverrides): - """An active LanceDB connection interface.""" + """An active LanceDB connection interface. + + Use [close][lancedb.db.DBConnection.close] to release the connection's + underlying resources, or use the connection as a context manager to close it + automatically when leaving the block, including when an exception is raised. + + Examples + -------- + >>> import lancedb + >>> with lancedb.connect("memory://") as db: + ... assert db.is_open() + >>> db.is_open() + False + """ + + def __enter__(self) -> DBConnection: + return self + + def __exit__(self, *_) -> None: + self.close() + + @abstractmethod + def is_open(self) -> bool: + """Return True if the connection is open.""" + pass + + @abstractmethod + def close(self) -> None: + """Close the connection, releasing any underlying resources. + + It is safe to call this method multiple times. Database operations on a + closed connection raise ``RuntimeError: Connection is closed``. + + Examples + -------- + >>> import lancedb + >>> db = lancedb.connect("memory://") + >>> db.close() + >>> db.is_open() + False + """ + pass def list_namespaces( self, @@ -1275,6 +1316,14 @@ class LanceDBConnection(DBConnection): def __repr__(self) -> str: return f"{self.__class__.__name__}(uri={self._conn.uri!r})" + @override + def is_open(self) -> bool: + return self._conn.is_open() + + @override + def close(self) -> None: + self._conn.close() + @override def serialize(self) -> str: import json diff --git a/python/python/lancedb/namespace.py b/python/python/lancedb/namespace.py index cf1910c68..16be63e2d 100644 --- a/python/python/lancedb/namespace.py +++ b/python/python/lancedb/namespace.py @@ -489,6 +489,14 @@ class LanceNamespaceDBConnection(DBConnection): ) self._uri = self._inner.uri + @override + def is_open(self) -> bool: + return self._inner.is_open() + + @override + def close(self) -> None: + self._inner.close() + @override def serialize(self) -> str: import json diff --git a/python/python/lancedb/remote/db.py b/python/python/lancedb/remote/db.py index 3773ac547..52323daef 100644 --- a/python/python/lancedb/remote/db.py +++ b/python/python/lancedb/remote/db.py @@ -1054,6 +1054,10 @@ class RemoteDBConnection(DBConnection): """ return LOOP.run(self._conn.namespace_client()) - async def close(self): - """Close the connection to the database.""" + @override + def is_open(self) -> bool: + return self._conn.is_open() + + @override + def close(self) -> None: self._conn.close() diff --git a/python/python/tests/test_db.py b/python/python/tests/test_db.py index aeb9feeb8..29f02c09e 100644 --- a/python/python/tests/test_db.py +++ b/python/python/tests/test_db.py @@ -2,6 +2,7 @@ # SPDX-FileCopyrightText: Copyright The LanceDB Authors +import contextlib import inspect import re import sys @@ -405,6 +406,49 @@ async def test_connect(tmp_path): assert str(db) == f"ListingDatabase(uri={tmp_path}, read_consistency_interval=5s)" +@pytest.fixture(params=["memory", "local", "namespace", "from_inner"]) +def sync_db(request, tmp_path): + if request.param == "memory": + return lancedb.connect("memory://") + if request.param == "namespace": + return lancedb.connect_namespace("dir", {"root": str(tmp_path)}) + db = lancedb.connect(tmp_path) + if request.param == "from_inner": + return lancedb.db.LanceDBConnection.from_inner(db._inner, None) + return db + + +def test_sync_close(sync_db): + assert sync_db.is_open() + assert sync_db.close() is None + assert not sync_db.is_open() + assert sync_db.close() is None + + with pytest.warns(DeprecationWarning, match="table_names"): + with pytest.raises(RuntimeError, match="Connection is closed"): + sync_db.table_names() + with pytest.raises(RuntimeError, match="Connection is closed"): + sync_db.list_tables() + with pytest.raises(RuntimeError, match="Connection is closed"): + sync_db.open_table("test") + + +@pytest.mark.parametrize("raise_error", [False, True]) +def test_sync_context_manager(sync_db, raise_error): + with contextlib.ExitStack() as stack: + if raise_error: + stack.enter_context(pytest.raises(ValueError, match="test error")) + with sync_db as db: + assert db is sync_db + assert db.is_open() + if raise_error: + raise ValueError("test error") + + assert not sync_db.is_open() + with pytest.raises(RuntimeError, match="Connection is closed"): + sync_db.list_tables() + + @pytest.mark.asyncio async def test_close(mem_db_async: lancedb.AsyncConnection): assert mem_db_async.is_open() diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index 8f534f678..7810fd281 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -2145,15 +2145,46 @@ async def test_header_provider_overrides_static_headers(): def test_close(): - """Test that close() works without AttributeError.""" - import asyncio - def handler(req): req.send_response(200) req.end_headers() with mock_lancedb_connection(handler) as db: - asyncio.run(db.close()) + assert db.close() is None + assert not db.is_open() + assert db.close() is None + + with pytest.warns(DeprecationWarning, match="table_names"): + with pytest.raises(RuntimeError, match="Connection is closed"): + db.table_names() + with pytest.raises(RuntimeError, match="Connection is closed"): + db.list_tables() + with pytest.raises(RuntimeError, match="Connection is closed"): + db.open_table("test") + + +@pytest.mark.parametrize("raise_error", [False, True]) +def test_sync_context_manager(raise_error): + def handler(req): + req.send_response(200) + req.send_header("Content-Type", "application/json") + req.end_headers() + req.wfile.write(b'{"tables": []}') + + with mock_lancedb_connection(handler) as db: + with contextlib.ExitStack() as stack: + if raise_error: + stack.enter_context(pytest.raises(ValueError, match="test error")) + with db as conn: + assert conn is db + assert conn.is_open() + assert conn.list_tables().tables == [] + if raise_error: + raise ValueError("test error") + + assert not db.is_open() + with pytest.raises(RuntimeError, match="Connection is closed"): + db.list_tables() @pytest.mark.parametrize("exception", [KeyboardInterrupt, SystemExit, GeneratorExit]) From cc6b4aa4b47607f92c5a49893342a44a366340cc Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 05:53:00 -0500 Subject: [PATCH 06/25] fix(remote): preserve schema for empty merge insert sources (#4425) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Remote `merge_insert` buffered its reader into a `Vec`, losing the schema when the reader yielded no batches. Scanning that vector failed before the request could reach the server. Preserve the reader's schema in an empty record batch when buffering produces no batches. The source remains replayable for retries, and empty-source merges still reach the server so `when_not_matched_by_source_delete` can apply deletes. The regression tests decode the outgoing Arrow IPC and verify the source schema, zero rows, merge options, and result statistics on an initial request and a retry after HTTP 409. They cover readers with no batches and readers with an empty batch, in insert and delete modes, including an ID-only delete source. Validation: - Before the fix, both no-batch cases reproduced `Cannot scan an empty Vec`; the empty-batch cases passed. - `cargo test --quiet --profile ci --features remote -p lancedb --lib remote::table::tests::test_merge_insert` — 9 passed. - `cargo fmt --all` and `cargo fmt --all -- --check`. - `cargo clippy --quiet --profile ci --features remote -p lancedb --tests --examples`. Fixes #4380 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- rust/lancedb/src/remote/table.rs | 106 ++++++++++++++++++++++++++++++- 1 file changed, 105 insertions(+), 1 deletion(-) diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index 16c546147..d43bab9db 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -3101,7 +3101,13 @@ impl BaseTable for RemoteTable { // loop can re-execute the plan (and re-stream the body) on each retry. // This mirrors the old `send_streaming(with_retry=true)` path, which // likewise buffered the reader to support retries. - let batches = new_data.collect::, _>>()?; + let schema = RecordBatchReader::schema(new_data.as_ref()); + let mut batches = new_data.collect::, _>>()?; + // An empty reader still carries a schema. Keep it in an empty batch so + // the buffered source remains scannable and can be replayed on retries. + if batches.is_empty() { + batches.push(RecordBatch::new_empty(schema)); + } let source: Box = Box::new(batches); let rescannable = source.rescannable(); let input: Arc = @@ -4801,6 +4807,104 @@ mod tests { } } + #[rstest] + #[case::no_batches_insert(false, false)] + #[case::empty_batch_insert(true, false)] + #[case::no_batches_delete(false, true)] + #[case::empty_batch_delete(true, true)] + #[tokio::test] + async fn test_merge_insert_empty_source( + #[case] has_batch: bool, + #[case] delete_unmatched: bool, + ) { + let mut fields = vec![Field::new("id", DataType::Int64, false)]; + if !delete_unmatched { + fields.extend([ + Field::new("k", DataType::Int64, false), + Field::new( + "vector", + DataType::FixedSizeList( + Arc::new(Field::new("item", DataType::Float32, true)), + 2, + ), + true, + ), + Field::new("s", DataType::Utf8, true), + ]); + } + let schema = Arc::new(Schema::new_with_metadata( + fields, + HashMap::from([("source".to_string(), "empty".to_string())]), + )); + let batches = if has_batch { + vec![Ok(RecordBatch::new_empty(schema.clone()))] + } else { + vec![] + }; + let data: Box = + Box::new(RecordBatchIterator::new(batches, schema.clone())); + let attempts = Arc::new(AtomicUsize::new(0)); + let attempts_ref = attempts.clone(); + let num_deleted_rows = if delete_unmatched { 3 } else { 0 }; + + let table = Table::new_with_handler("my_table", move |request| { + assert_eq!(request.method(), "POST"); + assert_eq!(request.url().path(), "/v1/table/my_table/merge_insert/"); + assert_eq!(request.headers()[CONTENT_TYPE], ARROW_STREAM_CONTENT_TYPE); + let params = request.url().query_pairs().collect::>(); + assert_eq!(params["on"], "id"); + assert_eq!( + params["when_not_matched_insert_all"], + (!delete_unmatched).to_string() + ); + assert_eq!( + params["when_not_matched_by_source_delete"], + delete_unmatched.to_string() + ); + + let body = request.body().unwrap().as_bytes().unwrap(); + let reader = StreamReader::try_new(Cursor::new(body), None).unwrap(); + assert_eq!(reader.schema(), schema); + for batch in reader { + assert_eq!(batch.unwrap().num_rows(), 0); + } + + // The empty source must retain its schema when replayed after a conflict. + if attempts_ref.fetch_add(1, Ordering::SeqCst) == 0 { + http::Response::builder() + .status(409) + .body(String::new()) + .unwrap() + } else { + http::Response::builder() + .status(200) + .body( + json!({ + "version": 43, + "num_deleted_rows": num_deleted_rows, + "num_inserted_rows": 0, + "num_updated_rows": 0, + }) + .to_string(), + ) + .unwrap() + } + }); + + let mut merge = table.merge_insert(&["id"]); + if delete_unmatched { + merge.when_not_matched_by_source_delete(None); + } else { + merge.when_not_matched_insert_all(); + } + let result = merge.execute(data).await.unwrap(); + assert_eq!(attempts.load(Ordering::SeqCst), 2); + assert_eq!(result.version, 43); + assert_eq!(result.num_deleted_rows, num_deleted_rows); + assert_eq!(result.num_inserted_rows, 0); + assert_eq!(result.num_updated_rows, 0); + } + #[tokio::test] async fn test_merge_insert_composite_key() { let batch = RecordBatch::try_new( From 7e979c14164b9f23ec42e275f6d747df275977fa Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 05:56:50 -0500 Subject: [PATCH 07/25] fix(node): preserve schemas for empty query results (#4423) Empty local TypeScript queries returned a zero-row Arrow table with no columns because `toArrow()` built the table solely from record batches. Local streams can yield no batches, while remote streams often supply an empty batch carrying the schema. Expose the executed stream's schema through the native iterator and decode it into an empty Arrow table when no batches arrive. This preserves projected and search columns, types, nullability, and metadata without executing another query. Document the empty-result behavior. Validation: - Eleven regression cases failed with the original `toArrow()` implementation; all twelve now pass, including remote schema-only and empty-batch responses. - All 1,075 tests in the query, remote, Arrow, and table suites pass. - Native build, TypeScript compilation, Rust formatting and Clippy (`-D warnings`), TypeScript lint/formatting, and documentation generation pass. Fixes #4386 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- docs/src/js/classes/AutoQuery.md | 2 + docs/src/js/classes/Query.md | 2 + docs/src/js/classes/QueryBase.md | 2 + docs/src/js/classes/TakeQuery.md | 2 + docs/src/js/classes/VectorQuery.md | 2 + nodejs/__test__/query.test.ts | 123 +++++++++++++++++++++++++++++ nodejs/__test__/remote.test.ts | 68 ++++++++++++++++ nodejs/lancedb/query.ts | 33 +++----- nodejs/src/iterator.rs | 8 ++ 9 files changed, 219 insertions(+), 23 deletions(-) diff --git a/docs/src/js/classes/AutoQuery.md b/docs/src/js/classes/AutoQuery.md index 79d666124..12f517dbd 100644 --- a/docs/src/js/classes/AutoQuery.md +++ b/docs/src/js/classes/AutoQuery.md @@ -417,6 +417,8 @@ Collect the results as an Arrow ArrowTable. +Empty results retain the query's output schema. + #### Inherited from `StandardQueryBase.toArrow` diff --git a/docs/src/js/classes/Query.md b/docs/src/js/classes/Query.md index 0abf49755..3038bf2b3 100644 --- a/docs/src/js/classes/Query.md +++ b/docs/src/js/classes/Query.md @@ -491,6 +491,8 @@ Collect the results as an Arrow ArrowTable. +Empty results retain the query's output schema. + #### Inherited from `StandardQueryBase.toArrow` diff --git a/docs/src/js/classes/QueryBase.md b/docs/src/js/classes/QueryBase.md index 664337bad..0ef4fa286 100644 --- a/docs/src/js/classes/QueryBase.md +++ b/docs/src/js/classes/QueryBase.md @@ -252,6 +252,8 @@ Collect the results as an Arrow ArrowTable. +Empty results retain the query's output schema. + *** ### withRowId() diff --git a/docs/src/js/classes/TakeQuery.md b/docs/src/js/classes/TakeQuery.md index 79a53f753..f3d59a2a3 100644 --- a/docs/src/js/classes/TakeQuery.md +++ b/docs/src/js/classes/TakeQuery.md @@ -267,6 +267,8 @@ Collect the results as an Arrow ArrowTable. +Empty results retain the query's output schema. + #### Inherited from [`QueryBase`](QueryBase.md).[`toArrow`](QueryBase.md#toarrow) diff --git a/docs/src/js/classes/VectorQuery.md b/docs/src/js/classes/VectorQuery.md index 29749c28f..f49963d60 100644 --- a/docs/src/js/classes/VectorQuery.md +++ b/docs/src/js/classes/VectorQuery.md @@ -740,6 +740,8 @@ Collect the results as an Arrow ArrowTable. +Empty results retain the query's output schema. + #### Inherited from `StandardQueryBase.toArrow` diff --git a/nodejs/__test__/query.test.ts b/nodejs/__test__/query.test.ts index 5f3e68b16..2cfecf823 100644 --- a/nodejs/__test__/query.test.ts +++ b/nodejs/__test__/query.test.ts @@ -110,6 +110,129 @@ describe("Query outputSchema", () => { }); }); +describe("Query empty results", () => { + let tmpDir: tmp.DirResult; + let table: Table; + + beforeEach(async () => { + tmpDir = tmp.dirSync({ unsafeCleanup: true }); + const db = await connect(tmpDir.name); + const schema = new Schema( + [ + new Field("id", new Int64(), false), + new Field( + "text", + new Utf8(), + true, + new Map([["description", "searchable text"]]), + ), + new Field( + "vector", + new FixedSizeList(2, new Field("item", new Float32())), + true, + ), + ], + new Map([["source", "empty-query-regression"]]), + ); + table = await db.createTable( + "test", + makeArrowTable([{ id: 1n, text: "hello", vector: [1, 2] }], { schema }), + ); + }); + + afterEach(() => { + tmpDir.removeCallback(); + }); + + it.each([ + { + name: "filtered scan", + query: (table: Table) => table.query().where("id < 0"), + fields: ["id", "text", "vector"], + }, + { + name: "zero limit", + query: (table: Table) => table.query().limit(0), + fields: ["id", "text", "vector"], + }, + { + name: "column projection", + query: (table: Table) => + table.query().where("id < 0").select(["text", "id"]), + fields: ["text", "id"], + }, + { + name: "dynamic projection", + query: (table: Table) => + table.query().where("id < 0").select({ doubled: "id * 2" }), + fields: ["doubled"], + }, + { + name: "filtered vector search", + query: (table: Table) => + table.search([0.5, 0.5]).where("id < 0").limit(3), + fields: ["id", "text", "vector", "_distance"], + }, + { + name: "vector projection with row id", + query: (table: Table) => + table + .vectorSearch([0.5, 0.5]) + .where("id < 0") + .select(["id"]) + .withRowId(), + fields: ["id", "_distance", "_rowid"], + }, + { + name: "fast search without an index", + query: (table: Table) => table.search([0.5, 0.5]).fastSearch(), + fields: ["id", "text", "vector", "_rowid", "_distance"], + }, + { + name: "take with no offsets", + query: (table: Table) => table.takeOffsets([]).select(["text"]), + fields: ["text"], + }, + ])("preserves the output schema for $name", async ({ query, fields }) => { + const result = await query(table).toArrow({ maxBatchLength: 1 }); + + expect(result.numRows).toBe(0); + expect(result.schema.fields.map((field) => field.name)).toEqual(fields); + for (const name of fields) { + expect(result.getChild(name)).not.toBeNull(); + expect(result.getChild(name)?.length).toBe(0); + } + }); + + it("preserves types, nullability, and metadata", async () => { + const result = await table.query().where("id < 0").toArrow(); + const schema = await table.schema(); + + expect(result.schema).toEqual(schema); + expect(result.getChild("id")?.type.toString()).toBe("Int64"); + expect(result.schema.fields[0].nullable).toBe(false); + expect(result.schema.fields[1].metadata.get("description")).toBe( + "searchable text", + ); + expect(result.schema.metadata.get("source")).toBe("empty-query-regression"); + }); + + it("preserves the score column for full-text search with no matches", async () => { + await table.createIndex("text", { config: Index.fts() }); + const result = await table + .search("missing", "fts") + .select(["id"]) + .toArrow(); + + expect(result.numRows).toBe(0); + expect(result.schema.fields.map((field) => field.name)).toEqual([ + "id", + "_score", + ]); + expect(result.getChild("_score")?.type.toString()).toBe("Float32"); + }); +}); + describe("Search pagination", () => { let tmpDir: tmp.DirResult; let table: Table; diff --git a/nodejs/__test__/remote.test.ts b/nodejs/__test__/remote.test.ts index 898ba533e..5422945b6 100644 --- a/nodejs/__test__/remote.test.ts +++ b/nodejs/__test__/remote.test.ts @@ -14,6 +14,14 @@ import { TlsConfig, connect, } from "../lancedb"; +import { + Table as ArrowTable, + Field, + Int64, + RecordBatch, + Schema, + tableToIPC, +} from "../lancedb/arrow"; import { HeaderProvider, OAuthHeaderProvider, @@ -85,6 +93,66 @@ async function withMockDatabase( } describe("remote connection", () => { + it.each([false, true])( + "preserves an empty query's schema with an empty batch: %s", + async (withEmptyBatch) => { + const schema = new Schema( + [new Field("doubled", new Int64(), false)], + new Map([["source", "query-output"]]), + ); + const result = new ArrowTable( + schema, + withEmptyBatch ? [new RecordBatch(schema, undefined)] : [], + ); + const response = Buffer.from(tableToIPC(result, "stream")); + let queryRequests = 0; + + await withMockDatabase( + (req, res) => { + if (req.url?.endsWith("/describe/")) { + res.writeHead(200, { "Content-Type": "application/json" }).end( + JSON.stringify({ + name: "items", + version: 1, + schema: { + fields: [ + { name: "id", type: { type: "int64" }, nullable: false }, + ], + }, + }), + ); + } else if (req.url?.endsWith("/query/")) { + queryRequests++; + req.resume(); + req.on("end", () => { + res + .writeHead(200, { + "Content-Type": "application/vnd.apache.arrow.stream", + }) + .end(response); + }); + } else { + res.writeHead(404).end(); + } + }, + async (db) => { + const table = await db.openTable("items"); + const result = await table + .query() + .where("id < 0") + .select({ doubled: "id * 2" }) + .toArrow(); + + expect(result.numRows).toBe(0); + expect(result.schema).toEqual(schema); + expect(result.getChild("doubled")?.length).toBe(0); + }, + ); + + expect(queryRequests).toBe(1); + }, + ); + it("rejects the external blob opt-in without blocking regular adds", async () => { let insertRequests = 0; const describeRequests: string[] = []; diff --git a/nodejs/lancedb/query.ts b/nodejs/lancedb/query.ts index 75a787fcd..7c0dc9221 100644 --- a/nodejs/lancedb/query.ts +++ b/nodejs/lancedb/query.ts @@ -41,26 +41,6 @@ export async function* RecordBatchIterator( } } -class RecordBatchIterable< - NativeQueryType extends NativeQuery | NativeVectorQuery | NativeTakeQuery, -> implements AsyncIterable -{ - private inner: NativeQueryType; - private options?: QueryExecutionOptions; - - constructor(inner: NativeQueryType, options?: QueryExecutionOptions) { - this.inner = inner; - this.options = options; - } - - // biome-ignore lint/suspicious/noExplicitAny: skip - [Symbol.asyncIterator](): AsyncIterator, any, undefined> { - return RecordBatchIterator( - this.inner.execute(this.options?.maxBatchLength, this.options?.timeoutMs), - ); - } -} - /** * Options that control the behavior of a particular query execution */ @@ -271,13 +251,20 @@ export class QueryBase< return RecordBatchIterator(this.nativeExecute()); } - /** Collect the results as an Arrow @see {@link ArrowTable}. */ + /** + * Collect the results as an Arrow @see {@link ArrowTable}. + * + * Empty results retain the query's output schema. + */ async toArrow(options?: Partial): Promise { const batches = []; - const inner = await this.getInner(); - for await (const batch of new RecordBatchIterable(inner, options)) { + const iterator = this.nativeExecute(options); + for await (const batch of RecordBatchIterator(iterator)) { batches.push(batch); } + if (batches.length === 0) { + return tableFromIPC((await iterator).schema()); + } return new ArrowTable(batches); } diff --git a/nodejs/src/iterator.rs b/nodejs/src/iterator.rs index 8d65dfc3f..96d08c765 100644 --- a/nodejs/src/iterator.rs +++ b/nodejs/src/iterator.rs @@ -7,6 +7,8 @@ use lancedb::ipc::batches_to_ipc_file; use napi::bindgen_prelude::*; use napi_derive::napi; +use crate::util::schema_to_buffer; + /** Typescript-style Async Iterator over RecordBatches */ #[napi] pub struct RecordBatchIterator { @@ -19,6 +21,12 @@ impl RecordBatchIterator { Self { inner } } + /// Return the executed stream's output schema as an Arrow IPC file. + #[napi] + pub fn schema(&self) -> napi::Result { + schema_to_buffer(&self.inner.schema()) + } + #[napi(catch_unwind)] pub async unsafe fn next(&mut self) -> napi::Result> { if let Some(rst) = self.inner.next().await { From 8c2c39b3c423f90849327714742fd3a7ce83f7d8 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 05:57:56 -0500 Subject: [PATCH 08/25] fix(python): repair sync manifest path migration (#4422) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Fixes #4383 `LanceTable.migrate_v2_manifest_paths()` raised `AttributeError` because it called a nonexistent `AsyncTable.migrate_v2_manifest_paths()` method. Delegate to the existing async method, `migrate_manifest_paths_v2()`, while preserving the public sync API. Add a local regression test for tables starting with either v1 or v2 manifest paths. It checks repeated migration, v2 manifest filenames on disk, and preservation of data and version history after reopening the table. Validation: - Both new regression cases failed with the reported `AttributeError` before the fix. - `cd python && uv run --extra tests pytest python/tests/test_table.py::test_migrate_v2_manifest_paths python/tests/test_db.py::test_create_table_v2_manifest_paths_async -q` — 3 passed. - Repository-wide `ruff check .` and `ruff format .` passed using Ruff 0.15.20 from `python/uv.lock`. - `git diff --check` passed. Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- python/python/lancedb/table.py | 2 +- python/python/tests/test_table.py | 26 ++++++++++++++++++++++++++ 2 files changed, 27 insertions(+), 1 deletion(-) diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index 2bdd57fe9..5db789e39 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -4766,7 +4766,7 @@ class LanceTable(Table): [LanceTable.uses_v2_manifest_paths][lancedb.table.LanceTable.uses_v2_manifest_paths] to check if the table is already using the new path style. """ - LOOP.run(self._table.migrate_v2_manifest_paths()) + LOOP.run(self._table.migrate_manifest_paths_v2()) @deprecation.deprecated( deprecated_in="0.33.1", diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py index fa1a494b0..2fe6bc6ff 100644 --- a/python/python/tests/test_table.py +++ b/python/python/tests/test_table.py @@ -113,6 +113,32 @@ def test_basic(mem_db: DBConnection): assert table.to_arrow() == expected_data +@pytest.mark.parametrize("enable_v2", [False, True]) +def test_migrate_v2_manifest_paths(tmp_path, enable_v2): + db = lancedb.connect( + tmp_path, + storage_options={"new_table_enable_v2_manifest_paths": str(enable_v2).lower()}, + ) + table = db.create_table("calls", [{"id": 1, "vector": [1.0, 1.0]}]) + table.add([{"id": 2, "vector": [2.0, 2.0]}]) + expected_data = table.to_arrow() + expected_versions = table.list_versions() + assert table.uses_v2_manifest_paths() == enable_v2 + + # Migration is also safe to repeat on a table already using v2 paths. + for _ in range(2): + table.migrate_v2_manifest_paths() + assert table.uses_v2_manifest_paths() + reopened = db.open_table("calls") + assert reopened.uses_v2_manifest_paths() + assert reopened.to_arrow() == expected_data + assert reopened.list_versions() == expected_versions + + manifests = list((tmp_path / "calls.lance" / "_versions").glob("*.manifest")) + assert len(manifests) == len(expected_versions) + assert all(len(path.stem) == 20 and path.stem.isdigit() for path in manifests) + + def test_search_preserves_nulls_from_sliced_arrow_table(mem_db: DBConnection): data = pa.table( { From 6851133a7ca536f14227fb9931bdaa7076f87f50 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 06:02:55 -0500 Subject: [PATCH 09/25] fix(python): serialize deprecated v2 manifest option (#4420) Local synchronous `create_table(..., enable_v2_manifest_paths=True/False)` failed with `TypeError` because the deprecated argument was forwarded as a boolean in `storage_options`, while the Rust binding expects string values. Convert the argument to lowercase `"true"` or `"false"` before forwarding it, preserving the deprecation warning. Add regression coverage for both values with populated and schema-only tables, checking stored data and the manifest mode after reopening. Validation: - All four regression cases reproduced the original `TypeError` before the fix and pass afterward. - `uv run --no-sync --extra tests --extra dev pytest python/tests/test_db.py -q --tb=short -m 'not slow and not s3_test'`: 54 passed. - Repository-wide `ruff format .` and `ruff check .` completed successfully. Fixes #4384 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- python/python/lancedb/table.py | 4 ++-- python/python/tests/test_db.py | 21 +++++++++++++++++++++ 2 files changed, 23 insertions(+), 2 deletions(-) diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index 5db789e39..605e79cd5 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -4332,9 +4332,9 @@ class LanceTable(Table): ) if storage_options is None: storage_options = {} - storage_options["new_table_enable_v2_manifest_paths"] = ( + storage_options["new_table_enable_v2_manifest_paths"] = str( enable_v2_manifest_paths - ) + ).lower() self._table = LOOP.run( self._conn._conn.create_table( diff --git a/python/python/tests/test_db.py b/python/python/tests/test_db.py index 29f02c09e..df5be5a6d 100644 --- a/python/python/tests/test_db.py +++ b/python/python/tests/test_db.py @@ -539,6 +539,27 @@ async def test_create_exist_ok_async(tmp_db_async: lancedb.AsyncConnection): # await db.create_table("test", schema=bad_schema, exist_ok=True) +@pytest.mark.parametrize("enable_v2_manifest_paths", [False, True]) +@pytest.mark.parametrize("empty", [False, True]) +def test_create_table_deprecated_v2_manifest_paths( + tmp_path, enable_v2_manifest_paths, empty +): + db = lancedb.connect(tmp_path) + data = None if empty else [{"id": 1}] + + with pytest.warns(DeprecationWarning, match="enable_v2_manifest_paths"): + table = db.create_table( + "test", + data=data, + schema=pa.schema([("id", pa.int64())]), + enable_v2_manifest_paths=enable_v2_manifest_paths, + ) + + assert table.uses_v2_manifest_paths() == enable_v2_manifest_paths + assert table.to_arrow().to_pylist() == ([] if empty else data) + assert db.open_table("test").uses_v2_manifest_paths() == enable_v2_manifest_paths + + @pytest.mark.asyncio async def test_create_table_v2_manifest_paths_async(tmp_path): db_with_v2_paths = await lancedb.connect_async( From 57a952135b63d7143af6f4dcb0675e221e3a8b32 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 06:04:29 -0500 Subject: [PATCH 10/25] fix(python): support async search without a query (#4419) `AsyncTable.search()` and `search(None)` reached vector search without assigning `vector_query`, raising `UnboundLocalError` on both local and remote tables. Return a plain `AsyncQuery` before inferring the search type, equivalent to `table.query()`, and update the overloads and documentation to describe that return value. Add six regression cases for omitted and explicit `None` queries on local tables with and without vectors and on a mocked remote endpoint. They verify scans, limits, filters, column projection, and the remote request body. Validation: all six regressions reproduced the original `UnboundLocalError`; all 11 focused query tests pass with the fix, including existing vector, full-text, hybrid, and sync scan coverage. The uv development bootstrap, locked Ruff formatting/lint checks, and focused Pyright return-type assertions also pass. Fixes #4385 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- python/python/lancedb/table.py | 34 +++++++++++++++------- python/python/tests/test_query.py | 22 ++++++++++++++ python/python/tests/test_remote_db.py | 42 ++++++++++++++++++++++++++- 3 files changed, 86 insertions(+), 12 deletions(-) diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index 605e79cd5..c1489b9af 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -6107,7 +6107,17 @@ class AsyncTable: @overload async def search( self, - query: Optional[str] = None, + query: None = None, + vector_column_name: Optional[str] = None, + query_type: QueryType = "auto", + ordering_field_name: Optional[str] = None, + fts_columns: Optional[Union[str, List[str]]] = None, + ) -> AsyncQuery: ... + + @overload + async def search( + self, + query: str, vector_column_name: Optional[str] = None, query_type: Literal["auto"] = ..., ordering_field_name: Optional[str] = None, @@ -6117,7 +6127,7 @@ class AsyncTable: @overload async def search( self, - query: Optional[str] = None, + query: str, vector_column_name: Optional[str] = None, query_type: Literal["hybrid"] = ..., ordering_field_name: Optional[str] = None, @@ -6127,7 +6137,7 @@ class AsyncTable: @overload async def search( self, - query: Optional[Union[VEC, "PIL.Image.Image", Tuple]] = None, + query: Union[VEC, "PIL.Image.Image", Tuple], vector_column_name: Optional[str] = None, query_type: Literal["auto"] = ..., ordering_field_name: Optional[str] = None, @@ -6137,7 +6147,7 @@ class AsyncTable: @overload async def search( self, - query: Optional[str] = None, + query: str, vector_column_name: Optional[str] = None, query_type: Literal["fts"] = ..., ordering_field_name: Optional[str] = None, @@ -6147,9 +6157,7 @@ class AsyncTable: @overload async def search( self, - query: Optional[ - Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery] - ] = None, + query: Union[VEC, str, "PIL.Image.Image", Tuple, FullTextQuery], vector_column_name: Optional[str] = None, query_type: Literal["vector"] = ..., ordering_field_name: Optional[str] = None, @@ -6165,7 +6173,7 @@ class AsyncTable: query_type: QueryType = "auto", ordering_field_name: Optional[str] = None, fts_columns: Optional[Union[str, List[str]]] = None, - ) -> Union[AsyncHybridQuery, AsyncFTSQuery, AsyncVectorQuery]: + ) -> Union[AsyncQuery, AsyncHybridQuery, AsyncFTSQuery, AsyncVectorQuery]: """Create a search query to find the nearest neighbors of the given query vector. We currently support [vector search](https://lancedb.com/docs/search/vector-search/) and [full-text search](https://lancedb.com/docs/search/full-text-search/). @@ -6180,8 +6188,9 @@ class AsyncTable: - *default None*. Acceptable types are: list, np.ndarray, PIL.Image.Image - - If None then the select/where/limit clauses are applied to filter - the table + - If None then a plain [AsyncQuery][lancedb.query.AsyncQuery] is + returned, equivalent to calling [query][lancedb.table.AsyncTable.query]. + The select/where/limit clauses are applied to filter the table. vector_column_name: str, optional The name of the vector column to search. @@ -6209,10 +6218,13 @@ class AsyncTable: Returns ------- - LanceQueryBuilder + AsyncQuery, AsyncHybridQuery, AsyncFTSQuery, or AsyncVectorQuery A query builder object representing the query. """ + if query is None: + return self.query() + def is_embedding(query): return isinstance(query, (list, np.ndarray, pa.Array, pa.ChunkedArray)) diff --git a/python/python/tests/test_query.py b/python/python/tests/test_query.py index e3d55917d..6c59a9010 100644 --- a/python/python/tests/test_query.py +++ b/python/python/tests/test_query.py @@ -24,6 +24,7 @@ from lancedb.pydantic import LanceModel, Vector from lancedb.query import ( AsyncFTSQuery, AsyncHybridQuery, + AsyncQuery, AsyncQueryBase, AsyncVectorQuery, ColumnOrdering, @@ -1279,6 +1280,27 @@ async def test_query_to_polars_async(table_async: AsyncTable): assert df.shape == (0, num_columns) +@pytest.mark.asyncio +@pytest.mark.parametrize("search_kwargs", [{}, {"query": None}]) +@pytest.mark.parametrize("with_vector", [False, True]) +async def test_async_search_without_query(mem_db_async, search_kwargs, with_vector): + data = [{"id": i} for i in range(10)] + if with_vector: + for row in data: + row["vector"] = [float(row["id"]), 1.0] + table = await mem_db_async.create_table("test", data) + + query = await table.search(**search_kwargs) + assert isinstance(query, AsyncQuery) + assert await query.limit(3).to_arrow() == await table.query().limit(3).to_arrow() + + query = await table.search(**search_kwargs) + assert await query.where("id >= 8").select(["id"]).limit(3).to_list() == [ + {"id": 8}, + {"id": 9}, + ] + + @pytest.mark.asyncio async def test_none_query(table_async: AsyncTable): with pytest.raises(ValueError): diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index 7810fd281..fb88afd40 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -17,7 +17,7 @@ from packaging.version import Version import lancedb from lancedb.conftest import MockTextEmbeddingFunction -from lancedb.query import ColumnOrdering +from lancedb.query import AsyncQuery, ColumnOrdering from lancedb.remote import ClientConfig from lancedb.remote.errors import HttpError, RetryError import pytest @@ -1521,6 +1521,46 @@ def test_query_sync_empty_query(): assert data == expected +@pytest.mark.asyncio +@pytest.mark.parametrize("search_kwargs", [{}, {"query": None}]) +async def test_async_search_without_query(search_kwargs): + expected = pa.table({"id": [7, 8, 9]}) + + def handler(request): + if request.path == "/v1/table/test/describe/": + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"version": 1, "schema": {"fields": []}}') + elif request.path == "/v1/table/test/query/": + body = json.loads( + request.rfile.read(int(request.headers["Content-Length"])) + ) + assert body == { + "k": 3, + "filter": "id >= 7", + "vector": [], + "columns": ["id"], + "prefilter": True, + "version": None, + } + request.send_response(200) + request.send_header("Content-Type", "application/vnd.apache.arrow.file") + request.end_headers() + with pa.ipc.new_file(request.wfile, schema=expected.schema) as writer: + writer.write_table(expected) + else: + request.send_response(404) + request.end_headers() + + async with mock_lancedb_connection_async(handler) as db: + table = await db.open_table("test") + query = await table.search(**search_kwargs) + assert isinstance(query, AsyncQuery) + result = await query.where("id >= 7").select(["id"]).limit(3).to_arrow() + assert result == expected + + def test_query_sync_maximal(): def handler(body): assert body == { From de19ecbf63ce4724b47741b1a1b2ba636a9811e1 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 06:15:15 -0500 Subject: [PATCH 11/25] fix: reject empty column alterations and unknown Python keys (#4417) Fixes #4390 Lance accepts column alterations with every change field unset, so a path-only Python call could commit a new local version without changing the schema. The Python binding also silently discarded unknown keys such as `nulable`. Validate every alteration in the shared Rust `Table` API before dispatching to either backend, and reject unknown dictionary keys in the Python binding while preserving the legacy `name` alias. Invalid batches leave local schema and version unchanged and send no remote request. Validation: - Reproduced both reported calls on the original extension: versions advanced from 1 to 2 to 3 with an unchanged schema; all 13 new invalid-input Python cases failed before the fix. - Rebuilt the extension with `uv run --extra tests --extra dev maturin develop --extras tests,dev`; all 18 focused Python cases pass across sync/async and local/mocked remote tables. - `cargo test --quiet --features remote -p lancedb --lib alter_column`: all eight tests pass, including both new regressions. - `cargo clippy --quiet --features remote --tests --examples` passes across the workspace. - `cargo fmt --all`, `ruff check .`, and `ruff format .` pass. - `typos` 1.26.0 passes across the repository; intentional misspellings in regression fixtures use the existing line-specific spelling exemptions. --------- Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- python/python/lancedb/table.py | 8 +++ python/python/tests/test_remote_db.py | 71 ++++++++++++++++++++++ python/python/tests/test_table.py | 69 +++++++++++++++++++-- python/src/table.rs | 11 ++++ rust/lancedb/src/remote/table.rs | 19 ++++++ rust/lancedb/src/table.rs | 19 +++++- rust/lancedb/src/table/schema_evolution.rs | 23 +++++++ 7 files changed, 215 insertions(+), 5 deletions(-) diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index c1489b9af..9d951f559 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -2617,6 +2617,10 @@ class Table(ABC): to nullable. Currently, you cannot change a nullable column to non-nullable. + Each alteration must specify at least one of "rename", "data_type", + or "nullable". The legacy key "name" is also accepted for renaming. + Unknown keys raise ValueError before any alterations are applied. + Returns ------- AlterColumnsResult @@ -6874,6 +6878,10 @@ class AsyncTable: to nullable. Currently, you cannot change a nullable column to non-nullable. + Each alteration must specify at least one of "rename", "data_type", + or "nullable". The legacy key "name" is also accepted for renaming. + Unknown keys raise ValueError before any alterations are applied. + Returns ------- AlterColumnsResult diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index fb88afd40..47f1f866e 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -119,6 +119,77 @@ async def test_async_remote_db(): assert table_names == [] +@pytest.mark.parametrize( + "alteration, match", + [ + ({"path": "id"}, "One of rename, nullable or data_type"), + ( + {"path": "id", "nulable": False}, # spellchecker:disable-line + "Unknown column alteration key 'nulable'", # spellchecker:disable-line + ), + ( + { + "path": "id", + "rename": "new_id", + "nulable": False, # spellchecker:disable-line + }, + "Unknown column alteration key 'nulable'", # spellchecker:disable-line + ), + ], +) +def test_remote_alter_columns_rejects_invalid_before_request(alteration, match): + requests = [] + + def handler(request): + requests.append(request.path) + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"version": 1, "schema": {"fields": []}}') + + with mock_lancedb_connection(handler) as db: + table = db.open_table("test") + requests.clear() + + with pytest.raises(ValueError, match=match): + table.alter_columns(alteration) + + assert requests == [] + + +@pytest.mark.asyncio +@pytest.mark.parametrize( + "alteration, match", + [ + ({"path": "id"}, "One of rename, nullable or data_type"), + ( + {"path": "id", "nulable": False}, # spellchecker:disable-line + "Unknown column alteration key 'nulable'", # spellchecker:disable-line + ), + ], +) +async def test_async_remote_alter_columns_rejects_invalid_before_request( + alteration, match +): + requests = [] + + def handler(request): + requests.append(request.path) + request.send_response(200) + request.send_header("Content-Type", "application/json") + request.end_headers() + request.wfile.write(b'{"version": 1, "schema": {"fields": []}}') + + async with mock_lancedb_connection_async(handler) as db: + table = await db.open_table("test") + requests.clear() + + with pytest.raises(ValueError, match=match): + await table.alter_columns(alteration) + + assert requests == [] + + @pytest.mark.asyncio async def test_async_checkout(): def handler(request): diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py index 2fe6bc6ff..0c12c5c20 100644 --- a/python/python/tests/test_table.py +++ b/python/python/tests/test_table.py @@ -4170,14 +4170,74 @@ async def test_add_columns_with_schema(mem_db_async: AsyncConnection): ) -def test_alter_columns(mem_db: DBConnection): +@pytest.mark.parametrize("rename_key", ["rename", "name"]) +def test_alter_columns(mem_db: DBConnection, rename_key): data = pa.table({"id": [0, 1]}) table = mem_db.create_table("my_table", data=data) - alter_columns_res = table.alter_columns({"path": "id", "rename": "new_id"}) + alter_columns_res = table.alter_columns({"path": "id", rename_key: "new_id"}) assert alter_columns_res.version == 2 assert table.to_arrow().column_names == ["new_id"] +INVALID_COLUMN_ALTERATIONS = [ + (({"path": "id"},), "One of rename, nullable or data_type"), + ( + ({"path": "id", "nulable": False},), # spellchecker:disable-line + "Unknown column alteration key 'nulable'", # spellchecker:disable-line + ), + ( + ( + { + "path": "id", + "rename": "new_id", + "nulable": False, # spellchecker:disable-line + }, + ), + "Unknown column alteration key 'nulable'", # spellchecker:disable-line + ), + ( + ({"path": "id", "rename": "new_id"}, {"path": "id"}), + "One of rename, nullable or data_type", + ), +] + + +def test_alter_columns_nullable_false(mem_db: DBConnection): + table = mem_db.create_table("my_table", data=pa.table({"id": [0, 1]})) + result = table.alter_columns({"path": "id", "nullable": False}) + assert result.version == 2 + assert not table.schema.field("id").nullable + + +@pytest.mark.parametrize("alterations, match", INVALID_COLUMN_ALTERATIONS) +def test_alter_columns_rejects_invalid(mem_db: DBConnection, alterations, match): + table = mem_db.create_table("my_table", data=pa.table({"id": [0, 1]})) + initial_version = table.version + initial_schema = table.schema + + with pytest.raises(ValueError, match=match): + table.alter_columns(*alterations) + + assert table.version == initial_version + assert table.schema == initial_schema + + +@pytest.mark.asyncio +@pytest.mark.parametrize("alterations, match", INVALID_COLUMN_ALTERATIONS) +async def test_alter_columns_rejects_invalid_async( + mem_db_async: AsyncConnection, alterations, match +): + table = await mem_db_async.create_table("my_table", data=pa.table({"id": [0, 1]})) + initial_version = await table.version() + initial_schema = await table.schema() + + with pytest.raises(ValueError, match=match): + await table.alter_columns(*alterations) + + assert await table.version() == initial_version + assert await table.schema() == initial_schema + + def test_update_field_metadata(mem_db: DBConnection): data = pa.table({"id": [0, 1], "category": ["a", "b"]}) table = mem_db.create_table("my_table", data=data) @@ -4203,10 +4263,11 @@ def test_update_field_metadata(mem_db: DBConnection): @pytest.mark.asyncio -async def test_alter_columns_async(mem_db_async: AsyncConnection): +@pytest.mark.parametrize("rename_key", ["rename", "name"]) +async def test_alter_columns_async(mem_db_async: AsyncConnection, rename_key): data = pa.table({"id": [0, 1]}) table = await mem_db_async.create_table("my_table", data=data) - alter_columns_res = await table.alter_columns({"path": "id", "rename": "new_id"}) + alter_columns_res = await table.alter_columns({"path": "id", rename_key: "new_id"}) assert alter_columns_res.version == 2 assert (await table.to_arrow()).column_names == ["new_id"] alter_columns_res = await table.alter_columns( diff --git a/python/src/table.rs b/python/src/table.rs index e7b6f1c6f..d7519bdab 100644 --- a/python/src/table.rs +++ b/python/src/table.rs @@ -1897,6 +1897,17 @@ impl Table { let alterations = alterations .iter() .map(|alteration| { + for key in alteration.keys().iter() { + let key = key.extract::()?; + if !matches!( + key.as_str(), + "path" | "rename" | "name" | "nullable" | "data_type" + ) { + return Err(PyValueError::new_err(format!( + "Unknown column alteration key '{key}'" + ))); + } + } let path = alteration .get_item("path")? .ok_or_else(|| PyValueError::new_err("Missing path"))? diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index d43bab9db..74f4b70ef 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -4694,6 +4694,25 @@ mod tests { assert_eq!(result.rows_updated, if old_server { 0 } else { 5 }); } + #[tokio::test] + async fn test_alter_columns_rejects_missing_changes_before_request() { + let table = Table::new_with_handler::("my_table", |request| { + panic!("Unexpected request: {}", request.url().path()) + }); + + for alterations in [ + vec![ColumnAlteration::new("id".into())], + vec![ + ColumnAlteration::new("id".into()).rename("new_id".into()), + ColumnAlteration::new("id".into()), + ], + ] { + let err = table.alter_columns(&alterations).await.unwrap_err(); + assert!(matches!(err, Error::InvalidInput { .. }), "got {err:?}"); + assert!(err.to_string().contains("path 'id'")); + } + } + #[rstest] #[case(true)] #[case(false)] diff --git a/rust/lancedb/src/table.rs b/rust/lancedb/src/table.rs index a99f086ef..a95d8ddf3 100644 --- a/rust/lancedb/src/table.rs +++ b/rust/lancedb/src/table.rs @@ -1919,11 +1919,28 @@ impl Table { self.inner.function_errors(&request).await } - /// Change a column's name or nullability. + /// Change a column's name, data type, or nullability. + /// + /// Each alteration must specify at least one of `rename`, `data_type`, or + /// `nullable`. Returns [`Error::InvalidInput`] before applying any changes + /// if an alteration does not specify any of these fields. pub async fn alter_columns( &self, alterations: &[ColumnAlteration], ) -> Result { + for alteration in alterations { + if alteration.rename.is_none() + && alteration.nullable.is_none() + && alteration.data_type.is_none() + { + return Err(Error::InvalidInput { + message: format!( + "One of rename, nullable or data_type must be specified for path '{}'", + alteration.path + ), + }); + } + } self.inner.alter_columns(alterations).await } diff --git a/rust/lancedb/src/table/schema_evolution.rs b/rust/lancedb/src/table/schema_evolution.rs index 4d0e2815d..4990901ae 100644 --- a/rust/lancedb/src/table/schema_evolution.rs +++ b/rust/lancedb/src/table/schema_evolution.rs @@ -807,6 +807,29 @@ mod tests { // Alter Columns Tests + #[tokio::test] + async fn test_alter_columns_rejects_missing_changes() { + let conn = connect("memory://").execute().await.unwrap(); + let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap(); + let table = conn.create_table("test", batch).execute().await.unwrap(); + let initial_version = table.version().await.unwrap(); + let initial_schema = table.schema().await.unwrap(); + + for alterations in [ + vec![ColumnAlteration::new("id".into())], + vec![ + ColumnAlteration::new("id".into()).rename("new_id".into()), + ColumnAlteration::new("id".into()), + ], + ] { + let err = table.alter_columns(&alterations).await.unwrap_err(); + assert!(matches!(err, Error::InvalidInput { .. }), "got {err:?}"); + assert!(err.to_string().contains("path 'id'")); + assert_eq!(table.version().await.unwrap(), initial_version); + assert_eq!(table.schema().await.unwrap(), initial_schema); + } + } + #[tokio::test] async fn test_alter_column_rename() { let conn = connect("memory://").execute().await.unwrap(); From 9c3e1cbae7223853d97774e417b5089b9c6f2d27 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 06:16:31 -0500 Subject: [PATCH 12/25] fix: reject cloning onto an existing local table (#4416) Local `clone_table` passed existing targets to Lance's clone transaction, which entered the manifest-update path and failed with `Clone operation should not enter build_manifest`. Check the target dataset using the connection's storage options and session before cloning, and return `TableAlreadyExists` when it exists. Propagate other read errors. Add regression coverage for cloning onto the source itself and onto a different existing table, with both manifest layouts, verifying that rows and version histories remain unchanged. Validation: - All four regression cases reproduced the reported internal error before the fix. - `cargo test --locked --quiet --profile ci --features remote -p lancedb --lib test_clone -j 12`: 24 passed. - `cargo fmt --all -- --check` and `git diff --check` passed. - `cargo clippy --locked --quiet --profile ci --features remote -p lancedb --tests --examples -j 12` passed. Fixes #4387 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- rust/lancedb/src/connection.rs | 58 ++++++++++++++++++++++++++++ rust/lancedb/src/database/listing.rs | 16 +++++++- 2 files changed, 73 insertions(+), 1 deletion(-) diff --git a/rust/lancedb/src/connection.rs b/rust/lancedb/src/connection.rs index 985195c07..1d0a4a0ab 100644 --- a/rust/lancedb/src/connection.rs +++ b/rust/lancedb/src/connection.rs @@ -568,6 +568,7 @@ impl Connection { /// Creates a new table by cloning from an existing source table. /// By default, this performs a shallow clone where the new table shares /// the underlying data files with the source table. + /// The target table name must be unused. An existing table is left unchanged. /// /// # Parameters /// - `target_table_name`: The name of the new table to create @@ -2193,6 +2194,63 @@ mod tests { assert_eq!(tables.len(), 0); } + #[rstest::rstest] + #[tokio::test] + async fn test_clone_table_target_already_exists( + #[values("source", "target")] target: &str, + #[values(false, true)] enable_v2_manifest_paths: bool, + ) { + use crate::query::ExecutableQuery; + use futures::TryStreamExt; + + let tmp_dir = tempdir().unwrap(); + let options = ListingDatabaseOptions::builder() + .enable_v2_manifest_paths(enable_v2_manifest_paths) + .build(); + let db = connect(tmp_dir.path().to_str().unwrap()) + .database_options(&options) + .execute() + .await + .unwrap(); + let source_data = arrow_array::record_batch!(("id", Int32, [0, 1, 2])).unwrap(); + let target_data = arrow_array::record_batch!(("id", Int32, [10, 11])).unwrap(); + db.create_table("source", source_data.clone()) + .execute() + .await + .unwrap(); + db.create_table("target", target_data.clone()) + .execute() + .await + .unwrap(); + + let source_uri = tmp_dir.path().join("source.lance"); + let err = db + .clone_table(target, source_uri.to_str().unwrap()) + .execute() + .await + .unwrap_err(); + assert!( + matches!(&err, Error::TableAlreadyExists { name } if name == target), + "unexpected clone error: {err:?}" + ); + + // Reopen both tables to verify that the failed clone left their data and versions intact. + for (name, expected_data) in [("source", source_data), ("target", target_data)] { + let table = db.open_table(name).execute().await.unwrap(); + assert_eq!(table.version().await.unwrap(), 1); + assert_eq!(table.list_versions().await.unwrap().len(), 1); + let batches = table + .query() + .execute() + .await + .unwrap() + .try_collect::>() + .await + .unwrap(); + assert_eq!(batches, vec![expected_data]); + } + } + #[tokio::test] async fn test_clone_table() { let tmp_dir = tempdir().unwrap(); diff --git a/rust/lancedb/src/database/listing.rs b/rust/lancedb/src/database/listing.rs index dc1627116..8255fef4b 100644 --- a/rust/lancedb/src/database/listing.rs +++ b/rust/lancedb/src/database/listing.rs @@ -1107,6 +1107,21 @@ impl Database for ListingDatabase { ..Default::default() }; + let target_uri = self.table_uri(&request.target_table_name)?; + match DatasetBuilder::from_uri(&target_uri) + .with_read_params(read_params.clone()) + .load() + .await + { + Ok(_) => { + return Err(Error::TableAlreadyExists { + name: request.target_table_name, + }); + } + Err(lance::Error::DatasetNotFound { .. }) => {} + Err(err) => return Err(err.into()), + } + let mut source_dataset = DatasetBuilder::from_uri(&request.source_uri) .with_read_params(read_params.clone()) .load() @@ -1122,7 +1137,6 @@ impl Database for ListingDatabase { }), }?; - let target_uri = self.table_uri(&request.target_table_name)?; source_dataset .shallow_clone(&target_uri, version_ref, Some(storage_params)) .await From 0be3ae960eb39b43faad5685cd381c5126a305c5 Mon Sep 17 00:00:00 2001 From: Chi-Wei Lee Date: Sat, 3 Oct 2026 23:12:29 +0800 Subject: [PATCH 13/25] fix(python): support exist_ok in local create_table (#4421) Synchronous local Python `create_table` callers using `mode="exist_ok"` received `ValueError` instead of creating or opening a table. Related to [#2900](https://github.com/lancedb/lancedb/issues/2900). The local wrapper rejected this mode before the shared Rust parser could validate it. Removing that guard delegates mode validation to the parser, and the sync and async docs now describe `exist_ok`. Remote option gaps and the TypeScript table type gap remain outside this change. The added tests retain both calls from [@wjones127's comment](https://github.com/lancedb/lancedb/issues/2900#issuecomment-5964167206). This builds on the code @wjones127 posted there. Three regression tests fail before the change, pass after it, fail with the original `db.py` restored, then pass again on HEAD. Tested on Linux x86_64 with Python 3.14.7. From the Python directory, `uv run --no-sync --extra tests --extra dev python -m pytest python/tests/test_db.py -q` reports 53 passed. `uv run --no-sync --extra tests --extra dev python -m pytest python/tests -q -rs -m "not slow and not s3_test"` reports 1428 passed, 34 skipped, 68 deselected, and one failure: the existing `test_get_lsm_write_spec`, also failing on clean base (1425 passed, one failed). Ruff 0.9.9 `ruff format --check .` and `ruff check .` pass. Tests used worktree Python code with the released `lancedb==0.40.0b12` native wheel. No native source build was run. Co-authored-by: Will Jones --- python/python/lancedb/db.py | 10 +++++----- python/python/tests/test_db.py | 34 ++++++++++++++++++++++++++++++++++ 2 files changed, 39 insertions(+), 5 deletions(-) diff --git a/python/python/lancedb/db.py b/python/python/lancedb/db.py index 330514484..1af3c1b4a 100644 --- a/python/python/lancedb/db.py +++ b/python/python/lancedb/db.py @@ -409,9 +409,10 @@ class DBConnection(EnforceOverrides): - [LanceModel][lancedb.pydantic.LanceModel] mode: str; default "create" The mode to use when creating the table. - Can be either "create" or "overwrite". + Can be "create", "overwrite", or "exist_ok". By default, if the table already exists, an exception is raised. If you want to overwrite the table, use mode="overwrite". + To open an existing table without adding data, use mode="exist_ok". exist_ok: bool, default False If a table by the same name already exists, then raise an exception if exist_ok=False. If exist_ok=True, then open the existing table; @@ -1546,8 +1547,6 @@ class LanceDBConnection(DBConnection): """ if namespace_path is None: namespace_path = [] - if mode.lower() not in ["create", "overwrite"]: - raise ValueError("mode must be either 'create' or 'overwrite'") validate_table_name(name) tbl = LanceTable.create( @@ -2350,11 +2349,12 @@ class AsyncConnection(object): - pyarrow.Schema - [LanceModel][lancedb.pydantic.LanceModel] - mode: Literal["create", "overwrite"]; default "create" + mode: Literal["create", "overwrite", "exist_ok"]; default "create" The mode to use when creating the table. - Can be either "create" or "overwrite". + Can be "create", "overwrite", or "exist_ok". By default, if the table already exists, an exception is raised. If you want to overwrite the table, use mode="overwrite". + To open an existing table without adding data, use mode="exist_ok". exist_ok: bool, default False If a table by the same name already exists, then raise an exception if exist_ok=False. If exist_ok=True, then open the existing table; diff --git a/python/python/tests/test_db.py b/python/python/tests/test_db.py index df5be5a6d..ebd86bdc3 100644 --- a/python/python/tests/test_db.py +++ b/python/python/tests/test_db.py @@ -351,6 +351,40 @@ async def test_create_table_from_iterator_async(mem_db_async: lancedb.AsyncConne assert await table.count_rows() == 10 +def test_create_exist_ok_mode(tmp_db: lancedb.DBConnection): + db = tmp_db + data = [{"vector": [1.1, 1.2]}, {"vector": [0.2, 1.8]}] + table = db.create_table("t1", data, mode="exist_ok") + assert table.count_rows() == 2 + original = table.to_arrow() + + reopened = db.create_table("t1", [{"vector": [9.0, 8.0]}], mode="exist_ok") + assert reopened.to_arrow().equals(original) + + +def test_create_empty_exist_ok_mode(tmp_db: lancedb.DBConnection): + schema = pa.schema([pa.field("id", pa.int64())]) + table = tmp_db.create_table("empty", schema=schema, mode="exist_ok") + assert table.schema == schema + assert table.count_rows() == 0 + table.add([{"id": 7}]) + + reopened = tmp_db.create_table("empty", schema=schema, mode="exist_ok") + assert reopened.to_arrow().to_pylist() == [{"id": 7}] + + bad_schema = pa.schema([pa.field("other", pa.int64())]) + with pytest.raises(ValueError): + tmp_db.create_table("empty", schema=bad_schema, mode="exist_ok") + + +def test_create_table_invalid_mode(tmp_db: lancedb.DBConnection): + db = tmp_db + data = [{"vector": [1.1, 1.2]}, {"vector": [0.2, 1.8]}] + with pytest.raises(ValueError, match="Invalid mode bogus"): + db.create_table("tb", data, mode="bogus") + assert "tb" not in db + + def test_create_exist_ok(tmp_db: lancedb.DBConnection): from conftest import pandas_string_type From 3e0a1a87806b049e64c20173a49a95f16b86aec7 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 21:29:47 -0700 Subject: [PATCH 14/25] fix: reject zero vector search probes across SDKs (#4418) `nprobes(0)` bypassed the validation used by the minimum and maximum probe setters, allowing zero into query requests and producing inconsistent local and remote results. Sync Python could additionally interpret the zero maximum as an unbounded search. Reject zero in the Rust vector-query builder and propagate its input error through the Python vector/hybrid and Node bindings. Validate nonpositive counts in the sync Python vector and hybrid builders so every SDK and backend reports `nprobes must be greater than 0` before execution. Update the Rust examples and document the positive-count requirement. Regression tests cover local and remote vector/hybrid builders, rejection before remote query requests, promised TypeScript query vectors, and positive counts replacing both probe bounds. Validation: - Rust probe regression tests: 2 passed. - Focused Python query, remote, hybrid, and serialization tests: 22 passed. The four sync regression cases fail with the original setters. - Focused TypeScript indexed local and mocked remote tests: 2 passed. - Workspace `cargo check --features remote --tests --examples` and Clippy passed. - Rust formatting, Python formatting/lint, and TypeScript build/lint/docs passed. Repository-wide `ruff check .` reports 29 existing errors in unchanged CI scripts; `ruff check python` passes. Fixes #4388 BREAKING CHANGE: Rust `VectorQuery::nprobes` now returns `Result` instead of `Self`; callers must handle the result, as with the existing minimum/maximum probe setters. Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- docs/src/js/classes/VectorQuery.md | 2 ++ nodejs/__test__/remote.test.ts | 32 ++++++++++++++++++ nodejs/__test__/table.test.ts | 6 ++++ nodejs/lancedb/query.ts | 2 ++ nodejs/src/query.rs | 9 +++-- python/python/lancedb/query.py | 10 ++++-- python/python/tests/test_query.py | 25 ++++++++++++++ python/python/tests/test_remote_db.py | 47 +++++++++++++++++++++++++++ python/src/query.rs | 9 ++--- rust/lancedb/examples/ivf_pq.rs | 2 +- rust/lancedb/src/query.rs | 37 +++++++++++++++++++-- rust/lancedb/src/remote/table.rs | 17 ++++++++++ rust/lancedb/src/table.rs | 1 + 13 files changed, 188 insertions(+), 11 deletions(-) diff --git a/docs/src/js/classes/VectorQuery.md b/docs/src/js/classes/VectorQuery.md index f49963d60..a0a77fd7c 100644 --- a/docs/src/js/classes/VectorQuery.md +++ b/docs/src/js/classes/VectorQuery.md @@ -447,6 +447,8 @@ nprobes(nprobes): VectorQuery Set the number of partitions to search (probe) +The number of probes must be greater than 0. + This argument is only used when the vector column has an IVF PQ index. If there is no index then this value is ignored. diff --git a/nodejs/__test__/remote.test.ts b/nodejs/__test__/remote.test.ts index 5422945b6..ec259b79b 100644 --- a/nodejs/__test__/remote.test.ts +++ b/nodejs/__test__/remote.test.ts @@ -93,6 +93,38 @@ async function withMockDatabase( } describe("remote connection", () => { + it("rejects nprobes(0) before sending a query", async () => { + const requests: string[] = []; + await withMockDatabase( + (req, res) => { + requests.push(req.url ?? ""); + if (req.url === "/v1/table/test/describe/") { + res + .writeHead(200, { "Content-Type": "application/json" }) + .end(JSON.stringify({ version: 1, schema: { fields: [] } })); + } else { + res.writeHead(404).end(); + } + }, + async (db) => { + const table = await db.openTable("test"); + expect(() => table.vectorSearch([0, 0]).nprobes(0)).toThrow( + "Invalid input, nprobes must be greater than 0", + ); + expect(() => + table.query().nearestTo([0, 0]).fullTextSearch("dog").nprobes(0), + ).toThrow("Invalid input, nprobes must be greater than 0"); + await expect( + table + .vectorSearch(Promise.resolve([0, 0])) + .nprobes(0) + .toArrow(), + ).rejects.toThrow("Invalid input, nprobes must be greater than 0"); + }, + ); + expect(requests).toEqual(["/v1/table/test/describe/"]); + }); + it.each([false, true])( "preserves an empty query's schema with an empty batch: %s", async (withEmptyBatch) => { diff --git a/nodejs/__test__/table.test.ts b/nodejs/__test__/table.test.ts index eaf59211c..c17b0315a 100644 --- a/nodejs/__test__/table.test.ts +++ b/nodejs/__test__/table.test.ts @@ -1211,6 +1211,12 @@ describe("When creating an index", () => { .toArrow(); expect(rst.numRows).toBe(2); + expect(() => tbl.vectorSearch(queryVec).nprobes(0)).toThrow( + "Invalid input, nprobes must be greater than 0", + ); + expect(() => + tbl.query().nearestTo(queryVec).fullTextSearch("dog").nprobes(0), + ).toThrow("Invalid input, nprobes must be greater than 0"); expect(() => tbl.query().nearestTo(queryVec).minimumNprobes(0)).toThrow( "Invalid input, minimum_nprobes must be greater than 0", ); diff --git a/nodejs/lancedb/query.ts b/nodejs/lancedb/query.ts index 7c0dc9221..f370e1b31 100644 --- a/nodejs/lancedb/query.ts +++ b/nodejs/lancedb/query.ts @@ -519,6 +519,8 @@ export class VectorQuery extends StandardQueryBase { /** * Set the number of partitions to search (probe) * + * The number of probes must be greater than 0. + * * This argument is only used when the vector column has an IVF PQ index. * If there is no index then this value is ignored. * diff --git a/nodejs/src/query.rs b/nodejs/src/query.rs index f542fe856..712569b2f 100644 --- a/nodejs/src/query.rs +++ b/nodejs/src/query.rs @@ -289,8 +289,13 @@ impl VectorQuery { } #[napi] - pub fn nprobes(&mut self, nprobe: u32) { - self.inner = self.inner.clone().nprobes(nprobe as usize); + pub fn nprobes(&mut self, nprobe: u32) -> napi::Result<()> { + self.inner = self + .inner + .clone() + .nprobes(nprobe as usize) + .default_error()?; + Ok(()) } #[napi] diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py index db213ac71..d135dd1d9 100644 --- a/python/python/lancedb/query.py +++ b/python/python/lancedb/query.py @@ -1693,13 +1693,15 @@ class LanceVectorQueryBuilder(LanceQueryBuilder): Parameters ---------- nprobes: int - The number of probes to use. + The number of probes to use. Must be greater than 0. Returns ------- LanceVectorQueryBuilder The LanceQueryBuilder object. """ + if nprobes <= 0: + raise ValueError("Invalid input, nprobes must be greater than 0") self._minimum_nprobes = nprobes self._maximum_nprobes = nprobes return self @@ -2495,13 +2497,15 @@ class LanceHybridQueryBuilder(LanceQueryBuilder): Parameters ---------- nprobes: int - The number of probes to use. + The number of probes to use. Must be greater than 0. Returns ------- LanceHybridQueryBuilder The LanceHybridQueryBuilder object. """ + if nprobes <= 0: + raise ValueError("Invalid input, nprobes must be greater than 0") self._minimum_nprobes = nprobes self._maximum_nprobes = nprobes return self @@ -3654,6 +3658,8 @@ class AsyncVectorQueryBase: """ Set the number of partitions to search (probe) + The number of probes must be greater than 0. + This argument is only used when the vector column has an IVF-based index. If there is no index then this value is ignored. diff --git a/python/python/tests/test_query.py b/python/python/tests/test_query.py index 6c59a9010..20c0f3a1e 100644 --- a/python/python/tests/test_query.py +++ b/python/python/tests/test_query.py @@ -975,6 +975,19 @@ def test_query_builder_with_filter(table): assert all(np.array(rs[0]["vector"]) == [3, 4]) +@pytest.mark.parametrize("query_type", ["vector", "hybrid"]) +@pytest.mark.parametrize("nprobes", [0, -1]) +def test_nprobes_nonpositive_sync(table, query_type, nprobes): + if query_type == "hybrid": + query = table.search(query_type="hybrid").vector([0, 0]).text("a") + else: + query = table.search([0, 0]) + with pytest.raises( + ValueError, match="^Invalid input, nprobes must be greater than 0$" + ): + query.nprobes(nprobes) + + def test_invalid_nprobes_sync(table): with pytest.raises(ValueError, match="minimum_nprobes must be greater than 0"): LanceVectorQueryBuilder(table, [0, 0], "vector").minimum_nprobes(0).to_list() @@ -1006,6 +1019,18 @@ def test_multiple_nprobes_calls_works_sync(table): ).minimum_nprobes(20).to_list() +@pytest.mark.asyncio +@pytest.mark.parametrize("hybrid", [False, True]) +async def test_nprobes_zero_async(table_async: AsyncTable, hybrid): + query = table_async.query().nearest_to([0, 0]) + if hybrid: + query = query.nearest_to_text("dog") + with pytest.raises( + ValueError, match="^Invalid input, nprobes must be greater than 0$" + ): + query.nprobes(0) + + @pytest.mark.asyncio async def test_invalid_nprobes_async(table_async: AsyncTable): with pytest.raises(ValueError, match="minimum_nprobes must be greater than 0"): diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index 47f1f866e..0dcfbe9a9 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -1692,6 +1692,53 @@ def test_query_sync_maximal(): ) +@pytest.mark.parametrize("hybrid", [False, True]) +def test_query_sync_nprobes_zero(hybrid): + query_requests = [] + + def handler(body): + query_requests.append(body) + return pa.table({"id": []}) + + with query_test_table(handler) as table: + if hybrid: + query = table.search(query_type="hybrid").vector([1, 2, 3]).text("dog") + else: + query = table.search([1, 2, 3]) + with pytest.raises( + ValueError, match="^Invalid input, nprobes must be greater than 0$" + ): + query.nprobes(0) + + assert query_requests == [] + + +@pytest.mark.asyncio +@pytest.mark.parametrize("hybrid", [False, True]) +async def test_query_async_nprobes_zero(hybrid): + requests = [] + + def handler(request): + requests.append(request.path) + if request.path == "/v1/table/test/describe/": + send_json(request, {"version": 1, "schema": {"fields": []}}) + else: + request.send_response(404) + request.end_headers() + + async with mock_lancedb_connection_async(handler) as db: + table = await db.open_table("test") + query = table.query().nearest_to([1, 2, 3]) + if hybrid: + query = query.nearest_to_text("dog") + with pytest.raises( + ValueError, match="^Invalid input, nprobes must be greater than 0$" + ): + query.nprobes(0) + + assert requests == ["/v1/table/test/describe/"] + + def test_query_sync_nprobes(): def handler(body): assert body == { diff --git a/python/src/query.rs b/python/src/query.rs index 3a4737ee0..1079fb314 100644 --- a/python/src/query.rs +++ b/python/src/query.rs @@ -995,8 +995,9 @@ impl VectorQuery { self.inner = self.inner.clone().refine_factor(refine_factor); } - pub fn nprobes(&mut self, nprobe: u32) { - self.inner = self.inner.clone().nprobes(nprobe as usize); + pub fn nprobes(&mut self, nprobe: u32) -> PyResult<()> { + self.inner = self.inner.clone().nprobes(nprobe as usize).infer_error()?; + Ok(()) } pub fn minimum_nprobes(&mut self, minimum_nprobes: u32) -> PyResult<()> { @@ -1188,8 +1189,8 @@ impl HybridQuery { self.inner_vec.refine_factor(refine_factor); } - pub fn nprobes(&mut self, nprobe: u32) { - self.inner_vec.nprobes(nprobe); + pub fn nprobes(&mut self, nprobe: u32) -> PyResult<()> { + self.inner_vec.nprobes(nprobe) } pub fn ef(&mut self, ef: u32) { diff --git a/rust/lancedb/examples/ivf_pq.rs b/rust/lancedb/examples/ivf_pq.rs index 79f674615..b457558ba 100644 --- a/rust/lancedb/examples/ivf_pq.rs +++ b/rust/lancedb/examples/ivf_pq.rs @@ -142,7 +142,7 @@ async fn search_index(table: &Table) -> Result<()> { // Override the default of 10 to get more rows .limit(15) // Override the default of 20 to search more partitions - .nprobes(30) + .nprobes(30)? // Override the default of None to apply a refine step .refine_factor(1) .execute() diff --git a/rust/lancedb/src/query.rs b/rust/lancedb/src/query.rs index c8b19f013..fffb703fb 100644 --- a/rust/lancedb/src/query.rs +++ b/rust/lancedb/src/query.rs @@ -1252,10 +1252,17 @@ impl VectorQuery { /// This method sets both the minimum and maximum number of partitions to search. /// For more fine-grained control see [`VectorQuery::minimum_nprobes`] and /// [`VectorQuery::maximum_nprobes`]. - pub fn nprobes(mut self, nprobes: usize) -> Self { + /// + /// Returns an error if `nprobes` is not greater than 0. + pub fn nprobes(mut self, nprobes: usize) -> Result { + if nprobes == 0 { + return Err(Error::InvalidInput { + message: "nprobes must be greater than 0".to_string(), + }); + } self.request.minimum_nprobes = nprobes; self.request.maximum_nprobes = Some(nprobes); - self + Ok(self) } /// Set the minimum number of partitions to search @@ -2361,6 +2368,7 @@ mod tests { .nearest_to(&[9.8, 8.7]) .unwrap() .nprobes(1000) + .unwrap() .postfilter() .distance_type(DistanceType::Cosine) .approx_mode(ApproxMode::Accurate) @@ -2386,6 +2394,31 @@ mod tests { assert_eq!(query.request.refine_factor, Some(999)); } + #[tokio::test] + async fn test_nprobes_validation() { + let conn = connect("memory://").execute().await.unwrap(); + let table = conn + .create_table("my_table", make_test_batches()) + .execute() + .await + .unwrap(); + let query = table.query().nearest_to(&[0.1, 0.2]).unwrap(); + + assert!(matches!( + query.clone().nprobes(0), + Err(Error::InvalidInput { message }) if message == "nprobes must be greater than 0" + )); + + // Fixed probe counts replace both bounds, even when moving below or + // above the previous range. + let mut query = query; + for nprobes in [30, 1, 50] { + query = query.nprobes(nprobes).unwrap(); + assert_eq!(query.request.minimum_nprobes, nprobes); + assert_eq!(query.request.maximum_nprobes, Some(nprobes)); + } + } + #[test] fn test_approx_mode_serde_parse_default_and_display() { assert_eq!(ApproxMode::default(), ApproxMode::Normal); diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index 74f4b70ef..5756d7788 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -6060,6 +6060,22 @@ mod tests { assert_eq!(data[0].as_ref().unwrap(), &expected_data); } + #[tokio::test] + async fn test_query_vector_nprobes_zero() { + let table = Table::new_with_handler::<&str>("my_table", |_| { + panic!("invalid nprobes must be rejected before sending a request") + }); + let result = table + .query() + .nearest_to(vec![0.1, 0.2, 0.3]) + .unwrap() + .nprobes(0); + assert!(matches!( + result, + Err(Error::InvalidInput { message }) if message == "nprobes must be greater than 0" + )); + } + #[tokio::test] async fn test_query_vector_all_params() { let table = Table::new_with_handler("my_table", |request| { @@ -6133,6 +6149,7 @@ mod tests { .postfilter() .distance_type(crate::DistanceType::Cosine) .nprobes(12) + .unwrap() .refine_factor(2) .bypass_vector_index() .execute() diff --git a/rust/lancedb/src/table.rs b/rust/lancedb/src/table.rs index a95d8ddf3..ea6e512fd 100644 --- a/rust/lancedb/src/table.rs +++ b/rust/lancedb/src/table.rs @@ -1674,6 +1674,7 @@ impl Table { /// .unwrap() /// .refine_factor(5) /// .nprobes(10) + /// .unwrap() /// .execute() /// .await /// .unwrap(); From 7f5933594f42eeeec1ce73a7ce8e0cd0113cbd82 Mon Sep 17 00:00:00 2001 From: "lancedb-gatefixer[bot]" <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> Date: Sat, 3 Oct 2026 21:30:13 -0700 Subject: [PATCH 15/25] fix(python): reject empty query vectors before column inference (#4415) Empty list and NumPy vector queries were validated too late: local search inferred a vector column first, producing misleading schema errors, while remote search indexed `vector[0]` and raised `IndexError`. Add a shared empty-vector check before column inference and query creation, and validate direct vector-builder inputs. Local and remote sync search now raise `ValueError: Query vector must not be empty` for these inputs. Validation: - All 26 new regression cases failed on the original code and pass with the fix, covering list/NumPy inputs, automatic/explicit vector search, inferred/explicit column names, one/two local vector columns, and remote search before query submission. - After merging current `main`, all 32 focused cases passed, covering these regressions and upstream async searches without a query. - The query, table, remote, utility, hybrid-query, and database suites passed in the rebuilt uv environment: 541 passed, 1 skipped, 1 slow test deselected. - `ruff check .`, `ruff format .`, and `cargo fmt --all` passed from the repository root. Fixes #4389 Co-authored-by: Gatefixer <313497061+lancedb-gatefixer[bot]@users.noreply.github.com> --- python/python/lancedb/query.py | 6 +++++- python/python/lancedb/util.py | 11 +++++++++++ python/python/tests/test_query.py | 6 ++++++ python/python/tests/test_remote_db.py | 15 +++++++++++++++ python/python/tests/test_table.py | 18 ++++++++++++++++++ 5 files changed, 55 insertions(+), 1 deletion(-) diff --git a/python/python/lancedb/query.py b/python/python/lancedb/query.py index d135dd1d9..b210c6497 100644 --- a/python/python/lancedb/query.py +++ b/python/python/lancedb/query.py @@ -40,7 +40,7 @@ from .rerankers.base import Reranker from .rerankers.rrf import RRFReranker from .rerankers.util import check_reranker_result from .schema import is_blob_like_field, schema_has_blob_field -from .util import flatten_columns +from .util import _validate_query_vector, flatten_columns from . import _wal_hybrid # WAL-PK-FUSION: delete. from ._blob import ( BLOB_MODE_TO_HANDLING, @@ -907,6 +907,9 @@ class LanceQueryBuilder(ABC): fast_search: bool Skip flat search of unindexed data. """ + if query_type != "fts": + _validate_query_vector(query) + if ordering_field_name is not None: import warnings @@ -1619,6 +1622,7 @@ class LanceVectorQueryBuilder(LanceQueryBuilder): str_query: Optional[str] = None, fast_search: bool = None, ): + _validate_query_vector(query) super().__init__(table) self._query = query self._distance_type = None diff --git a/python/python/lancedb/util.py b/python/python/lancedb/util.py index 3cf5460a5..3a6a8a102 100644 --- a/python/python/lancedb/util.py +++ b/python/python/lancedb/util.py @@ -280,6 +280,14 @@ def infer_vector_column_dim(data_type: pa.DataType) -> Optional[int]: return None +def _validate_query_vector(query: Any) -> None: + """Reject empty vector inputs before vector-column inference or execution.""" + if (isinstance(query, list) and not query) or ( + isinstance(query, np.ndarray) and query.size == 0 + ): + raise ValueError("Query vector must not be empty") + + def _query_vector_dim(query: Optional[Any]) -> Optional[int]: if query is None: return None @@ -301,6 +309,9 @@ def infer_vector_column_name( query: Optional[Any], # inferred later in query builder vector_column_name: Optional[str], ): + if query_type != "fts": + _validate_query_vector(query) + if vector_column_name is not None: return vector_column_name diff --git a/python/python/tests/test_query.py b/python/python/tests/test_query.py index 20c0f3a1e..d3fedbcc8 100644 --- a/python/python/tests/test_query.py +++ b/python/python/tests/test_query.py @@ -2138,6 +2138,12 @@ def test_ensure_vector_query_nested_empty_list(): ensure_vector_query([[]]) +@pytest.mark.parametrize("query", [[], np.array([], dtype=np.float32)]) +def test_vector_query_builder_empty_vector(table, query): + with pytest.raises(ValueError, match="^Query vector must not be empty$"): + LanceVectorQueryBuilder(table, query, "vector") + + def test_fast_search(tmp_path): db = lancedb.connect(tmp_path) diff --git a/python/python/tests/test_remote_db.py b/python/python/tests/test_remote_db.py index 0dcfbe9a9..a9e411a3b 100644 --- a/python/python/tests/test_remote_db.py +++ b/python/python/tests/test_remote_db.py @@ -16,6 +16,7 @@ import uuid from packaging.version import Version import lancedb +import numpy as np from lancedb.conftest import MockTextEmbeddingFunction from lancedb.query import AsyncQuery, ColumnOrdering from lancedb.remote import ClientConfig @@ -1592,6 +1593,20 @@ def test_query_sync_empty_query(): assert data == expected +@pytest.mark.parametrize("query", [[], np.array([], dtype=np.float32)]) +@pytest.mark.parametrize("vector_column_name", [None, "vector"]) +@pytest.mark.parametrize("query_type", ["auto", "vector"]) +def test_query_sync_empty_vector(query, vector_column_name, query_type): + def handler(body): + pytest.fail("An empty query vector must be rejected before sending a query") + + with query_test_table(handler) as table: + with pytest.raises(ValueError, match="^Query vector must not be empty$"): + table.search( + query, vector_column_name=vector_column_name, query_type=query_type + ).limit(3).to_arrow() + + @pytest.mark.asyncio @pytest.mark.parametrize("search_kwargs", [{}, {"query": None}]) async def test_async_search_without_query(search_kwargs): diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py index 0c12c5c20..e5ee3c3a2 100644 --- a/python/python/tests/test_table.py +++ b/python/python/tests/test_table.py @@ -3777,6 +3777,24 @@ def test_empty_query(mem_db: DBConnection): assert df.num_rows == 42 +@pytest.mark.parametrize("query", [[], np.array([], dtype=np.float32)]) +@pytest.mark.parametrize("vector_column_name", [None, "vector"]) +@pytest.mark.parametrize("query_type", ["auto", "vector"]) +@pytest.mark.parametrize("multiple_vector_columns", [False, True]) +def test_search_empty_vector( + mem_db, query, vector_column_name, query_type, multiple_vector_columns +): + fields = [pa.field("vector", pa.list_(pa.float32(), 8))] + if multiple_vector_columns: + fields.append(pa.field("vec2", pa.list_(pa.float32(), 4))) + table = mem_db.create_table("empty_vector_query", schema=pa.schema(fields)) + + with pytest.raises(ValueError, match="^Query vector must not be empty$"): + table.search( + query, vector_column_name=vector_column_name, query_type=query_type + ).limit(3).to_arrow() + + def test_search_with_schema_inf_single_vector(mem_db: DBConnection): class MyTable(LanceModel): text: str From 61a285f590cadd7270b3ae4c13531b77671e0ee9 Mon Sep 17 00:00:00 2001 From: Xuanwo Date: Mon, 5 Oct 2026 14:34:32 +0800 Subject: [PATCH 16/25] fix: preserve Function dependency errors in column operations (#4434) Function column declarations and refreshes can return HTTP 404 when the referenced Function has been deleted. The SDK currently translates those responses into `TableNotFound`, hiding the server diagnostic and making an existing table appear missing. Preserve the HTTP error, status, and request ID for these two operations while retaining schema-cache invalidation. Ordinary table operations keep their existing `TableNotFound` behavior. --- rust/lancedb/src/remote/table.rs | 83 ++++++++++++++++++++++++++++++-- 1 file changed, 80 insertions(+), 3 deletions(-) diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index 5756d7788..898681fa7 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -3523,7 +3523,12 @@ impl BaseTable for RemoteTable { let (request_id, response) = self .send_with_freshness(request, true, freshness_request) .await?; - let response = self.check_table_response(&request_id, response).await?; + // A Function declaration can return 404 for the Function rather than the table. + let response = self + .client + .check_response(&request_id, response) + .await + .inspect_err(|error| self.handle_error_invalidation(error))?; let body = response.text().await.err_to_http(request_id.clone())?; if body.trim().is_empty() { @@ -3563,7 +3568,12 @@ impl BaseTable for RemoteTable { .post(&format!("/v1/table/{}/backfill_column", self.identifier)) .json(&body); let (request_id, response) = self.send(request, true).await?; - let response = self.check_table_response(&request_id, response).await?; + // Preserve dependency errors: a deleted bound Function also returns 404. + let response = self + .client + .check_response(&request_id, response) + .await + .inspect_err(|error| self.handle_error_invalidation(error))?; let body = response.text().await.err_to_http(request_id.clone())?; #[derive(serde::Deserialize)] @@ -4057,7 +4067,7 @@ mod tests { )) }; - // All endpoints should translate 404 to TableNotFound. + // These table operations should translate 404 to TableNotFound. let results: Vec>> = vec![ Box::pin(table.version().map_ok(|_| ())), Box::pin(table.schema().map_ok(|_| ())), @@ -8793,6 +8803,73 @@ mod tests { ); } + #[rstest] + #[case(false, "Function is unavailable")] + #[case(true, "Function name was not found")] + #[tokio::test] + async fn test_function_column_operations_preserve_dependency_not_found( + #[case] declare_column: bool, + #[case] message: &'static str, + ) { + let schema_requests = Arc::new(AtomicUsize::new(0)); + let requests = schema_requests.clone(); + let table = Table::new_with_handler("my_table", move |request| { + match request.url().path() { + "/v1/table/my_table/describe/" => { + requests.fetch_add(1, Ordering::SeqCst); + http::Response::builder() + .status(200) + .body( + r#"{"version":1,"schema":{"fields":[{"name":"description","nullable":true,"type":{"type":"string"}}]}}"#.to_string(), + ) + .unwrap() + } + "/v1/table/my_table/backfill_column" | "/v1/table/my_table/add_columns/" => { + http::Response::builder() + .status(404) + .body(json!({"code": 4, "error": message}).to_string()) + .unwrap() + } + path => panic!("unexpected request: {path}"), + } + }); + table.schema().await.unwrap(); + assert_eq!(schema_requests.load(Ordering::SeqCst), 1); + + let error = if declare_column { + let fixture: serde_json::Value = serde_json::from_str(include_str!( + "../../tests/fixtures/first_class_functions/v1/remote_fixed_size_declaration_request.json" + )) + .unwrap(); + let application = crate::function::FunctionApplication::from_json( + &fixture["function"]["application"].to_string(), + ) + .unwrap(); + table + .add_columns() + .function_as("embedding", application) + .execute() + .await + .unwrap_err() + } else { + table.refresh_column_async("embedding").await.unwrap_err() + }; + let Error::Http { + source, + status_code, + request_id, + } = error + else { + panic!("dependency 404 was misclassified: {error:?}"); + }; + assert_eq!(status_code, Some(StatusCode::NOT_FOUND)); + assert!(source.to_string().contains(message)); + assert!(!request_id.is_empty()); + + table.schema().await.unwrap(); + assert_eq!(schema_requests.load(Ordering::SeqCst), 2); + } + /// The error listing is table-addressed with optional job and column /// filters, mirroring the server's SQL surface, and the two non-record /// signals come back as their own fields rather than as rows. From 5f0bb98e90b091abdf3bc6bd19396fe070e10df9 Mon Sep 17 00:00:00 2001 From: Aviral Saxena Date: Mon, 5 Oct 2026 23:45:46 +0530 Subject: [PATCH 17/25] fix(python): use exact integer math for list_versions timestamps (#4426) Refs #4404. AsyncTable.list_versions split the nanosecond timestamp with float division/modulo (`ts // 1e9`, `ts % 1e9`). At ~1.8e18 a float can't hold every integer, so the microseconds drifted (.274000 came back as .273999). Use `divmod(ts, 1_000_000_000)` and integer // 1000 instead. Only the precision fix is included here. Timezone-aware UTC (option 1 in #4404) is on hold for now, and I can add it here or in a follow-up depending on what they prefer. Added test_list_versions_timestamp_precision using the value from the issue (1790989429274000000), expecting microsecond == 274000. --- python/python/lancedb/table.py | 8 +++-- python/python/tests/test_table.py | 57 +++++++++++++++++++++++++++++++ 2 files changed, 62 insertions(+), 3 deletions(-) diff --git a/python/python/lancedb/table.py b/python/python/lancedb/table.py index 9d951f559..11ca7de84 100644 --- a/python/python/lancedb/table.py +++ b/python/python/lancedb/table.py @@ -6925,9 +6925,11 @@ class AsyncTable: """ versions = await self._inner.list_versions() for v in versions: - ts_nanos = v["timestamp"] - v["timestamp"] = datetime.fromtimestamp(ts_nanos // 1e9) + timedelta( - microseconds=(ts_nanos % 1e9) // 1e3 + # Use integer math: float division on ~1e18 nanosecond + # values loses sub-millisecond precision. + seconds, nanos = divmod(v["timestamp"], 1_000_000_000) + v["timestamp"] = datetime.fromtimestamp(seconds) + timedelta( + microseconds=nanos // 1000 ) return versions diff --git a/python/python/tests/test_table.py b/python/python/tests/test_table.py index e5ee3c3a2..64f4f4ce9 100644 --- a/python/python/tests/test_table.py +++ b/python/python/tests/test_table.py @@ -993,6 +993,63 @@ def test_polars(mem_db: DBConnection): assert len(filtered_result) == 2 +@pytest.mark.asyncio +async def test_list_versions_timestamp_precision(): + # 2026-10-03T01:03:49.274Z in nanoseconds. Float math turns .274000 into + # .273999, so make sure the conversion is exact. + ts_nanos = 1790989429274000000 + + class FakeInner: + async def list_versions(self): + return [{"version": 1, "timestamp": ts_nanos, "metadata": {}}] + + table = table_module.AsyncTable(FakeInner()) + versions = await table.list_versions() + + expected = datetime.fromtimestamp(ts_nanos // 1_000_000_000) + assert versions[0]["timestamp"] == expected + timedelta(microseconds=274000) + assert versions[0]["timestamp"].microsecond == 274000 + + +def test_list_versions_timestamp_precision_sync(mem_db: DBConnection): + # The sync LanceTable.list_versions delegates to AsyncTable.list_versions, + # which is the path the parity report hit. + ts_nanos = 1790989429274000000 + + class FakeInner: + async def list_versions(self): + return [{"version": 1, "timestamp": ts_nanos, "metadata": {}}] + + table = mem_db.create_table("ts_precision", data=[{"id": 1}]) + table._table = table_module.AsyncTable(FakeInner()) + versions = table.list_versions() + + expected = datetime.fromtimestamp(ts_nanos // 1_000_000_000) + assert versions[0]["timestamp"] == expected + timedelta(microseconds=274000) + assert versions[0]["timestamp"].microsecond == 274000 + + +def test_list_versions_timestamp_precision_remote(): + # RemoteTable.list_versions also delegates to AsyncTable.list_versions. + from lancedb.remote.table import RemoteTable + + ts_nanos = 1790989429274000000 + + class FakeInner: + def name(self): + return "ts_precision" + + async def list_versions(self): + return [{"version": 1, "timestamp": ts_nanos, "metadata": {}}] + + table = RemoteTable(table_module.AsyncTable(FakeInner()), "dev") + versions = table.list_versions() + + expected = datetime.fromtimestamp(ts_nanos // 1_000_000_000) + assert versions[0]["timestamp"] == expected + timedelta(microseconds=274000) + assert versions[0]["timestamp"].microsecond == 274000 + + def test_versioning(mem_db: DBConnection): table = mem_db.create_table( "test", From 11b679a2db37fb37b6c73c571e5d6ff51c163be1 Mon Sep 17 00:00:00 2001 From: Will Jones Date: Mon, 5 Oct 2026 12:25:47 -0700 Subject: [PATCH 18/25] ci: add critical fixes section to release notes (#4361) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Adds a "🚨 Critical Fixes" section to the release notes, directly below Highlights, for PRs labeled `critical-fix`. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-authored-by: Claude Opus 5.5 --- .github/release_notes.json | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/.github/release_notes.json b/.github/release_notes.json index a97860698..6593ef66a 100644 --- a/.github/release_notes.json +++ b/.github/release_notes.json @@ -6,6 +6,10 @@ "title": "## 🏆 Highlights", "labels": ["highlight"] }, + { + "title": "## 🚨 Critical Fixes", + "labels": ["critical-fix"] + }, { "title": "## 🛠 Breaking Changes", "labels": ["breaking-change"] @@ -38,4 +42,4 @@ "labels": ["ci"] } ] -} \ No newline at end of file +} From a68c7be20254928be02186ca2fe9b62141d84755 Mon Sep 17 00:00:00 2001 From: Will Jones Date: Mon, 5 Oct 2026 12:35:00 -0700 Subject: [PATCH 19/25] feat(node): accept ArrayBuffer, Blob/File, and URL as blob column inputs (#4313) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Closes #4270. ## Summary Blob v2 columns now accept more of the containers TypeScript code commonly has, both as the column value and inside `{ data }` / `{ uri }`: | Input | Handling | |---|---| | `ArrayBuffer` | `new Uint8Array(value)`, no copy | | `URL` | stored as `value.href` | | `Blob` / `File` | `await value.arrayBuffer()` in the async write paths: `createTable`, `add`, `mergeInsert` | `makeArrowTable` is synchronous, so it can't read a `Blob`. Given one, it throws an error that names the field and row and points to the async APIs or `new Uint8Array(await value.arrayBuffer())`. It does not write a null blob. ### Types `BlobInput` is now the accepted input type. It is widened to the types above and exported from the package entry point with `BlobData` and `BlobUri`, so callers can annotate rows and `tsc` catches bad inputs. The struct forms are a union that requires exactly one of `data` / `uri`. The old normalized `{ data, uri }` shape is renamed to `BlobValue` (internal). ### Implementation - `blob.ts`: `normalizeBlobInput` (sync: `ArrayBuffer`/`URL`), `resolveBlobInput` (async: `Blob`/`File`). `coerceBlobValue` normalizes first. - `arrow.ts`: `mapBlobInputs` walks only the blob positions in the schema, including blobs nested in structs and lists. It copies records and arrays only where a value changed, so caller data is never mutated. `resolveBlobInputs` runs before `makeArrowTable` in `convertToTable` (used by `add` / `mergeInsert`) and in `createTable`. Each distinct `Blob` is read once. - `makeArrowTable` now coerces every blob value to the full `{ data, uri }` struct **before** schema inference. This also fixes two bugs that existed before this change: - Rows mixing plain bytes with `{ data }` failed inference. - A `{ uri }`-only struct produced a blob struct missing its `data` child. Blob validation errors now include the field path and row. - Also fixed along the way: - `add` / `mergeInsert` on a table with an embedding function rejected most blob values, because `ensureNestedFieldsExist` filled blob columns in like ordinary structs. It now skips them. - With a schema, a struct field that is `null` in one row and a record in a later row failed inference. Primitives and arrays given for a struct field are now rejected instead of being written as an all-null struct. - Blob structs with keys other than `data` / `uri` are rejected, which catches typos. Class instances with `data` / `uri` are handled like plain objects. ## Testing - Unit tests in `__test__/blob.test.ts`: coercion of the new types, rejection and error messages for `Blob` in the sync path, nested lists and structs, `resolveBlobInputs` (only blob columns touched, caller data untouched, shared `Blob` read once). - Table tests in `__test__/table.test.ts`: - `createTable`, `add`, and `mergeInsert` round-trip `ArrayBuffer` / `Blob` / `File` bytes through `fetchBlobs`. - `URL` and `{ uri: URL }` are added to the external-blob round-trip test from #4317 (`allowExternalBlobOutsideBases`). - Full `jest` suite passes locally after the rebase (938 passed). `pnpm lint` is clean and `pnpm run docs` has been regenerated. Streaming inputs (`ReadableStream`, Node `Readable`, async iterables) remain out of scope, as the issue says. 🤖 Generated with [Claude Code](https://claude.com/claude-code) https://claude.ai/code/session_012U4KdHofT5edv3LcXHXbLv --------- Co-authored-by: Claude --- docs/src/js/globals.md | 3 + docs/src/js/type-aliases/BlobData.md | 16 ++ docs/src/js/type-aliases/BlobInput.md | 36 +++ docs/src/js/type-aliases/BlobUri.md | 13 + nodejs/__test__/arrow.test.ts | 37 +++ nodejs/__test__/blob.test.ts | 329 +++++++++++++++++++++++++- nodejs/__test__/table.test.ts | 62 ++++- nodejs/lancedb/arrow.ts | 184 +++++++++++++- nodejs/lancedb/blob.ts | 173 +++++++++++++- nodejs/lancedb/connection.ts | 7 +- nodejs/lancedb/index.ts | 9 +- nodejs/lancedb/schema.ts | 48 +++- 12 files changed, 879 insertions(+), 38 deletions(-) create mode 100644 docs/src/js/type-aliases/BlobData.md create mode 100644 docs/src/js/type-aliases/BlobInput.md create mode 100644 docs/src/js/type-aliases/BlobUri.md diff --git a/docs/src/js/globals.md b/docs/src/js/globals.md index edb0bacc3..0c48ad4ec 100644 --- a/docs/src/js/globals.md +++ b/docs/src/js/globals.md @@ -157,9 +157,12 @@ - [AnalyzePlanDistributedMetrics](type-aliases/AnalyzePlanDistributedMetrics.md) - [BaseTokenizer](type-aliases/BaseTokenizer.md) +- [BlobData](type-aliases/BlobData.md) +- [BlobInput](type-aliases/BlobInput.md) - [BlobOptions](type-aliases/BlobOptions.md) - [BlobRange](type-aliases/BlobRange.md) - [BlobReadOptions](type-aliases/BlobReadOptions.md) +- [BlobUri](type-aliases/BlobUri.md) - [Data](type-aliases/Data.md) - [DataLike](type-aliases/DataLike.md) - [DataTypeLike](type-aliases/DataTypeLike.md) diff --git a/docs/src/js/type-aliases/BlobData.md b/docs/src/js/type-aliases/BlobData.md new file mode 100644 index 000000000..2af0a3659 --- /dev/null +++ b/docs/src/js/type-aliases/BlobData.md @@ -0,0 +1,16 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / BlobData + +# Type Alias: BlobData + +```ts +type BlobData: Buffer | Uint8Array | ArrayBuffer | Blob; +``` + +Bytes accepted for a blob value. `ArrayBuffer` is wrapped without copying. +`Blob` and `File` are read with `arrayBuffer()`, which only the async write +paths ([Connection.createTable](../classes/Connection.md#createtable), [Table.add](../classes/Table.md#add), +[Table.mergeInsert](../classes/Table.md#mergeinsert)) can do. diff --git a/docs/src/js/type-aliases/BlobInput.md b/docs/src/js/type-aliases/BlobInput.md new file mode 100644 index 000000000..d1738a760 --- /dev/null +++ b/docs/src/js/type-aliases/BlobInput.md @@ -0,0 +1,36 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / BlobInput + +# Type Alias: BlobInput + +```ts +type BlobInput: + | BlobData + | BlobUri + | object + | object + | null + | undefined; +``` + +A value accepted for a `lance.blob.v2` column (see [blob](../functions/blob.md)). + +Either inline bytes, a URI pointing at external bytes, or a struct that sets +exactly one of `data` or `uri`. `null` and `undefined` write a null blob. + +## Example + +```ts +import { pathToFileURL } from "node:url"; +import type { BlobInput } from "@lancedb/lancedb"; + +const rows: { id: bigint; image: BlobInput }[] = [ + { id: 1n, image: await (await fetch(url)).arrayBuffer() }, + { id: 2n, image: pathToFileURL("/data/cat.png") }, + { id: 3n, image: { data: new Blob(["hello"]) } }, +]; +await table.add(rows); +``` diff --git a/docs/src/js/type-aliases/BlobUri.md b/docs/src/js/type-aliases/BlobUri.md new file mode 100644 index 000000000..a90b395fc --- /dev/null +++ b/docs/src/js/type-aliases/BlobUri.md @@ -0,0 +1,13 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / BlobUri + +# Type Alias: BlobUri + +```ts +type BlobUri: string | URL; +``` + +A URI accepted for a blob value. A `URL` is stored as its `href`. diff --git a/nodejs/__test__/arrow.test.ts b/nodejs/__test__/arrow.test.ts index e054a5495..376533961 100644 --- a/nodejs/__test__/arrow.test.ts +++ b/nodejs/__test__/arrow.test.ts @@ -790,6 +790,43 @@ describe.each(arrowVersions)("Arrow %#", (arrow: ApacheArrow) => { } }); + it("will allow null values around struct values with a schema", function () { + const schema = new Schema([ + new Field("value", new Struct([new Field("nested", new Int32())])), + ]); + for (const { records, nullIndex } of [ + { + records: [{ value: null }, { value: { nested: 2 } }], + nullIndex: 0, + }, + { + records: [{ value: { nested: 1 } }, { value: null }], + nullIndex: 1, + }, + ]) { + const table = makeArrowTable(records, { schema }); + const values = table.getChild("value"); + + expect(values?.nullCount).toBe(1); + expect(values?.get(nullIndex)).toBeNull(); + } + }); + + it("will reject non-object values for struct fields in a schema", function () { + const schema = new Schema([ + new Field("value", new Struct([new Field("nested", new Int32())])), + ]); + for (const records of [ + [{ value: 5 }], + [{ value: 5 }, { value: { nested: 1 } }], + [{ value: { nested: 1 } }, { value: "oops" }], + ]) { + expect(() => makeArrowTable(records, { schema })).toThrow( + /Expected a struct value for field value at row \d, got/, + ); + } + }); + it("will allow a schema to be provided", async function () { await checkTableCreation( async (records, _, schema) => diff --git a/nodejs/__test__/blob.test.ts b/nodejs/__test__/blob.test.ts index 5c01897b2..b41d5716f 100644 --- a/nodejs/__test__/blob.test.ts +++ b/nodejs/__test__/blob.test.ts @@ -1,9 +1,25 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors -import { Field, Int64, List, Schema, Struct, Utf8 } from "apache-arrow"; -import { makeArrowTable } from "../lancedb/arrow"; +import { + Field, + Float, + Float32, + Int32, + Int64, + List, + Schema, + Struct, + Utf8, +} from "apache-arrow"; +import { + convertToTable, + makeArrowTable, + resolveBlobInputs, +} from "../lancedb/arrow"; import { BlobFile, blob, coerceBlobValue, isBlobField } from "../lancedb/blob"; +import { EmbeddingFunction, LanceSchema } from "../lancedb/embedding"; +import { getRegistry } from "../lancedb/embedding/registry"; describe("blob()", () => { it("marks the field as lance.blob.v2", () => { @@ -46,6 +62,13 @@ describe("blob()", () => { }); }); +class BlobStruct { + constructor( + public data?: unknown, + public uri?: unknown, + ) {} +} + describe("coerceBlobValue", () => { it.each([ ["Buffer", Buffer.from("x"), { data: Buffer.from("x"), uri: null }], @@ -65,6 +88,41 @@ describe("coerceBlobValue", () => { { uri: "s3://bucket/key" }, { data: null, uri: "s3://bucket/key" }, ], + [ + "ArrayBuffer", + new Uint8Array([120]).buffer, + { data: new Uint8Array([120]), uri: null }, + ], + [ + "URL", + new URL("https://example.com/blob"), + { data: null, uri: "https://example.com/blob" }, + ], + [ + "data struct with ArrayBuffer", + { data: new Uint8Array([121]).buffer }, + { data: new Uint8Array([121]), uri: null }, + ], + [ + "uri struct with URL", + { uri: new URL("file:///tmp/a.png") }, + { data: null, uri: "file:///tmp/a.png" }, + ], + [ + "class instance with Uint8Array data", + new BlobStruct(new Uint8Array([122])), + { data: new Uint8Array([122]), uri: null }, + ], + [ + "class instance with ArrayBuffer data", + new BlobStruct(new Uint8Array([122]).buffer), + { data: new Uint8Array([122]), uri: null }, + ], + [ + "class instance with URL uri", + new BlobStruct(undefined, new URL("s3://bucket/key")), + { data: null, uri: "s3://bucket/key" }, + ], ["null", null, null], ])("accepts %s", (_name, input, expected) => { expect(coerceBlobValue(input)).toEqual(expected); @@ -76,7 +134,7 @@ describe("coerceBlobValue", () => { [ "Int16Array", new Int16Array([1]), - /Blob data must be Buffer or Uint8Array/, + /Blob data must be Buffer, Uint8Array, ArrayBuffer, or Blob/, ], [ "both data and uri", @@ -88,11 +146,160 @@ describe("coerceBlobValue", () => { { data: null, uri: null }, /exactly one of 'data' or 'uri'/, ], + ["Blob", new Blob(["x"]), /must be read asynchronously/], + ["data struct with Blob", { data: new Blob(["x"]) }, /asynchronously/], + [ + "class instance with Blob data", + new BlobStruct(new Blob(["x"])), + /asynchronously/, + ], + [ + "unknown struct field", + { data: Buffer.from("y"), mime: "image/png" }, + /Blob struct values only support 'data' and 'uri', got 'mime'/, + ], + [ + "misspelled struct field", + { uri: "s3://bucket/key", dat: Buffer.from("y") }, + /got 'dat'/, + ], + [ + "SharedArrayBuffer", + new SharedArrayBuffer(2), + /Blob column values must be Buffer, Uint8Array, ArrayBuffer, Blob/, + ], + ["Date", new Date(0), /Blob column values must be/], ])("rejects %s", (_name, input, message) => { expect(() => coerceBlobValue(input)).toThrow(message); }); }); +describe("resolveBlobInputs", () => { + it("reads Blob and File values in blob columns only", async () => { + const schema = new Schema([ + new Field("name", new Utf8(), true), + blob("image"), + new Field("images", new List(blob("image")), true), + ]); + const shared = new Blob(["same"]); + const notABlobColumn = new Blob(["other"]); + const data = [ + { + name: notABlobColumn, + image: new File(["file"], "a.txt"), + images: [shared, { data: shared }, null], + }, + { name: "x", image: Buffer.from("buf"), images: null }, + ]; + const resolved = await resolveBlobInputs(data, schema); + + expect(resolved[0].name).toBe(notABlobColumn); + expect(Buffer.from(resolved[0].image as Uint8Array).toString()).toBe( + "file", + ); + const images = resolved[0].images as [Uint8Array, { data: Uint8Array }]; + expect(Buffer.from(images[0]).toString()).toBe("same"); + expect(Buffer.from(images[1].data).toString()).toBe("same"); + // Rows without Blob values and the caller's records are left alone. + expect(resolved[1]).toBe(data[1]); + expect(data[0].images?.[0]).toBe(shared); + }); + + it("reads each distinct Blob once, bare or inside data structs", async () => { + class CountingBlob extends Blob { + calls = 0; + async arrayBuffer(): Promise { + this.calls++; + return super.arrayBuffer(); + } + } + const shared = new CountingBlob(["same"]); + const schema = new Schema([blob("image")]); + const resolved = await resolveBlobInputs( + [ + { image: { data: shared } }, + { image: { data: shared } }, + { image: shared }, + ], + schema, + ); + expect(shared.calls).toBe(1); + const first = (resolved[0].image as { data: Uint8Array }).data; + expect(Buffer.from(first).toString()).toBe("same"); + expect((resolved[1].image as { data: Uint8Array }).data).toBe(first); + expect(resolved[2].image).toBe(first); + }); + + it("reads a Blob held by a class instance", async () => { + const schema = new Schema([blob("image")]); + const [row] = await resolveBlobInputs( + [{ image: new BlobStruct(new Blob(["hi"])) }], + schema, + ); + expect( + Buffer.from((row.image as { data: Uint8Array }).data).toString(), + ).toBe("hi"); + }); + + it("returns the input when there is nothing to read", async () => { + const data = [{ image: Buffer.from("x") }]; + const schema = new Schema([blob("image")]); + await expect(resolveBlobInputs(data, schema)).resolves.toBe(data); + await expect(resolveBlobInputs(data)).resolves.toBe(data); + }); +}); + +describe("convertToTable blob columns with embedding functions", () => { + // Embedding metadata routes rows through ensureNestedFieldsExist, which must + // leave blob values for the blob coercion instead of treating them as structs. + class LengthEmbedding extends EmbeddingFunction { + ndims() { + return 2; + } + embeddingDataType(): Float { + return new Float32(); + } + async computeSourceEmbeddings(data: string[]) { + return data.map((text) => [text.length, 1]); + } + } + getRegistry().register("blob-test-length")(LengthEmbedding); + const func = getRegistry().get("blob-test-length")!.create(); + const embeddingSchema = LanceSchema({ + text: func.sourceField(new Utf8()), + vector: func.vectorField(), + }); + const schema = new Schema( + [...embeddingSchema.fields, blob("image")], + embeddingSchema.metadata, + ); + + it.each([ + ["Uint8Array", new Uint8Array([104, 105]), "hi", null], + ["ArrayBuffer", new Uint8Array([104, 105]).buffer, "hi", null], + ["Blob", new Blob(["hi"]), "hi", null], + ["URI string", "s3://b/k", null, "s3://b/k"], + ["URL", new URL("s3://b/k"), null, "s3://b/k"], + ["data struct", { data: new Uint8Array([104, 105]) }, "hi", null], + ])("accepts %s input", async (_name, image, data, uri) => { + const table = await convertToTable([{ text: "a", image }], undefined, { + schema, + }); + const column = table.getChild("image")!; + expect(column.nullCount).toBe(0); + const bytes = column.getChild("data")!.get(0); + expect(bytes == null ? null : Buffer.from(bytes).toString()).toBe(data); + expect(column.getChild("uri")!.get(0)).toBe(uri); + }); + + it("writes a missing blob as null", async () => { + const table = await convertToTable([{ text: "a" }], undefined, { schema }); + const column = table.getChild("image")!; + expect(column.nullCount).toBe(1); + expect(column.get(0)).toBeNull(); + }); +}); + describe("BlobFile", () => { it("rejects constructing BlobFile without a native handle", () => { expect(() => new (BlobFile as unknown as { new (): BlobFile })()).toThrow( @@ -103,26 +310,122 @@ describe("BlobFile", () => { describe("makeArrowTable blob columns", () => { it.each([ - ["ArrayBuffer", new Uint8Array([104]).buffer], - ["Blob", new Blob(["hello"])], - ["File", new File(["hello"], "hello.txt")], - ["URL", new URL("https://example.com/blob")], ["ReadableStream", new ReadableStream()], - ["data struct with ArrayBuffer", { data: new Uint8Array([104]).buffer }], - ["uri struct with URL", { uri: new URL("https://example.com/blob") }], + ["Int16Array", new Int16Array([1])], ])("rejects %s input rather than writing a null blob", (_name, image) => { const schema = new Schema([blob("image")]); expect(() => makeArrowTable([{ image }], { schema })).toThrow(/image/); }); - it("rejects Blob instances with enumerable fields as one invalid value", () => { + it.each([ + ["Blob", new Blob(["hello"])], + ["File", new File(["hello"], "hello.txt")], + ["data struct with Blob", { data: new Blob(["hello"]) }], + [ + "Blob with enumerable fields", + Object.assign(new Blob(["hello"]), { position: 0 }), + ], + ])("points %s input at the async APIs", (_name, image) => { const schema = new Schema([blob("image")]); - const image = Object.assign(new Blob(["hello"]), { position: 0 }); - expect(() => makeArrowTable([{ image }], { schema })).toThrow( - "Unsupported object value for field image at row 0.", + expect(() => makeArrowTable([{ id: 1, image }], { schema })).toThrow( + /blob field image at row 0: Blob and File values must be read asynchronously/, ); }); + it.each([ + ["ArrayBuffer", new Uint8Array([104, 105]).buffer, "hi", null], + [ + "data struct with ArrayBuffer", + { data: new Uint8Array([104, 105]).buffer }, + "hi", + null, + ], + ["URL", new URL("https://example.com/a"), null, "https://example.com/a"], + [ + "uri struct with URL", + { uri: new URL("file:///tmp/a.png") }, + null, + "file:///tmp/a.png", + ], + ])("accepts %s input", (_name, image, data, uri) => { + const schema = new Schema([blob("image")]); + const input = { image }; + const table = makeArrowTable([input], { schema }); + const column = table.getChild("image")!; + expect(column.nullCount).toBe(0); + const bytes = column.getChild("data")!.get(0); + expect(bytes == null ? null : Buffer.from(bytes).toString()).toBe(data); + expect(column.getChild("uri")!.get(0)).toBe(uri); + // The caller's record is left untouched. + expect(input.image).toBe(image); + }); + + it.each([ + ["Uint8Array", new Uint8Array([104, 105]), "hi", null], + ["URI string", "s3://b/k", null, "s3://b/k"], + ["data struct", { data: new Uint8Array([104, 105]) }, "hi", null], + ])("accepts %s input after a null row", (_name, image, data, uri) => { + const schema = new Schema([blob("image")]); + const table = makeArrowTable([{ image: null }, { image }], { schema }); + const column = table.getChild("image")!; + expect(column.nullCount).toBe(1); + expect(column.get(0)).toBeNull(); + const bytes = column.getChild("data")!.get(1); + expect(bytes == null ? null : Buffer.from(bytes).toString()).toBe(data); + expect(column.getChild("uri")!.get(1)).toBe(uri); + }); + + it("accepts a null struct before one holding a blob", () => { + const schema = new Schema([ + new Field("info", new Struct([blob("image")]), true), + ]); + const table = makeArrowTable( + [{ info: null }, { info: { image: new Uint8Array([97]) } }], + { schema }, + ); + const info = table.getChild("info")!; + expect(info.get(0)).toBeNull(); + const image = (info.get(1) as { image: { data: Uint8Array } }).image; + expect(Buffer.from(image.data).toString()).toBe("a"); + }); + + it("skips a missing blob column named like an Object.prototype member", () => { + const schema = new Schema([ + new Field("id", new Int32(), true), + blob("constructor"), + ]); + const table = makeArrowTable([{ id: 1 }], { schema }); + expect(table.schema.fields.map((f) => f.name)).toEqual(["id"]); + }); + + it("accepts ArrayBuffer and URL inside lists and structs", () => { + const schema = new Schema([ + new Field("images", new List(blob("image")), true), + new Field("info", new Struct([blob("image")]), true), + ]); + const table = makeArrowTable( + [ + { + images: [new Uint8Array([97]).buffer, new URL("s3://b/k")], + info: { image: new Uint8Array([98]).buffer }, + }, + ], + { schema }, + ); + const images = Array.from( + table.getChild("images")!.get(0) as Iterable<{ + data: Uint8Array | null; + uri: string | null; + }>, + ); + expect(Buffer.from(images[0].data!).toString()).toBe("a"); + expect(images[1].uri).toBe("s3://b/k"); + const info = table.getChild("info")!.get(0) as { + image: { data: Uint8Array }; + }; + expect(Buffer.from(info.image.data).toString()).toBe("b"); + }); + it("coerces Buffer input onto a blob field", () => { const schema = new Schema([ new Field("id", new Int64(), true), diff --git a/nodejs/__test__/table.test.ts b/nodejs/__test__/table.test.ts index c17b0315a..24cf6e0fd 100644 --- a/nodejs/__test__/table.test.ts +++ b/nodejs/__test__/table.test.ts @@ -9,6 +9,7 @@ import * as tmp from "tmp"; import { AutoQuery, + type BlobInput, Connection, MatchQuery, PhraseQuery, @@ -2583,7 +2584,7 @@ describe("when dealing with blob columns", () => { new Field("id", new Int64(), true), blob("image"), ]); - const row = { id: 1n, image: new Uint8Array([104]).buffer }; + const row = { id: 1n, image: new ReadableStream() }; await expect(db.createTable("invalid", [row], { schema })).rejects.toThrow( /field image at row 0/, @@ -2613,6 +2614,8 @@ describe("when dealing with blob columns", () => { it.each([ ["URI string", (uri: string) => uri], ["URI struct", (uri: string) => ({ uri })], + ["URL", (uri: string) => new URL(uri)], + ["URL struct", (uri: string) => ({ uri: new URL(uri) })], ])( "round-trips an external blob from a %s after reopening", async (_label, blobValue) => { @@ -2706,6 +2709,63 @@ describe("when dealing with blob columns", () => { expect(bytes[0]).toEqual(payload); }); + it("accepts ArrayBuffer, Blob, and File in createTable and add", async () => { + const db = await connect(tmpDir.name); + const schema = new Schema([ + new Field("id", new Int64(), true), + blob("image"), + ]); + const rows: { id: bigint; image: BlobInput }[] = [ + { id: 1n, image: new TextEncoder().encode("array-buffer").buffer }, + { id: 2n, image: new Blob(["blob"]) }, + { id: 3n, image: { data: new File(["file"], "f.txt") } }, + ]; + const table = await db.createTable("widened", rows.slice(0, 2), { + schema, + }); + await table.add(rows.slice(2)); + + const results = await table.query().select(["id"]).withRowId().toArray(); + results.sort((a, b) => Number(a.id - b.id)); + const bytes = await table.fetchBlobs( + "image", + results.map((row) => row._rowid as bigint), + ); + expect(bytes.map((b) => b?.toString())).toEqual([ + "array-buffer", + "blob", + "file", + ]); + }); + + it("accepts Blob values in mergeInsert", async () => { + const db = await connect(tmpDir.name); + const schema = new Schema([ + new Field("id", new Int64(), true), + blob("image"), + ]); + const table = await db.createTable( + "merge_blobs", + [{ id: 1n, image: Buffer.from("old") }], + { schema }, + ); + await table + .mergeInsert("id") + .whenMatchedUpdateAll() + .whenNotMatchedInsertAll() + .execute([ + { id: 1n, image: new Blob(["new"]) }, + { id: 2n, image: new Uint8Array([104, 105]).buffer }, + ]); + const results = await table.query().select(["id"]).withRowId().toArray(); + results.sort((a, b) => Number(a.id - b.id)); + const bytes = await table.fetchBlobs( + "image", + results.map((row) => row._rowid as bigint), + ); + expect(bytes.map((b) => b?.toString())).toEqual(["new", "hi"]); + }); + it("discovers blob columns", async () => { const { table } = await openBlobTable(); expect(await table.blobColumns()).toEqual(["image"]); diff --git a/nodejs/lancedb/arrow.ts b/nodejs/lancedb/arrow.ts index 3daee7d65..3130da8eb 100644 --- a/nodejs/lancedb/arrow.ts +++ b/nodejs/lancedb/arrow.ts @@ -40,7 +40,12 @@ import { } from "apache-arrow"; import { Buffers } from "apache-arrow/data"; import { typedArrayToArrowType } from "./arrow_type"; -import { coerceBlobValue, isBlobField } from "./blob"; +import { + blobToRead, + coerceBlobValue, + isBlobField, + withBlobBytes, +} from "./blob"; import { type EmbeddingFunction } from "./embedding/embedding_function"; import { EmbeddingFunctionConfig, @@ -449,6 +454,24 @@ export function makeArrowTable( ); } + if (schema !== undefined) { + // Validate blob values up front and give every one the full + // `{ data, uri }` shape, so inference sees the same struct whether a row + // passed bytes, a URI, or a partial struct. + data = mapBlobInputs(data, schema, (value, field, row) => { + if (value === undefined) { + return value; + } + try { + return coerceBlobValue(value); + } catch (e) { + throw new Error( + `Invalid value for blob field ${field} at row ${row}: ${(e as Error).message}`, + ); + } + }); + } + let schemaMetadata = schema?.metadata || new Map(); if (metadata !== undefined) { schemaMetadata = new Map([...schemaMetadata, ...metadata]); @@ -510,6 +533,133 @@ function containsBlobField(field: Field): boolean { ); } +type BlobInputVisitor = (value: unknown, field: string, row: number) => unknown; + +/** + * Calls `visit` on every value that lands in a blob column of `schema`, + * including blobs nested in structs and lists, and replaces it with the + * result. Records and arrays are copied only where a value changed, so the + * caller's data is never mutated. + */ +function mapBlobInputs( + data: Array>, + schema: Schema, + visit: BlobInputVisitor, +): Array> { + if (!schema.fields.some(containsBlobField)) { + return data; + } + return data.map((record, row) => + isObject(record) + ? mapBlobFields(record, schema.fields, "", row, visit) + : record, + ); +} + +function mapBlobFields( + record: Record, + fields: Field[], + prefix: string, + row: number, + visit: BlobInputVisitor, +): Record { + let out: Record | undefined; + for (const field of fields) { + if (!containsBlobField(field) || !Object.hasOwn(record, field.name)) { + continue; + } + const value = record[field.name]; + const mapped = mapBlobField( + value, + field, + `${prefix}${field.name}`, + row, + visit, + ); + if (mapped !== value) { + out ??= { ...record }; + out[field.name] = mapped; + } + } + return out ?? record; +} + +function mapBlobField( + value: unknown, + field: Field, + label: string, + row: number, + visit: BlobInputVisitor, +): unknown { + if (isBlobField(field)) { + return visit(value, label, row); + } + if (field.type instanceof Struct && isObject(value)) { + return mapBlobFields(value, field.type.children, `${label}.`, row, visit); + } + if (isList(field.type) && Array.isArray(value)) { + const child = field.type.children[0]; + let out: unknown[] | undefined; + for (const [index, element] of value.entries()) { + const mapped = mapBlobField( + element, + child, + `${label}[${index}]`, + row, + visit, + ); + if (mapped !== element) { + out ??= [...value]; + out[index] = mapped; + } + } + return out ?? value; + } + return value; +} + +/** + * Reads `Blob` / `File` values in the blob columns of `schema` into bytes so + * the synchronous conversion in {@link makeArrowTable} can accept them. + * Returns `data` itself when there is nothing to read. + */ +export async function resolveBlobInputs( + data: Array>, + schema?: SchemaLike, +): Promise>> { + if (schema === undefined || schema === null) { + return data; + } + const sanitized = sanitizeSchema(schema); + // Keyed by the Blob itself, so rows sharing one Blob (bare or as + // `{ data }`) read it once and share the bytes. + const reads = new Map>(); + mapBlobInputs(data, sanitized, (value) => { + const source = blobToRead(value); + if (source !== undefined && !reads.has(source)) { + reads.set( + source, + source.arrayBuffer().then((buffer) => new Uint8Array(buffer)), + ); + } + return value; + }); + if (reads.size === 0) { + return data; + } + const bytes = new Map( + await Promise.all( + [...reads].map(async ([source, read]) => [source, await read] as const), + ), + ); + return mapBlobInputs(data, sanitized, (value) => { + const source = blobToRead(value); + return source === undefined + ? value + : withBlobBytes(value, bytes.get(source) as Uint8Array); + }); +} + function isObject(value: unknown): value is Record { return ( typeof value === "object" && @@ -1013,6 +1163,11 @@ export async function convertToTable( ); } + processedData = await resolveBlobInputs( + processedData, + makeTableOptions?.schema, + ); + const table = makeArrowTable(processedData, makeTableOptions); return await applyEmbeddings(table, embeddings, makeTableOptions?.schema); } @@ -1369,7 +1524,7 @@ export function ensureNestedFieldsExist( for (const field of schema.fields) { if (field.name in row) { if ( - field.type.constructor.name === "Struct" && + isPlainStructField(field) && row[field.name] !== null && row[field.name] !== undefined ) { @@ -1386,10 +1541,9 @@ export function ensureNestedFieldsExist( } else { // Keep a missing struct valid while filling each of its children with // null. This is distinct from an explicitly null struct value. - completeRow[field.name] = - field.type.constructor.name === "Struct" - ? ensureStructFieldsExist({}, field.type as Struct) - : null; + completeRow[field.name] = isPlainStructField(field) + ? ensureStructFieldsExist({}, field.type as Struct) + : null; } } @@ -1397,6 +1551,15 @@ export function ensureNestedFieldsExist( }); } +/** + * Blob fields are Arrow structs, but their values are bytes, URIs, or + * `{ data } | { uri }` inputs that the blob coercion in `makeArrowTable` + * handles, so they must not be filled in like ordinary structs. + */ +function isPlainStructField(field: Field): boolean { + return field.type.constructor.name === "Struct" && !isBlobField(field); +} + /** * Recursively ensures that all fields in a struct type exist in the data, * filling missing fields with null values. @@ -1410,7 +1573,7 @@ function ensureStructFieldsExist( for (const childField of structType.children) { if (childField.name in data) { if ( - childField.type.constructor.name === "Struct" && + isPlainStructField(childField) && data[childField.name] !== null && data[childField.name] !== undefined ) { @@ -1426,10 +1589,9 @@ function ensureStructFieldsExist( } else { // Keep a missing struct valid while filling each of its children with // null. This is distinct from an explicitly null struct value. - completeStruct[childField.name] = - childField.type.constructor.name === "Struct" - ? ensureStructFieldsExist({}, childField.type as Struct) - : null; + completeStruct[childField.name] = isPlainStructField(childField) + ? ensureStructFieldsExist({}, childField.type as Struct) + : null; } } diff --git a/nodejs/lancedb/blob.ts b/nodejs/lancedb/blob.ts index e6c780ca9..f3d648f48 100644 --- a/nodejs/lancedb/blob.ts +++ b/nodejs/lancedb/blob.ts @@ -12,7 +12,46 @@ const DEDICATED_SIZE_THRESHOLD_KEY = const PACK_FILE_SIZE_THRESHOLD_KEY = "lance-encoding:blob-pack-file-size-threshold"; -export type BlobInput = { +/** + * Bytes accepted for a blob value. `ArrayBuffer` is wrapped without copying. + * `Blob` and `File` are read with `arrayBuffer()`, which only the async write + * paths ({@link Connection.createTable}, {@link Table.add}, + * {@link Table.mergeInsert}) can do. + */ +export type BlobData = Buffer | Uint8Array | ArrayBuffer | Blob; + +/** A URI accepted for a blob value. A `URL` is stored as its `href`. */ +export type BlobUri = string | URL; + +/** + * A value accepted for a `lance.blob.v2` column (see {@link blob}). + * + * Either inline bytes, a URI pointing at external bytes, or a struct that sets + * exactly one of `data` or `uri`. `null` and `undefined` write a null blob. + * + * @example + * ```ts + * import { pathToFileURL } from "node:url"; + * import type { BlobInput } from "@lancedb/lancedb"; + * + * const rows: { id: bigint; image: BlobInput }[] = [ + * { id: 1n, image: await (await fetch(url)).arrayBuffer() }, + * { id: 2n, image: pathToFileURL("/data/cat.png") }, + * { id: 3n, image: { data: new Blob(["hello"]) } }, + * ]; + * await table.add(rows); + * ``` + */ +export type BlobInput = + | BlobData + | BlobUri + | { data: BlobData; uri?: null } + | { data?: null; uri: BlobUri } + | null + | undefined; + +/** A blob value normalized to the columns of the blob struct. */ +export type BlobValue = { data: Buffer | Uint8Array | null; uri: string | null; }; @@ -248,7 +287,77 @@ export type BlobRange = { end: bigint; }; -export function coerceBlobValue(value: unknown): BlobInput | null { +/** + * Rewrites the synchronous-only widenings of {@link BlobInput} (`ArrayBuffer`, + * `URL`) into `Uint8Array` and URI strings, keeping the value's shape. Other + * values are returned unchanged and validated later by {@link coerceBlobValue}. + * + * Throws on `Blob` / `File`, which must be read into bytes first. + */ +export function normalizeBlobInput(value: unknown): unknown { + if (blobToRead(value) !== undefined) { + throw new Error( + "Blob and File values must be read asynchronously. Pass them to " + + "createTable, add, or mergeInsert, or convert them with " + + "`new Uint8Array(await value.arrayBuffer())`", + ); + } + if (value instanceof ArrayBuffer) { + return new Uint8Array(value); + } + if (value instanceof URL) { + return value.href; + } + if (isBlobStruct(value)) { + // Read `data` and `uri` explicitly: spreading a class instance would drop + // fields defined as getters on its prototype. + const out: Record = { + ...value, + data: value.data, + uri: value.uri, + }; + let changed = false; + if (value.data instanceof ArrayBuffer) { + out.data = new Uint8Array(value.data); + changed = true; + } + if (value.uri instanceof URL) { + out.uri = value.uri.href; + changed = true; + } + return changed ? out : value; + } + return value; +} + +/** + * Returns the `Blob` / `File` a blob value needs read, either the value itself + * or its `data` field, or `undefined` when there is nothing to read. + */ +export function blobToRead(value: unknown): Blob | undefined { + if (isBlobLike(value)) { + return value; + } + if (isBlobStruct(value) && isBlobLike(value.data)) { + return value.data; + } + return undefined; +} + +/** + * Replaces the `Blob` that {@link blobToRead} found in `value` with `bytes`, + * keeping the value's shape. + */ +export function withBlobBytes(value: unknown, bytes: Uint8Array): unknown { + if (isBlobLike(value)) { + return bytes; + } + const record = value as Record; + return { ...record, uri: record.uri, data: bytes }; +} + +export function coerceBlobValue(input: unknown): BlobValue | null { + const value = normalizeBlobInput(input); if (value == null) { return null; } @@ -256,7 +365,9 @@ export function coerceBlobValue(value: unknown): BlobInput | null { return { data: value, uri: null }; } if (ArrayBuffer.isView(value)) { - throw new Error("Blob data must be Buffer or Uint8Array"); + throw new Error( + "Blob data must be Buffer, Uint8Array, ArrayBuffer, or Blob", + ); } if (typeof value === "string") { if (value === "") { @@ -264,23 +375,37 @@ export function coerceBlobValue(value: unknown): BlobInput | null { } return { data: null, uri: value }; } - if (typeof value === "object") { - const record = value as Record; + if (isBlobStruct(value)) { + const record = value; if (!("data" in record) && !("uri" in record)) { throw new Error( "Blob struct values must include a 'data' or 'uri' field", ); } + const unknownKeys = Object.keys(record).filter( + (key) => key !== "data" && key !== "uri", + ); + if (unknownKeys.length > 0) { + throw new Error( + `Blob struct values only support 'data' and 'uri', got ${unknownKeys + .map((key) => `'${key}'`) + .join(", ")}`, + ); + } const uri = record.uri; if (uri === "") { throw new Error("Blob uri cannot be empty"); } if (uri != null && typeof uri !== "string") { - throw new Error(`Blob uri must be a string or null, got ${typeof uri}`); + throw new Error( + `Blob uri must be a string, URL, or null, got ${typeof uri}`, + ); } const data = record.data; if (data != null && !isBlobBytes(data)) { - throw new Error("Blob data must be Buffer, Uint8Array, or null"); + throw new Error( + "Blob data must be Buffer, Uint8Array, ArrayBuffer, Blob, or null", + ); } const bytes = (data as Buffer | Uint8Array | null | undefined) ?? null; const uriValue = uri ?? null; @@ -292,7 +417,39 @@ export function coerceBlobValue(value: unknown): BlobInput | null { return { data: bytes, uri: uriValue }; } throw new Error( - "Blob column values must be Buffer, Uint8Array, a URI string, null, or { data?, uri? }", + "Blob column values must be Buffer, Uint8Array, ArrayBuffer, Blob, a URI string or URL, null, or { data?, uri? }", + ); +} + +function isBlobLike(value: unknown): value is Blob { + return typeof Blob !== "undefined" && value instanceof Blob; +} + +/** + * Whether `value` is a `{ data?, uri? }` struct: any plain object, or any + * other object with a `data` or `uri` field (such as a class instance), apart + * from the binary, `Blob`, and `URL` values that are blob inputs themselves. + */ +function isBlobStruct(value: unknown): value is Record { + if ( + typeof value !== "object" || + value === null || + Array.isArray(value) || + ArrayBuffer.isView(value) || + value instanceof ArrayBuffer || + (typeof SharedArrayBuffer !== "undefined" && + value instanceof SharedArrayBuffer) || + isBlobLike(value) || + value instanceof URL + ) { + return false; + } + const prototype = Object.getPrototypeOf(value); + return ( + prototype === Object.prototype || + prototype === null || + "data" in value || + "uri" in value ); } diff --git a/nodejs/lancedb/connection.ts b/nodejs/lancedb/connection.ts index 5e9641202..d2a34669e 100644 --- a/nodejs/lancedb/connection.ts +++ b/nodejs/lancedb/connection.ts @@ -8,6 +8,7 @@ import { fromTableToStreamBuffer, isArrowTable, makeArrowTable, + resolveBlobInputs, } from "./arrow"; import { Table as ArrowTable, @@ -1133,7 +1134,11 @@ async function parseTableData( if (isArrowTable(data)) { table = sanitizeTable(data); } else { - table = makeArrowTable(data as Record[], options); + const records = await resolveBlobInputs( + data as Record[], + options?.schema, + ); + table = makeArrowTable(records, options); } if (streaming) { const buf = await fromTableToStreamBuffer( diff --git a/nodejs/lancedb/index.ts b/nodejs/lancedb/index.ts index 9d4e5608b..72b8c4a56 100644 --- a/nodejs/lancedb/index.ts +++ b/nodejs/lancedb/index.ts @@ -84,7 +84,14 @@ export { } from "./arrow"; export { blob, isBlobField, BlobFile } from "./blob"; -export type { BlobOptions, BlobRange, BlobReadOptions } from "./blob"; +export type { + BlobData, + BlobInput, + BlobOptions, + BlobRange, + BlobReadOptions, + BlobUri, +} from "./blob"; export { Connection, diff --git a/nodejs/lancedb/schema.ts b/nodejs/lancedb/schema.ts index 724a81fc9..3e225464f 100644 --- a/nodejs/lancedb/schema.ts +++ b/nodejs/lancedb/schema.ts @@ -69,12 +69,18 @@ class SchemaInferrer { this.addField(path, value, row); } else if (this.providedSchema === undefined) { this.updateInferredField(path, value, row, current); + } else if (current instanceof DeferredTypeEvidence) { + if (value != null) { + this.addSchemaField(this.providedSchema, path, value, row); + } + } else if (current instanceof FieldTree || DataType.isStruct(current)) { + assertStructValue(path, value, row); } } private addField(path: string[], value: unknown, row: number): void { if (this.providedSchema !== undefined) { - this.addSchemaField(this.providedSchema, path, row); + this.addSchemaField(this.providedSchema, path, value, row); return; } @@ -95,15 +101,31 @@ class SchemaInferrer { } } - private addSchemaField(schema: Schema, path: string[], row: number): void { + private addSchemaField( + schema: Schema, + path: string[], + value: unknown, + row: number, + ): void { const field = fieldAtPath(schema, path); if (field === undefined) { throw new Error( `Found field not in schema: ${path.join(".")} at row ${row}`, ); } + if (DataType.isStruct(field.type)) { + assertStructValue(path, value, row); + } - const conflict = this.fields.set(path, field.type); + // Nulls are kept as deferred evidence so that a struct field seen first as + // null can be replaced by a record in a later row, just as a record seen + // first already ignores later nulls. + const conflict = this.fields.set( + path, + DeferredTypeEvidence.from(value, row) ?? field.type, + (existing) => + existing instanceof DeferredTypeEvidence && existing.isOnlyNulls(), + ); if (conflict !== undefined) { throw branchConflictError(conflict, row, "Struct"); } @@ -483,6 +505,26 @@ function assertSupportedValue( } } +/** + * Rejects primitives, arrays, and typed arrays given for a struct field, which + * would otherwise be written as a struct with every child null. + */ +function assertStructValue(path: string[], value: unknown, row: number): void { + if ( + value == null || + (typeof value === "object" && + !Array.isArray(value) && + !ArrayBuffer.isView(value)) + ) { + return; + } + const kind = + typeof value === "object" ? value.constructor.name : typeof value; + throw new Error( + `Expected a struct value for field ${path.join(".")} at row ${row}, got ${kind}.`, + ); +} + function fieldAtPath(schema: Schema, path: string[]): Field | undefined { let fields = schema.fields; let field: Field | undefined; From 6bdfe736042d686cf427e2b09199a7ccade903ee Mon Sep 17 00:00:00 2001 From: ccmao1130 Date: Mon, 5 Oct 2026 17:03:16 -0500 Subject: [PATCH 20/25] fix: add reverie banner to readme (#4346) Add Reverie banner to the top of README until event ends. Additionally, I also removed the "LanceDB Cloud" skinny banner since we're not promoting that right? Should we modify the larger LanceDB modify to not mention "Try LanceDB Cloud"? --- README.md | 6 ++---- docs/src/assets/reverie-banner.png | Bin 0 -> 739712 bytes 2 files changed, 2 insertions(+), 4 deletions(-) create mode 100644 docs/src/assets/reverie-banner.png diff --git a/README.md b/README.md index c8a70780d..0a6364c0b 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,6 @@ - - LanceDB Cloud Public Beta -
+[![Reverie](docs/src/assets/reverie-banner.png)](https://www.reveriesummit.com) [![LanceDB](docs/src/assets/hero-header.png)](https://lancedb.com) [![Website](https://img.shields.io/badge/-Website-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://lancedb.com/) [![Blog](https://img.shields.io/badge/Blog-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://blog.lancedb.com/) @@ -13,7 +11,7 @@ LanceDB -# **The Multimodal AI Lakehouse** +# **The Multimodal Lakehouse for AI** [**How to Install** ](#how-to-install) ✦ [**Detailed Documentation**](https://docs.lancedb.com) ✦ [**Tutorials and Recipes**](https://github.com/lancedb/vectordb-recipes/tree/main) ✦ [**Contributors**](#contributors) diff --git a/docs/src/assets/reverie-banner.png b/docs/src/assets/reverie-banner.png new file mode 100644 index 0000000000000000000000000000000000000000..d7d49cb3bd475951b71debd63de03345b9c94dcd GIT binary patch literal 739712 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-[![Reverie](docs/src/assets/reverie-banner.png)](https://www.reveriesummit.com) +[![Reverie](docs/src/assets/reverie-banner.png)](https://www.reveriesummit.com/?utm_medium=social&utm_source=github&utm_campaign=reverie-2026) [![LanceDB](docs/src/assets/hero-header.png)](https://lancedb.com) [![Website](https://img.shields.io/badge/-Website-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://lancedb.com/) [![Blog](https://img.shields.io/badge/Blog-100000?style=for-the-badge&labelColor=645cfb&color=645cfb)](https://blog.lancedb.com/) diff --git a/docs/src/assets/hero-header.png b/docs/src/assets/hero-header.png index 5880537226e4018af35a0b40b3f41605d6ca38a9..aa474b06b8da2643713278cbd0e60a6db3533ca2 100644 GIT binary patch literal 1348215 zcmX_neO!zC|34p&4vspv{LO^XDPbq6MoL z%$hZ8(SiMYj?9|1;LWUAbHD$79`;RK$>$dAkNN-XKN&G=*1{$K{hmE5{mDw~%h?e} zNV{jf`(ibQeV7}x%WK!HS^3O`@R{$h&*qVPPegiC|Bj3~b187vzTlwHGnx5m0kf8- zs1NMfb@cM=iGhR{g*)1|jF*(63kd`0#qQvvhj*{**|Ei~T~x4Z^rvT=%?vUS-MVq! 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i@!?kM+zDnq14exPC;c< From d864e7198fe55a4e5fbe747fee574737fa102aab Mon Sep 17 00:00:00 2001 From: Colin Patrick McCabe Date: Mon, 5 Oct 2026 21:41:53 -0500 Subject: [PATCH 22/25] feat!: list_databases returns an iterator (#4442) CatalogConnection.list_databases should return an iterator so that users don't have to manually re-implement pagination. For those who do want more control over pagination, add num_page_results and page_token to the Iterator object, and also allow the iterator object to be created at a specific page token. --- docs/src/js/classes/Catalog.md | 19 ++- docs/src/js/classes/DatabaseNames.md | 79 ++++++++++ docs/src/js/functions/connectCatalog.md | 4 +- docs/src/js/globals.md | 2 +- .../js/interfaces/ListDatabasesResponse.md | 23 --- docs/src/python/python.md | 5 +- nodejs/__test__/catalog.test.ts | 141 +++++++++++++++++- nodejs/lancedb/catalog.ts | 74 +++++++-- nodejs/lancedb/index.ts | 2 +- nodejs/src/catalog.rs | 61 +++++--- python/python/lancedb/__init__.py | 2 - python/python/lancedb/_lancedb.pyi | 12 +- python/python/lancedb/catalog.py | 110 +++++++++++--- python/python/tests/test_catalog.py | 133 ++++++++++++++++- python/src/catalog.rs | 60 ++++++-- python/src/lib.rs | 1 + rust/lancedb/src/catalog.rs | 105 ++++++++++++- rust/lancedb/src/remote/catalog.rs | 124 +++++++++++++++ 18 files changed, 842 insertions(+), 115 deletions(-) create mode 100644 docs/src/js/classes/DatabaseNames.md delete mode 100644 docs/src/js/interfaces/ListDatabasesResponse.md diff --git a/docs/src/js/classes/Catalog.md b/docs/src/js/classes/Catalog.md index deac5e3ce..8351380e2 100644 --- a/docs/src/js/classes/Catalog.md +++ b/docs/src/js/classes/Catalog.md @@ -89,19 +89,30 @@ Drop an empty database. The server rejects nonempty databases. ### listDatabases() ```ts -listDatabases(options): Promise +listDatabases(options): DatabaseNames ``` -List one page of databases; pass pageToken from a response for the next page. +Iterate lazily over all database names using `for await...of`. +pageToken resumes from a saved token; omitted starts at the beginning. +pageLimit limits each REST response, not the total; omitted uses the server default. +Request errors are raised during iteration and terminate the iterator. #### Parameters * **options** = `{}` -* **options.limit?**: `number` +* **options.pageLimit?**: `number` * **options.pageToken?**: `string` #### Returns -`Promise`<[`ListDatabasesResponse`](../interfaces/ListDatabasesResponse.md)> +[`DatabaseNames`](DatabaseNames.md) + +#### Example + +```ts +for await (const name of catalog.listDatabases({ pageLimit: 20 })) { + console.log(name); +} +``` diff --git a/docs/src/js/classes/DatabaseNames.md b/docs/src/js/classes/DatabaseNames.md new file mode 100644 index 000000000..6b78f93b8 --- /dev/null +++ b/docs/src/js/classes/DatabaseNames.md @@ -0,0 +1,79 @@ +[**@lancedb/lancedb**](../README.md) • **Docs** + +*** + +[@lancedb/lancedb](../globals.md) / DatabaseNames + +# Class: DatabaseNames + +A lazy async iterator of database names with pagination state. +Returned by [Catalog.listDatabases](Catalog.md#listdatabases). + +## Implements + +- `AsyncIterableIterator`<`string`> + +## Methods + +### \[asyncIterator\]() + +```ts +asyncIterator: AsyncIterableIterator +``` + +#### Returns + +`AsyncIterableIterator`<`string`> + +#### Implementation of + +`AsyncIterableIterator.[asyncIterator]` + +*** + +### next() + +```ts +next(): Promise> +``` + +Fetch the next name, requesting another page only when needed. + +#### Returns + +`Promise`<`IteratorResult`<`string`, `any`>> + +#### Implementation of + +`AsyncIterableIterator.next` + +*** + +### numPageResults() + +```ts +numPageResults(): number +``` + +Number of names available without another REST request. + +#### Returns + +`number` + +*** + +### pageToken() + +```ts +pageToken(): undefined | string +``` + +Token for the next REST request. Initially this is the supplied starting token. +Returns undefined after the final page is fetched, even if names remain cached. +Drain the cache before saving a token to avoid skipping names when resuming. +A failed request terminates iteration and retains its token for a new iterator. + +#### Returns + +`undefined` \| `string` diff --git a/docs/src/js/functions/connectCatalog.md b/docs/src/js/functions/connectCatalog.md index 2bdb3182f..ca51c0ed4 100644 --- a/docs/src/js/functions/connectCatalog.md +++ b/docs/src/js/functions/connectCatalog.md @@ -28,5 +28,7 @@ headers; opened database connections inherit authentication and client options. ```ts const catalog = await connectCatalog("https://my-server.example", { apiKey: "secret" }); const db = await catalog.createDatabase("analytics", { existOk: true }); -const page = await catalog.listDatabases({ limit: 20 }); +for await (const name of catalog.listDatabases({ pageLimit: 20 })) { + console.log(name); +} ``` diff --git a/docs/src/js/globals.md b/docs/src/js/globals.md index 0c48ad4ec..1a939ae28 100644 --- a/docs/src/js/globals.md +++ b/docs/src/js/globals.md @@ -27,6 +27,7 @@ - [Branches](classes/Branches.md) - [Catalog](classes/Catalog.md) - [Connection](classes/Connection.md) +- [DatabaseNames](classes/DatabaseNames.md) - [HeaderProvider](classes/HeaderProvider.md) - [Index](classes/Index.md) - [Job](classes/Job.md) @@ -108,7 +109,6 @@ - [JobEventsOptions](interfaces/JobEventsOptions.md) - [JobFailureInfo](interfaces/JobFailureInfo.md) - [JobInfo](interfaces/JobInfo.md) -- [ListDatabasesResponse](interfaces/ListDatabasesResponse.md) - [ListNamespacesOptions](interfaces/ListNamespacesOptions.md) - [ListNamespacesResponse](interfaces/ListNamespacesResponse.md) - [ListTablesOptions](interfaces/ListTablesOptions.md) diff --git a/docs/src/js/interfaces/ListDatabasesResponse.md b/docs/src/js/interfaces/ListDatabasesResponse.md deleted file mode 100644 index a1a247746..000000000 --- a/docs/src/js/interfaces/ListDatabasesResponse.md +++ /dev/null @@ -1,23 +0,0 @@ -[**@lancedb/lancedb**](../README.md) • **Docs** - -*** - -[@lancedb/lancedb](../globals.md) / ListDatabasesResponse - -# Interface: ListDatabasesResponse - -## Properties - -### databases - -```ts -databases: string[]; -``` - -*** - -### pageToken? - -```ts -optional pageToken: string; -``` diff --git a/docs/src/python/python.md b/docs/src/python/python.md index 66fda4378..f946fbb13 100644 --- a/docs/src/python/python.md +++ b/docs/src/python/python.md @@ -37,7 +37,8 @@ are ordinary connections. Dropping a database requires it to be empty. ::: lancedb.catalog.Catalog -::: lancedb.catalog.ListDatabasesResponse +::: lancedb.catalog.DatabaseNames + ## Remote SQL @@ -440,6 +441,8 @@ latency on your workload before opting in. ::: lancedb.catalog.AsyncCatalog +::: lancedb.catalog.AsyncDatabaseNames + Connections represent a connection to a LanceDb database and can be used to create, list, or open tables. diff --git a/nodejs/__test__/catalog.test.ts b/nodejs/__test__/catalog.test.ts index f9158c94f..945956b5b 100644 --- a/nodejs/__test__/catalog.test.ts +++ b/nodejs/__test__/catalog.test.ts @@ -80,9 +80,12 @@ describe("remote catalog", () => { const second = await catalog.connectDatabase("other"); expect(await second.tableNames()).toEqual([]); expect(await first.tableNames()).toEqual([]); - expect( - await catalog.listDatabases({ limit: 1, pageToken: "a/b" }), - ).toEqual({ databases: ["team/search"], pageToken: "next" }); + const names = catalog.listDatabases({ pageLimit: 1, pageToken: "a/b" }); + expect(await names.next()).toEqual({ + done: false, + value: "team/search", + }); + expect(names.pageToken()).toBe("next"); await catalog.dropDatabase("team/search", { ignoreMissing: true }); expect(requests[0].url).toBe("/v1/namespace/team%2Fsearch/create"); expect(requests[0].body).toEqual({ mode: "ExistOk" }); @@ -129,11 +132,139 @@ describe("remote catalog", () => { ); }); + it("lazily traverses pages, including empty pages, and exposes cached state", async () => { + await withCatalog( + [ + // biome-ignore lint/style/useNamingConvention: server wire format + [200, { namespaces: ["a", "b"], page_token: "empty" }], + // biome-ignore lint/style/useNamingConvention: server wire format + [200, { namespaces: [], page_token: "last" }], + // biome-ignore lint/style/useNamingConvention: server wire format + [200, { namespaces: ["c", "d"], page_token: "" }], + ], + async (catalog, requests) => { + const names = catalog.listDatabases({ pageLimit: 2 }); + expect(names[Symbol.asyncIterator]()).toBe(names); + expect(requests).toHaveLength(0); + expect(names.numPageResults()).toBe(0); + expect(names.pageToken()).toBeUndefined(); + expect(await names.next()).toEqual({ done: false, value: "a" }); + expect(names.numPageResults()).toBe(1); + expect(names.pageToken()).toBe("empty"); + expect(await names.next()).toEqual({ done: false, value: "b" }); + expect(requests).toHaveLength(1); + expect(await names.next()).toEqual({ done: false, value: "c" }); + expect(requests).toHaveLength(3); + expect(names.pageToken()).toBeUndefined(); + expect(names.numPageResults()).toBe(1); + const remaining = []; + for await (const name of names) remaining.push(name); + expect(remaining).toEqual(["d"]); + expect(names.numPageResults()).toBe(0); + expect(await names.next()).toEqual({ done: true, value: undefined }); + expect(requests.map((request) => request.url)).toEqual([ + "/v1/namespace/$/list?limit=2", + "/v1/namespace/$/list?limit=2&page_token=empty", + "/v1/namespace/$/list?limit=2&page_token=last", + ]); + }, + ); + }); + + it("resumes from a saved token after draining the cache", async () => { + await withCatalog( + [ + // biome-ignore lint/style/useNamingConvention: server wire format + [200, { namespaces: ["a", "b"], page_token: "next/token" }], + [200, { namespaces: ["c"] }], + ], + async (catalog, requests) => { + const names = catalog.listDatabases({ + pageToken: "start/token", + pageLimit: 2, + }); + expect(names.pageToken()).toBe("start/token"); + expect(await names.next()).toEqual({ done: false, value: "a" }); + while (names.numPageResults() > 0) await names.next(); + const resumed = catalog.listDatabases({ + pageToken: names.pageToken(), + pageLimit: 2, + }); + const results = []; + for await (const name of resumed) results.push(name); + expect(results).toEqual(["c"]); + expect(requests.map((request) => request.url)).toEqual([ + "/v1/namespace/$/list?limit=2&page_token=start%2Ftoken", + "/v1/namespace/$/list?limit=2&page_token=next%2Ftoken", + ]); + }, + ); + }); + + it("terminates on errors and retains the failed request token", async () => { + await withCatalog( + [ + // biome-ignore lint/style/useNamingConvention: server wire format + [200, { namespaces: ["a"], page_token: "retry" }], + [400, {}], + [200, { namespaces: ["b"] }], + ], + async (catalog, requests) => { + const names = catalog.listDatabases(); + await names.next(); + await expect(names.next()).rejects.toThrow(); + expect(names.pageToken()).toBe("retry"); + expect(names.numPageResults()).toBe(0); + expect(await names.next()).toEqual({ done: true, value: undefined }); + expect(requests).toHaveLength(2); + const resumed = catalog.listDatabases({ pageToken: names.pageToken() }); + expect(await resumed.next()).toEqual({ done: false, value: "b" }); + expect(await resumed.next()).toEqual({ done: true, value: undefined }); + }, + ); + }); + + it("handles an empty listing and concurrent advances", async () => { + await withCatalog( + [ + [200, { namespaces: [] }], + [200, { namespaces: ["a", "b"] }], + ], + async (catalog, requests) => { + const empty = catalog.listDatabases(); + expect(await empty.next()).toEqual({ done: true, value: undefined }); + expect(await empty.next()).toEqual({ done: true, value: undefined }); + const names = catalog.listDatabases(); + const pending = [names.next(), names.next(), names.next()]; + expect(names.numPageResults()).toBe(0); + expect(names.pageToken()).toBeUndefined(); + const results = await Promise.all(pending); + expect( + results + .filter((result) => !result.done) + .map((result) => result.value) + .sort(), + ).toEqual(["a", "b"]); + expect(results.filter((result) => result.done)).toHaveLength(1); + expect(requests).toHaveLength(2); + }, + ); + }); + it("validates endpoints and pagination", async () => { await expect(connectCatalog("/tmp/catalog")).rejects.toThrow(); const catalog = await connectCatalog("http://127.0.0.1:1"); - for (const limit of [0, -1, 1.5, 2147483648]) { - await expect(catalog.listDatabases({ limit })).rejects.toThrow("limit"); + for (const limit of [ + 0, + -1, + 1.5, + 2147483648, + Number.NaN, + Number.POSITIVE_INFINITY, + ]) { + expect(() => catalog.listDatabases({ pageLimit: limit })).toThrow( + "limit", + ); } await expect(catalog.connectDatabase("a$b")).rejects.toThrow( "Invalid database name", diff --git a/nodejs/lancedb/catalog.ts b/nodejs/lancedb/catalog.ts index 5cfe2c5ea..e344d8187 100644 --- a/nodejs/lancedb/catalog.ts +++ b/nodejs/lancedb/catalog.ts @@ -5,9 +5,9 @@ import { Connection, LocalConnection } from "./connection"; import { HeaderProvider } from "./header"; import { JsHeaderProvider, - ListDatabasesResponse, Catalog as NativeCatalog, CatalogOptions as NativeCatalogOptions, + DatabaseNames as NativeDatabaseNames, } from "./native.js"; import { OAuthConfig } from "./oauth"; @@ -21,7 +21,41 @@ export interface CatalogOptions | (() => Record | Promise>); } -export type { ListDatabasesResponse } from "./native.js"; +/** + * A lazy async iterator of database names with pagination state. + * Returned by {@link Catalog.listDatabases}. + */ +export class DatabaseNames implements AsyncIterableIterator { + /** @hidden */ + constructor(private readonly inner: NativeDatabaseNames) {} + + [Symbol.asyncIterator](): AsyncIterableIterator { + return this; + } + + /** Fetch the next name, requesting another page only when needed. */ + async next(): Promise> { + const value = await this.inner.next(); + return value == null + ? { done: true, value: undefined } + : { done: false, value }; + } + + /** Number of names available without another REST request. */ + numPageResults(): number { + return this.inner.numPageResults(); + } + + /** + * Token for the next REST request. Initially this is the supplied starting token. + * Returns undefined after the final page is fetched, even if names remain cached. + * Drain the cache before saving a token to avoid skipping names when resuming. + * A failed request terminates iteration and retains its token for a new iterator. + */ + pageToken(): string | undefined { + return this.inner.pageToken() ?? undefined; + } +} /** A remote catalog manages databases through the server's root namespace. */ export class Catalog { @@ -56,21 +90,35 @@ export class Catalog { await this.inner.dropDatabase(name, options.ignoreMissing); } - /** List one page of databases; pass pageToken from a response for the next page. */ - async listDatabases( - options: { limit?: number; pageToken?: string } = {}, - ): Promise { + /** + * Iterate lazily over all database names using `for await...of`. + * pageToken resumes from a saved token; omitted starts at the beginning. + * pageLimit limits each REST response, not the total; omitted uses the server default. + * Request errors are raised during iteration and terminate the iterator. + * + * @example + * ```ts + * for await (const name of catalog.listDatabases({ pageLimit: 20 })) { + * console.log(name); + * } + * ``` + */ + listDatabases( + options: { pageLimit?: number; pageToken?: string } = {}, + ): DatabaseNames { if ( - options.limit !== undefined && - (!Number.isInteger(options.limit) || - options.limit <= 0 || - options.limit > 2147483647) + options.pageLimit !== undefined && + (!Number.isInteger(options.pageLimit) || + options.pageLimit <= 0 || + options.pageLimit > 2147483647) ) { throw new Error( "Database list limit must be an integer between 1 and 2147483647", ); } - return this.inner.listDatabases(options.limit, options.pageToken); + return new DatabaseNames( + this.inner.listDatabases(options.pageToken, options.pageLimit), + ); } } @@ -82,7 +130,9 @@ export class Catalog { * ```ts * const catalog = await connectCatalog("https://my-server.example", { apiKey: "secret" }); * const db = await catalog.createDatabase("analytics", { existOk: true }); - * const page = await catalog.listDatabases({ limit: 20 }); + * for await (const name of catalog.listDatabases({ pageLimit: 20 })) { + * console.log(name); + * } * ``` */ export async function connectCatalog( diff --git a/nodejs/lancedb/index.ts b/nodejs/lancedb/index.ts index 72b8c4a56..694db9fa7 100644 --- a/nodejs/lancedb/index.ts +++ b/nodejs/lancedb/index.ts @@ -646,6 +646,6 @@ export async function connectNamespace( export { Catalog, CatalogOptions, - ListDatabasesResponse, + DatabaseNames, connectCatalog, } from "./catalog"; diff --git a/nodejs/src/catalog.rs b/nodejs/src/catalog.rs index c2288bc4a..82edda5da 100644 --- a/nodejs/src/catalog.rs +++ b/nodejs/src/catalog.rs @@ -1,12 +1,12 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors -use std::sync::Arc; +use std::sync::{Arc, Mutex}; use std::time::Duration; -use lancedb::catalog::{ - CatalogConnection, CreateDatabaseRequest, DropDatabaseRequest, ListDatabasesRequest, -}; +use futures::{StreamExt, future::poll_fn}; + +use lancedb::catalog::{CatalogConnection, CreateDatabaseRequest, DropDatabaseRequest}; use napi::bindgen_prelude::*; use napi_derive::napi; @@ -25,10 +25,37 @@ pub struct CatalogOptions { pub oauth_config: Option, } -#[napi(object)] -pub struct ListDatabasesResponse { - pub databases: Vec, - pub page_token: Option, +/// A lazy iterator over database names with inspectable pagination state. +#[napi] +pub struct DatabaseNames { + inner: Mutex, + next_lock: futures::lock::Mutex<()>, +} + +#[napi] +impl DatabaseNames { + /// Number of names cached without another REST request. + #[napi] + pub fn num_page_results(&self) -> u32 { + self.inner.lock().unwrap().num_page_results() as u32 + } + + /// Continuation token for the next REST request. + #[napi] + pub fn page_token(&self) -> Option { + self.inner.lock().unwrap().page_token().map(str::to_owned) + } + + /// Fetch the next name, returning None when exhausted. + #[napi] + pub async fn next(&self) -> Result> { + // Serialize advances but allow synchronous inspection between polls. + let _guard = self.next_lock.lock().await; + poll_fn(|cx| self.inner.lock().unwrap().poll_next_unpin(cx)) + .await + .transpose() + .default_error() + } } #[napi] @@ -106,18 +133,14 @@ impl Catalog { .default_error() } #[napi] - pub async fn list_databases( + pub fn list_databases( &self, - limit: Option, page_token: Option, - ) -> Result { - let mut request = ListDatabasesRequest::default(); - request.limit = limit; - request.page_token = page_token; - let response = self.inner.list_databases(request).await.default_error()?; - Ok(ListDatabasesResponse { - databases: response.databases, - page_token: response.page_token, - }) + page_limit: Option, + ) -> DatabaseNames { + DatabaseNames { + inner: Mutex::new(self.inner.list_databases(page_token, page_limit)), + next_lock: futures::lock::Mutex::new(()), + } } } diff --git a/python/python/lancedb/__init__.py b/python/python/lancedb/__init__.py index d3a678359..45a69a92e 100644 --- a/python/python/lancedb/__init__.py +++ b/python/python/lancedb/__init__.py @@ -62,7 +62,6 @@ from .namespace import ( from .catalog import ( AsyncCatalog, Catalog, - ListDatabasesResponse, connect_catalog, connect_catalog_async, ) @@ -578,7 +577,6 @@ async def connect_async( __all__ = [ "Catalog", "AsyncCatalog", - "ListDatabasesResponse", "connect_catalog", "connect_catalog_async", "AsyncMaterializedView", diff --git a/python/python/lancedb/_lancedb.pyi b/python/python/lancedb/_lancedb.pyi index 176e57ac3..bbd6a3c5d 100644 --- a/python/python/lancedb/_lancedb.pyi +++ b/python/python/lancedb/_lancedb.pyi @@ -946,9 +946,15 @@ class Catalog: async def drop_database( self, name: str, *, ignore_missing: bool = False ) -> None: ... - async def list_databases( - self, *, limit: Optional[int] = None, page_token: Optional[str] = None - ) -> tuple[list[str], Optional[str]]: ... + def list_databases( + self, *, page_token: Optional[str] = None, page_limit: Optional[int] = None + ) -> DatabaseNames: ... + +class DatabaseNames: + def num_page_results(self) -> int: ... + def page_token(self) -> Optional[str]: ... + def __aiter__(self) -> DatabaseNames: ... + async def __anext__(self) -> str: ... async def connect_catalog( endpoint: str, diff --git a/python/python/lancedb/catalog.py b/python/python/lancedb/catalog.py index 4fd941ddd..70aab1bbb 100644 --- a/python/python/lancedb/catalog.py +++ b/python/python/lancedb/catalog.py @@ -3,9 +3,8 @@ """Remote catalogs manage databases through a server's root namespace.""" -from dataclasses import dataclass from datetime import timedelta -from typing import Any, Optional, Union +from typing import Any, AsyncIterator, Iterator, Optional, Union from . import _lancedb from .background_loop import LOOP @@ -14,12 +13,66 @@ from .remote import ClientConfig, OAuthConfig from .remote.db import RemoteDBConnection -@dataclass -class ListDatabasesResponse: - """A page of database names and an optional continuation token.""" +class AsyncDatabaseNames(AsyncIterator[str]): + """An async iterator of database names with pagination state. - databases: list[str] - page_token: Optional[str] = None + Returned by [list_databases][lancedb.catalog.AsyncCatalog.list_databases]. + """ + + def __init__(self, inner: _lancedb.DatabaseNames): + self._inner = inner + + def __aiter__(self) -> "AsyncDatabaseNames": + return self + + async def __anext__(self) -> str: + return await self._inner.__anext__() + + def num_page_results(self) -> int: + """Return the number of names available without another REST request.""" + return self._inner.num_page_results() + + def page_token(self) -> Optional[str]: + """Return the token for the next REST request. + + Before the first request, this is the supplied starting token (``None`` + starts at the beginning). After the final page is fetched, it is ``None``, + even if names remain cached. Drain the cache before saving a token to + avoid skipping those names when resuming. A failed request terminates + iteration and leaves its token available for resuming a new iterator. + """ + return self._inner.page_token() + + +class DatabaseNames(Iterator[str]): + """A synchronous iterator of database names with pagination state. + + Returned by [Catalog.list_databases][lancedb.catalog.Catalog.list_databases]. + """ + + def __init__(self, inner: AsyncDatabaseNames): + self._inner = inner + + def __iter__(self) -> "DatabaseNames": + return self + + def __next__(self) -> str: + try: + return LOOP.run(self._inner.__anext__()) + except StopAsyncIteration: + raise StopIteration from None + + def num_page_results(self) -> int: + """Return the number of names available without another REST request.""" + return self._inner.num_page_results() + + def page_token(self) -> Optional[str]: + """Return the token for the next REST request. + + See [page_token][lancedb.catalog.AsyncDatabaseNames.page_token] + for initial, cached, final-page, and error behavior. + """ + return self._inner.page_token() class AsyncCatalog: @@ -50,14 +103,25 @@ class AsyncCatalog: """Connect to an existing database by its logical name.""" return AsyncConnection(await self._inner.connect_database(name)) - async def list_databases( - self, *, limit: Optional[int] = None, page_token: Optional[str] = None - ) -> ListDatabasesResponse: - """List a page of databases. Pass the returned token for the next page.""" - names, token = await self._inner.list_databases( - limit=limit, page_token=page_token + def list_databases( + self, *, page_token: Optional[str] = None, page_limit: Optional[int] = None + ) -> AsyncDatabaseNames: + """Iterate lazily over all database names using ``async for``. + + ``page_token`` resumes from a saved token; ``None`` starts at the beginning. + ``page_limit`` sets the maximum names per REST response (not the total); + ``None`` uses the server default. Request errors are raised during iteration. + + Examples + -------- + ```python + async for name in catalog.list_databases(): + print(name) + ``` + """ + return AsyncDatabaseNames( + self._inner.list_databases(page_token=page_token, page_limit=page_limit) ) - return ListDatabasesResponse(names, token) async def drop_database(self, name: str, *, ignore_missing: bool = False) -> None: """Drop an empty database. A nonempty database is an error.""" @@ -73,7 +137,8 @@ class Catalog: ```python catalog = lancedb.connect_catalog("https://my-server.example", api_key="secret") db = catalog.create_database("analytics", exist_ok=True) - page = catalog.list_databases(limit=20) + for name in catalog.list_databases(): + print(name) ``` """ @@ -118,10 +183,17 @@ class Catalog: ) def list_databases( - self, *, limit: Optional[int] = None, page_token: Optional[str] = None - ) -> ListDatabasesResponse: - """List a page of databases. Pass the returned token for the next page.""" - return LOOP.run(self._inner.list_databases(limit=limit, page_token=page_token)) + self, *, page_token: Optional[str] = None, page_limit: Optional[int] = None + ) -> DatabaseNames: + """Iterate lazily over database names, fetching more results as needed. + + ``page_token`` resumes from a saved token; ``None`` starts at the beginning. + ``page_limit`` sets the maximum names per REST response (not the total); + ``None`` uses the server default. Request errors are raised during iteration. + """ + return DatabaseNames( + self._inner.list_databases(page_token=page_token, page_limit=page_limit) + ) def drop_database(self, name: str, *, ignore_missing: bool = False) -> None: """Drop an empty database. A nonempty database is an error.""" diff --git a/python/python/tests/test_catalog.py b/python/python/tests/test_catalog.py index ca5d68fdf..e7b7b1ec2 100644 --- a/python/python/tests/test_catalog.py +++ b/python/python/tests/test_catalog.py @@ -55,7 +55,7 @@ def test_catalog_sync_scope_and_serialization(catalog_server): (200, {}), (200, {"tables": []}), (200, {"tables": []}), - (200, {"namespaces": ["team/search"], "page_token": "next"}), + (200, {"namespaces": ["team/search"]}), (204, None), ] ) @@ -85,13 +85,12 @@ def test_catalog_sync_scope_and_serialization(catalog_server): with pytest.raises(ValueError, match="sql_host_override must use"): connection.execute_query_async("SELECT 1") assert restored.table_names() == [] - page = catalog.list_databases(limit=1, page_token="a/b") - assert page == lancedb.ListDatabasesResponse(["team/search"], "next") + assert list(catalog.list_databases()) == ["team/search"] catalog.drop_database("team/search", ignore_missing=True) assert requests[0][0] == "/v1/namespace/team%2Fsearch/create" assert requests[0][2] == {"mode": "ExistOk"} assert requests[1][0] == "/v1/namespace/team%2Fsearch/describe" - assert requests[4][0] == "/v1/namespace/$/list?limit=1&page_token=a%2Fb" + assert requests[4][0] == "/v1/namespace/$/list" assert requests[5][2] == {"mode": "Skip", "behavior": "Restrict"} for i, (_, headers, _) in enumerate(requests): headers = {key.lower(): value for key, value in headers.items()} @@ -138,3 +137,129 @@ async def test_catalog_async_and_errors(catalog_server): def test_catalog_requires_remote_endpoint(endpoint): with pytest.raises(ValueError, match="endpoint"): lancedb.connect_catalog(endpoint) + + +@pytest.mark.parametrize("asynchronous", [False, True]) +@pytest.mark.asyncio +@pytest.mark.parametrize("page_token,page_limit", [(None, None), ("start/token", 2)]) +async def test_database_names_iteration( + catalog_server, asynchronous, page_token, page_limit +): + endpoint, requests, responses = catalog_server + responses.extend( + [ + (200, {"namespaces": ["first", "second"], "page_token": "a/b"}), + (200, {"namespaces": [], "page_token": "next"}), + (200, {"namespaces": ["last", "final"], "page_token": ""}), + ] + ) + catalog = ( + await lancedb.connect_catalog_async(endpoint) + if asynchronous + else lancedb.connect_catalog(endpoint) + ) + names = catalog.list_databases(page_token=page_token, page_limit=page_limit) + assert requests == [] + assert names.num_page_results() == 0 + assert names.page_token() == page_token + for cached, expected in [(1, "first"), (0, "second")]: + assert (await names.__anext__() if asynchronous else next(names)) == expected + assert names.num_page_results() == cached + assert names.page_token() == "a/b" + assert len(requests) == 1 + assert (await names.__anext__() if asynchronous else next(names)) == "last" + assert names.num_page_results() == 1 + assert names.page_token() is None + assert (await names.__anext__() if asynchronous else next(names)) == "final" + assert names.num_page_results() == 0 + assert names.page_token() is None + for _ in range(2): + with pytest.raises(StopAsyncIteration if asynchronous else StopIteration): + if asynchronous: + await names.__anext__() + else: + next(names) + from urllib.parse import parse_qs, urlsplit + + for request, token in zip(requests, [page_token, "a/b", "next"]): + url = urlsplit(request[0]) + assert url.path == "/v1/namespace/$/list" + expected = {} + if token is not None: + expected["page_token"] = [token] + if page_limit is not None: + expected["limit"] = [str(page_limit)] + assert parse_qs(url.query) == expected + + +@pytest.mark.parametrize("asynchronous", [False, True]) +@pytest.mark.parametrize("fail", [False, True]) +@pytest.mark.asyncio +async def test_database_names_empty_or_error(catalog_server, asynchronous, fail): + endpoint, requests, responses = catalog_server + responses.append( + (401, {"error": "unauthorized"}) if fail else (200, {"namespaces": []}) + ) + catalog = ( + await lancedb.connect_catalog_async(endpoint) + if asynchronous + else lancedb.connect_catalog(endpoint) + ) + names = catalog.list_databases() + if fail: + with pytest.raises(HttpError): + if asynchronous: + await names.__anext__() + else: + next(names) + assert ([name async for name in names] if asynchronous else list(names)) == [] + assert len(requests) == 1 + + +@pytest.mark.parametrize("asynchronous", [False, True]) +@pytest.mark.asyncio +async def test_database_names_resume(catalog_server, asynchronous): + endpoint, requests, responses = catalog_server + responses.extend( + [ + (200, {"namespaces": ["first"], "page_token": "resume/token"}), + (200, {"namespaces": ["second"]}), + ] + ) + catalog = ( + await lancedb.connect_catalog_async(endpoint) + if asynchronous + else lancedb.connect_catalog(endpoint) + ) + names = catalog.list_databases(page_limit=1) + assert (await names.__anext__() if asynchronous else next(names)) == "first" + assert names.num_page_results() == 0 + resumed = catalog.list_databases(page_token=names.page_token(), page_limit=1) + assert resumed.page_token() == "resume/token" + assert len(requests) == 1 + assert ([name async for name in resumed] if asynchronous else list(resumed)) == [ + "second" + ] + assert resumed.page_token() is None + assert resumed.num_page_results() == 0 + assert requests[1][0] == "/v1/namespace/$/list?limit=1&page_token=resume%2Ftoken" + + +@pytest.mark.parametrize("asynchronous", [False, True]) +@pytest.mark.parametrize("page_limit", [0, 2**32 - 1]) +@pytest.mark.asyncio +async def test_database_names_invalid_limit(catalog_server, asynchronous, page_limit): + endpoint, requests, _ = catalog_server + catalog = ( + await lancedb.connect_catalog_async(endpoint) + if asynchronous + else lancedb.connect_catalog(endpoint) + ) + names = catalog.list_databases(page_limit=page_limit) + with pytest.raises(ValueError, match="limit"): + if asynchronous: + await names.__anext__() + else: + next(names) + assert names.num_page_results() == 0 + assert requests == [] diff --git a/python/src/catalog.rs b/python/src/catalog.rs index f61b409ff..e7cc56c49 100644 --- a/python/src/catalog.rs +++ b/python/src/catalog.rs @@ -1,12 +1,13 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors +use std::sync::{Arc, Mutex}; use std::time::Duration; -use lancedb::catalog::{ - CatalogConnection, CreateDatabaseRequest, DropDatabaseRequest, ListDatabasesRequest, -}; -use pyo3::exceptions::PyValueError; +use futures::{StreamExt, future::poll_fn}; + +use lancedb::catalog::{CatalogConnection, CreateDatabaseRequest, DropDatabaseRequest}; +use pyo3::exceptions::{PyStopAsyncIteration, PyValueError}; use pyo3::{Bound, PyAny, PyRef, PyResult, Python, pyclass, pyfunction, pymethods}; use crate::connection::{Connection, PyClientConfig}; @@ -67,19 +68,48 @@ impl Catalog { }) } - #[pyo3(signature = (*, limit=None, page_token=None))] - fn list_databases<'py>( - self_: PyRef<'py, Self>, - limit: Option, - page_token: Option, - ) -> PyResult> { + #[pyo3(signature = (*, page_token=None, page_limit=None))] + fn list_databases(&self, page_token: Option, page_limit: Option) -> DatabaseNames { + DatabaseNames { + inner: Arc::new(Mutex::new( + self.inner.list_databases(page_token, page_limit), + )), + next_lock: Arc::new(tokio::sync::Mutex::new(())), + } + } +} + +#[pyclass] +pub struct DatabaseNames { + inner: Arc>, + next_lock: Arc>, +} + +#[pymethods] +impl DatabaseNames { + fn num_page_results(&self, py: Python<'_>) -> usize { + py.detach(|| self.inner.lock().unwrap().num_page_results()) + } + + fn page_token(&self, py: Python<'_>) -> Option { + py.detach(|| self.inner.lock().unwrap().page_token().map(str::to_owned)) + } + + fn __aiter__(self_: PyRef<'_, Self>) -> PyRef<'_, Self> { + self_ + } + + fn __anext__(self_: PyRef<'_, Self>) -> PyResult> { let inner = self_.inner.clone(); + let next_lock = self_.next_lock.clone(); future_into_py(self_.py(), async move { - let mut request = ListDatabasesRequest::default(); - request.limit = limit; - request.page_token = page_token; - let response = inner.list_databases(request).await.infer_error()?; - Ok((response.databases, response.page_token)) + // Serialize advances while allowing synchronous state inspection + // between polls, including while a REST request is pending. + let _guard = next_lock.lock().await; + poll_fn(|cx| inner.lock().unwrap().poll_next_unpin(cx)) + .await + .ok_or_else(|| PyStopAsyncIteration::new_err(""))? + .infer_error() }) } } diff --git a/python/src/lib.rs b/python/src/lib.rs index ab04663c0..57d30d183 100644 --- a/python/src/lib.rs +++ b/python/src/lib.rs @@ -64,6 +64,7 @@ pub fn _lancedb(py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> { env_logger::init_from_env(env); m.add_class::()?; m.add_class::()?; + m.add_class::()?; m.add_function(wrap_pyfunction!(catalog::connect_catalog, m)?)?; m.add_class::()?; m.add_class::()?; diff --git a/rust/lancedb/src/catalog.rs b/rust/lancedb/src/catalog.rs index 5eaa1d49e..576eb8e88 100644 --- a/rust/lancedb/src/catalog.rs +++ b/rust/lancedb/src/catalog.rs @@ -15,7 +15,12 @@ //! ``` use std::fmt; +use std::pin::Pin; use std::sync::Arc; +use std::task::{Context, Poll}; + +use futures::future::BoxFuture; +use futures::{FutureExt, Stream}; use crate::Result; use crate::connection::Connection; @@ -118,6 +123,73 @@ pub struct ListDatabasesResponse { pub page_token: Option, } +/// A lazy stream of database names with inspectable pagination state. +/// +/// The continuation token advances when a page is fetched, so resuming from it +/// skips any names still cached in this stream. Drain the cache before saving a +/// token if those names must be included. Errors terminate the stream; the token +/// for the failed request remains available for resuming with a new stream. +pub struct DatabaseNames { + catalog: Arc, + names: std::vec::IntoIter, + page_token: Option, + page_limit: Option, + done: bool, + pending: Option>>, +} + +impl DatabaseNames { + /// Number of names available without another REST request. + pub fn num_page_results(&self) -> usize { + self.names.len() + } + + /// Token for the next REST request, or `None` after the last page is fetched. + /// + /// Before the first request, returns the supplied starting token (`None` + /// means start from the beginning). A final page can still have cached names. + pub fn page_token(&self) -> Option<&str> { + self.page_token.as_deref() + } +} + +impl Stream for DatabaseNames { + type Item = Result; + + fn poll_next(self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll> { + let this = self.get_mut(); + loop { + if let Some(name) = this.names.next() { + return Poll::Ready(Some(Ok(name))); + } + if this.done { + return Poll::Ready(None); + } + let pending = this.pending.get_or_insert_with(|| { + let catalog = this.catalog.clone(); + let request = ListDatabasesRequest { + page_token: this.page_token.clone(), + limit: this.page_limit, + }; + async move { catalog.list_databases(request).await }.boxed() + }); + let response = futures::ready!(pending.as_mut().poll(cx)); + this.pending = None; + match response { + Ok(response) => { + this.page_token = response.page_token.filter(|token| !token.is_empty()); + this.done = this.page_token.is_none(); + this.names = response.databases.into_iter(); + } + Err(error) => { + this.done = true; + return Poll::Ready(Some(Err(error))); + } + } + } + } +} + /// A backend that manages databases. Implementations own database lifecycle semantics. #[async_trait::async_trait] pub trait Catalog: Send + Sync + std::fmt::Debug + 'static { @@ -188,12 +260,35 @@ impl CatalogConnection { self.catalog.drop_database(request.into()).await } - /// List a page of databases. Pass [`ListDatabasesRequest::default`] for the first page. - pub async fn list_databases( + /// Iterate lazily over all database names, fetching more results as needed. + /// + /// `page_token` starts at a saved continuation token; `None` starts at the + /// beginning. `page_limit` limits each REST response (not the whole stream); + /// `None` uses the server default. Errors terminate the listing. + /// + /// ``` + /// # async fn example(catalog: &lancedb::catalog::CatalogConnection) -> lancedb::Result<()> { + /// use futures::TryStreamExt; + /// let mut names = catalog.list_databases(None, None); + /// while let Some(name) = names.try_next().await? { + /// println!("{name}"); + /// } + /// # Ok(()) + /// # } + /// ``` + pub fn list_databases( &self, - request: ListDatabasesRequest, - ) -> Result { - self.catalog.list_databases(request).await + page_token: Option, + page_limit: Option, + ) -> DatabaseNames { + DatabaseNames { + catalog: self.catalog.clone(), + names: Vec::new().into_iter(), + page_token, + page_limit, + done: false, + pending: None, + } } /// Connect to a database without creating it if it is missing. diff --git a/rust/lancedb/src/remote/catalog.rs b/rust/lancedb/src/remote/catalog.rs index 1c0129889..72b77a87e 100644 --- a/rust/lancedb/src/remote/catalog.rs +++ b/rust/lancedb/src/remote/catalog.rs @@ -416,6 +416,7 @@ mod tests { RemoteCatalog::try_new(&endpoint, options).unwrap(), )); let page = catalog + .catalog() .list_databases(ListDatabasesRequest::default().limit(1).page_token("a/b")) .await .unwrap(); @@ -443,6 +444,7 @@ mod tests { .unwrap(); assert!( catalog + .catalog() .list_databases(ListDatabasesRequest::default()) .await .unwrap() @@ -538,6 +540,128 @@ mod tests { ); } + #[tokio::test] + async fn database_names_follow_pages_lazily() { + use futures::TryStreamExt; + + let (endpoint, task) = server(vec![ + ( + 200, + json!({"namespaces": ["first", "second"], "page_token": "a/b"}), + ), + (200, json!({"namespaces": [], "page_token": "next"})), + (200, json!({"namespaces": ["last"], "page_token": ""})), + ]) + .await; + let catalog = CatalogConnection::new(Arc::new( + RemoteCatalog::try_new(endpoint, RemoteCatalogOptions::default()).unwrap(), + )); + let mut names = catalog.list_databases(None, None); + drop(catalog); + assert_eq!(names.num_page_results(), 0); + assert_eq!(names.page_token(), None); + assert_eq!(names.try_next().await.unwrap().as_deref(), Some("first")); + assert_eq!(names.num_page_results(), 1); + assert_eq!(names.page_token(), Some("a/b")); + assert_eq!(names.try_next().await.unwrap().as_deref(), Some("second")); + assert_eq!(names.num_page_results(), 0); + assert_eq!(names.page_token(), Some("a/b")); + assert!(!task.is_finished()); + assert_eq!(names.try_next().await.unwrap().as_deref(), Some("last")); + assert_eq!(names.try_next().await.unwrap(), None); + assert_eq!(names.try_next().await.unwrap(), None); + let requests = task.await.unwrap(); + assert_eq!(requests[0].line, "GET /v1/namespace/$/list HTTP/1.1"); + assert_eq!( + requests[1].line, + "GET /v1/namespace/$/list?page_token=a%2Fb HTTP/1.1" + ); + assert_eq!( + requests[2].line, + "GET /v1/namespace/$/list?page_token=next HTTP/1.1" + ); + } + + #[tokio::test] + async fn database_names_stop_after_error() { + use futures::StreamExt; + + let (endpoint, task) = server(vec![ + (200, json!({"namespaces": ["first"], "page_token": "next"})), + (401, json!({"error": "unauthorized"})), + ]) + .await; + let catalog = CatalogConnection::new(Arc::new( + RemoteCatalog::try_new(endpoint, RemoteCatalogOptions::default()).unwrap(), + )); + let mut names = catalog.list_databases(None, None); + assert_eq!(names.next().await.unwrap().unwrap(), "first"); + assert!(names.next().await.unwrap().is_err()); + assert_eq!(names.num_page_results(), 0); + assert_eq!(names.page_token(), Some("next")); + assert!(names.next().await.is_none()); + task.await.unwrap(); + } + + #[tokio::test] + async fn database_names_can_resume_with_page_limit() { + use futures::TryStreamExt; + let (endpoint, task) = server(vec![ + ( + 200, + json!({"namespaces": ["first", "second"], "page_token": "next/token"}), + ), + (200, json!({"namespaces": ["third", "fourth"]})), + ]) + .await; + let catalog = CatalogConnection::new(Arc::new( + RemoteCatalog::try_new(endpoint, RemoteCatalogOptions::default()).unwrap(), + )); + let mut names = catalog.list_databases(Some("start/token".into()), Some(2)); + assert_eq!(names.page_token(), Some("start/token")); + assert_eq!(names.num_page_results(), 0); + assert_eq!(names.try_next().await.unwrap().as_deref(), Some("first")); + assert_eq!(names.page_token(), Some("next/token")); + assert_eq!(names.num_page_results(), 1); + assert_eq!(names.try_next().await.unwrap().as_deref(), Some("second")); + assert_eq!(names.num_page_results(), 0); + let token = names.page_token().map(str::to_owned); + drop(names); + let mut resumed = catalog.list_databases(token, Some(2)); + assert_eq!(resumed.try_next().await.unwrap().as_deref(), Some("third")); + assert_eq!(resumed.page_token(), None); + assert_eq!(resumed.num_page_results(), 1); + assert_eq!(resumed.try_next().await.unwrap().as_deref(), Some("fourth")); + assert_eq!(resumed.num_page_results(), 0); + assert_eq!(resumed.try_next().await.unwrap(), None); + let requests = task.await.unwrap(); + assert_eq!( + requests[0].line, + "GET /v1/namespace/$/list?limit=2&page_token=start%2Ftoken HTTP/1.1" + ); + assert_eq!( + requests[1].line, + "GET /v1/namespace/$/list?limit=2&page_token=next%2Ftoken HTTP/1.1" + ); + } + + #[tokio::test] + async fn database_names_reject_invalid_page_limit() { + use futures::TryStreamExt; + let catalog = CatalogConnection::new(Arc::new( + RemoteCatalog::try_new("http://127.0.0.1:1", RemoteCatalogOptions::default()).unwrap(), + )); + for limit in [0, u32::MAX] { + let mut names = catalog.list_databases(None, Some(limit)); + assert!(matches!( + names.try_next().await, + Err(Error::InvalidInput { .. }) + )); + assert_eq!(names.num_page_results(), 0); + assert_eq!(names.try_next().await.unwrap(), None); + } + } + #[tokio::test] async fn catalog_validates_before_sending_requests() { for endpoint in [ From 7e8f0d49827c6921c9fbe6aa6b34435a3df5188c Mon Sep 17 00:00:00 2001 From: Jack Ye Date: Mon, 5 Oct 2026 21:33:34 -0700 Subject: [PATCH 23/25] refactor: always fully refresh materialized views (#4373) Simplify experimental materialized views to one output-only storage layout and one full-rebuild refresh implementation. ## Current layout Local materialized views currently maintain incremental-refresh state alongside the materialized values: - an internal `__source_row_id` column for source provenance; - `mv.definition` plus `mv.incarnation`; - source version/timestamp, view version, and last-refresh watermarks; - optional `mv.staging` state for table-function sources; and - stable-row-ID requirements on the source table. Refresh classifies source changes, appends or evicts rows when possible, and falls back to a rebuild for unsupported deltas. Remote create/refresh also use separate REST mutation paths. ## New layout An MV is an ordinary Lance backing table containing only: - the defining query's output columns; - its current data fragments; and - `mv.definition`, encoded as a versioned SQL envelope such as `{"kind":"query","format":1,"query":"SELECT ..."}`. There is no provenance column, incarnation, source/view watermark, staging metadata, or stable-row-ID requirement. Local refresh may still pin a source version for reproducibility, but it always recomputes the complete result. Full refresh streams the new result into uncommitted fragments and then publishes a single transaction that removes every old fragment and installs the new set. A shared conflict token prevents concurrent replacements from both committing. This fragment-replacement primitive is also used by Sophon's SQL worker. ## New remote create workflow ```text Connection::create_materialized_view(...) -> builder renders the defining SELECT -> remote Database receives a CreateMaterializedViewRequest -> submit CREATE MATERIALIZED VIEW ... AS ... through Flight SQL -> retain the SQL Query handle while the Job is running -> consume the durable SQL-job result -> open the created table and read mv.definition -> return MaterializedView ``` Remote refresh similarly submits `REFRESH MATERIALIZED VIEW` through Flight SQL. Cancelling either wrapper forwards cancellation to the retained SQL query before aborting the local task, so the server operation is not silently left running. ## API changes - remove incremental/no-op modes and the `full` switch; - remove distributed grouped/partitioned refresh APIs and native vector-source MV APIs; - keep full-refresh results across Rust, Python, and TypeScript; - preserve list/describe/drop as object-management operations while routing create/refresh mutations through SQL. The storage contract is experimental and has no compatibility shim; views using the removed layout must be recreated. --- docs/src/js/classes/Connection.md | 4 - docs/src/js/classes/MaterializedView.md | 13 +- .../RefreshMaterializedViewResult.md | 2 +- docs/src/python/python.md | 27 - nodejs/__test__/materialized_view.test.ts | 45 +- nodejs/lancedb/connection.ts | 4 - nodejs/lancedb/materialized_view.ts | 22 +- nodejs/lancedb/table.ts | 4 +- nodejs/src/table.rs | 15 +- python/python/lancedb/__init__.py | 1 - python/python/lancedb/_lancedb.pyi | 8 +- python/python/lancedb/db.py | 33 +- python/python/lancedb/materialized_view.py | 140 +- .../python/tests/test_materialized_views.py | 208 +- python/src/connection.rs | 20 +- python/src/table.rs | 20 +- rust/lancedb/src/job.rs | 51 +- rust/lancedb/src/materialized_view.rs | 2735 +--------- .../src/materialized_view/differential.rs | 730 --- .../src/materialized_view/duplicate_pairs.rs | 478 -- rust/lancedb/src/materialized_view/grouped.rs | 135 +- .../src/materialized_view/grouped_units.rs | 1368 ----- .../src/materialized_view/partitioned.rs | 192 - rust/lancedb/src/materialized_view/query.rs | 85 +- rust/lancedb/src/materialized_view/refresh.rs | 4743 +---------------- .../src/materialized_view/vector_dedup.rs | 636 --- rust/lancedb/src/remote/db.rs | 90 +- rust/lancedb/src/remote/sql.rs | 41 +- rust/lancedb/src/remote/sql_test.rs | 151 + rust/lancedb/src/remote/table.rs | 216 +- rust/lancedb/src/table.rs | 4 +- .../src/table/datafusion/udtf/vector_query.rs | 99 +- rust/lancedb/tests/duplicate_pairs.rs | 208 +- 33 files changed, 1030 insertions(+), 11498 deletions(-) delete mode 100644 rust/lancedb/src/materialized_view/differential.rs delete mode 100644 rust/lancedb/src/materialized_view/duplicate_pairs.rs delete mode 100644 rust/lancedb/src/materialized_view/grouped_units.rs delete mode 100644 rust/lancedb/src/materialized_view/partitioned.rs delete mode 100644 rust/lancedb/src/materialized_view/vector_dedup.rs diff --git a/docs/src/js/classes/Connection.md b/docs/src/js/classes/Connection.md index f1aace87b..4bb769a0e 100644 --- a/docs/src/js/classes/Connection.md +++ b/docs/src/js/classes/Connection.md @@ -183,10 +183,6 @@ Define a materialized view named `name` over the table `source`. The view is populated before creation returns. Set `withNoData` to create only its definition and empty backing table. The view is a normal table: it can be queried, indexed and searched, and it appears in `tableNames`. -The source table must have stable row ids (create it with -the `newTableEnableStableRowIds` storage option); they keep the view's -provenance valid across source compactions and cannot be enabled after -a table exists. #### Parameters diff --git a/docs/src/js/classes/MaterializedView.md b/docs/src/js/classes/MaterializedView.md index 58eaa3c13..0e2413328 100644 --- a/docs/src/js/classes/MaterializedView.md +++ b/docs/src/js/classes/MaterializedView.md @@ -65,21 +65,14 @@ refresh(options?): Promise Recompute the view from its source. -The refresh is incremental when the source's changes can be reconciled -into the view -- rows added, changed or removed since the last one -- -and otherwise rebuilds. `full` forces a rebuild; `sourceVersion` -refreshes to that source version instead of the latest. - -Concurrent refreshes of one view do not duplicate its rows. Two that -plan the same source rows conflict on commit, and the loser throws -rather than writing them a second time. +Every refresh rebuilds the complete view. For local views, +`sourceVersion` refreshes to that source version instead of the latest; +remote SQL refreshes do not support source-version pinning. #### Parameters * **options?** -* **options.full?**: `boolean` - * **options.sourceVersion?**: `number` #### Returns diff --git a/docs/src/js/interfaces/RefreshMaterializedViewResult.md b/docs/src/js/interfaces/RefreshMaterializedViewResult.md index cb7100cd8..1c8b8bc21 100644 --- a/docs/src/js/interfaces/RefreshMaterializedViewResult.md +++ b/docs/src/js/interfaces/RefreshMaterializedViewResult.md @@ -14,7 +14,7 @@ mode: string; ``` -How the view was brought up to date: "rebuild", "incremental" or "no_op". +How the view was brought up to date: "rebuild". *** diff --git a/docs/src/python/python.md b/docs/src/python/python.md index f946fbb13..814bcb12a 100644 --- a/docs/src/python/python.md +++ b/docs/src/python/python.md @@ -199,33 +199,6 @@ listing a storage directory. ::: lancedb.materialized_view.MaterializedViewDefinition -::: lancedb.vector_dedup - -::: lancedb.materialized_view.VectorDedupSource - -For an existing indexed source, declare and materialize a dedup result without -writing SQL. Creation captures the source version once and waits for the complete -result; remote connections use the service's MV jobs. - -```python -from lancedb import vector_dedup - -view = db.create_materialized_view( - "images_clean", - vector_dedup("images", column="phash", distance_threshold=4), -) -cleaned = view.table -``` - -To submit without waiting, call `db.create_materialized_view_async(...)` with the -same source expression and wait on the returned job. To declare only, pass -`with_no_data=True`, then use `view.refresh_async().wait()` when ready. Pass -`dataset_version=...` to `vector_dedup` for an explicit snapshot. The default -policy retains direct representatives (A-B-C without A-C keeps A and C), preserves -the source, and materializes its original columns. Only within-segment/partition -pairs are covered, using the index's distance representation. - - ## Views ::: lancedb.view.ViewDescription diff --git a/nodejs/__test__/materialized_view.test.ts b/nodejs/__test__/materialized_view.test.ts index 6739320aa..f0c97e13a 100644 --- a/nodejs/__test__/materialized_view.test.ts +++ b/nodejs/__test__/materialized_view.test.ts @@ -16,15 +16,11 @@ describe("materialized views", () => { beforeEach(async () => { tmpDir = tmp.dirSync({ unsafeCleanup: true }); db = await connect(tmpDir.name); - await db.createTable( - "people", - [ - { name: "ada", age: 36 }, - { name: "kid", age: 7 }, - { name: "grace", age: 85 }, - ], - { storageOptions: { newTableEnableStableRowIds: "true" } }, - ); + await db.createTable("people", [ + { name: "ada", age: 36 }, + { name: "kid", age: 7 }, + { name: "grace", age: 85 }, + ]); }); afterEach(() => tmpDir.removeCallback()); @@ -52,19 +48,9 @@ describe("materialized views", () => { "SELECT * FROM people", ); - for (const [format, fn] of [ - [3, "vector_duplicate_pairs"], - [4, "vector_dedup"], - ]) { - const native = `SELECT * FROM ${fn}('images', 3, 'phash', 4)`; - expect(read(JSON.stringify({ format, query: native })).query).toBe( - native, - ); - } - // A newer writer's layout is reported, never guessed at. for (const newer of [ - `{"format":5,"query":${JSON.stringify(query)}}`, + `{"format":3,"query":${JSON.stringify(query)}}`, '{"kind":"select_v3","source_table":"people"}', ]) { expect(() => read(newer)).toThrow(/cannot refresh/); @@ -106,7 +92,7 @@ describe("materialized views", () => { ); }); - it("refreshes incrementally after an append", async () => { + it("fully refreshes after an append", async () => { const view = await db.createMaterializedView("copy", "people", { withNoData: true, }); @@ -115,11 +101,11 @@ describe("materialized views", () => { const people = await db.openTable("people"); await people.add([{ name: "alan", age: 41 }]); const result = await view.refresh(); - expect(result.mode).toBe("incremental"); - expect(Number(result.rowsWritten)).toBe(1); + expect(result.mode).toBe("rebuild"); + expect(Number(result.rowsWritten)).toBe(4); expect(await view.table().countRows()).toBe(4); - expect((await view.refresh()).mode).toBe("no_op"); + expect((await view.refresh()).mode).toBe("rebuild"); }); it("lists views and rejects non-views", async () => { @@ -172,9 +158,7 @@ describe("materialized views", () => { }); it("quotes bare select names", async () => { - await db.createTable("odd_names", [{ "order item": "widget" }], { - storageOptions: { newTableEnableStableRowIds: "true" }, - }); + await db.createTable("odd_names", [{ "order item": "widget" }]); const view = await db.createMaterializedView("quoted", "odd_names", { select: ["order item"], withNoData: true, @@ -183,10 +167,9 @@ describe("materialized views", () => { expect(Number(result.rowsWritten)).toBe(1); }); - it("requires stable row ids on the source", async () => { + it("does not require stable row ids on the source", async () => { await db.createTable("plain", [{ x: 1 }]); - await expect(db.createMaterializedView("v", "plain")).rejects.toThrow( - "stable row ids", - ); + const view = await db.createMaterializedView("v", "plain"); + expect(await view.table().countRows()).toBe(1); }); }); diff --git a/nodejs/lancedb/connection.ts b/nodejs/lancedb/connection.ts index d2a34669e..708f10fb4 100644 --- a/nodejs/lancedb/connection.ts +++ b/nodejs/lancedb/connection.ts @@ -325,10 +325,6 @@ export abstract class Connection { * The view is populated before creation returns. Set `withNoData` to create * only its definition and empty backing table. The view is a normal table: * it can be queried, indexed and searched, and it appears in `tableNames`. - * The source table must have stable row ids (create it with - * the `newTableEnableStableRowIds` storage option); they keep the view's - * provenance valid across source compactions and cannot be enabled after - * a table exists. */ abstract createMaterializedView( name: string, diff --git a/nodejs/lancedb/materialized_view.ts b/nodejs/lancedb/materialized_view.ts index a59a3a5f6..7cf1690e0 100644 --- a/nodejs/lancedb/materialized_view.ts +++ b/nodejs/lancedb/materialized_view.ts @@ -9,10 +9,9 @@ export const DEFINITION_META_KEY = "mv.definition"; /** * The newest stored layout this version reads: `{"format": N, "query": ""}`, - * format 2 being a query with `GROUP BY`, format 3 native pairs and format 4 - * native dedup results. + * format 2 being a query with `GROUP BY`. */ -export const DEFINITION_FORMAT = 4; +export const DEFINITION_FORMAT = 2; /** * The query that defines a materialized view, as stored: @@ -188,23 +187,14 @@ export class MaterializedView { /** * Recompute the view from its source. * - * The refresh is incremental when the source's changes can be reconciled - * into the view -- rows added, changed or removed since the last one -- - * and otherwise rebuilds. `full` forces a rebuild; `sourceVersion` - * refreshes to that source version instead of the latest. - * - * Concurrent refreshes of one view do not duplicate its rows. Two that - * plan the same source rows conflict on commit, and the loser throws - * rather than writing them a second time. + * Every refresh rebuilds the complete view. For local views, + * `sourceVersion` refreshes to that source version instead of the latest; + * remote SQL refreshes do not support source-version pinning. */ async refresh(options?: { - full?: boolean; sourceVersion?: number; }): Promise { validateNonNegativeInteger(options?.sourceVersion, "sourceVersion"); - return await this.inner.refreshMaterializedView( - options?.full, - options?.sourceVersion, - ); + return await this.inner.refreshMaterializedView(options?.sourceVersion); } } diff --git a/nodejs/lancedb/table.ts b/nodejs/lancedb/table.ts index d4c5db509..6bdc69418 100644 --- a/nodejs/lancedb/table.ts +++ b/nodejs/lancedb/table.ts @@ -685,7 +685,6 @@ export abstract class Table { * @ignore */ abstract refreshMaterializedView( - full?: boolean, sourceVersion?: number, ): Promise; @@ -1420,10 +1419,9 @@ export class LocalTable extends Table { } async refreshMaterializedView( - full?: boolean, sourceVersion?: number, ): Promise { - return await this.inner.refreshMaterializedView(full, sourceVersion); + return await this.inner.refreshMaterializedView(sourceVersion); } async materializedViewDefinition(): Promise { diff --git a/nodejs/src/table.rs b/nodejs/src/table.rs index f5c3b2987..79b335c37 100644 --- a/nodejs/src/table.rs +++ b/nodejs/src/table.rs @@ -469,13 +469,12 @@ impl Table { #[napi(catch_unwind)] pub async fn refresh_materialized_view( &self, - full: Option, source_version: Option, ) -> napi::Result { let view = lancedb::MaterializedView::from_table(self.inner_ref()?.clone()) .await .default_error()?; - let mut builder = view.refresh().full(full.unwrap_or(false)); + let mut builder = view.refresh(); if let Some(version) = source_version { let version = u64::try_from(version).map_err(|_| { napi::Error::from_reason("sourceVersion must be a non-negative integer") @@ -492,11 +491,9 @@ impl Table { let view = lancedb::MaterializedView::from_table(inner) .await .default_error()?; - view.definition().to_json().map_err(|err| { - napi::Error::from_reason(format!( - "failed to serialize materialized-view definition: {err}" - )) - }) + Ok(lancedb::materialized_view::definition_metadata_from_sql( + view.definition_sql(), + )) } #[napi(catch_unwind)] @@ -1608,7 +1605,7 @@ impl From for FunctionErrors { #[napi(object)] pub struct RefreshMaterializedViewResult { - /// How the view was brought up to date: "rebuild", "incremental" or "no_op". + /// How the view was brought up to date: "rebuild". pub mode: String, pub rows_written: i64, pub source_version: i64, @@ -1619,8 +1616,6 @@ impl From for RefreshMaterializedViewRes fn from(value: lancedb::RefreshMaterializedViewResult) -> Self { let mode = match value.mode { lancedb::RefreshMode::Rebuild => "rebuild", - lancedb::RefreshMode::Incremental => "incremental", - lancedb::RefreshMode::NoOp => "no_op", }; Self { mode: mode.to_string(), diff --git a/python/python/lancedb/__init__.py b/python/python/lancedb/__init__.py index 45a69a92e..213794ef3 100644 --- a/python/python/lancedb/__init__.py +++ b/python/python/lancedb/__init__.py @@ -46,7 +46,6 @@ from .materialized_view import ( AsyncMaterializedView, MaterializedView, MaterializedViewDefinition, - vector_dedup as vector_dedup, ) from .view import ViewDescription as ViewDescription from .table import AsyncTable, Table diff --git a/python/python/lancedb/_lancedb.pyi b/python/python/lancedb/_lancedb.pyi index bbd6a3c5d..8ff53bcbe 100644 --- a/python/python/lancedb/_lancedb.pyi +++ b/python/python/lancedb/_lancedb.pyi @@ -255,8 +255,6 @@ class Connection(object): filter: Optional[str] = None, limit: Optional[int] = None, with_no_data: bool = False, - *, - vector_source_json: Optional[str] = None, ) -> Table: ... async def create_materialized_view_async( self, @@ -266,8 +264,6 @@ class Connection(object): filter: Optional[str] = None, limit: Optional[int] = None, with_no_data: bool = False, - *, - vector_source_json: Optional[str] = None, ) -> Job: ... async def list_materialized_views(self) -> List[str]: ... async def drop_materialized_view( @@ -500,10 +496,10 @@ class Table: limit: Optional[int] = None, ) -> FunctionErrors: ... async def refresh_materialized_view( - self, full: bool = False, source_version: Optional[int] = None + self, source_version: Optional[int] = None ) -> RefreshMaterializedViewResult: ... async def refresh_materialized_view_async( - self, full: bool = False, source_version: Optional[int] = None + self, source_version: Optional[int] = None ) -> Job: ... async def materialized_view_definition(self) -> str: ... async def add_columns_with_schema(self, schema: pa.Schema) -> AddColumnsResult: ... diff --git a/python/python/lancedb/db.py b/python/python/lancedb/db.py index 1af3c1b4a..3a9815cb4 100644 --- a/python/python/lancedb/db.py +++ b/python/python/lancedb/db.py @@ -57,7 +57,6 @@ from .materialized_view import ( AsyncMaterializedView, MaterializedView, MaterializedViewSource, - VectorDedupSource, SelectArg, normalize_select, ) @@ -613,21 +612,12 @@ class DBConnection(EnforceOverrides): table. The view is a normal table: it can be queried, indexed and searched, and it appears in ``table_names``. - Ordinary source tables must have stable row ids (create them with the - ``new_table_enable_stable_row_ids`` storage option): they keep the - view's provenance valid across source compactions, and cannot be - enabled after a table exists. Native dedup sources also support physical - row IDs interpreted against their pinned snapshot. - Parameters ---------- name: str The name of the view. - source: str or VectorDedupSource - The name of the source table, or an indexed dedup source declared - with [vector_dedup][lancedb.vector_dedup]. Dedup sources capture a - fixed snapshot and preserve the source table. They accept no - additional select, where or limit options. + source: str + The name of the source table. select: list or dict, optional The view's columns: column names, ``(alias, SQL expression)`` pairs, or a dict of the same. Omitting it selects every source @@ -1654,10 +1644,7 @@ class LanceDBConnection(DBConnection): Examples -------- >>> import lancedb - >>> db = lancedb.connect( - ... "./.lancedb", - ... storage_options={"new_table_enable_stable_row_ids": "true"}, - ... ) + >>> db = lancedb.connect("./.lancedb") >>> data = [{"name": "ada", "age": 36}, {"name": "kid", "age": 7}] >>> table = db.create_table("people", data) >>> view = db.create_materialized_view( @@ -2625,19 +2612,7 @@ class AsyncConnection(object): where: Optional[str], limit: Optional[int], ) -> Tuple[str, Dict[str, str]]: - if not isinstance(source, VectorDedupSource): - return source, {} - if select is not None or where is not None or limit is not None: - raise ValueError( - "vector_dedup cannot be combined with select, where or limit" - ) - version = source.dataset_version - if version is None: - table = await self.open_table(source.source) - version = await table.version() - return source.source, { - "vector_source_json": source._native_source_json(version) - } + return source, {} async def create_materialized_view( self, diff --git a/python/python/lancedb/materialized_view.py b/python/python/lancedb/materialized_view.py index b4d455870..6342641ff 100644 --- a/python/python/lancedb/materialized_view.py +++ b/python/python/lancedb/materialized_view.py @@ -6,11 +6,11 @@ maintained by refresh. See ``DBConnection.create_materialized_view``.""" from __future__ import annotations -import json -import math -from dataclasses import dataclass from typing import TYPE_CHECKING, Dict, List, Optional, Sequence, Tuple, Union +import json +from dataclasses import dataclass + from .background_loop import LOOP from .job import AsyncJob, Job, _typed_job @@ -21,7 +21,6 @@ if TYPE_CHECKING: from .table import AsyncTable, LanceTable DEFINITION_META_KEY = b"mv.definition" -_MAX_FLOAT32 = float.fromhex("0x1.fffffep+127") SelectArg = Union[ str, @@ -31,104 +30,12 @@ SelectArg = Union[ ] -@dataclass(frozen=True) -class VectorDedupSource: - """A declarative source of retained original rows from an indexed snapshot. - - Construct with [vector_dedup][lancedb.vector_dedup] and pass it as the - ``source`` of ``create_materialized_view`` or - ``create_materialized_view_async``. An omitted ``dataset_version`` is - captured once when creation is submitted, not when this object is made. - Refreshes keep that captured version. The source table is never modified. - """ - - source: str - column: str - distance_threshold: float - dataset_version: Optional[int] = None - - def __post_init__(self): - for name in ("source", "column"): - value = getattr(self, name) - if not isinstance(value, str) or not value: - raise ValueError(f"{name} must be a non-empty string") - if self.dataset_version is not None and ( - type(self.dataset_version) is not int - or not 0 < self.dataset_version < 2**64 - ): - raise ValueError("dataset_version must be a positive uint64 integer") - value = self.distance_threshold - if isinstance(value, bool) or not isinstance(value, (int, float)): - raise TypeError("distance_threshold must be a number") - try: - value = float(value) - except OverflowError as exc: - raise ValueError("distance_threshold must fit a finite float32") from exc - if not math.isfinite(value) or abs(value) > _MAX_FLOAT32: - raise ValueError("distance_threshold must fit a finite float32") - object.__setattr__(self, "distance_threshold", value) - - def _native_source_json(self, version: int) -> str: - return json.dumps( - { - "kind": "Dedup", - "dataset_version": version, - "column": self.column, - "distance_threshold": repr(self.distance_threshold), - }, - allow_nan=False, - ) +MaterializedViewSource = str -def vector_dedup( - source: str, - *, - column: str, - distance_threshold: float, - dataset_version: Optional[int] = None, -) -> VectorDedupSource: - """Declare an indexed dedup source for a materialized view. - - The default policy keeps the smallest unassigned snapshot row ID and removes - only its direct qualifying neighbors: an A-B-C chain without an A-C edge - retains A and C. Rows with no pair, including null vectors, survive. - Only same-segment/same-IVF-partition pairs are considered; quantized distances - use reconstructed index vectors. The index must cover the selected snapshot. - - ``source`` is an exact table name in the connection's root namespace, just - as for ``create_materialized_view``. ``dataset_version=None`` captures the - source's version when creation is submitted. Pass an explicit positive - version to reproduce a previous snapshot. The result contains original - source columns and rows. Do not combine this source with ``select``, - ``where`` or ``limit``; query the resulting table for further transforms. - - Creation follows the usual MV contract: by default it waits for the result. - Use ``with_no_data=True`` to declare only, or - ``create_materialized_view_async`` to get a job handle. On Cloud/Enterprise, - execution uses server-side MV registry jobs; local connections run in process. - - Examples - -------- - Given a connected ``db`` and an indexed ``images.phash`` column:: - - from lancedb import vector_dedup - - view = db.create_materialized_view( - "images_clean", - vector_dedup("images", column="phash", distance_threshold=4), - ) - cleaned = view.table - """ - return VectorDedupSource(source, column, distance_threshold, dataset_version) - - -MaterializedViewSource = Union[str, VectorDedupSource] - - -DEFINITION_FORMAT = 4 +DEFINITION_FORMAT = 2 """The newest stored layout this version reads: ``{"format": N, "query": ""}``, -format 2 being a query with ``GROUP BY``, format 3 native pairs and format 4 -native dedup results. A ``kind`` key beside it is for +format 2 being a query with ``GROUP BY``. A ``kind`` key beside it is for readers older than the format number.""" @@ -272,38 +179,31 @@ class AsyncMaterializedView: return _definition_from_json(raw) async def refresh( - self, *, full: bool = False, source_version: Optional[int] = None + self, *, source_version: Optional[int] = None ) -> "RefreshMaterializedViewResult": """Recompute the view from its source. - The refresh is incremental when the source's changes can be - reconciled into the view -- rows added, changed or removed since the - last one -- and otherwise rebuilds. ``full=True`` forces a rebuild; + Every refresh rebuilds the complete view. For local views, ``source_version`` refreshes to that source version instead of the - latest. - - Concurrent refreshes of one view do not duplicate its rows. Two that - plan the same source rows conflict on commit, and the loser raises - rather than writing them a second time. + latest; remote SQL refreshes do not support source-version pinning. """ return await self._table._inner.refresh_materialized_view( - full=full, source_version=source_version + source_version=source_version ) async def refresh_async( - self, *, full: bool = False, source_version: Optional[int] = None + self, *, source_version: Optional[int] = None ) -> "AsyncJob[RefreshMaterializedViewResult]": """Submit a refresh and return its job without waiting. - The job may already be complete for a local view. On LanceDB Cloud - and Enterprise, its ``id`` is the server job identifier returned by - the refresh endpoint. + The job may already be complete for a local view. Remote refreshes are + submitted through the SQL service. """ from ._lancedb import RefreshMaterializedViewResult return _typed_job( await self._table._inner.refresh_materialized_view_async( - full=full, source_version=source_version + source_version=source_version ), RefreshMaterializedViewResult.from_json, ) @@ -335,22 +235,18 @@ class MaterializedView: return LOOP.run(self._async.definition()) def refresh( - self, *, full: bool = False, source_version: Optional[int] = None + self, *, source_version: Optional[int] = None ) -> "RefreshMaterializedViewResult": """Recompute the view from its source. See [AsyncMaterializedView.refresh][lancedb.materialized_view.AsyncMaterializedView.refresh].""" - return LOOP.run(self._async.refresh(full=full, source_version=source_version)) + return LOOP.run(self._async.refresh(source_version=source_version)) def refresh_async( - self, *, full: bool = False, source_version: Optional[int] = None + self, *, source_version: Optional[int] = None ) -> "Job[RefreshMaterializedViewResult]": """Submit a refresh and return its job without waiting. See [AsyncMaterializedView.refresh_async][lancedb.materialized_view.AsyncMaterializedView.refresh_async]. """ - return Job( - LOOP.run( - self._async.refresh_async(full=full, source_version=source_version) - ) - ) + return Job(LOOP.run(self._async.refresh_async(source_version=source_version))) diff --git a/python/python/tests/test_materialized_views.py b/python/python/tests/test_materialized_views.py index 1ee21fbac..bef173323 100644 --- a/python/python/tests/test_materialized_views.py +++ b/python/python/tests/test_materialized_views.py @@ -97,24 +97,6 @@ def test_remote_list_uses_namespace_route(): assert requests == ["/v1/namespace/$/materialized_view/list"] -def test_remote_create_async_returns_server_job(): - with mock_remote_materialized_view_create() as (host, requests): - db = lancedb.connect( - "db://dev", - api_key="fake", - host_override=host, - client_config={"retry_config": {"retries": 0}}, - ) - job = db.create_materialized_view_async("adults", "people", where="age >= 18") - assert job.id == "mv-create-123" - assert requests == [ - ( - "/v1/materialized_view/adults/create", - {"query": 'SELECT * FROM "people" WHERE age >= 18', "with_no_data": False}, - ) - ] - - def test_remote_drop_async_returns_server_job(): with mock_remote_materialized_view_create() as (host, requests): db = lancedb.connect( @@ -221,29 +203,29 @@ def test_definition_round_trips(tmp_path): ) -def test_incremental_refresh_after_append(tmp_path): +def test_full_refresh_after_append(tmp_path): db = make_db(tmp_path) view = db.create_materialized_view("copy", "people", with_no_data=True) view.refresh() db.open_table("people").add([{"name": "alan", "age": 41}]) result = view.refresh() - assert result.mode == "incremental" - assert result.rows_written == 1 + assert result.mode == "rebuild" + assert result.rows_written == 4 assert view.table.count_rows() == 4 - assert view.refresh().mode == "no_op" + assert view.refresh().mode == "rebuild" -def test_incremental_refresh_after_update(tmp_path): +def test_full_refresh_after_update(tmp_path): db = make_db(tmp_path) view = db.create_materialized_view("copy", "people", with_no_data=True) view.refresh() db.open_table("people").update(where="name = 'kid'", values={"age": 8}) result = view.refresh() - assert result.mode == "incremental" - assert result.rows_written == 1 + assert result.mode == "rebuild" + assert result.rows_written == 3 rows = view.table.search().to_list() assert sorted(row["age"] for row in rows) == [8, 36, 85] @@ -331,8 +313,8 @@ async def test_async_create_and_refresh_jobs(tmp_path): @pytest.mark.asyncio -async def test_async_incremental(tmp_path): - db = await lancedb.connect_async(tmp_path, storage_options=STABLE_ROW_IDS) +async def test_async_refresh_rebuilds(tmp_path): + db = await lancedb.connect_async(tmp_path) await db.create_table("people", [{"name": "ada", "age": 36}]) view = await db.create_materialized_view("copy", "people", with_no_data=True) await view.refresh() @@ -340,15 +322,15 @@ async def test_async_incremental(tmp_path): table = await db.open_table("people") await table.add([{"name": "alan", "age": 41}]) result = await view.refresh() - assert result.mode == "incremental" - assert result.rows_written == 1 + assert result.mode == "rebuild" + assert result.rows_written == 2 -def test_source_requires_stable_row_ids(tmp_path): +def test_source_does_not_require_stable_row_ids(tmp_path): db = lancedb.connect(tmp_path) db.create_table("plain", [{"x": 1}]) - with pytest.raises(Exception, match="stable row ids"): - db.create_materialized_view("v", "plain") + view = db.create_materialized_view("v", "plain") + assert view.table.count_rows() == 1 def test_bare_select_names_are_quoted(tmp_path): @@ -373,7 +355,7 @@ def test_scalar_select_is_one_column(tmp_path): view = db.create_materialized_view("just_name", "people", select="name") view.refresh() rows = view.table.search().to_list() - assert set(rows[0]) - {"__source_row_id"} == {"name"} + assert set(rows[0]) == {"name"} assert sorted(row["name"] for row in rows) == ["ada", "grace", "kid"] @@ -384,7 +366,7 @@ async def test_async_scalar_select_is_one_column(tmp_path): view = await db.create_materialized_view("just_name", "people", select="name") await view.refresh() rows = await view.table.query().to_list() - assert set(rows[0]) - {"__source_row_id"} == {"name"} + assert set(rows[0]) == {"name"} def test_limit_above_i64_max_is_refused(tmp_path): @@ -520,166 +502,10 @@ def test_stored_queries_and_legacy_layouts_are_read(): "SELECT * FROM people" ) - for fmt, function in [(3, "vector_duplicate_pairs"), (4, "vector_dedup")]: - native = f"SELECT * FROM {function}('images', 3, 'phash', 4)" - assert read({"format": fmt, "query": native}).query == native - # A newer writer's layout is reported, never guessed at. for newer in ( - {"format": 5, "query": query}, + {"format": 3, "query": query}, {"kind": "select_v3", "source_table": "people"}, ): with pytest.raises(NotImplementedError, match="cannot refresh"): read(newer) - - -def indexed_dedup_source(db, name="images"): - import pyarrow as pa - from lancedb.index import IvfFlat - - vectors = pa.FixedSizeListArray.from_arrays( - pa.array( - [v for i in range(256) for v in (float(i if i < 3 else i * 10), 0.0)], - type=pa.float32(), - ), - 2, - ) - table = db.create_table(name, pa.table({"id": range(256), "vector": vectors})) - table.create_index("vector", config=IvfFlat(num_partitions=1)) - return table - - -@pytest.mark.parametrize("stable", [False, True]) -def test_vector_dedup_source_captures_snapshot_and_preserves_source(tmp_path, stable): - db = lancedb.connect( - tmp_path, - storage_options={"new_table_enable_stable_row_ids": str(stable).lower()}, - ) - source = indexed_dedup_source(db, "images.with.dot") - version = source.version - expression = lancedb.vector_dedup( - source.name, column="vector", distance_threshold=1 - ) - view = db.create_materialized_view("clean", expression) - assert "vector_dedup(" in view.definition.query - assert f", {version}, 'vector', 1.0)" in view.definition.query - assert view.table.count_rows() == 255 - assert [r["id"] for r in view.table.search().where("id < 3").to_list()] == [0, 2] - assert source.version == version - assert source.count_rows() == 256 - - source.delete("id = 0") - view.refresh_async().wait() - assert view.table.search().where("id = 0").to_list() == [ - {"id": 0, "vector": [0.0, 0.0]} - ] - assert expression.dataset_version is None # reusable immutable declaration - - -def test_vector_dedup_create_job_and_explicit_snapshot(tmp_path): - db = lancedb.connect(tmp_path) - source = indexed_dedup_source(db) - version = source.version - source.delete("id = 0") - job = db.create_materialized_view_async( - "clean", - lancedb.vector_dedup( - "images", column="vector", distance_threshold=1, dataset_version=version - ), - ) - assert job.wait() is None - view = db.open_materialized_view("clean") - assert view.table.count_rows() == 255 - assert len(view.table.search().where("id = 0").to_list()) == 1 - - -@pytest.mark.asyncio -async def test_async_vector_dedup_declaration_and_creation(tmp_path): - sync_db = lancedb.connect(tmp_path) - source = indexed_dedup_source(sync_db) - db = await lancedb.connect_async(tmp_path) - expression = lancedb.vector_dedup("images", column="vector", distance_threshold=1) - view = await db.create_materialized_view("clean", expression, with_no_data=True) - assert await view.table.count_rows() == 0 - # The snapshot is captured at declaration even if refresh comes later. - source.delete("id = 0") - job = await view.refresh_async() - await job.wait() - assert await view.table.count_rows() == 255 - another = await db.create_materialized_view_async( - "later", expression, with_no_data=True - ) - await another.wait() - later = await db.open_materialized_view("later") - assert (await later.definition()).query != (await view.definition()).query - assert await later.table.count_rows() == 0 - - -@pytest.mark.parametrize( - "options", [{"select": ["id"]}, {"select": []}, {"where": "id > 0"}, {"limit": 1}] -) -def test_vector_dedup_rejects_extra_clauses_before_opening_source(tmp_path, options): - db = lancedb.connect(tmp_path) - expression = lancedb.vector_dedup("missing", column="vector", distance_threshold=1) - with pytest.raises(ValueError, match="cannot be combined"): - db.create_materialized_view("bad", expression, **options) - assert db.list_tables().tables == [] - - -@pytest.mark.parametrize("version", [0, -1, True, 1.5, "2", 2**64]) -def test_vector_dedup_rejects_invalid_snapshot(version): - with pytest.raises(ValueError, match="dataset_version"): - lancedb.vector_dedup( - "images", column="vector", distance_threshold=1, dataset_version=version - ) - - -@pytest.mark.parametrize( - "threshold", [float("nan"), float("inf"), -float("inf"), 1e100, 10**1000, True, "4"] -) -def test_vector_dedup_rejects_invalid_threshold(threshold): - with pytest.raises((ValueError, TypeError), match="distance_threshold"): - lancedb.vector_dedup("images", column="vector", distance_threshold=threshold) - - -def test_vector_dedup_descriptor_is_frozen(): - from dataclasses import FrozenInstanceError - - expression = lancedb.vector_dedup("images", column="vector", distance_threshold=1) - with pytest.raises(FrozenInstanceError): - expression.column = "other" - - -@pytest.mark.parametrize("with_no_data", [False, True]) -def test_remote_vector_dedup_uses_mv_endpoint_without_sql_client(with_no_data): - with mock_remote_materialized_view_create() as (host, requests): - db = lancedb.connect( - "db://dev", - api_key="fake", - host_override=host, - sql_host_override="grpc://127.0.0.1:1", - client_config={"retry_config": {"retries": 0}}, - ) - job = db.create_materialized_view_async( - "clean", - lancedb.vector_dedup( - "images.with'dot", - column="vector'field", - distance_threshold=4, - dataset_version=7, - ), - with_no_data=with_no_data, - ) - assert job.id == "mv-create-123" - assert requests == [ - ( - "/v1/materialized_view/clean/create", - { - "query": ( - "SELECT * FROM vector_dedup('`images.with''dot`', " - "7, 'vector''field', 4.0)" - ), - "with_no_data": with_no_data, - }, - ) - ] diff --git a/python/src/connection.rs b/python/src/connection.rs index 744ab34b3..737ef05e2 100644 --- a/python/src/connection.rs +++ b/python/src/connection.rs @@ -407,8 +407,7 @@ impl Connection { }) } - #[allow(clippy::too_many_arguments)] - #[pyo3(signature = (name, source, projections=None, filter=None, limit=None, with_no_data=false, *, vector_source_json=None))] + #[pyo3(signature = (name, source, projections=None, filter=None, limit=None, with_no_data=false))] pub fn create_materialized_view( self_: PyRef<'_, Self>, name: String, @@ -417,17 +416,10 @@ impl Connection { filter: Option, limit: Option, with_no_data: bool, - vector_source_json: Option, ) -> PyResult> { let inner = self_.get_inner()?.clone(); future_into_py(self_.py(), async move { let mut builder = inner.create_materialized_view(name, source); - if let Some(source) = vector_source_json { - builder = builder.vector_source( - serde_json::from_str(&source) - .map_err(|e| PyValueError::new_err(e.to_string()))?, - ); - } if let Some(projections) = projections { builder = builder.select(projections); } @@ -443,8 +435,7 @@ impl Connection { }) } - #[allow(clippy::too_many_arguments)] - #[pyo3(signature = (name, source, projections=None, filter=None, limit=None, with_no_data=false, *, vector_source_json=None))] + #[pyo3(signature = (name, source, projections=None, filter=None, limit=None, with_no_data=false))] pub fn create_materialized_view_async( self_: PyRef<'_, Self>, name: String, @@ -453,17 +444,10 @@ impl Connection { filter: Option, limit: Option, with_no_data: bool, - vector_source_json: Option, ) -> PyResult> { let inner = self_.get_inner()?.clone(); future_into_py(self_.py(), async move { let mut builder = inner.create_materialized_view(name, source); - if let Some(source) = vector_source_json { - builder = builder.vector_source( - serde_json::from_str(&source) - .map_err(|e| PyValueError::new_err(e.to_string()))?, - ); - } if let Some(projections) = projections { builder = builder.select(projections); } diff --git a/python/src/table.rs b/python/src/table.rs index d7519bdab..16f62bf8d 100644 --- a/python/src/table.rs +++ b/python/src/table.rs @@ -592,8 +592,6 @@ impl From for RefreshMaterializedViewRes fn from(result: lancedb::RefreshMaterializedViewResult) -> Self { let mode = match result.mode { lancedb::RefreshMode::Rebuild => "rebuild", - lancedb::RefreshMode::Incremental => "incremental", - lancedb::RefreshMode::NoOp => "no_op", }; Self { mode: mode.to_string(), @@ -1817,10 +1815,9 @@ impl Table { }) } - #[pyo3(signature = (full=false, source_version=None))] + #[pyo3(signature = (source_version=None))] pub fn refresh_materialized_view( self_: PyRef<'_, Self>, - full: bool, source_version: Option, ) -> PyResult> { let inner = self_.inner_ref()?.clone(); @@ -1828,7 +1825,7 @@ impl Table { let view = lancedb::MaterializedView::from_table(inner) .await .infer_error()?; - let mut builder = view.refresh().full(full); + let mut builder = view.refresh(); if let Some(version) = source_version { builder = builder.source_version(version); } @@ -1837,10 +1834,9 @@ impl Table { }) } - #[pyo3(signature = (full=false, source_version=None))] + #[pyo3(signature = (source_version=None))] pub fn refresh_materialized_view_async( self_: PyRef<'_, Self>, - full: bool, source_version: Option, ) -> PyResult> { let inner = self_.inner_ref()?.clone(); @@ -1848,7 +1844,7 @@ impl Table { let view = lancedb::MaterializedView::from_table(inner) .await .infer_error()?; - let mut builder = view.refresh().full(full); + let mut builder = view.refresh(); if let Some(version) = source_version { builder = builder.source_version(version); } @@ -1863,11 +1859,9 @@ impl Table { let view = lancedb::MaterializedView::from_table(inner) .await .infer_error()?; - view.definition().to_json().map_err(|err| { - PyRuntimeError::new_err(format!( - "failed to serialize materialized-view definition: {err}" - )) - }) + Ok(lancedb::materialized_view::definition_metadata_from_sql( + view.definition_sql(), + )) }) } diff --git a/rust/lancedb/src/job.rs b/rust/lancedb/src/job.rs index 54b46fc11..711a73033 100644 --- a/rust/lancedb/src/job.rs +++ b/rust/lancedb/src/job.rs @@ -3,6 +3,8 @@ //! Handles to operations a server may run asynchronously. +use std::future::Future; +use std::pin::Pin; use std::sync::{Arc, RwLock, RwLockReadGuard, RwLockWriteGuard}; use arrow_array::RecordBatch; @@ -250,6 +252,18 @@ where pub(crate) fn spawned(task: JoinHandle>) -> Self { Self::new_typed(Box::new(SpawnedJob::new(task))) } + + pub(crate) fn spawned_with_cancellation(task: JoinHandle>, cancel: F) -> Self + where + F: Fn() -> Fut + Send + Sync + 'static, + Fut: Future> + Send + 'static, + { + let cancellation: Cancellation = Arc::new(move || Box::pin(cancel())); + Self::new_typed(Box::new(SpawnedJob::new_with_cancellation( + task, + cancellation, + ))) + } } impl Job @@ -501,10 +515,28 @@ impl Outcome { struct SpawnedJob { outcome: watch::Receiver>, abort: AbortHandle, + cancellation: Option, } +type CancellationFuture = Pin> + Send>>; +type Cancellation = Arc CancellationFuture + Send + Sync>; + impl SpawnedJob { fn new(task: JoinHandle>) -> Self + where + T: Serialize + Send + 'static, + { + Self::new_inner(task, None) + } + + fn new_with_cancellation(task: JoinHandle>, cancellation: Cancellation) -> Self + where + T: Serialize + Send + 'static, + { + Self::new_inner(task, Some(cancellation)) + } + + fn new_inner(task: JoinHandle>, cancellation: Option) -> Self where T: Serialize + Send + 'static, { @@ -526,7 +558,11 @@ impl SpawnedJob { }; let _ = tx.send(Some(outcome)); }); - Self { outcome, abort } + Self { + outcome, + abort, + cancellation, + } } } @@ -556,6 +592,19 @@ impl JobHandle for SpawnedJob { } async fn cancel(&self) -> Result<()> { + if let Some(cancellation) = &self.cancellation { + let mut outcome = self.outcome.clone(); + tokio::select! { + biased; + settled = outcome.wait_for(Option::is_some) => { + settled.map_err(|_| Error::Runtime { + message: "job outcome was dropped before cancellation completed".to_string(), + })?; + return Ok(()); + } + result = cancellation() => result?, + } + } self.abort.abort(); Ok(()) } diff --git a/rust/lancedb/src/materialized_view.rs b/rust/lancedb/src/materialized_view.rs index 7dec300a2..70b39506b 100644 --- a/rust/lancedb/src/materialized_view.rs +++ b/rust/lancedb/src/materialized_view.rs @@ -9,96 +9,20 @@ //! query this version cannot maintain reads back as unrefreshable, not as a //! plain table. Queries, indexes and search work on the view unchanged. -mod duplicate_pairs; mod grouped; -mod grouped_units; -mod partitioned; -pub(crate) mod vector_dedup; -pub use duplicate_pairs::{VectorSource, VectorSourceKind}; pub use grouped::IVF_PARTITION; -/// Refreshing a view grouped by [`IVF_PARTITION`] in units, one per index -/// partition, so the work can be spread over several processes. The caller -/// plans once, computes every unit of that plan wherever it likes, and -/// commits the whole set; a unit is bound to the view and plan it was -/// computed for, and the commit publishes all of them or none. -/// -/// ```no_run -/// # #![recursion_limit = "256"] -/// # use lancedb::materialized_view::{ -/// # commit_grouped_refresh, plan_grouped_refresh, write_grouped_unit, WrittenUnit, -/// # }; -/// # use lancedb::materialized_view::MaterializedView; -/// # async fn refresh_in_units(view: &MaterializedView) -> Result<(), Box> { -/// // The view this refresh was requested for. Every path below carries it, -/// // including the fallbacks: a view dropped and recreated meanwhile is a -/// // different view, and refreshing it in place of this one is the identity -/// // crossing the units path refuses. -/// let incarnation = view.incarnation().map(str::to_string); -/// -/// async fn in_one_pass(view: &MaterializedView, incarnation: Option<&str>) -> lancedb::Result<()> { -/// let mut refresh = view.refresh(); -/// if let Some(token) = incarnation { -/// refresh = refresh.expect_incarnation(token); -/// } -/// refresh.execute().await?; -/// Ok(()) -/// } -/// -/// // No plan means this view cannot be refreshed in units: it is not -/// // grouped by the partition of an indexed column, its index no longer -/// // says which fragments it covers, or it carries no incarnation to bind -/// // the units to. -/// let Some(plan) = plan_grouped_refresh(view.table(), None).await? else { -/// in_one_pass(view, incarnation.as_deref()).await?; -/// return Ok(()); -/// }; -/// -/// // Each unit is independent; this loop stands in for dispatching them. -/// // A unit whose view was dropped and recreated, or whose plan is stale, -/// // fails here rather than producing rows for the wrong view. -/// let mut units: Vec = Vec::new(); -/// for unit in 0..plan.units { -/// units.push(write_grouped_unit(view.table(), unit, &plan).await?); -/// } -/// -/// match commit_grouped_refresh(view.table(), &plan, units, incarnation.as_deref()).await { -/// Ok(result) => println!("{} rows at version {}", result.rows_written, result.version), -/// Err(err) => { -/// // The refresh is unrecorded, but it is not necessarily inert: a -/// // commit that raced a concurrent write can have landed without a -/// // watermark. Refresh from scratch rather than assuming either. -/// eprintln!("refresh in units unrecorded ({err}); refreshing in one pass"); -/// in_one_pass(view, incarnation.as_deref()).await?; -/// } -/// } -/// # Ok(()) -/// # } -/// ``` -pub use grouped_units::{ - GroupedRefreshPlan, WrittenUnit, commit_grouped_refresh, plan_grouped_refresh, - write_grouped_unit, -}; -pub use partitioned::{ - PartitionedRefreshPlan, WrittenPartition, commit_partitioned_refresh, plan_partitioned_refresh, - write_refresh_partition, write_refresh_partition_with_inputs, -}; mod query; pub mod refresh; -#[cfg(test)] -mod differential; - use std::collections::HashMap; use std::sync::Arc; use arrow_schema::{DataType, Field as ArrowField, FieldRef, Schema as ArrowSchema, SchemaRef}; use datafusion_common::ScalarValue; -use lance_core::ROW_ID; use lance_datafusion::planner::Planner; use serde::{Deserialize, Serialize}; use crate::connection::Connection; -use crate::database::listing::OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS; use crate::database::{CreateTableRequest, Database, OpenTableRequest}; use crate::embeddings::EmbeddingDefinition; use crate::function::FunctionBinding; @@ -116,26 +40,6 @@ pub use refresh::{RefreshMaterializedViewResult, RefreshMode}; /// Schema metadata key holding the view definition; see [`DEFINITION_FORMAT`]. pub const DEFINITION_META_KEY: &str = "mv.definition"; -/// Schema metadata key holding the view's incarnation: a token minted at each -/// physical creation of a view table, so a view dropped and recreated under -/// the same name and definition is still told apart from the one a caller -/// captured. A view whose metadata was replaced wholesale, or one declared -/// before tokens existed, carries none until its next refresh mints one. -pub const INCARNATION_META_KEY: &str = "mv.incarnation"; - -/// Schema metadata key holding the source table version the view was last -/// refreshed to. Absent until the first refresh. -pub const SOURCE_VERSION_META_KEY: &str = "mv.source_version"; - -/// Schema metadata key holding the wall-clock time of the last refresh, -/// in milliseconds since the epoch. -pub const REFRESHED_AT_MS_META_KEY: &str = "mv.refreshed_at_ms"; - -/// Column recording which source row produced each view row: the source's -/// stable `_rowid` at refresh time, which is why sources must keep stable -/// row ids. -pub const SOURCE_ROW_ID_COLUMN: &str = "__source_row_id"; - /// Field metadata namespace for declarations about schema structure, such as /// an unenforced primary key. const SCHEMA_DECLARATION_META_PREFIX: &str = "lance-schema:"; @@ -154,26 +58,16 @@ const COLUMN_DEFINITIONS_META_KEY: &str = "lancedb::column_definitions"; /// The newest layout this version reads under [`DEFINITION_META_KEY`]: /// `{"format": N, "query": ""}`, the query as -/// [`MaterializedViewDefinition::to_sql`] renders it. Format 3 identifies a -/// native duplicate-pair source, format 4 a dedup result source, format 2 a query with `GROUP BY`, and -/// format 1 an ordinary query. A reader refuses a newer format rather than +/// [`MaterializedViewDefinition::to_sql`] renders it. Format 2 identifies a +/// query with `GROUP BY`, and format 1 an ordinary query. A reader refuses a newer format rather than /// guess at it. The layout also carries `"kind": "query"`, which readers /// older than the format number report as an unrefreshable view instead of /// failing to read the metadata. -pub const DEFINITION_FORMAT: u64 = 4; +pub const DEFINITION_FORMAT: u64 = 2; /// The format `definition` is written in; see [`DEFINITION_FORMAT`]. fn format_of(definition: &MaterializedViewDefinition) -> u64 { - if let Some(source) = &definition.vector_source { - match source.kind { - VectorSourceKind::Pairs => 3, - VectorSourceKind::Dedup => 4, - } - } else if definition.is_grouped() { - 2 - } else { - 1 - } + if definition.is_grouped() { 2 } else { 1 } } /// Legacy `kind` tag of the structured layout written before @@ -236,9 +130,8 @@ pub enum LateralSource { /// The list column. column: String, }, - /// `name(args)`: a Function in `FROM` position, returning rows. The - /// server stages its output in a hidden table, recorded under - /// [`STAGING_META_KEY`]; a local database cannot refresh this form. + /// `name(args)`: a Function in `FROM` position, returning rows. Local + /// databases do not execute table functions during refresh. Function { /// The Function's name. name: String, @@ -254,37 +147,17 @@ pub(crate) struct ViewUnnest { pub alias: String, } -/// Schema metadata key holding a [`StagingBinding`], present only on a view -/// whose query calls a Function in `FROM` position. -pub const STAGING_META_KEY: &str = "mv.staging"; - -/// Where a Function in `FROM` position has its output staged: a hidden -/// table carrying every source column plus `column`, the Function's list -/// output. Refresh scans this table in place of the query's source. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] -pub struct StagingBinding { - /// The staging table's name. - pub table: String, - /// Its namespace path; empty is the root namespace. - #[serde(default, skip_serializing_if = "Vec::is_empty")] - pub namespace: Vec, - /// The list column holding the Function's output. - pub column: String, -} - -/// The list column refresh unnests for `definition`, given the staging its -/// Function output lives in. `None` when the query has no lateral item. +/// The list column refresh unnests for `definition`. `None` when the query +/// has no lateral item. pub(crate) fn physical_unnest( definition: &MaterializedViewDefinition, - staging: Option<&StagingBinding>, ) -> Result> { let Some(lateral) = &definition.lateral else { return Ok(None); }; - let column = match (&lateral.source, staging) { - (LateralSource::Unnest { column }, _) => column.clone(), - (LateralSource::Function { .. }, Some(staging)) => staging.column.clone(), - (LateralSource::Function { name, .. }, None) => { + let column = match &lateral.source { + LateralSource::Unnest { column } => column.clone(), + LateralSource::Function { name, .. } => { return Err(Error::NotSupported { message: format!( "'{name}' in FROM position is a Function; views over Function rows are \ @@ -299,25 +172,11 @@ pub(crate) fn physical_unnest( })) } -/// Read the staging binding off a view's schema metadata, if it has one. -pub fn read_staging(metadata: &HashMap) -> Result> { - metadata - .get(STAGING_META_KEY) - .map(|raw| { - serde_json::from_str(raw).map_err(|e| Error::Runtime { - message: format!("unreadable materialized view staging binding: {e}"), - }) - }) - .transpose() -} - /// The query that defines a materialized view, in the relational shape /// refresh maintains. Stored as SQL; see [`MaterializedViewDefinition::from_sql`] /// for the shape. #[derive(Debug, Clone, PartialEq, Eq)] pub struct MaterializedViewDefinition { - /// A table-bound native vector source. It is never evaluated per source row. - pub vector_source: Option>, /// Name of the source table, in the same database as the view. pub source_table: String, /// Namespace path holding the source table; empty is the root namespace. @@ -408,10 +267,10 @@ pub enum StoredDefinition { #[doc(hidden)] #[derive(Debug, Clone, PartialEq, Eq)] pub struct MaterializedViewInfo { - /// The parsed view definition. - pub definition: MaterializedViewDefinition, - /// The current physical incarnation, when one has been minted. - pub incarnation: Option, + /// The defining SQL as stored. + pub definition_sql: String, + /// The definition parsed into the local refresh grammar, when supported. + pub parsed_definition: Option, } /// The backend-independent request used to create a remote materialized view. @@ -456,12 +315,78 @@ struct LegacyDefinition { /// Serialize `definition` into the layout stored under /// [`DEFINITION_META_KEY`]. pub(crate) fn definition_to_metadata(definition: &MaterializedViewDefinition) -> Result { - Ok(serde_json::json!({ + Ok(definition_metadata_from_sql_with_format( + &definition.to_sql(), + format_of(definition), + )) +} + +/// Serialize an arbitrary SQL definition into the materialized-view metadata +/// envelope. Sophon uses this for SQL queries that are broader than the local +/// refresh engine's supported shape. +pub fn definition_metadata_from_sql(sql: &str) -> String { + definition_metadata_from_sql_with_format(sql, 1) +} + +/// Serialize an arbitrary SQL definition together with the resolution +/// defaults needed to plan unqualified identifiers on a later refresh. +pub fn definition_metadata_from_sql_with_defaults( + sql: &str, + default_database: &str, + default_namespace_path: &[String], +) -> String { + serde_json::json!({ "kind": "query", - "format": format_of(definition), - "query": definition.to_sql(), + "format": 1, + "query": sql, + "default_database": default_database, + "default_namespace_path": default_namespace_path, }) - .to_string()) + .to_string() +} + +fn definition_metadata_from_sql_with_format(sql: &str, format: u64) -> String { + serde_json::json!({ + "kind": "query", + "format": format, + "query": sql, + }) + .to_string() +} + +/// Return the defining SQL stored in [`DEFINITION_META_KEY`], without +/// requiring the local refresh parser to understand it. +pub fn read_definition_sql(metadata: &HashMap) -> Result> { + Ok(read_definition_sql_with_defaults(metadata)?.map(|definition| definition.query)) +} + +/// A stored SQL definition and the optional name-resolution defaults recorded +/// by a remote SQL engine. +#[derive(Debug, Clone, PartialEq, Eq, Deserialize)] +pub struct MaterializedViewSqlDefinition { + /// The SQL query that defines the materialized view. + pub query: String, + /// The database used to resolve unqualified references when the view was created. + #[serde(default)] + pub default_database: Option, + /// The namespace used to resolve unqualified references when the view was created. + #[serde(default)] + pub default_namespace_path: Option>, +} + +/// Read the SQL definition and its optional resolution defaults from +/// [`DEFINITION_META_KEY`]. +pub fn read_definition_sql_with_defaults( + metadata: &HashMap, +) -> Result> { + let Some(raw) = metadata.get(DEFINITION_META_KEY) else { + return Ok(None); + }; + serde_json::from_str(raw) + .map(Some) + .map_err(|e| Error::Runtime { + message: format!("unreadable materialized view definition: {e}"), + }) } /// Read a view definition off a schema metadata map, if it carries one. @@ -516,7 +441,6 @@ pub fn read_definition(metadata: &HashMap) -> Result, ) -> Result { - let incarnation = metadata.get(INCARNATION_META_KEY).cloned(); match read_definition(metadata)? { Some(StoredDefinition::Query(definition)) => Ok(MaterializedViewInfo { - definition, - incarnation, + definition_sql: definition.to_sql(), + parsed_definition: Some(definition), }), Some(StoredDefinition::Newer { format }) => Err(Error::NotSupported { message: format!( @@ -563,19 +486,14 @@ pub(crate) struct Planned { pub fields: Vec, pub lineage: Lineage, /// Source columns the query reads; a read through the unnest alias is - /// recorded as the list column, which is what the source has and what - /// incremental refresh watches. + /// recorded as the list column present in the source schema. pub inputs: Vec, } pub(crate) fn plan( source_schema: SchemaRef, definition: &MaterializedViewDefinition, - staging: Option<&StagingBinding>, ) -> Result { - if definition.vector_source.is_some() { - return duplicate_pairs::plan(source_schema, definition); - } let filter = definition .filter .as_deref() @@ -593,7 +511,7 @@ pub(crate) fn plan( // Projections are typed against the source, or for an unnested view // against the source with the list column replaced by its element // under the alias, where `c.chunk` is an ordinary nested path. - let unnest = physical_unnest(definition, staging)?; + let unnest = physical_unnest(definition)?; let source_schema = match &unnest { None => source_schema, Some(unnest) => { @@ -607,12 +525,9 @@ pub(crate) fn plan( } }; let projections: Vec<(String, String)> = if definition.selects_star() { - // `SELECT *`. A source that is itself a view carries its own - // provenance column; the new view records its own, not a copy. source_schema .fields() .iter() - .filter(|f| f.name() != SOURCE_ROW_ID_COLUMN) .map(|f| (f.name().clone(), query::ident_sql(f.name()))) .collect() } else { @@ -653,25 +568,12 @@ pub(crate) fn plan( name: output.clone(), }); } - if output == SOURCE_ROW_ID_COLUMN || output == ROW_ID { - return Err(Error::InvalidInput { - message: format!("view column name '{output}' is reserved"), - }); - } - let parsed = planner .parse_expr(expression) .map_err(|e| Error::InvalidExpression { column: output.clone(), message: e.to_string(), })?; - // Before optimization: the simplifier folds a stable-but-not-immutable - // call like now() into a literal, hiding it from the check while the - // stored definition keeps the call. - ensure_immutable(&parsed, |message| Error::InvalidExpression { - column: output.clone(), - message, - })?; let expr = planner .optimize_expr(parsed) .map_err(|e| Error::InvalidExpression { @@ -734,7 +636,6 @@ pub(crate) fn plan( } let definition = MaterializedViewDefinition { - vector_source: None, source_table: definition.source_table.clone(), source_namespace: definition.source_namespace.clone(), lateral: definition.lateral.clone(), @@ -760,17 +661,14 @@ pub(crate) fn plan( }) } -/// Check that `filter` is an immutable boolean predicate over `source_schema`, -/// returning the columns it reads. +/// Check that `filter` is a boolean predicate over `source_schema`, returning +/// the columns it reads. pub(crate) fn plan_filter(source_schema: &SchemaRef, filter: &str) -> Result> { let expr = Planner::new(source_schema.clone()) .parse_filter(filter) .map_err(|e| Error::InvalidInput { message: format!("invalid view filter: {e}"), })?; - ensure_immutable(&expr, |message| Error::InvalidInput { - message: format!("invalid view filter: {message}"), - })?; let filter_inputs = resolve_inputs(source_schema, &expr, |message| Error::InvalidInput { message: format!("invalid view filter: {message}"), })?; @@ -839,41 +737,6 @@ pub(crate) fn flattened_schema( Ok(Arc::new(ArrowSchema::new(fields))) } -/// Reject any function that is not immutable: a view definition has to -/// evaluate identically across refreshes, or incremental maintenance would -/// mix rows from different evaluations of the same definition. -fn ensure_immutable(expr: &datafusion_expr::Expr, error: impl Fn(String) -> Error) -> Result<()> { - use datafusion_common::tree_node::{TreeNode, TreeNodeRecursion}; - use datafusion_expr::Volatility; - - // Labeled immutable but not determined by row values alone: version() - // depends on the build, the arrow_* introspectors on schema state. - const NOT_VALUE_DETERMINED: &[&str] = - &["version", "arrow_typeof", "arrow_field", "arrow_metadata"]; - - let mut offending: Option = None; - expr.apply(|node| { - if let datafusion_expr::Expr::ScalarFunction(function) = node { - let name = function.func.name(); - if function.func.signature().volatility != Volatility::Immutable - || NOT_VALUE_DETERMINED.contains(&name) - { - offending = Some(name.to_string()); - return Ok(TreeNodeRecursion::Stop); - } - } - Ok(TreeNodeRecursion::Continue) - }) - .map_err(|e| error(e.to_string()))?; - match offending { - Some(name) => Err(error(format!( - "function '{name}' is not immutable and would evaluate differently \ - across refreshes" - ))), - None => Ok(()), - } -} - /// The root of a possibly-dotted column path: `metadata.age` -> `metadata`. fn root(path: &str) -> &str { path.split('.').next().unwrap_or(path) @@ -1125,7 +988,7 @@ fn project_schema(schema: &ArrowSchema, columns: &[String]) -> SchemaRef { } /// A validated view declaration, ready to become a table: the projected -/// fields plus [`SOURCE_ROW_ID_COLUMN`], definition stamped in metadata. +/// fields with the definition stamped in metadata. /// Produced only by [`prepare_declaration`]. #[derive(Clone)] pub struct PreparedDeclaration { @@ -1158,8 +1021,7 @@ impl PreparedDeclaration { } /// The schema the view will have: the declared columns in order, any - /// internal projections added by [`PreparedDeclaration::input_column`], - /// then [`SOURCE_ROW_ID_COLUMN`]. + /// internal projections added by [`PreparedDeclaration::input_column`]. pub fn schema(&self) -> &SchemaRef { &self.schema } @@ -1168,11 +1030,6 @@ impl PreparedDeclaration { /// read: the column the view projects it to, if any, otherwise an /// internal projection added here, named by [`input_column_name`]. pub fn input_column(&mut self, source_column: &str) -> Result { - if self.definition.vector_source.is_some() { - return Err(Error::InvalidInput { - message: "native vector views have no per-source-row inputs".into(), - }); - } // A grouped view's rows are groups; no source row carries a value into one. if self.definition.is_grouped() { return Err(Error::InvalidInput { @@ -1194,14 +1051,13 @@ impl PreparedDeclaration { if self.schema.field_with_name(&name).is_ok() { return Err(Error::ColumnAlreadyExists { name }); } - let row_id = self.row_id_index()?; let mut fields: Vec = self .schema .fields() .iter() .map(|f| f.as_ref().clone()) .collect(); - fields.insert(row_id, without_declarations(&field.with_name(name.clone()))); + fields.push(without_declarations(&field.with_name(name.clone()))); self.definition.projections.push(ViewProjection { output: name.clone(), expression: source_column @@ -1273,11 +1129,6 @@ impl PreparedDeclaration { columns: Vec<(usize, ArrowField)>, bindings: &[FunctionBinding], ) -> Result { - if self.definition.vector_source.is_some() { - return Err(Error::InvalidInput { - message: "computed columns on native vector views are not supported".into(), - }); - } let invalid = |message: String| Error::InvalidInput { message }; if columns.is_empty() { return Err(invalid("at least one computed column is needed".into())); @@ -1303,10 +1154,7 @@ impl PreparedDeclaration { columns.sort_by_key(|(position, _)| *position); for (inserted, (position, field)) in columns.iter().enumerate() { let name = field.name().as_str(); - if name == SOURCE_ROW_ID_COLUMN - || name == ROW_ID - || name.starts_with(INPUT_COLUMN_PREFIX) - { + if name.starts_with(INPUT_COLUMN_PREFIX) { return Err(invalid(format!("view column name '{name}' is reserved"))); } if fields.iter().any(|f| f.name() == name) { @@ -1348,16 +1196,8 @@ impl PreparedDeclaration { Ok(self) } - fn row_id_index(&self) -> Result { - self.schema - .index_of(SOURCE_ROW_ID_COLUMN) - .map_err(|e| Error::Runtime { - message: e.to_string(), - }) - } - /// Columns the declaration lists: everything before the internal - /// projections and the provenance column. + /// projections. fn visible_count(&self) -> usize { self.definition.projections.len() - self.internal_inputs + computed_columns(&self.schema).len() @@ -1366,9 +1206,7 @@ impl PreparedDeclaration { /// Create the view table and verify it, consuming the declaration. /// /// The view goes at the root of the source's own database, where refresh - /// resolves the recorded source coordinate. Stable row ids are requested - /// at both levels and verified rather than trusted; nothing is rolled - /// back on failure. + /// resolves the recorded source coordinate. pub async fn create(self, name: &str) -> Result { self.create_in(&[], name).await } @@ -1382,53 +1220,16 @@ impl PreparedDeclaration { ) -> Result { let empty: Vec> = vec![]; - // Minted here, not at preparation: a declaration can be cloned and - // create more than one physical table, and each needs its own token. - let incarnation = uuid::Uuid::new_v4().to_string(); - let mut metadata = self.schema.metadata().clone(); - metadata.insert(INCARNATION_META_KEY.to_string(), incarnation.clone()); - let schema = Arc::new(ArrowSchema::new_with_metadata( - self.schema.fields().clone(), - metadata, - )); let reader: Box = - Box::new(arrow_array::RecordBatchIterator::new(empty, schema)); + Box::new(arrow_array::RecordBatchIterator::new(empty, self.schema)); let mut request = CreateTableRequest::new(name.to_string(), Box::new(reader)); request.namespace_path = namespace_path.to_vec(); - let write_params = request - .write_options - .lance_write_params - .get_or_insert_with(Default::default); - write_params.enable_stable_row_ids = true; - let store_params = write_params - .store_params - .get_or_insert_with(Default::default); - crate::connection::merge_storage_options( - store_params, - [( - OPT_NEW_TABLE_ENABLE_STABLE_ROW_IDS.to_string(), - "true".to_string(), - )], - ); let table = self.database.clone().create_table(request).await?; let table = Table::new(table, self.database); - let stable = match table.as_native() { - Some(native) => native.dataset.get().await?.manifest.uses_stable_row_ids(), - None => false, - }; - if !stable { - return Err(Error::Runtime { - message: format!( - "view '{name}' was created without stable row ids: the database \ - ignored the creation option; the table remains and is not \ - usable as a materialized view" - ), - }); - } Ok(MaterializedView { table, - definition: self.definition, - incarnation: Some(incarnation), + definition_sql: self.definition.to_sql(), + parsed_definition: Some(self.definition), }) } } @@ -1484,7 +1285,6 @@ pub async fn prepare_declaration( limit: Option, ) -> Result { let definition = MaterializedViewDefinition { - vector_source: None, source_table: source.name().to_string(), source_namespace: source.namespace().to_vec(), lateral: None, @@ -1508,7 +1308,7 @@ pub async fn prepare_declaration( /// Validate `definition` over `source`, the table it names. The declaration /// is planned against the source as refresh will reach it, and the result /// creates the view with [`PreparedDeclaration::create`]. A query calling a -/// Function in `FROM` position needs [`prepare_staged_definition`]. +/// Function in `FROM` position is not supported by local refresh. /// /// ``` /// # #![recursion_limit = "256"] @@ -1546,27 +1346,6 @@ pub async fn prepare_declaration( /// # Ok(()) /// # } /// ``` -/// -/// An indexed, pinned source can materialize retained original rows using the -/// default greedy direct-representative policy. A row is removed only when it -/// directly matches a retained row; an A-B-C chain keeps A and C. The source is -/// unchanged. Hosts distribute this through [`plan_partitioned_refresh`] and -/// [`write_refresh_partition_with_inputs`], with a barrier between selection -/// tasks and source-fragment materialization tasks. -/// -/// ``` -/// # #![recursion_limit = "256"] -/// use lancedb::materialized_view::{MaterializedViewDefinition, prepare_definition}; -/// # async fn dedup(images: &lancedb::Table) -> Result<(), Box> { -/// let version = images.version().await?; -/// let definition = MaterializedViewDefinition::from_sql(&format!( -/// "SELECT * FROM vector_dedup('images', {version}, 'phash', 4)" -/// ))?; -/// let clean = prepare_definition(images, definition).await?.create("images_clean").await?; -/// clean.refresh().execute().await?; -/// # Ok(()) -/// # } -/// ``` pub async fn prepare_definition( source: &Table, definition: MaterializedViewDefinition, @@ -1583,59 +1362,12 @@ pub async fn prepare_definition( ), }); } - prepare_with(source, definition, None).await -} - -/// Validate a `definition` whose query calls a Function in `FROM` position, -/// planned over `staging`: a table carrying every column of the query's -/// source plus `column`, the Function's list output for that row. The view -/// records the query as written and the staging under [`STAGING_META_KEY`]; -/// refresh scans the staging table and unnests `column`. -/// -/// ``` -/// # #![recursion_limit = "256"] -/// use lancedb::materialized_view::{MaterializedViewDefinition, prepare_staged_definition}; -/// -/// // `staging` holds every column of `docs` plus `chunks`, the list -/// // `chunk(body)` returned for each row. -/// # async fn declare(staging: &lancedb::Table) -> Result<(), Box> { -/// let definition = MaterializedViewDefinition::from_sql( -/// "SELECT id, c.text, c.ordinal FROM docs, chunk(body) AS c", -/// )?; -/// let view = prepare_staged_definition(staging, definition, "chunks") -/// .await? -/// .create("chunks") -/// .await?; -/// view.refresh().execute().await?; -/// # Ok(()) -/// # } -/// ``` -pub async fn prepare_staged_definition( - staging: &Table, - definition: MaterializedViewDefinition, - column: impl Into, -) -> Result { - if !matches!( - definition.lateral.as_ref().map(|l| &l.source), - Some(LateralSource::Function { .. }) - ) { - return Err(Error::InvalidInput { - message: "only a query calling a Function in FROM position takes a staging table" - .into(), - }); - } - let binding = StagingBinding { - table: staging.name().to_string(), - namespace: staging.namespace().to_vec(), - column: column.into(), - }; - prepare_with(staging, definition, Some(binding)).await + prepare_with(source, definition).await } async fn prepare_with( source: &Table, definition: MaterializedViewDefinition, - staging: Option, ) -> Result { let Some(caller_native) = source.as_native() else { return Err(Error::NotSupported { @@ -1682,17 +1414,6 @@ async fn prepare_with( ), }); } - if definition.vector_source.is_none() - && !native.dataset.get().await?.manifest.uses_stable_row_ids() - { - return Err(Error::InvalidInput { - message: format!( - "materialized views require stable row ids on the source table; \ - create '{}' with storage option new_table_enable_stable_row_ids=true", - source.name() - ), - }); - } refresh::ensure_no_mem_wal( native.dataset.get().await?.as_ref(), "source table", @@ -1710,45 +1431,23 @@ async fn prepare_with( message: format!("view column name '{}' is reserved", reserved.output), }); } - let source_schema = if let Some(pairs) = &definition.vector_source { - let ds = native - .dataset - .get() - .await? - .checkout_version(pairs.dataset_version) - .await?; - crate::table::datafusion::udtf::duplicate_pairs::plan_duplicate_pairs( - Arc::new(ds.clone()), - &pairs.config()?, - ) - .await?; - Arc::new(ArrowSchema::from(ds.schema())) - } else { - resolved.schema().await? - }; + let source_schema = resolved.schema().await?; let source_metadata = source_schema.metadata().clone(); let Planned { definition, - mut fields, + fields, lineage, .. - } = plan(source_schema.clone(), &definition, staging.as_ref())?; + } = plan(source_schema.clone(), &definition)?; if definition.is_grouped() { grouped::check(native.dataset.get().await?.as_ref(), &definition).await?; } // What later projections (`input_column`) are planned against: for an // unnested view the flattened schema, where the alias is a column. - let planning_schema = match physical_unnest(&definition, staging.as_ref())? { + let planning_schema = match physical_unnest(&definition)? { None => source_schema.clone(), Some(unnest) => flattened_schema(&source_schema, &unnest)?, }; - if definition.vector_source.is_none() { - fields.push(ArrowField::new( - SOURCE_ROW_ID_COLUMN, - DataType::UInt64, - false, - )); - } // Only column-describing metadata comes along: structural declarations // describe how a table is written, and a view is written by refresh alone. let mut metadata: HashMap = HashMap::new(); @@ -1766,14 +1465,6 @@ async fn prepare_with( DEFINITION_META_KEY.to_string(), definition_to_metadata(&definition)?, ); - if let Some(staging) = &staging { - metadata.insert( - STAGING_META_KEY.to_string(), - serde_json::to_string(staging).map_err(|e| Error::Runtime { - message: format!("failed to serialize the staging binding: {e}"), - })?, - ); - } Ok(PreparedDeclaration { schema: Arc::new(ArrowSchema::new_with_metadata(fields, metadata)), definition, @@ -1792,13 +1483,31 @@ pub struct CreateMaterializedViewBuilder { namespace: Vec, source: String, source_namespace: Vec, - vector_source: Option, projections: Vec<(String, String)>, filter: Option, limit: Option, with_no_data: bool, } +fn source_sql_identifier( + namespace_path: &[String], + source: &str, + namespace_in_schema_position: bool, +) -> String { + fn quote(name: &str) -> String { + format!("\"{}\"", name.replace('"', "\"\"")) + } + + let namespace = if namespace_in_schema_position && !namespace_path.is_empty() { + vec![namespace_path.join("$")] + } else { + namespace_path.to_vec() + }; + let mut parts = namespace.iter().map(|part| quote(part)).collect::>(); + parts.push(quote(source)); + parts.join(".") +} + impl CreateMaterializedViewBuilder { pub(crate) fn new(connection: Connection, name: String, source: String) -> Self { Self { @@ -1807,7 +1516,6 @@ impl CreateMaterializedViewBuilder { namespace: Vec::new(), source, source_namespace: Vec::new(), - vector_source: None, projections: Vec::new(), filter: None, limit: None, @@ -1828,38 +1536,6 @@ impl CreateMaterializedViewBuilder { self } - /// Read native pairs or retained original rows from a fixed indexed snapshot. - /// This source selects its full output schema and cannot be combined with - /// projections, filters or limits. Remote creation uses the ordinary MV - /// endpoint and its registry job; it does not execute a SQL query client-side. - pub fn vector_source(mut self, source: VectorSource) -> Self { - self.vector_source = Some(source); - self - } - - fn native_definition(&self) -> Result> { - let Some(source) = &self.vector_source else { - return Ok(None); - }; - source.config()?; - if !self.projections.is_empty() || self.filter.is_some() || self.limit.is_some() { - return Err(Error::InvalidInput { - message: "native vector sources cannot be combined with select, where or limit" - .into(), - }); - } - Ok(Some(MaterializedViewDefinition { - vector_source: Some(Box::new(source.clone())), - source_table: self.source.clone(), - source_namespace: self.source_namespace.clone(), - projections: vec![ViewProjection::star()], - filter: None, - lateral: None, - group_by: Vec::new(), - limit: None, - })) - } - /// The view's columns, as `(name, SQL expression)` pairs. Not calling /// this selects every source column, expanded at creation time. pub fn select( @@ -1893,9 +1569,6 @@ impl CreateMaterializedViewBuilder { } fn query(&self) -> Result { - if let Some(definition) = self.native_definition()? { - return Ok(definition.to_sql()); - } fn quote(name: &str) -> String { format!("\"{}\"", name.replace('"', "\"\"")) } @@ -1909,13 +1582,11 @@ impl CreateMaterializedViewBuilder { .collect::>() .join(", ") }; - let source = self - .source_namespace - .iter() - .chain(std::iter::once(&self.source)) - .map(|part| quote(part)) - .collect::>() - .join("."); + let source = source_sql_identifier( + &self.source_namespace, + &self.source, + self.connection.uri().starts_with("db://"), + ); let mut query = format!("SELECT {projection} FROM {source}"); if let Some(filter) = &self.filter { query.push_str(" WHERE "); @@ -1928,9 +1599,7 @@ impl CreateMaterializedViewBuilder { } /// Submit creation and initial population, returning a [`Job`] that - /// settles when the view is ready. Ordinary sources must keep stable row - /// ids for provenance across compaction. Native vector sources also support - /// physical row IDs because their definitions pin the dataset version. + /// settles when the view is ready. pub async fn execute_async(self) -> Result { if self.connection.uri().starts_with("db://") { return self @@ -1967,24 +1636,19 @@ impl CreateMaterializedViewBuilder { } async fn execute_native(self) -> Result { - let native_definition = self.native_definition()?; let source = self .connection .open_table(&self.source) .namespace(self.source_namespace.clone()) .execute() .await?; - let prepared = if let Some(definition) = native_definition { - prepare_definition(&source, definition).await? - } else { - prepare_declaration( - &source, - (!self.projections.is_empty()).then_some(self.projections.as_slice()), - self.filter.as_deref(), - self.limit, - ) - .await? - }; + let prepared = prepare_declaration( + &source, + (!self.projections.is_empty()).then_some(self.projections.as_slice()), + self.filter.as_deref(), + self.limit, + ) + .await?; let view = prepared.create_in(&self.namespace, &self.name).await?; if !self.with_no_data { view.refresh().execute().await?; @@ -1993,24 +1657,24 @@ impl CreateMaterializedViewBuilder { } } -/// A handle on a materialized view: the view table plus its parsed definition. +/// A handle on a materialized view: the view table plus its defining SQL. #[derive(Debug, Clone)] pub struct MaterializedView { table: Table, - definition: MaterializedViewDefinition, - incarnation: Option, + definition_sql: String, + parsed_definition: Option, } impl MaterializedView { /// Interpret `table` as a materialized view: [`Error::NotAMaterializedView`] - /// for a plain table, [`Error::NotSupported`] for a query this version - /// cannot refresh. + /// for a plain table. A remote definition broader than the local refresh + /// grammar remains available through [`Self::definition_sql`]. pub async fn from_table(table: Table) -> Result { let info = table.base_table().materialized_view_info().await?; Ok(Self { table, - definition: info.definition, - incarnation: info.incarnation, + definition_sql: info.definition_sql, + parsed_definition: info.parsed_definition, }) } @@ -2024,23 +1688,28 @@ impl MaterializedView { self.table.name() } - /// The query that defines the view. - pub fn definition(&self) -> &MaterializedViewDefinition { - &self.definition + /// The query parsed into the local refresh grammar. + /// + /// Sophon may store SQL broader than the local grammar; use + /// [`Self::definition_sql`] when the original SQL is sufficient. + pub fn definition(&self) -> Result<&MaterializedViewDefinition> { + self.parsed_definition + .as_ref() + .ok_or_else(|| Error::NotSupported { + message: + "this materialized-view definition is supported only by the remote SQL engine" + .to_string(), + }) } - /// The view's incarnation token as of when this handle was opened; see - /// [`RefreshMaterializedViewBuilder::expect_incarnation`]. `None` for a - /// view that has none yet (see [`INCARNATION_META_KEY`]). - pub fn incarnation(&self) -> Option<&str> { - self.incarnation.as_deref() + /// The complete SQL query that defines the view. + pub fn definition_sql(&self) -> &str { + &self.definition_sql } /// Recompute the view from its source. /// - /// By default the refresh is incremental when the source's changes can be - /// reconciled into the view, and otherwise rebuilds; see - /// [`RefreshMaterializedViewBuilder`]. + /// Every refresh rebuilds the view from the selected source version. /// /// ```no_run /// # #![recursion_limit = "256"] @@ -2054,9 +1723,7 @@ impl MaterializedView { pub fn refresh(&self) -> RefreshMaterializedViewBuilder { RefreshMaterializedViewBuilder { view: self.clone(), - full: false, source_version: None, - expected_incarnation: None, } } } @@ -2064,38 +1731,17 @@ impl MaterializedView { /// Builds a refresh. Created by [`MaterializedView::refresh`]. pub struct RefreshMaterializedViewBuilder { view: MaterializedView, - full: bool, source_version: Option, - expected_incarnation: Option, } impl RefreshMaterializedViewBuilder { - /// Rebuild the view even where an incremental refresh would do. - pub fn full(mut self, full: bool) -> Self { - self.full = full; - self - } - - /// Refresh to this source table version instead of the latest. + /// Refresh a local view to this source table version instead of the latest. + /// Remote SQL refreshes do not support source-version pinning. pub fn source_version(mut self, version: u64) -> Self { self.source_version = Some(version); self } - /// Refresh only if the view is still the incarnation that minted `token` - /// (see [`MaterializedView::incarnation`]): a refresh requested against - /// one declaration must not land in a view dropped and recreated since, - /// even under the same name and definition. - /// - /// Best effort. The token is read from the latest stored manifest before - /// planning and again immediately before every commit, but it is not part - /// of the commit's own condition, so a recreation that lands between that - /// final read and the commit is not caught. - pub fn expect_incarnation(mut self, token: impl Into) -> Self { - self.expected_incarnation = Some(token.into()); - self - } - /// Submit the refresh and return a job that settles with its result. pub async fn execute_async(self) -> Result> { if self.view.table.as_native().is_none() { @@ -2103,34 +1749,18 @@ impl RefreshMaterializedViewBuilder { .view .table .base_table() - .refresh_materialized_view_async( - self.full, - self.source_version, - self.expected_incarnation.as_deref(), - ) + .refresh_materialized_view_async(self.source_version) .await; } Ok(Job::spawned(tokio::spawn(async move { - refresh::execute_refresh( - &self.view.table, - self.full, - self.source_version, - self.expected_incarnation.as_deref(), - ) - .await + refresh::execute_refresh(&self.view.table, self.source_version).await }))) } /// Refresh the view, waiting for the job to finish. pub async fn execute(self) -> Result { if self.view.table.as_native().is_some() { - return refresh::execute_refresh( - &self.view.table, - self.full, - self.source_version, - self.expected_incarnation.as_deref(), - ) - .await; + return refresh::execute_refresh(&self.view.table, self.source_version).await; } self.execute_async().await?.wait().await } @@ -2249,2033 +1879,84 @@ mod tests { use super::*; use crate::connect; - use crate::table::WriteOptions; - async fn people_db() -> Connection { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!( - ("name", Utf8, ["ada", "grace", "alan"]), - ("age", Int32, [36, 85, 41]) - ) - .unwrap(); - conn.create_table("people", batch) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - conn - } - - /// Sources must keep stable row ids; see the create-time gate. - pub(super) fn stable_row_ids() -> WriteOptions { - WriteOptions { - lance_write_params: Some(lance::dataset::WriteParams { - enable_stable_row_ids: true, - ..Default::default() - }), - } - } - - /// The error a doomed declaration against `people` produces. - async fn declare_err( - cfg: impl FnOnce(CreateMaterializedViewBuilder) -> CreateMaterializedViewBuilder, - ) -> Error { - let conn = people_db().await; - cfg(conn.create_materialized_view("bad", "people")) - .execute() - .await - .unwrap_err() - } - - #[tokio::test] - async fn test_create_records_the_definition() { - let conn = people_db().await; - let view = conn - .create_materialized_view("adults", "people") - .select([("name", "name"), ("shout", "upper(name)")]) - .only_if("age >= 18") - .limit(10) - .execute() - .await - .unwrap(); - - assert_eq!(view.name(), "adults"); + #[test] + fn remote_source_namespace_uses_one_sql_schema_position() { + let namespace = vec!["analytics".to_string(), "daily".to_string()]; assert_eq!( - view.definition(), - &MaterializedViewDefinition { - vector_source: None, - source_table: "people".into(), - source_namespace: Vec::new(), - projections: vec![ - ViewProjection { - output: "name".into(), - expression: "name".into() - }, - ViewProjection { - output: "shout".into(), - expression: "upper(name)".into() - }, - ], - filter: Some("age >= 18".into()), - group_by: Vec::new(), - limit: Some(10), - lateral: None, - } - ); - - // The definition round-trips off the stored schema, not the handle. - let reopened = conn.open_materialized_view("adults").await.unwrap(); - assert_eq!(reopened.definition(), view.definition()); - } - - #[tokio::test] - async fn test_view_schema_is_derived_from_the_query() { - let conn = people_db().await; - let view = conn - .create_materialized_view("shapes", "people") - .select([("shout", "upper(name)"), ("next_age", "age + 1")]) - .execute() - .await - .unwrap(); - - let schema = view.table().schema().await.unwrap(); - assert_eq!( - schema.field_with_name("shout").unwrap().data_type(), - &DataType::Utf8 + source_sql_identifier(&namespace, "source", true), + "\"analytics$daily\".\"source\"" ); assert_eq!( - schema.field_with_name("next_age").unwrap().data_type(), - &DataType::Int32 - ); - assert_eq!( - schema - .field_with_name(SOURCE_ROW_ID_COLUMN) - .unwrap() - .data_type(), - &DataType::UInt64 - ); - assert_eq!(view.table().count_rows(None).await.unwrap(), 3); - } - - #[tokio::test] - async fn test_with_no_data_skips_initial_refresh() { - let conn = people_db().await; - let view = conn - .create_materialized_view("empty", "people") - .with_no_data(true) - .execute() - .await - .unwrap(); - assert_eq!(view.table().count_rows(None).await.unwrap(), 0); - } - - #[tokio::test] - async fn test_create_and_refresh_async_jobs() { - let conn = people_db().await; - let create_job = conn - .create_materialized_view("async_view", "people") - .with_no_data(true) - .execute_async() - .await - .unwrap(); - assert!(create_job.id().is_none()); - create_job.wait().await.unwrap(); - - let view = conn.open_materialized_view("async_view").await.unwrap(); - assert_eq!(view.table().count_rows(None).await.unwrap(), 0); - - let refresh_job = view.refresh().execute_async().await.unwrap(); - assert!(refresh_job.id().is_none()); - let result = refresh_job.wait().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(result.rows_written, 3); - assert_eq!(view.table().count_rows(None).await.unwrap(), 3); - - let drop_job = conn - .drop_materialized_view_async("async_view", &[]) - .await - .unwrap(); - assert!(drop_job.id().is_none()); - drop_job.wait().await.unwrap(); - assert!(conn.open_table("async_view").execute().await.is_err()); - } - - #[tokio::test] - async fn test_drop_materialized_view_rejects_plain_tables() { - let conn = people_db().await; - let error = conn - .drop_materialized_view("people", &[]) - .await - .unwrap_err(); - assert!(matches!(error, Error::NotAMaterializedView { .. })); - - conn.create_materialized_view("drop_me", "people") - .with_no_data(true) - .execute() - .await - .unwrap(); - conn.drop_materialized_view("drop_me", &[]).await.unwrap(); - assert!(conn.open_table("drop_me").execute().await.is_err()); - } - - #[tokio::test] - async fn test_remote_query_quotes_resource_identifiers() { - let conn = people_db().await; - let query = conn - .create_materialized_view("unused", "odd\"source") - .source_namespace(vec!["raw data".into()]) - .select([("double\"age", "age * 2")]) - .only_if("age >= 18") - .limit(10) - .query() - .unwrap(); - assert_eq!( - query, - "SELECT age * 2 AS \"double\"\"age\" FROM \"raw data\".\"odd\"\"source\" WHERE age >= 18 LIMIT 10" + source_sql_identifier(&namespace, "source", false), + "\"analytics\".\"daily\".\"source\"" ); } - #[tokio::test] - async fn native_vector_builder_preserves_source_and_rejects_extra_clauses() { - let conn = people_db().await; - let source = VectorSource { - kind: VectorSourceKind::Dedup, - dataset_version: 7, - column: "vector'field".into(), - distance_threshold: "4.0".into(), - }; - let builder = || { - conn.create_materialized_view("clean", "odd.source'name") - .source_namespace(vec!["raw space".into()]) - .vector_source(source.clone()) - }; - let query = builder().query().unwrap(); - let definition = MaterializedViewDefinition::from_sql(&query).unwrap(); - assert_eq!(definition.source_table, "odd.source'name"); - assert_eq!(definition.source_namespace, ["raw space"]); - assert_eq!(definition.vector_source.as_deref(), Some(&source)); - assert!(definition.selects_star()); - assert!(builder().select([("id", "id")]).query().is_err()); - assert!(builder().only_if("true").query().is_err()); - assert!(builder().limit(1).query().is_err()); - let invalid_source = VectorSource { - dataset_version: 0, - ..source - }; - assert!( - conn.create_materialized_view("bad", "people") - .vector_source(invalid_source) - .query() - .is_err() - ); - } - - /// No projection selects every source column, expanded now: the schema - /// captured at creation is the definition. - #[tokio::test] - async fn test_default_projection_captures_the_source_schema() { - let conn = people_db().await; - let view = conn - .create_materialized_view("copy", "people") - .execute() - .await - .unwrap(); - assert_eq!( - view.definition() - .projections - .iter() - .map(|p| p.output.as_str()) - .collect::>(), - vec!["name", "age"] - ); - } - - #[tokio::test] - async fn test_unknown_column_fails_at_create_time() { - let conn = people_db().await; - let err = conn - .create_materialized_view("bad", "people") - .select([("x", "missing + 1")]) - .execute() - .await - .unwrap_err(); - assert!(matches!(err, Error::InvalidExpression { column, .. } if column == "x")); - let names = conn.table_names().execute().await.unwrap(); - assert!(!names.contains(&"bad".to_string())); - } - - #[tokio::test] - async fn test_unknown_filter_column_fails_at_create_time() { - let err = declare_err(|b| b.only_if("missing > 1")).await; - assert!(matches!(err, Error::InvalidInput { message } if message.contains("missing"))); - } - - #[tokio::test] - async fn test_duplicate_output_is_rejected() { - let err = declare_err(|b| b.select([("dup", "age"), ("dup", "age + 1")])).await; - assert!(matches!(err, Error::ColumnAlreadyExists { name } if name == "dup")); - } - - #[tokio::test] - async fn test_reserved_output_name_is_rejected() { - let err = declare_err(|b| b.select([(SOURCE_ROW_ID_COLUMN, "age")])).await; - assert!(matches!(err, Error::InvalidInput { message } if message.contains("reserved"))); - } - - #[tokio::test] - async fn test_missing_source_fails() { - let conn = connect("memory://").execute().await.unwrap(); - let err = conn - .create_materialized_view("v", "nope") - .execute() - .await - .unwrap_err(); - assert!(matches!(err, Error::TableNotFound { .. })); - } - - /// Provenance has to survive source compactions and updates, and stable - /// row ids cannot be enabled after a table exists -- so the requirement - /// is checked at the last moment the caller can still act on it. - #[tokio::test] - async fn test_source_without_stable_row_ids_is_refused() { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!(("x", Int32, [1, 2])).unwrap(); - conn.create_table("plain", batch).execute().await.unwrap(); - - let err = conn - .create_materialized_view("v", "plain") - .execute() - .await - .unwrap_err(); - assert!( - matches!(err, Error::InvalidInput { message } if message.contains("stable row ids")) - ); - assert!( - !conn - .table_names() - .execute() - .await - .unwrap() - .contains(&"v".to_string()) - ); - } - - #[tokio::test] - async fn test_name_collision_fails() { - let conn = people_db().await; - let err = conn - .create_materialized_view("people", "people") - .execute() - .await - .unwrap_err(); - assert!(matches!(err, Error::TableAlreadyExists { .. })); - } - - #[tokio::test] - async fn test_a_plain_table_is_not_a_view() { - let conn = people_db().await; - let table = conn.open_table("people").execute().await.unwrap(); - let err = MaterializedView::from_table(table).await.unwrap_err(); - assert!(matches!(err, Error::NotAMaterializedView { name } if name == "people")); - - let err = conn.open_materialized_view("people").await.unwrap_err(); - assert!(matches!(err, Error::NotAMaterializedView { .. })); - } - - /// The reason the kind is tagged: a definition written by a newer version - /// reads back as a view this one cannot refresh, not as a plain table. - #[tokio::test] - async fn test_unrecognized_kind_is_refused_by_name() { - let conn = people_db().await; - conn.create_materialized_view("v", "people") - .execute() - .await - .unwrap(); - let table = conn.open_table("v").execute().await.unwrap(); - table - .as_native() - .unwrap() - .replace_schema_metadata(HashMap::from([( - DEFINITION_META_KEY.to_string(), - r#"{"kind": "join"}"#.to_string(), - )])) - .await - .unwrap(); - - let err = conn.open_materialized_view("v").await.unwrap_err(); - assert!(matches!(err, Error::NotSupported { message } if message.contains("join"))); - } - - #[tokio::test] - async fn test_list_reports_views_and_only_views() { - let conn = people_db().await; - conn.create_materialized_view("adults", "people") - .only_if("age >= 18") - .execute() - .await - .unwrap(); - - let views = conn.list_materialized_views().await.unwrap(); - assert_eq!(views, vec!["adults"]); - let view = conn.open_materialized_view("adults").await.unwrap(); - assert_eq!(view.definition().filter.as_deref(), Some("age >= 18")); - } - - /// The creation option outranks a connection configured to create - /// unstable tables: the view still gets stable row ids, on the same - /// store (no fork -- the table must be reachable through the - /// connection afterwards). - #[tokio::test] - async fn test_view_is_stable_despite_connection_override() { - let conn = connect("memory://") - .storage_options([("new_table_enable_stable_row_ids", "false")]) - .execute() - .await - .unwrap(); - let batch = record_batch!(("x", Int32, [1])).unwrap(); - conn.create_table("src", batch) - .storage_option("new_table_enable_stable_row_ids", "true") - .execute() - .await - .unwrap(); - - let view = conn - .create_materialized_view("v", "src") - .execute() - .await - .unwrap(); - let stable = view - .table() - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .manifest - .uses_stable_row_ids(); - assert!(stable); - conn.open_materialized_view("v").await.unwrap(); - } - - /// A committed filter has to be usable as a predicate. - #[tokio::test] - async fn test_non_boolean_filter_is_rejected() { - let err = declare_err(|b| b.only_if("age + 1")).await; - assert!(matches!(err, Error::InvalidInput { message } if message.contains("boolean"))); - } - - /// Nested references stay dotted paths; resolution is by root field. - #[tokio::test] - async fn test_struct_columns_can_be_declared() { - use arrow_array::{ArrayRef, Int32Array, StructArray}; - - let conn = connect("memory://").execute().await.unwrap(); - let ages = StructArray::from(vec![( - Arc::new(ArrowField::new("age", DataType::Int32, false)), - Arc::new(Int32Array::from(vec![36, 17])) as ArrayRef, + #[test] + fn sql_definition_defaults_share_one_metadata_value() { + let metadata = HashMap::from([( + DEFINITION_META_KEY.to_string(), + definition_metadata_from_sql_with_defaults( + "SELECT * FROM source", + "db", + &["analytics".to_string()], + ), )]); - let batch = - arrow_array::RecordBatch::try_from_iter(vec![("metadata", Arc::new(ages) as ArrayRef)]) - .unwrap(); - conn.create_table("people", batch) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - let view = conn - .create_materialized_view("ages", "people") - .select([("age", "metadata.age")]) - .only_if("metadata.age >= 18") - .execute() - .await - .unwrap(); - let schema = view.table().schema().await.unwrap(); - assert_eq!( - schema.field_with_name("age").unwrap().data_type(), - &DataType::Int32 - ); - } - - /// A newer-kind view must not disappear from the listing. - #[tokio::test] - async fn test_unrecognized_kind_is_listed_by_name() { - let conn = people_db().await; - conn.create_materialized_view("v", "people") - .execute() - .await - .unwrap(); - let table = conn.open_table("v").execute().await.unwrap(); - table - .as_native() + let definition = read_definition_sql_with_defaults(&metadata) .unwrap() - .replace_schema_metadata(HashMap::from([( - DEFINITION_META_KEY.to_string(), - r#"{"kind": "join"}"#.to_string(), - )])) - .await .unwrap(); - - let views = conn.list_materialized_views().await.unwrap(); - assert_eq!(views, vec!["v"]); - } - - /// A definition must evaluate identically across refreshes; anything - /// less makes incremental maintenance a mix of evaluations. - #[tokio::test] - async fn test_volatile_and_unstable_expressions_are_rejected() { - let conn = people_db().await; - for expression in [ - "random()", - "now()", - "version()", - "arrow_typeof(age)", - "arrow_metadata(age, 'k')", - ] { - let err = conn - .create_materialized_view("bad", "people") - .select([("x", expression)]) - .execute() - .await - .unwrap_err(); - assert!( - matches!(err, Error::InvalidExpression { message, .. } - if message.contains("not immutable")), - "{expression} was not rejected" - ); - } - for filter in ["age > random() * 100", "age >= 0 and now() is not null"] { - let err = conn - .create_materialized_view("bad", "people") - .only_if(filter) - .execute() - .await - .unwrap_err(); - assert!( - matches!(err, Error::InvalidInput { message } if message.contains("not immutable")), - "{filter} was not rejected" - ); - } - } - - /// A column projected as itself stays the column it was: blob discovery - /// and the blob APIs key off field metadata, which a bare rebuild of the - /// field would drop. - #[tokio::test] - async fn test_identity_projection_keeps_field_metadata() { - let conn = connect("memory://").execute().await.unwrap(); - let schema = Arc::new(ArrowSchema::new_with_metadata( - vec![ - ArrowField::new("id", DataType::Int32, true), - crate::blob("payload", true), - ], - HashMap::new(), - )); - conn.create_empty_table("src", schema) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - let view = conn - .create_materialized_view("v", "src") - .execute() - .await - .unwrap(); - let view_schema = view.table().schema().await.unwrap(); - - let payload = view_schema.field_with_name("payload").unwrap(); - assert!( - crate::blob::is_blob(payload), - "default projection dropped the blob marker: {:?}", - payload.metadata() - ); + assert_eq!(definition.query, "SELECT * FROM source"); + assert_eq!(definition.default_database.as_deref(), Some("db")); assert_eq!( - view.table().blob_columns().await.unwrap(), - vec!["payload".to_string()], - "blob discovery no longer finds the projected column" - ); - assert!(view_schema.metadata().contains_key(DEFINITION_META_KEY)); - // Structural declarations describe how a table is written; a view is - // written by refresh, and its fields are always nullable. - assert!(!view_schema.metadata().contains_key("lance:primary_key")); - - // A computed column is a new value and carries no source metadata. - let computed = conn - .create_materialized_view("c", "src") - .select([("payload", "payload"), ("n", "id + 1")]) - .execute() - .await - .unwrap(); - let computed_schema = computed.table().schema().await.unwrap(); - assert!(crate::blob::is_blob( - computed_schema.field_with_name("payload").unwrap() - )); - assert!( - computed_schema - .field_with_name("n") - .unwrap() - .metadata() - .is_empty() + definition.default_namespace_path, + Some(vec!["analytics".to_string()]) ); } - /// A nested column projected straight through is still that column, and a - /// declaration buried in a struct child binds as hard as one on top. #[tokio::test] - async fn test_nested_projection_metadata_and_declarations() { - // The schema below carries the legacy v1 blob marker, which Lance only - // allows writing at file version <= 2.1. - let conn = connect("memory://") - .storage_options([( - crate::database::listing::OPT_NEW_TABLE_STORAGE_VERSION, - "2.1", - )]) - .execute() - .await - .unwrap(); - let payload = crate::blob("payload", true).with_metadata(HashMap::from([ - ("lance-encoding:blob".to_string(), "true".to_string()), - ( - "lance-schema:unenforced-primary-key".to_string(), - "0".to_string(), - ), - ])); - let schema = Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int32, true), - ArrowField::new("meta", DataType::Struct(vec![payload].into()), true), - ])); - conn.create_empty_table("src", schema) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - // A nested path is a direct projection: the leaf's metadata comes with - // it, so the blob stays a blob rather than a plain struct. - let lifted = conn - .create_materialized_view("lifted", "src") - .select([("payload", "meta.payload")]) - .execute() - .await - .unwrap(); - let field = lifted.table().schema().await.unwrap(); - let field = field.field_with_name("payload").unwrap().clone(); - assert_eq!( - field.metadata().get("lance-encoding:blob"), - Some(&"true".to_string()), - "nested projection lost the leaf's metadata" - ); - assert!( - !field - .metadata() - .contains_key("lance-schema:unenforced-primary-key"), - "a structural declaration rode along" - ); - - // Projecting the struct whole must not carry the child's declaration - // out to a view whose fields are nullable. - let whole = conn - .create_materialized_view("whole", "src") - .select([("meta", "meta")]) - .execute() - .await - .unwrap(); - let schema = whole.table().schema().await.unwrap(); - let DataType::Struct(children) = schema.field_with_name("meta").unwrap().data_type() else { - panic!("meta is not a struct"); - }; - let child = children.iter().find(|c| c.name() == "payload").unwrap(); - assert!( - !child - .metadata() - .contains_key("lance-schema:unenforced-primary-key"), - "a nested declaration survived: {:?}", - child.metadata() - ); - assert_eq!( - child.metadata().get("lance-encoding:blob"), - Some(&"true".to_string()) - ); - } - - /// A map's entries are fields like any other, and a declaration on one - /// binds the view's writes just as hard as one on top. - #[tokio::test] - async fn test_map_declarations_are_stripped() { + async fn refresh_always_rebuilds_without_source_row_ids() { let conn = connect("memory://").execute().await.unwrap(); - let value = - ArrowField::new("value", DataType::Utf8, false).with_metadata(HashMap::from([( - "lance-schema:unenforced-clustering-key:position".to_string(), - "1".to_string(), - )])); - let entries = ArrowField::new( - "entries", - DataType::Struct(vec![ArrowField::new("key", DataType::Utf8, false), value].into()), - false, - ); - let schema = Arc::new(ArrowSchema::new(vec![ArrowField::new( - "props", - DataType::Map(Arc::new(entries), false), - true, - )])); - conn.create_empty_table("src", schema) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - let view = conn - .create_materialized_view("view", "src") - .execute() - .await - .unwrap(); - let schema = view.table().schema().await.unwrap(); - let DataType::Map(entries, _) = schema.field_with_name("props").unwrap().data_type() else { - panic!("props is not a map"); - }; - let DataType::Struct(children) = entries.data_type() else { - panic!("map entries are not a struct"); - }; - let value = children.iter().find(|c| c.name() == "value").unwrap(); - assert!( - !value - .metadata() - .contains_key("lance-schema:unenforced-clustering-key:position"), - "a declaration survived inside a map: {:?}", - value.metadata() - ); - } - - /// A computed column is declared by field metadata. Projecting one -- - /// as itself or under an alias -- must carry its description without its - /// declaration, which the target table would reject as foreign. - #[tokio::test] - async fn test_view_over_a_computed_column() { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!(("id", Int32, [1, 2])).unwrap(); let source = conn - .create_table("src", batch) - .write_options(stable_row_ids()) + .create_table("src", record_batch!(("x", Int32, [1, 2])).unwrap()) .execute() .await .unwrap(); - source - .add_columns() - .computed("doubled", "id * 2") - .execute() - .await - .unwrap(); - - // Default projection reaches the computed column too. - let whole = conn - .create_materialized_view("whole", "src") - .execute() - .await - .unwrap(); - let schema = whole.table().schema().await.unwrap(); - let field = schema.field_with_name("doubled").unwrap(); - assert!( - !field - .metadata() - .keys() - .any(|k| k.starts_with("computed_column")), - "a computed-column declaration rode along: {:?}", - field.metadata() - ); - - // And under an alias. - conn.create_materialized_view("aliased", "src") - .select([("twice", "doubled")]) - .execute() - .await - .unwrap(); - } - - /// Embedding configuration names columns. It comes along only for the - /// columns a view actually projects, under the names the view gives them. - #[tokio::test] - async fn test_embedding_config_follows_the_projection() { - let config = r#"[{"name":"f","model":{},"source_column":"text","vector_column":"vec"}]"#; - let conn = connect("memory://").execute().await.unwrap(); - let schema = Arc::new(ArrowSchema::new_with_metadata( - vec![ - ArrowField::new("text", DataType::Utf8, true), - ArrowField::new("vec", DataType::Float32, true), - ], - HashMap::from([("embedding_functions".to_string(), config.to_string())]), - )); - conn.create_empty_table("src", schema) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - let carried = |view: &MaterializedView| { - let view = view.table().clone(); - async move { - view.schema() - .await - .unwrap() - .metadata() - .get("embedding_functions") - .cloned() - } - }; - - // Both columns projected as themselves: kept as it stands. - let whole = conn - .create_materialized_view("whole", "src") - .execute() - .await - .unwrap(); - let kept = carried(&whole).await.expect("config dropped"); - assert!(kept.contains(r#""source_column":"text""#), "{kept}"); - assert!(kept.contains(r#""vector_column":"vec""#), "{kept}"); - - // Only the source column: the configuration names a vector column the - // view does not have, so it describes nothing and goes. - let partial = conn - .create_materialized_view("partial", "src") - .select([("text", "text")]) - .execute() - .await - .unwrap(); - assert_eq!(carried(&partial).await, None); - - // Renamed: the configuration follows the names the view uses. - let renamed = conn - .create_materialized_view("renamed", "src") - .select([("body", "text"), ("embedding", "vec")]) - .execute() - .await - .unwrap(); - let remapped = carried(&renamed).await.expect("config dropped"); - assert!(remapped.contains(r#""source_column":"body""#), "{remapped}"); - assert!( - remapped.contains(r#""vector_column":"embedding""#), - "{remapped}" - ); - - // The Node bindings spell the same configuration in camelCase, and - // the Rust definition names the destination `dest_column`. - for (config, source_key, dest_key) in [ - ( - r#"[{"name":"f","model":{},"sourceColumn":"text","vectorColumn":"vec"}]"#, - "sourceColumn", - "vectorColumn", - ), - ( - r#"[{"name":"f","model":{},"source_column":"text","dest_column":"vec"}]"#, - "source_column", - "dest_column", - ), - ] { - let schema = Arc::new(ArrowSchema::new_with_metadata( - vec![ - ArrowField::new("text", DataType::Utf8, true), - ArrowField::new("vec", DataType::Float32, true), - ], - HashMap::from([("embedding_functions".to_string(), config.to_string())]), - )); - let name = format!("src_{source_key}"); - conn.create_empty_table(&name, schema) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - let view = conn - .create_materialized_view(format!("v_{source_key}"), &name) - .select([("body", "text"), ("embedding", "vec")]) - .execute() - .await - .unwrap(); - let carried = carried(&view).await.expect("config dropped"); - assert!( - carried.contains(&format!(r#""{source_key}":"body""#)), - "{carried}" - ); - assert!( - carried.contains(&format!(r#""{dest_key}":"embedding""#)), - "{carried}" - ); - } - - // A computed column is not the source column under another name. - let computed = conn - .create_materialized_view("computed", "src") - .select([("body", "upper(text)"), ("embedding", "vec")]) - .execute() - .await - .unwrap(); - assert_eq!(carried(&computed).await, None); - - // One column projected twice is two columns in the view, and the - // configuration has to describe both rather than whichever came last. - let twice = conn - .create_materialized_view("twice", "src") - .select([("body", "text"), ("a", "vec"), ("b", "vec")]) - .execute() - .await - .unwrap(); - let carried = carried(&twice).await.expect("config dropped"); - let entries: Vec = serde_json::from_str(&carried).unwrap(); - let mut vectors: Vec<&str> = entries - .iter() - .filter_map(|e| e["vector_column"].as_str()) - .collect(); - vectors.sort_unstable(); - assert_eq!(vectors, ["a", "b"], "{carried}"); - } - - /// The native Rust producer records embeddings as column definitions - /// rather than as `embedding_functions`, and a query embeds its own text - /// through them. They are positional, so the view's list covers every one - /// of its fields. - #[tokio::test] - async fn test_native_column_definitions_follow_the_projection() { - let conn = connect("memory://").execute().await.unwrap(); - let rich = crate::table::TableDefinition::new( - Arc::new(ArrowSchema::new(vec![ - ArrowField::new("text", DataType::Utf8, true), - ArrowField::new("vector", DataType::Float32, true), - ])), - vec![ - ColumnDefinition { - kind: ColumnKind::Physical, - }, - ColumnDefinition { - kind: ColumnKind::Embedding(EmbeddingDefinition::new( - "text", - "model", - Some("vector"), - )), - }, - ], - ) - .into_rich_schema(); - conn.create_empty_table("src", rich) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - let view = conn - .create_materialized_view("view", "src") - .select([("body", "text"), ("embedding", "vector")]) + .create_materialized_view("copy", "src") .execute() .await .unwrap(); - let schema = view.table().schema().await.unwrap(); - let raw = schema - .metadata() - .get(COLUMN_DEFINITIONS_META_KEY) - .expect("the view dropped the native column definitions"); - let definitions: Vec = serde_json::from_str(raw).unwrap(); - assert_eq!( - definitions.len(), - schema.fields().len(), - "column definitions are positional" - ); - let ColumnKind::Embedding(embedding) = &definitions[1].kind else { - panic!("the embedding column came back physical: {raw}"); - }; - assert_eq!(embedding.source_column, "body"); - assert_eq!(embedding.dest_column.as_deref(), Some("embedding")); - assert_eq!(embedding.embedding_name, "model"); - assert!(matches!(definitions[0].kind, ColumnKind::Physical)); - assert!(matches!(definitions[2].kind, ColumnKind::Physical)); - // Without the column the function reads, the view cannot recompute - // the embedding, so it carries no definition for it. - let partial = conn - .create_materialized_view("partial", "src") - .select([("embedding", "vector")]) - .execute() - .await - .unwrap(); - assert_eq!( - partial - .table() + assert_eq!(view.table().count_rows(None).await.unwrap(), 2); + assert!( + view.table() .schema() .await .unwrap() - .metadata() - .get(COLUMN_DEFINITIONS_META_KEY), - None - ); - } - - /// A scan takes the cap as i64, so a larger one is refused where it is - /// declared rather than at the refresh that cannot run it. What a cap of - /// zero means is a refresh question, tested there. - #[tokio::test] - async fn test_limit_above_i64_max_is_refused_at_creation() { - let conn = people_db().await; - let err = conn - .create_materialized_view("too_big", "people") - .limit(i64::MAX as u64 + 1) - .execute() - .await - .unwrap_err(); - assert!( - matches!(&err, Error::InvalidInput { message } if message.contains("exceeds the maximum")), - "got {err:?}" + .field_with_name("__source_row_id") + .is_err() ); - // The boundary itself is accepted. - conn.create_materialized_view("at_max", "people") - .limit(i64::MAX as u64) + source + .add(record_batch!(("x", Int32, [3])).unwrap()) .execute() .await .unwrap(); - } + let refreshed = view.refresh().execute().await.unwrap(); + assert_eq!(refreshed.mode, RefreshMode::Rebuild); + assert_eq!(refreshed.rows_written, 3); + assert_eq!(view.table().count_rows(None).await.unwrap(), 3); - #[tokio::test] - async fn test_drop_is_drop_table() { - let conn = people_db().await; - conn.create_materialized_view("v", "people") - .execute() - .await - .unwrap(); - conn.drop_table("v", &[]).await.unwrap(); - assert!(conn.list_materialized_views().await.unwrap().is_empty()); - } + let unchanged = view.refresh().execute().await.unwrap(); + assert_eq!(unchanged.mode, RefreshMode::Rebuild); + assert_eq!(unchanged.rows_written, 3); - /// The public declaration contract: prepare validates the source and - /// create consumes the declaration into a verified view table; a - /// source that cannot anchor refresh and a target outside the - /// source's database are both refused. - #[tokio::test] - async fn prepare_and_create_bind_the_declaration_lifecycle() { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!(("id", Int32, [1, 2]), ("value", Int32, [3, 4])).unwrap(); - let source = conn - .create_table("src", batch.clone()) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - let projections = [ - ("id".to_string(), "id".to_string()), - ("double".to_string(), "value * 2".to_string()), - ]; - let prepared = prepare_declaration(&source, Some(&projections), Some("value > 0"), None) - .await - .unwrap(); - assert_eq!(prepared.definition().source_table, "src"); - - let view = prepared.create("v").await.unwrap(); - let schema = view.table().schema().await.unwrap(); - let names: Vec<&str> = schema.fields().iter().map(|f| f.name().as_str()).collect(); - assert_eq!(names, ["id", "double", SOURCE_ROW_ID_COLUMN]); - assert!(schema.metadata().contains_key(DEFINITION_META_KEY)); - - // The same call rejects a source without stable row ids, so an - // external creation path cannot skip the check. - conn.create_table("plain", batch).execute().await.unwrap(); - let plain = conn.open_table("plain").execute().await.unwrap(); - let err = prepare_declaration(&plain, None, None, None) - .await - .unwrap_err(); - assert!(err.to_string().contains("stable row ids"), "{err}"); - - // A handle whose location does not resolve back through its name is - // refused: the definition would record a name reaching other data. - let plain_uri = plain - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .uri() - .to_string(); - let masquerade = conn - .open_table("src") - .location(plain_uri) - .execute() - .await - .unwrap(); - let err = prepare_declaration(&masquerade, None, None, None) - .await - .unwrap_err(); - assert!( - err.to_string().contains("does not resolve to itself"), - "{err}" - ); - - // A table created at a custom location is refused outright: its - // recorded name reaches nothing at the database root, so the - // canonical reopen fails before any URI comparison. - let custom = conn - .create_table( - "custom_loc", - record_batch!(("id", Int32, [1, 2]), ("value", Int32, [3, 4])).unwrap(), - ) - .location("memory://elsewhere/custom_loc") - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - let err = prepare_declaration(&custom, None, None, None) - .await - .unwrap_err(); - assert!(err.to_string().contains("custom_loc"), "{err}"); - } - - /// A view declared over a namespaced source records that namespace, and - /// refresh resolves the source through it -- the coordinate round-trips. - #[tokio::test] - async fn a_namespaced_source_round_trips_through_refresh() { - use lance_namespace::models::CreateNamespaceRequest; - - let tmp = tempfile::tempdir().unwrap(); - let mut properties = std::collections::HashMap::new(); - properties.insert("root".to_string(), tmp.path().to_str().unwrap().to_string()); - let conn = crate::connect_namespace("dir", properties) - .execute() - .await - .unwrap(); - conn.create_namespace(CreateNamespaceRequest { - id: Some(vec!["ns".into()]), - ..Default::default() - }) - .await - .unwrap(); - - let batch = record_batch!( - ("name", Utf8, ["ada", "grace", "alan"]), - ("age", Int32, [36, 85, 41]) - ) - .unwrap(); - conn.create_table("people", batch) - .namespace(vec!["ns".to_string()]) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - // A decoy of the same name at the root: resolving the source at the - // wrong namespace materializes one row here instead of three. - let decoy = record_batch!(("name", Utf8, ["mallory"]), ("age", Int32, [42])).unwrap(); - conn.create_table("people", decoy) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap(); - - let view = conn - .create_materialized_view("adults", "people") - .with_no_data(true) - .namespace(vec!["ns".to_string()]) - .source_namespace(vec!["ns".to_string()]) - .select([("name", "name")]) - .only_if("age >= 18") - .execute() - .await - .unwrap(); - - assert_eq!(view.definition().source_table, "people"); - assert_eq!(view.definition().source_namespace, vec!["ns".to_string()]); - assert_eq!(view.table().namespace(), &["ns"]); - - // Refresh resolves the source at the recorded namespace, not at root. - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 3); - } - - fn definition(source_namespace: Vec) -> MaterializedViewDefinition { - MaterializedViewDefinition { - vector_source: None, - source_table: "people".to_string(), - source_namespace, - lateral: None, - projections: vec![ViewProjection { - output: "name".to_string(), - expression: "name".to_string(), - }], - filter: None, - group_by: Vec::new(), - limit: None, - } - } - - fn read(stored: impl Into) -> Result> { - read_definition(&HashMap::from([( - DEFINITION_META_KEY.to_string(), - stored.into(), - )])) - } - - /// What is stored is the query, under a format number; the same query - /// reads back whatever namespace the source sits in. - #[test] - fn the_stored_layout_is_the_canonical_query() { - for (namespace, query) in [ - (Vec::new(), "SELECT name FROM people"), - (vec!["ns".to_string()], "SELECT name FROM ns.people"), - ] { - let stored = definition_to_metadata(&definition(namespace.clone())).unwrap(); - let value: serde_json::Value = serde_json::from_str(&stored).unwrap(); - assert_eq!( - value, - serde_json::json!({"kind": "query", "format": 1, "query": query}) - ); - assert_eq!( - read(stored).unwrap(), - Some(StoredDefinition::Query(definition(namespace))) - ); - } - } - - /// The structured layout written before the format number still reads, - /// under both of its kind tags, and a tag that disagrees with its - /// namespace is an error: under `select` old readers resolved it at root. - #[test] - fn legacy_layouts_read_back() { - let legacy = |kind: &str, namespace: Vec<&str>| { - serde_json::json!({ - "kind": kind, - "source_table": "people", - "source_namespace": namespace, - "projections": [{"output": "name", "expression": "name"}], - "inputs": ["name"], - }) - .to_string() - }; - assert_eq!( - read(legacy(SELECT_KIND, vec![])).unwrap(), - Some(StoredDefinition::Query(definition(Vec::new()))) - ); - assert_eq!( - read(legacy(NAMESPACED_SELECT_KIND, vec!["ns"])).unwrap(), - Some(StoredDefinition::Query(definition(vec!["ns".into()]))) - ); - assert!( - read(r#"{"kind":"select","source_table":"people","projections":[]}"#) - .unwrap() - .is_some(), - "a pre-namespace definition carries no namespace key" - ); - for (kind, namespace) in [(SELECT_KIND, vec!["ns"]), (NAMESPACED_SELECT_KIND, vec![])] { - let err = read(legacy(kind, namespace)).unwrap_err(); - assert!( - err.to_string() - .contains("does not match its source namespace"), - "kind '{kind}': {err}" - ); - } - } - - /// A newer writer's definition is reported as such, never guessed at, - /// and a definition that is not a definition at all is an error rather - /// than a plain table. - #[test] - fn a_newer_format_is_reported_not_guessed() { - assert_eq!( - read(r#"{"format":5,"query":"SELECT name FROM people"}"#).unwrap(), - Some(StoredDefinition::Newer { format: "5".into() }) - ); - assert_eq!( - read(r#"{"kind":"join"}"#).unwrap(), - Some(StoredDefinition::Newer { - format: "kind 'join'".into() - }) - ); - for stored in [ - "{}", - r#"{"format":"one"}"#, - r#"{"format":1}"#, - r#"{"format":1,"query":"SELECT name FROM people GROUP BY name"}"#, - r#"{"format":2,"query":"SELECT name FROM people ORDER BY name"}"#, - ] { - assert!(read(stored).is_err(), "{stored}"); - } - } - - /// Planning records what the query reads of the source: a nested path - /// as itself, a read through an unnest alias as the list column. - #[test] - fn planning_records_the_source_columns_read() { - let element = DataType::Struct( - vec![ - ArrowField::new("chunk", DataType::Utf8, true), - ArrowField::new("ordinal", DataType::Int32, true), - ] - .into(), - ); - let schema = Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int64, false), - ArrowField::new( - "meta", - DataType::Struct(vec![ArrowField::new("title", DataType::Utf8, true)].into()), - true, - ), - ArrowField::new( - "chunks", - DataType::List(Arc::new(ArrowField::new("item", element, true))), - true, - ), - ])); - let planned = plan( - schema.clone(), - &MaterializedViewDefinition::from_sql( - "SELECT id, meta.title, c.chunk FROM docs, UNNEST(chunks) AS c WHERE c.ordinal < 3", - ) - .unwrap(), - None, - ) - .unwrap(); - assert_eq!(planned.inputs, ["chunks", "id", "meta.title"]); - assert_eq!( - planned - .fields - .iter() - .map(|f| f.name().as_str()) - .collect::>(), - ["id", "title", "chunk"] - ); - assert_eq!( - planned.fields[2].data_type(), - &DataType::Utf8, - "the element's field is read through the alias" - ); - - let star = plan( - schema, - &MaterializedViewDefinition::from_sql("SELECT * FROM docs, UNNEST(chunks) AS c") - .unwrap(), - None, - ) - .unwrap(); - assert_eq!( - star.definition.to_sql(), - "SELECT id, meta, c FROM docs, UNNEST(chunks) AS c" - ); - let err = plan( - Arc::new(ArrowSchema::new(vec![ArrowField::new( - "id", - DataType::Int64, - false, - )])), - &MaterializedViewDefinition::from_sql("SELECT id FROM docs, UNNEST(id) AS c").unwrap(), - None, - ) - .unwrap_err(); - assert!(err.to_string().contains("not a list"), "{err}"); - } - - /// A binding as the server records it: one Utf8 input over `input` - /// bound to a nullable parameter, one Int32 output named `output`, with - /// the exact schemas the durable contract requires. - pub fn test_binding(binding_id: &str, input: &str, output: &str) -> FunctionBinding { - let input_schema = lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![ - ArrowField::new("text", DataType::Utf8, true), - ])) - .unwrap(); - let output_schema = lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![ - ArrowField::new(output, DataType::Int32, true), - ])) - .unwrap(); - let input_type = input_schema.fields[0].r#type.r#type.clone(); - let output_type = output_schema.fields[0].r#type.r#type.clone(); - FunctionBinding::from_json( - &serde_json::json!({ - "binding_id": binding_id, - "function": {"name": "embed", "version": "1", "object_id": "fixture", "location": "memory:///fixture", - "manifest_digest": "sha256:7e22f815b6648e14f093a3979a8e5a2082fa773ebe1ec84b135cae7e84d6f8e6"}, - "inputs": [{ - "parameter": "text", "field_id": -1, "field_path": input, - "arrow_type": input_type, "nullable": true, - }], - "outputs": [{ - "result_field": "$value", "output_name": output, "output_field_id": -1, - "output_ordinal": 0, "arrow_type": output_type, "nullable": false, - }], - "input_schema": serde_json::to_value(input_schema).unwrap(), - "output_schema": serde_json::to_value(output_schema).unwrap(), - }) - .to_string(), - ) - .unwrap() - } - - /// A computed column as the server declares it on a table: bound to a - /// registered Function. - pub fn computed_field(name: &str, binding_id: &str, input: &str) -> ArrowField { - ArrowField::new(name, DataType::Int32, true).with_metadata( - crate::table::computed_columns::function_computed_column_metadata( - binding_id, - 0, - &[input.to_string()], - ), - ) - } - - pub async fn people(conn: &Connection) -> Table { - let batch = - record_batch!(("id", Int32, [1, 2, 3]), ("name", Utf8, ["a", "b", "c"])).unwrap(); - conn.create_table("people", batch) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap() - } - - /// `people` with both columns non-nullable, for nullability cases. - pub async fn strict_people(conn: &Connection) -> Table { - let schema = Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int32, false), - ArrowField::new("name", DataType::Utf8, false), - ])); - let batch = arrow_array::RecordBatch::try_new( - schema, - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1, 2, 3])), - Arc::new(arrow_array::StringArray::from(vec!["a", "b", "c"])), - ], - ) - .unwrap(); - conn.create_table("people", batch) - .write_options(stable_row_ids()) - .execute() - .await - .unwrap() - } - - async fn prepared_people(conn: &Connection) -> PreparedDeclaration { - let source = people(conn).await; - prepare_declaration( - &source, - Some(&[ - ("id".to_string(), "id".to_string()), - ("name".to_string(), "name".to_string()), - ]), - None, - None, - ) - .await - .unwrap() - } - - #[tokio::test] - async fn a_computed_column_is_declared_null_with_its_binding() { - let conn = connect("memory://").execute().await.unwrap(); - let view = prepared_people(&conn) - .await - .with_computed_columns( - vec![(2, computed_field("emb", "fb_1", "name"))], - &[test_binding("fb_1", "name", "emb")], - ) - .unwrap() - .create("v") - .await - .unwrap(); - - let schema = view.table().schema().await.unwrap(); - let names: Vec<&str> = schema.fields().iter().map(|f| f.name().as_str()).collect(); - assert_eq!(names, ["id", "name", "emb", SOURCE_ROW_ID_COLUMN]); - let declared: Vec = computed_columns(&schema) - .into_iter() - .map(|c| c.name) - .collect(); - assert_eq!(declared, ["emb"]); - let bindings = crate::table::computed_columns::function_bindings(&schema).unwrap(); - assert_eq!(bindings.len(), 1); - assert_eq!(bindings[0].binding_id(), "fb_1"); - // The stored definition is the query alone; bindings live beside it. - let stored: serde_json::Value = - serde_json::from_str(&schema.metadata()[DEFINITION_META_KEY]).unwrap(); - assert_eq!(stored["format"], 1); - assert_eq!(view.definition().projections.len(), 2); + source.delete("true").await.unwrap(); + let emptied = view.refresh().execute().await.unwrap(); + assert_eq!(emptied.mode, RefreshMode::Rebuild); + assert_eq!(emptied.rows_written, 0); assert_eq!(view.table().count_rows(None).await.unwrap(), 0); - assert_eq!(conn.open_materialized_view("v").await.unwrap().name(), "v"); - } - - #[tokio::test] - async fn computed_column_declarations_are_validated() { - let conn = connect("memory://").execute().await.unwrap(); - let prepared = prepared_people(&conn).await; - let binding = test_binding("fb_1", "name", "emb"); - let fails = |prepared: PreparedDeclaration, - columns: Vec<(usize, ArrowField)>, - bindings: &[FunctionBinding]| { - prepared - .with_computed_columns(columns, bindings) - .err() - .map(|e| e.to_string()) - .expect("the declaration should be refused") - }; - let emb = |binding_id: &str| computed_field("emb", binding_id, "name"); - - let err = fails( - prepared.clone(), - vec![(2, emb("fb_1").with_nullable(false))], - std::slice::from_ref(&binding), - ); - assert!(err.contains("must be nullable"), "{err}"); - - let plain = ArrowField::new("emb", DataType::Int32, true); - let err = fails( - prepared.clone(), - vec![(2, plain)], - std::slice::from_ref(&binding), - ); - assert!( - err.contains("does not carry a computed-column declaration"), - "{err}" - ); - - // The rest is the computed-column contract: a binding the field does - // not name, an output the binding does not map to this field, an - // input the view does not hold. - let err = fails( - prepared.clone(), - vec![(2, emb("fb_other"))], - std::slice::from_ref(&binding), - ); - assert!(err.contains("does not match binding 'fb_1'"), "{err}"); - let err = fails( - prepared.clone(), - vec![(2, emb("fb_1"))], - &[test_binding("fb_1", "name", "different_output")], - ); - assert!(err.contains("different_output"), "{err}"); - let err = fails( - prepared.clone(), - vec![(2, emb("fb_1"))], - &[test_binding("fb_1", "bio", "emb")], - ); - assert!(err.contains("'bio'"), "{err}"); - - let err = fails( - prepared.clone(), - vec![(2, computed_field("name", "fb_1", "name"))], - &[test_binding("fb_1", "name", "name")], - ); - assert!(err.contains("already exists"), "{err}"); - let err = fails( - prepared.clone(), - vec![(2, computed_field(SOURCE_ROW_ID_COLUMN, "fb_1", "name"))], - &[test_binding("fb_1", "name", SOURCE_ROW_ID_COLUMN)], - ); - assert!(err.contains("reserved"), "{err}"); - let err = fails( - prepared.clone(), - vec![(7, emb("fb_1"))], - std::slice::from_ref(&binding), - ); - assert!( - err.contains("placed at 7, past the view's 2 columns"), - "{err}" - ); - let err = fails(prepared, Vec::new(), std::slice::from_ref(&binding)); - assert!(err.contains("at least one computed column"), "{err}"); - } - - /// A source column a computed column reads without the view projecting - /// it becomes an internal projection before the provenance column, with - /// the source's nullability; a projected column is read from its - /// projection. - /// `Some(&[])` is a declaration that projects nothing yet: a view of - /// computed columns alone, whose inputs `input_column` places. `None` - /// is `SELECT *`. The two must not collapse into each other. - #[tokio::test] - async fn an_empty_projection_list_is_not_a_star() { - let conn = connect("memory://").execute().await.unwrap(); - let source = strict_people(&conn).await; - - let mut prepared = prepare_declaration(&source, Some(&[]), None, None) - .await - .unwrap(); - assert!(prepared.definition().projections.is_empty()); - assert_eq!(prepared.input_column("name").unwrap(), "__input_name"); - let view = prepared - .with_computed_columns( - vec![(0, computed_field("emb", "fb_1", "__input_name"))], - &[test_binding("fb_1", "__input_name", "emb")], - ) - .unwrap() - .create("only") - .await - .unwrap(); - let schema = view.table().schema().await.unwrap(); - let names: Vec<&str> = schema.fields().iter().map(|f| f.name().as_str()).collect(); - assert_eq!(names, ["emb", "__input_name", SOURCE_ROW_ID_COLUMN]); - assert_eq!( - view.definition().to_sql(), - "SELECT name AS __input_name FROM people" - ); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 3); - let reopened = conn.open_materialized_view("only").await.unwrap(); - assert_eq!(reopened.definition(), view.definition()); - - let all = prepare_declaration(&source, None, None, None) - .await - .unwrap(); - assert!( - !all.definition().selects_star(), - "planning expands the star" - ); - let outputs: Vec<&str> = all - .definition() - .projections - .iter() - .map(|p| p.output.as_str()) - .collect(); - assert_eq!(outputs, ["id", "name"]); - } - - #[tokio::test] - async fn an_unprojected_input_becomes_an_internal_projection() { - let conn = connect("memory://").execute().await.unwrap(); - let source = strict_people(&conn).await; - let mut prepared = prepare_declaration( - &source, - Some(&[("key".to_string(), "id".to_string())]), - None, - None, - ) - .await - .unwrap(); - assert_eq!(prepared.input_column("id").unwrap(), "key"); - assert_eq!(prepared.input_column("name").unwrap(), "__input_name"); - assert_eq!(prepared.input_column("name").unwrap(), "__input_name"); - let err = prepared.input_column("missing").unwrap_err().to_string(); - assert!(err.contains("no column 'missing'"), "{err}"); - - let view = prepared - .with_computed_columns( - vec![(1, computed_field("emb", "fb_1", "__input_name"))], - &[test_binding("fb_1", "__input_name", "emb")], - ) - .unwrap() - .create("v") - .await - .unwrap(); - let schema = view.table().schema().await.unwrap(); - let names: Vec<&str> = schema.fields().iter().map(|f| f.name().as_str()).collect(); - assert_eq!(names, ["key", "emb", "__input_name", SOURCE_ROW_ID_COLUMN]); - let input = schema.field_with_name("__input_name").unwrap(); - assert_eq!(input.data_type(), &DataType::Utf8); - assert!( - !input.is_nullable(), - "the copy keeps the source's nullability" - ); - assert!(!schema.field_with_name("key").unwrap().is_nullable()); - let projections: Vec<(&str, &str)> = view - .definition() - .projections - .iter() - .map(|p| (p.output.as_str(), p.expression.as_str())) - .collect(); - assert_eq!(projections, [("key", "id"), ("__input_name", "name")]); - } - - /// Two outputs of one binding land at consecutive positions: each - /// insertion widens the range the next may take. - #[tokio::test] - async fn sibling_computed_columns_take_consecutive_positions() { - let conn = connect("memory://").execute().await.unwrap(); - let source = people(&conn).await; - let prepared = prepare_declaration( - &source, - Some(&[("id".to_string(), "id".to_string())]), - None, - None, - ) - .await - .unwrap(); - let metadata = |ordinal: u32| { - crate::table::computed_columns::function_computed_column_metadata( - "fb_pair", - ordinal, - &["id".to_string()], - ) - }; - let left = ArrowField::new("left", DataType::Int32, true).with_metadata(metadata(0)); - let right = ArrowField::new("right", DataType::Int32, true).with_metadata(metadata(1)); - let input_schema = lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![ - ArrowField::new("value", DataType::Int32, true), - ])) - .unwrap(); - let output_schema = lance_namespace::schema::arrow_schema_to_json(&ArrowSchema::new(vec![ - ArrowField::new("left", DataType::Int32, true), - ArrowField::new("right", DataType::Int32, true), - ])) - .unwrap(); - let int = input_schema.fields[0].r#type.r#type.clone(); - let binding = FunctionBinding::from_json( - &serde_json::json!({ - "binding_id": "fb_pair", - "function": {"name": "pair", "version": "1", "object_id": "fixture", "location": "memory:///fixture", - "manifest_digest": "sha256:7e22f815b6648e14f093a3979a8e5a2082fa773ebe1ec84b135cae7e84d6f8e6"}, - "inputs": [{"parameter": "value", "field_id": -1, "field_path": "id", - "arrow_type": int, "nullable": true}], - "outputs": [ - {"result_field": "left", "output_name": "left", "output_field_id": -1, - "output_ordinal": 0, "arrow_type": int, "nullable": false}, - {"result_field": "right", "output_name": "right", "output_field_id": -1, - "output_ordinal": 1, "arrow_type": int, "nullable": false}, - ], - "input_schema": serde_json::to_value(input_schema).unwrap(), - "output_schema": serde_json::to_value(output_schema).unwrap(), - }) - .to_string(), - ) - .unwrap(); - let view = prepared - .with_computed_columns(vec![(1, left), (2, right)], &[binding]) - .unwrap() - .create("v") - .await - .unwrap(); - let names: Vec = view - .table() - .schema() - .await - .unwrap() - .fields() - .iter() - .map(|f| f.name().clone()) - .collect(); - assert_eq!(names, ["id", "left", "right", SOURCE_ROW_ID_COLUMN]); - } - - /// A SQL declaration as `add_columns().computed()` records it. - pub fn sql_field( - name: &str, - data_type: DataType, - expression: &str, - inputs: &str, - ) -> ArrowField { - use crate::table::computed_columns::{ - COMPUTED_COLUMN_META_KEY, EXPRESSION_META_KEY, INPUTS_META_KEY, KIND_META_KEY, SQL_KIND, - }; - ArrowField::new(name, data_type, true).with_metadata(HashMap::from([ - (COMPUTED_COLUMN_META_KEY.to_string(), "true".to_string()), - (KIND_META_KEY.to_string(), SQL_KIND.to_string()), - (EXPRESSION_META_KEY.to_string(), expression.to_string()), - (INPUTS_META_KEY.to_string(), inputs.to_string()), - ])) - } - - /// A SQL declaration is re-planned at admission: it must parse against - /// the view, yield the declared type, and read the inputs it declares. - #[tokio::test] - async fn a_sql_declaration_is_planned_at_admission() { - let conn = connect("memory://").execute().await.unwrap(); - let fails = |prepared: PreparedDeclaration, field: ArrowField| { - prepared - .with_computed_columns(vec![(1, field)], &[]) - .err() - .map(|e| e.to_string()) - .expect("the declaration should be refused") - }; - let prepared = prepared_people(&conn).await; - let err = fails( - prepared.clone(), - sql_field("bad", DataType::Int32, "missing + 1", r#"["missing"]"#), - ); - assert!(err.contains("missing"), "{err}"); - let err = fails( - prepared.clone(), - sql_field("wide", DataType::Int64, "id + 1", r#"["id"]"#), - ); - assert!( - err.contains("declared as Int64 but its expression yields Int32"), - "{err}" - ); - let err = fails( - prepared.clone(), - sql_field("lying", DataType::Int32, "id + 1", r#"["name"]"#), - ); - assert!(err.contains("declares inputs"), "{err}"); - - let view = prepared - .with_computed_columns( - vec![(1, sql_field("next", DataType::Int32, "id + 1", r#"["id"]"#))], - &[], - ) - .unwrap() - .create("v") - .await - .unwrap(); - let names: Vec = view - .table() - .schema() - .await - .unwrap() - .fields() - .iter() - .map(|f| f.name().clone()) - .collect(); - assert_eq!(names, ["id", "next", "name", SOURCE_ROW_ID_COLUMN]); - } - - /// Creation persists a declaration only when it re-plans and the data - /// carries no values for it, whichever door created the table. - #[tokio::test] - async fn a_created_table_cannot_carry_computed_values() { - let conn = connect("memory://").execute().await.unwrap(); - let schema = Arc::new(ArrowSchema::new(vec![ - ArrowField::new("x", DataType::Int32, false), - sql_field("forged", DataType::Int32, "x + 1", r#"["x"]"#), - ])); - let filled = arrow_array::RecordBatch::try_new( - schema.clone(), - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1])), - Arc::new(arrow_array::Int32Array::from(vec![999])), - ], - ) - .unwrap(); - let err = conn - .create_table("forged", filled) - .execute() - .await - .unwrap_err() - .to_string(); - assert!(err.contains("cannot be written directly"), "{err}"); - assert!( - !conn - .table_names() - .execute() - .await - .unwrap() - .contains(&"forged".to_string()) - ); - - let unfilled = arrow_array::RecordBatch::try_new( - schema, - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1])), - Arc::new(arrow_array::Int32Array::new_null(1)), - ], - ) - .unwrap(); - let table = conn - .create_table("declared", unfilled) - .execute() - .await - .unwrap(); - assert_eq!(table.refresh_column("forged").await.unwrap().rows_filled, 1); - - // A declaration with only its marker is broken, not absent. - let half = ArrowField::new("half", DataType::Int32, true).with_metadata(HashMap::from([( - crate::table::computed_columns::COMPUTED_COLUMN_META_KEY.to_string(), - "true".to_string(), - )])); - let batch = arrow_array::RecordBatch::try_new( - Arc::new(ArrowSchema::new(vec![ - ArrowField::new("x", DataType::Int32, false), - half, - ])), - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1])), - Arc::new(arrow_array::Int32Array::from(vec![999])), - ], - ) - .unwrap(); - let err = conn - .create_table("half", batch) - .execute() - .await - .unwrap_err() - .to_string(); - assert!( - err.contains("incomplete computed-column declaration"), - "{err}" - ); - - let bogus = Arc::new(ArrowSchema::new(vec![ - ArrowField::new("x", DataType::Int32, false), - sql_field("bad", DataType::Int32, "missing + 1", r#"["missing"]"#), - ])); - let batch = arrow_array::RecordBatch::new_empty(bogus); - let err = conn - .create_table("bogus", batch) - .execute() - .await - .unwrap_err() - .to_string(); - assert!(err.contains("missing"), "{err}"); - } - - /// The internal-input prefix is reserved for the declaration, like the - /// provenance column, so an alias cannot masquerade as an internal input. - #[tokio::test] - async fn the_internal_input_prefix_is_reserved() { - let conn = connect("memory://").execute().await.unwrap(); - let source = people(&conn).await; - let err = prepare_declaration( - &source, - Some(&[("__input_x".to_string(), "name".to_string())]), - None, - None, - ) - .await - .unwrap_err() - .to_string(); - assert!(err.contains("'__input_x' is reserved"), "{err}"); - } - - /// A computed column may not read another, through any path: a - /// Function bound to a child of a computed struct is refused like a SQL - /// declaration over it. - #[tokio::test] - async fn a_computed_column_cannot_read_a_computed_root() { - let conn = connect("memory://").execute().await.unwrap(); - let prepared = prepared_people(&conn).await; - let payload = sql_field( - "payload", - DataType::Struct(vec![ArrowField::new("value", DataType::Utf8, true)].into()), - "named_struct('value', name)", - r#"["name"]"#, - ); - let err = prepared - .with_computed_columns( - vec![ - (2, payload), - (3, computed_field("emb", "fb_dependent", "payload.value")), - ], - &[test_binding("fb_dependent", "payload.value", "emb")], - ) - .err() - .map(|e| e.to_string()) - .expect("a computed root as a Function input should be refused"); - assert!(err.contains("reads computed column 'payload'"), "{err}"); - } - - /// The root check uses the canonical path parser: a quoted top-level - /// name containing a dot is one root, not two segments. - #[tokio::test] - async fn a_quoted_computed_root_is_still_refused() { - let conn = connect("memory://").execute().await.unwrap(); - let prepared = prepared_people(&conn).await; - let payload = sql_field( - "payload.dot", - DataType::Struct(vec![ArrowField::new("value", DataType::Utf8, true)].into()), - "named_struct('value', name)", - r#"["name"]"#, - ); - let input = "`payload.dot`.value"; - let err = prepared - .with_computed_columns( - vec![ - (2, payload), - (3, computed_field("emb", "fb_dependent", input)), - ], - &[test_binding("fb_dependent", input, "emb")], - ) - .err() - .map(|e| e.to_string()) - .expect("a quoted computed root should be refused"); - assert!(err.contains("reads computed column 'payload.dot'"), "{err}"); - } - - /// Namespace-backed creation admits declarations by the same rule, and - /// refuses before the namespace records the table. - #[tokio::test] - async fn a_namespace_created_table_cannot_carry_computed_values() { - let tmp = tempfile::tempdir().unwrap(); - let mut properties = std::collections::HashMap::new(); - properties.insert("root".to_string(), tmp.path().to_str().unwrap().to_string()); - let conn = crate::connect_namespace("dir", properties) - .execute() - .await - .unwrap(); - let half = ArrowField::new("half", DataType::Int32, true).with_metadata(HashMap::from([( - crate::table::computed_columns::COMPUTED_COLUMN_META_KEY.to_string(), - "true".to_string(), - )])); - let batch = arrow_array::RecordBatch::try_new( - Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int32, false), - half, - ])), - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1])), - Arc::new(arrow_array::Int32Array::from(vec![999])), - ], - ) - .unwrap(); - let err = conn - .create_table("malformed", batch) - .execute() - .await - .unwrap_err() - .to_string(); - assert!( - err.contains("incomplete computed-column declaration"), - "{err}" - ); - assert!(conn.table_names().execute().await.unwrap().is_empty()); - - let schema = Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int32, false), - sql_field("next", DataType::Int32, "id + 1", r#"["id"]"#), - ])); - let filled = arrow_array::RecordBatch::try_new( - schema.clone(), - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1])), - Arc::new(arrow_array::Int32Array::from(vec![999])), - ], - ) - .unwrap(); - let err = conn - .create_table("forged", filled) - .execute() - .await - .unwrap_err() - .to_string(); - assert!(err.contains("cannot be written directly"), "{err}"); - - let unfilled = arrow_array::RecordBatch::try_new( - schema, - vec![ - Arc::new(arrow_array::Int32Array::from(vec![1])), - Arc::new(arrow_array::Int32Array::new_null(1)), - ], - ) - .unwrap(); - let table = conn - .create_table("declared", unfilled) - .execute() - .await - .unwrap(); - assert_eq!(table.refresh_column("next").await.unwrap().rows_filled, 1); - } - - /// A projected column keeps its nullability; a computed value is - /// nullable. - #[tokio::test] - async fn an_identity_projection_keeps_source_nullability() { - let conn = connect("memory://").execute().await.unwrap(); - let source = strict_people(&conn).await; - let prepared = prepare_declaration( - &source, - Some(&[ - ("id".to_string(), "id".to_string()), - ("n".to_string(), "name".to_string()), - ("next".to_string(), "id + 1".to_string()), - ]), - None, - None, - ) - .await - .unwrap(); - let nullable: Vec = prepared - .schema() - .fields() - .iter() - .map(|f| f.is_nullable()) - .collect(); - assert_eq!(nullable, [false, false, true, false]); } } diff --git a/rust/lancedb/src/materialized_view/differential.rs b/rust/lancedb/src/materialized_view/differential.rs deleted file mode 100644 index 396b4e65b..000000000 --- a/rust/lancedb/src/materialized_view/differential.rs +++ /dev/null @@ -1,730 +0,0 @@ -// SPDX-License-Identifier: Apache-2.0 -// SPDX-FileCopyrightText: Copyright The LanceDB Authors - -//! Differential refresh testing. -//! -//! The refresh contract is a property: after any sequence of source -//! mutations, a view maintained by default (incremental-where-possible) -//! refreshes equals the definition evaluated against the source directly, -//! and so does a forced rebuild. The oracle is an independent read of the -//! source -- plain column scan, filter applied in Rust -- so it shares -//! nothing with the refresh path it checks. -//! -//! The oracle runs after every step, not just at the end: a later mutation -//! that forces a rebuild would silently heal an incremental error, and those -//! transient errors are exactly the bugs this exists to catch. - -use arrow_array::{Float32Array, Int32Array, RecordBatch}; -use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema}; -use futures::{StreamExt, TryStreamExt}; -use lance::dataset::NewColumnTransform; -use std::sync::Arc; - -use super::MaterializedView; -use super::refresh::RefreshMode; -use crate::connect; -use crate::connection::Connection; -use crate::query::{ExecutableQuery, QueryBase, Select}; -use crate::table::{CompactionOptions, OptimizeAction, Table}; - -/// One source mutation, one per correctness-relevant class. -#[derive(Debug, Clone, Copy, PartialEq, Eq)] -enum SrcOp { - /// Fresh non-colliding ids of both parities, so every other op has - /// view-resident rows to act on: the only op that should refresh - /// incrementally. - AppendNew, - /// Deletion in surviving fragments must break the pure-append check. - DeleteEven, - /// An in-place update; on the filtered shape it crosses the predicate, - /// so rows must leave the view. - UpdateOddScore, - /// Fragment rewrite/renumber must break the pure-append check. - Compact, - /// A column the view does not read must NOT force a rebuild. - AddColumn, - /// merge_insert commits an Update whose by-source arm deletes rows, so a - /// classifier that reads Update as "changed only" loses those deletions. - MergeDropLargest, - /// merge_insert that both changes existing rows and inserts new ones in - /// one transaction. - MergeUpsert, -} - -const ALL_OPS: [SrcOp; 7] = [ - SrcOp::AppendNew, - SrcOp::DeleteEven, - SrcOp::UpdateOddScore, - SrcOp::Compact, - SrcOp::AddColumn, - SrcOp::MergeDropLargest, - SrcOp::MergeUpsert, -]; - -#[derive(Debug, Clone, Copy, PartialEq, Eq)] -enum Shape { - /// SELECT id, score. - Identity, - /// SELECT id, score WHERE score > 50: additionally sensitive to rows - /// crossing the predicate. - Filtered, - /// SELECT id, score LIMIT 4. Which rows are held depends on the order - /// they were first materialized, so the oracle checks containment and - /// the cap rather than equality. - Limited, -} - -impl Shape { - fn filter(&self) -> Option<&'static str> { - match self { - Self::Identity | Self::Limited => None, - Self::Filtered => Some("score > 50"), - } - } - - fn matches(&self, score: f32) -> bool { - match self { - Self::Identity | Self::Limited => true, - Self::Filtered => score > 50.0, - } - } - - fn limit(&self) -> Option { - match self { - Self::Limited => Some(4), - _ => None, - } - } -} - -struct Case { - conn: Connection, - source: Table, - view: MaterializedView, - shape: Shape, - next_id: i32, - added_columns: u32, -} - -fn rows_batch(ids: &[i32]) -> RecordBatch { - let scores: Vec = ids.iter().map(|id| (*id * 10) as f32).collect(); - RecordBatch::try_new( - Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int32, true), - ArrowField::new("score", DataType::Float32, true), - ])), - vec![ - Arc::new(Int32Array::from(ids.to_vec())), - Arc::new(Float32Array::from(scores)), - ], - ) - .unwrap() -} - -fn merge_batch(ids: &[i32]) -> RecordBatch { - let scores: Vec = ids.iter().map(|id| (*id * 10 + 5) as f32).collect(); - RecordBatch::try_new( - Arc::new(ArrowSchema::new(vec![ - ArrowField::new("id", DataType::Int32, true), - ArrowField::new("score", DataType::Float32, true), - ])), - vec![ - Arc::new(Int32Array::from(ids.to_vec())), - Arc::new(Float32Array::from(scores)), - ], - ) - .unwrap() -} - -impl Case { - async fn new(shape: Shape) -> Self { - let conn = connect("memory://").execute().await.unwrap(); - let source = conn - .create_table("src", rows_batch(&[1, 2, 3, 4])) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - let mut builder = conn - .create_materialized_view("view", "src") - .select([("id", "id"), ("score", "score")]); - if let Some(filter) = shape.filter() { - builder = builder.only_if(filter); - } - if let Some(limit) = shape.limit() { - builder = builder.limit(limit as u64); - } - let view = builder.execute().await.unwrap(); - Self { - conn, - source, - view, - shape, - next_id: 100, - added_columns: 0, - } - } - - async fn apply(&mut self, op: SrcOp) { - match op { - SrcOp::AppendNew => { - // Mixed parity: the middle id is odd, so UpdateOddScore always - // has a filter-matching appended row to evict. - let ids = vec![self.next_id, self.next_id + 101, self.next_id + 202]; - self.next_id += 303; - self.source.add(rows_batch(&ids)).execute().await.unwrap(); - } - SrcOp::DeleteEven => { - self.source.delete("id % 2 = 0").await.unwrap(); - } - SrcOp::UpdateOddScore => { - self.source - .update() - .column("score", "-1.0") - .only_if("id % 2 = 1") - .execute() - .await - .unwrap(); - } - SrcOp::Compact => { - self.source - .optimize(OptimizeAction::Compact { - options: CompactionOptions::default(), - remap_options: None, - }) - .await - .unwrap(); - } - SrcOp::MergeDropLargest => { - let mut ids = self.source_ids().await; - ids.sort_unstable(); - ids.pop(); - if ids.is_empty() { - return; - } - let batch = rows_batch(&ids); - let reader = - arrow_array::RecordBatchIterator::new(vec![Ok(batch.clone())], batch.schema()); - let mut merge = self.source.merge_insert(&["id"]); - merge.when_not_matched_by_source_delete(None); - merge.execute(Box::new(reader)).await.unwrap(); - } - SrcOp::MergeUpsert => { - let mut ids = self.source_ids().await; - ids.sort_unstable(); - // One row that exists (updated in place) and one that does not. - let existing = ids.first().copied().unwrap_or(self.next_id); - let fresh = self.next_id; - self.next_id += 1; - let batch = merge_batch(&[existing, fresh]); - let reader = - arrow_array::RecordBatchIterator::new(vec![Ok(batch.clone())], batch.schema()); - let mut merge = self.source.merge_insert(&["id"]); - merge - .when_matched_update_all(None) - .when_not_matched_insert_all(); - merge.execute(Box::new(reader)).await.unwrap(); - } - SrcOp::AddColumn => { - self.added_columns += 1; - let field = ArrowField::new( - format!("extra_{}", self.added_columns), - DataType::Int32, - true, - ); - self.source - .add_columns() - .transform(NewColumnTransform::AllNulls(Arc::new(ArrowSchema::new( - vec![field], - )))) - .execute() - .await - .unwrap(); - } - } - } - - async fn source_ids(&self) -> Vec { - read_rows( - self.source - .query() - .select(Select::columns(&["id", "score"])), - ) - .await - .into_iter() - .map(|(id, _)| id) - .collect() - } - - /// The definition's result, read independently of the refresh path: - /// plain column scan, filter applied here, sorted. - async fn oracle(&self) -> Vec<(i32, i32)> { - let mut rows = read_rows( - self.source - .query() - .select(Select::columns(&["id", "score"])), - ) - .await - .into_iter() - .filter(|(_, score)| self.shape.matches(*score as f32)) - .collect::>(); - rows.sort_unstable(); - rows - } - - async fn view_rows(&self) -> Vec<(i32, i32)> { - let mut rows = read_rows( - self.view - .table() - .query() - .select(Select::columns(&["id", "score"])), - ) - .await; - rows.sort_unstable(); - rows - } - - async fn check(&self, label: &str) -> Result<(), String> { - let expected = self.oracle().await; - let actual = self.view_rows().await; - let Some(cap) = self.shape.limit() else { - if expected != actual { - return Err(format!( - "{label}: view diverged from oracle\n expected: {expected:?}\n actual: {actual:?}" - )); - } - return Ok(()); - }; - // A capped view holds some subset of the definition's result, never - // more than the cap, and never the same row twice. - if actual.len() > cap { - return Err(format!( - "{label}: view holds {} rows, over its cap of {cap}: {actual:?}", - actual.len() - )); - } - let mut unique = actual.clone(); - unique.dedup(); - if unique.len() != actual.len() { - return Err(format!("{label}: view holds a row twice: {actual:?}")); - } - if let Some(stray) = actual.iter().find(|row| !expected.contains(row)) { - return Err(format!( - "{label}: view holds {stray:?}, which the definition does not select: {expected:?}" - )); - } - // Below the cap the view must be complete, or a row was lost. - if actual.len() < cap.min(expected.len()) { - return Err(format!( - "{label}: view holds {} of {} selectable rows under a cap of {cap}: {actual:?}", - actual.len(), - expected.len() - )); - } - Ok(()) - } -} - -async fn read_rows(query: impl ExecutableQuery) -> Vec<(i32, i32)> { - let batches = query - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - batches - .iter() - .flat_map(|batch| { - let ids = batch["id"].as_any().downcast_ref::().unwrap(); - let scores = batch["score"] - .as_any() - .downcast_ref::() - .unwrap(); - // Scores are integer-valued by construction; compare exactly. - (0..batch.num_rows()) - .map(|i| (ids.value(i), scores.value(i) as i32)) - .collect::>() - }) - .collect() -} - -/// Drive one mutation sequence: refresh + oracle-check after every step, -/// then a forced rebuild checked against the same oracle. -async fn run_sequence(ops: &[SrcOp], shape: Shape) -> Result<(), String> { - let label = format!("{shape:?} {ops:?}"); - let mut case = Case::new(shape).await; - case.view - .refresh() - .execute() - .await - .map_err(|e| format!("{label}: initial refresh failed: {e}"))?; - case.check(&format!("{label} (initial)")).await?; - - for (step, op) in ops.iter().enumerate() { - case.apply(*op).await; - case.view - .refresh() - .execute() - .await - .map_err(|e| format!("{label}: refresh at step {step} failed: {e}"))?; - case.check(&format!("{label} (step {step}, {op:?})")) - .await?; - } - - case.view - .refresh() - .full(true) - .execute() - .await - .map_err(|e| format!("{label}: final full refresh failed: {e}"))?; - case.check(&format!("{label} (final rebuild)")).await?; - // Silence the unused-connection lint without dropping it mid-case. - let _ = &case.conn; - Ok(()) -} - -/// Every op sequence up to `max_len`. -fn all_sequences(max_len: u32) -> Vec> { - let mut sequences = Vec::new(); - for len in 1..=max_len { - for mut index in 0..ALL_OPS.len().pow(len) { - let mut ops = Vec::with_capacity(len as usize); - for _ in 0..len { - ops.push(ALL_OPS[index % ALL_OPS.len()]); - index /= ALL_OPS.len(); - } - sequences.push(ops); - } - } - sequences -} - -async fn run_exhaustive(max_len: u32) { - let mut cases = Vec::new(); - for shape in [Shape::Identity, Shape::Filtered, Shape::Limited] { - for ops in all_sequences(max_len) { - cases.push((ops, shape)); - } - } - let failures: Vec = futures::stream::iter(cases) - .map(|(ops, shape)| async move { run_sequence(&ops, shape).await.err() }) - .buffer_unordered(8) - .filter_map(|failure| async move { failure }) - .collect() - .await; - assert!( - failures.is_empty(), - "{} sequences diverged; first: {}", - failures.len(), - failures[0] - ); -} - -#[tokio::test(flavor = "multi_thread")] -async fn differential_exhaustive() { - run_exhaustive(3).await; -} - -#[tokio::test(flavor = "multi_thread")] -#[ignore = "longer sweep; run manually"] -async fn differential_exhaustive_deep() { - run_exhaustive(4).await; -} - -/// Named interleavings that double as repro handles. The mode assertions pin -/// the classifier, which value comparison alone cannot: a wrongly rebuilt -/// view still matches the oracle. -#[tokio::test(flavor = "multi_thread")] -async fn differential_named_regressions() { - // An append is the one op that must stay incremental. - let mut case = Case::new(Shape::Identity).await; - case.view.refresh().execute().await.unwrap(); - case.apply(SrcOp::AppendNew).await; - let result = case.view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - case.check("append stays incremental").await.unwrap(); - - // A column the view does not read must not force a rebuild. - let mut case = Case::new(Shape::Identity).await; - case.view.refresh().execute().await.unwrap(); - case.apply(SrcOp::AddColumn).await; - let result = case.view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 0); - - // Compaction rearranges rows without changing them: the watermark - // advances and nothing rebuilds. - let mut case = Case::new(Shape::Identity).await; - case.view.refresh().execute().await.unwrap(); - case.apply(SrcOp::AppendNew).await; - case.view.refresh().execute().await.unwrap(); - case.apply(SrcOp::Compact).await; - let result = case.view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 0); - case.check("compaction alone").await.unwrap(); - - // Fragment bookkeeping stays coherent across the compaction: the next - // append is separable and computed alone. - case.apply(SrcOp::AppendNew).await; - let result = case.view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 3); - case.check("compact then append").await.unwrap(); - - // A row updated to no longer match the filter must leave the view -- - // and the fixture must prove the eviction happened, not merely that the - // end state matches: an update that never touched a view-resident row - // would also "match". - let mut case = Case::new(Shape::Filtered).await; - case.apply(SrcOp::AppendNew).await; - case.view.refresh().execute().await.unwrap(); - let before = case.view_rows().await.len(); - case.apply(SrcOp::UpdateOddScore).await; - case.view.refresh().execute().await.unwrap(); - let after = case.view_rows().await.len(); - assert!( - after < before, - "no view-resident row was evicted ({before} -> {after}); the fixture \ - no longer exercises the filtered-update transition" - ); - case.check("update crosses the filter").await.unwrap(); -} - -// --------------------------------------------------------------------------- -// Concurrency -// --------------------------------------------------------------------------- -// -// The sequential cases above cannot observe a cross-process race: the -// per-view refresh lock is process-local, so a second refresh in this -// process queues behind the first. What is missing is not more op -// sequences but a second process. These cases add one, and assert the same -// property the harness always asserts -- the view holds each row once. - -/// Rows the definition selects from the source: every id but the first, -/// read straight from the source, sharing nothing with the refresh path. -async fn concurrency_oracle(conn: &Connection) -> Vec { - let batches: Vec = conn - .open_table("src") - .execute() - .await - .unwrap() - .query() - .select(Select::columns(&["id"])) - .execute() - .await - .unwrap() - .try_collect() - .await - .unwrap(); - let mut ids = Vec::new(); - for batch in &batches { - let column = batch - .column(0) - .as_any() - .downcast_ref::() - .unwrap(); - for i in 0..batch.num_rows() { - if column.value(i) > 1 { - ids.push(column.value(i)); - } - } - } - ids.sort_unstable(); - ids -} - -/// The view's ids, sorted. -async fn concurrency_view_ids(conn: &Connection) -> Vec { - let batches: Vec = conn - .open_table("mv") - .execute() - .await - .unwrap() - .query() - .select(Select::columns(&["id"])) - .execute() - .await - .unwrap() - .try_collect() - .await - .unwrap(); - let mut ids = Vec::new(); - for batch in &batches { - let column = batch - .column(0) - .as_any() - .downcast_ref::() - .unwrap(); - for i in 0..batch.num_rows() { - ids.push(column.value(i)); - } - } - ids.sort_unstable(); - ids -} - -/// One refresh of the view at `MV_RACE_DIR`, in its own process. -/// -/// Setup happens before the start barrier so warm-up does not stagger the -/// two processes. What makes the race certain rather than likely is the -/// second barrier inside `refresh()` itself, which holds every participant -/// between staging and commit. -#[tokio::test] -#[ignore = "spawned as a child process by the concurrency cases"] -async fn cross_process_refresh_child() { - let Ok(dir) = std::env::var("MV_RACE_DIR") else { - return; - }; - let dir = std::path::PathBuf::from(dir); - let tag = std::env::var("MV_RACE_TAG").unwrap(); - - let conn = connect(dir.to_str().unwrap()).execute().await.unwrap(); - let table = conn.open_table("mv").execute().await.unwrap(); - let _ = table.schema().await.unwrap(); - let _ = table.count_rows(None).await.unwrap(); - let source = conn.open_table("src").execute().await.unwrap(); - let _ = source.count_rows(None).await.unwrap(); - let view = MaterializedView::from_table(table).await.unwrap(); - - std::fs::write(dir.join(format!("ready-{tag}")), b"1").unwrap(); - while !dir.join("START").exists() { - std::thread::sleep(std::time::Duration::from_millis(2)); - } - - let outcome = match view.refresh().execute().await { - Ok(result) => format!("committed rows={}", result.rows_written), - Err(err) if is_commit_conflict(&err) => "conflicted".to_string(), - Err(err) => format!("failed {err}"), - }; - std::fs::write(dir.join(format!("outcome-{tag}")), outcome).unwrap(); -} - -/// Whether a refresh lost its commit to a concurrent one, as opposed to -/// failing for any other reason. -fn is_commit_conflict(err: &crate::Error) -> bool { - let text = err.to_string(); - text.contains("Retryable commit conflict") || text.contains("preempted by concurrent") -} - -/// Two processes refreshing one view concurrently must leave the view -/// equal to the oracle: each selected row present exactly once. -/// -/// Both plan the same incremental delta from one watermark. A refresh is -/// meant to land on the generation it planned or leave nothing behind, so -/// at most one of them may write. -#[tokio::test] -async fn concurrent_refreshes_hold_each_row_once() { - let dir = tempfile::tempdir().unwrap(); - let path = dir.path().to_str().unwrap().to_string(); - let conn = connect(&path).execute().await.unwrap(); - conn.create_table("src", rows_batch(&[1, 2, 3, 4])) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - let view = conn - .create_materialized_view("mv", "src") - .select([("id", "id"), ("score", "score")]) - .only_if("id > 1") - .execute() - .await - .unwrap(); - // Seed the watermark so the racing refreshes are both incremental. - view.refresh().execute().await.unwrap(); - - // Large enough that a refresh is real work rather than a formality. - let ids: Vec = (100..200_100).collect(); - conn.open_table("src") - .execute() - .await - .unwrap() - .add(rows_batch(&ids)) - .execute() - .await - .unwrap(); - - let tags = ["a", "b"]; - let exe = std::env::current_exe().unwrap(); - let children: Vec = tags - .iter() - .map(|tag| { - std::process::Command::new(&exe) - .args([ - "--exact", - "materialized_view::differential::cross_process_refresh_child", - "--ignored", - "--nocapture", - ]) - .env("MV_RACE_DIR", dir.path()) - .env("MV_RACE_SYNC", dir.path()) - .env("MV_RACE_PEERS", "2") - .env("MV_RACE_TAG", tag) - .stdout(std::process::Stdio::null()) - .stderr(std::process::Stdio::null()) - .spawn() - .unwrap() - }) - .collect(); - - let deadline = std::time::Instant::now() + std::time::Duration::from_secs(180); - while tags - .iter() - .any(|tag| !dir.path().join(format!("ready-{tag}")).exists()) - { - assert!( - std::time::Instant::now() < deadline, - "children never became ready" - ); - std::thread::sleep(std::time::Duration::from_millis(10)); - } - std::fs::write(dir.path().join("START"), b"1").unwrap(); - for (tag, mut child) in tags.iter().zip(children) { - let status = loop { - match child.try_wait().unwrap() { - Some(status) => break status, - None if std::time::Instant::now() >= deadline => { - child.kill().unwrap(); - panic!("child {tag} never finished"); - } - None => std::thread::sleep(std::time::Duration::from_millis(10)), - } - }; - assert!(status.success(), "child {tag} exited {status}"); - } - - // Both refreshes reached the commit boundary before either committed -- - // the in-refresh barrier guarantees it -- so exactly one may win. - let outcomes: Vec = tags - .iter() - .map(|tag| { - std::fs::read_to_string(dir.path().join(format!("outcome-{tag}"))) - .unwrap_or_else(|_| panic!("child {tag} recorded no outcome")) - }) - .collect(); - for tag in tags { - assert!( - dir.path().join(format!("planned-{tag}")).exists(), - "child {tag} never reached the commit boundary, so nothing was synchronized" - ); - } - let committed = outcomes.iter().filter(|o| o.contains("committed")).count(); - let conflicted = outcomes.iter().filter(|o| o.contains("conflicted")).count(); - assert_eq!( - (committed, conflicted), - (1, 1), - "exactly one refresh may win the generation both planned: {outcomes:?}" - ); - - let expected = concurrency_oracle(&conn).await; - let actual = concurrency_view_ids(&conn).await; - assert_eq!( - actual.len(), - expected.len(), - "the view holds {} rows, the oracle {}: a losing refresh left rows behind", - actual.len(), - expected.len() - ); - assert_eq!(actual, expected, "the view does not match the oracle"); -} diff --git a/rust/lancedb/src/materialized_view/duplicate_pairs.rs b/rust/lancedb/src/materialized_view/duplicate_pairs.rs deleted file mode 100644 index d0dc219ad..000000000 --- a/rust/lancedb/src/materialized_view/duplicate_pairs.rs +++ /dev/null @@ -1,478 +0,0 @@ -// SPDX-License-Identifier: Apache-2.0 -// SPDX-FileCopyrightText: Copyright The LanceDB Authors - -//! Native pair generation as partitioned materialized-view refresh work. - -use std::sync::Arc; - -use arrow_schema::{Schema, SchemaRef}; -use datafusion_execution::{SendableRecordBatchStream, TaskContext}; -use datafusion_physical_plan::ExecutionPlan; -use datafusion_sql::sqlparser::ast::{ - Expr, FunctionArg, FunctionArgExpr, TableFunctionArgs, Value, -}; -use futures::TryStreamExt; -use lance::Dataset; -use lance::dataset::transaction::Operation; -use lance::dataset::{InsertBuilder, WriteDestination, WriteMode, WriteParams}; -use lance_table::format::Fragment; -use serde::{Deserialize, Serialize}; - -use super::grouped_units::GroupedRefreshPlan; -use super::refresh::{ - RefreshMaterializedViewResult, ensure_incarnation, ensure_no_mem_wal, open_source, -}; -use super::{MaterializedViewDefinition, Planned, ViewProjection}; -use crate::table::Table; -use crate::table::datafusion::udtf::duplicate_pairs::{ - DUPLICATE_PAIRS_OPERATOR_VERSION, DuplicatePairTask, DuplicatePairsConfig, DuplicatePairsExec, - duplicate_pair_schema, plan_duplicate_pairs, -}; -use crate::{Error, Result}; - -pub(super) const FUNCTION_NAME: &str = "vector_duplicate_pairs"; -pub(super) const DEDUP_FUNCTION_NAME: &str = "vector_dedup"; - -/// The result of a pinned native vector source. -#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)] -pub enum VectorSourceKind { - /// The qualifying pair relation. - Pairs, - /// Original source rows retained by greedy direct representatives. - Dedup, -} - -/// A native table-function source, pinned for the lifetime of the view. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct VectorSource { - pub kind: VectorSourceKind, - pub dataset_version: u64, - pub column: String, - /// Validated numeric SQL spelling; execution and task identity use f32 bits. - pub distance_threshold: String, -} - -impl VectorSource { - pub(super) fn function_name(&self) -> &'static str { - match self.kind { - VectorSourceKind::Pairs => FUNCTION_NAME, - VectorSourceKind::Dedup => DEDUP_FUNCTION_NAME, - } - } - pub(crate) fn config(&self) -> Result { - let threshold: f32 = self - .distance_threshold - .parse() - .map_err(|_| invalid("invalid pair threshold"))?; - if self.dataset_version == 0 || self.column.is_empty() || !threshold.is_finite() { - return Err(invalid( - "duplicate pairs require a positive snapshot, a column and a finite threshold", - )); - } - Ok(DuplicatePairsConfig { - dataset_version: self.dataset_version, - column: self.column.clone(), - distance_threshold: threshold, - }) - } -} - -fn invalid(message: impl Into) -> Error { - Error::InvalidInput { - message: message.into(), - } -} - -pub(super) fn source( - args: &TableFunctionArgs, - kind: VectorSourceKind, -) -> Result<(Vec, String, VectorSource)> { - if args.settings.is_some() { - return Err(invalid("duplicate pairs do not accept function settings")); - } - let exprs = args - .args - .iter() - .map(|arg| match arg { - FunctionArg::Unnamed(FunctionArgExpr::Expr(expr)) => Ok(expr), - _ => Err(invalid( - "duplicate pairs require four positional literal arguments", - )), - }) - .collect::>>()?; - let [table, version, column, threshold] = exprs.as_slice() else { - return Err(invalid( - "native vector sources require (table, dataset_version, column, distance_threshold)", - )); - }; - let string = |expr: &Expr| match expr { - Expr::Value(value) => match &value.value { - Value::SingleQuotedString(value) => Ok(value.clone()), - _ => Err(invalid("table and column must be string literals")), - }, - _ => Err(invalid("table and column must be string literals")), - }; - let table = string(table)?; - let plain = MaterializedViewDefinition::from_sql(&format!("SELECT * FROM {table}"))?; - if plain.vector_source.is_some() - || plain.lateral.is_some() - || plain.filter.is_some() - || plain.is_grouped() - || plain.limit.is_some() - { - return Err(invalid("duplicate pairs must name one source table")); - } - let dataset_version = match version { - Expr::Value(value) => match &value.value { - Value::Number(number, _) => number - .parse() - .map_err(|_| invalid("invalid source version"))?, - _ => return Err(invalid("source version must be an integer literal")), - }, - _ => return Err(invalid("source version must be an integer literal")), - }; - let config = VectorSource { - kind, - dataset_version, - column: string(column)?, - distance_threshold: threshold.to_string(), - }; - config.config()?; - Ok((plain.source_namespace, plain.source_table, config)) -} - -pub(super) fn check_shape(definition: &MaterializedViewDefinition) -> Result<()> { - if definition - .vector_source - .as_ref() - .is_some_and(|s| s.kind == VectorSourceKind::Dedup) - { - if !definition.selects_star() - || definition.filter.is_some() - || definition.limit.is_some() - || definition.lateral.is_some() - || definition.is_grouped() - { - return Err(invalid( - "a vector_dedup view must select * without other clauses", - )); - } - return Ok(()); - } - let schema = duplicate_pair_schema(); - let projections = schema - .fields() - .iter() - .map(|field| ViewProjection { - output: field.name().clone(), - expression: field.name().clone(), - }) - .collect::>(); - if (!definition.selects_star() && definition.projections != projections) - || definition.filter.is_some() - || definition.limit.is_some() - || definition.lateral.is_some() - || definition.is_grouped() - { - return Err(invalid( - "a native pair view selects *, or row_id_a, row_id_b, distance, without other clauses", - )); - } - Ok(()) -} - -pub(super) fn plan( - source_schema: SchemaRef, - definition: &MaterializedViewDefinition, -) -> Result { - check_shape(definition)?; - let config = definition.vector_source.as_ref().expect("native source"); - config.config()?; - source_schema.field_with_name(&config.column)?; - if config.kind == VectorSourceKind::Dedup { - return Ok(Planned { - definition: definition.clone(), - fields: source_schema - .fields() - .iter() - .map(|f| super::without_declarations(f)) - .collect(), - lineage: source_schema - .fields() - .iter() - .map(|f| (f.name().clone(), vec![f.name().clone()])) - .collect(), - inputs: source_schema - .fields() - .iter() - .map(|f| f.name().clone()) - .collect(), - }); - } - let schema = duplicate_pair_schema(); - let projections = schema - .fields() - .iter() - .map(|field| ViewProjection { - output: field.name().clone(), - expression: field.name().clone(), - }) - .collect(); - let mut definition = definition.clone(); - let inputs = vec![config.column.clone()]; - definition.projections = projections; - Ok(Planned { - definition, - fields: schema.fields().iter().map(|f| f.as_ref().clone()).collect(), - lineage: Default::default(), - inputs, - }) -} - -/// A saved native refresh plan, including every physical partition identity. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct DuplicatePairsRefreshPlan { - pub snapshot: GroupedRefreshPlan, - pub source_uri: String, - pub definition_sql: String, - pub operator_version: u32, - pub threshold_bits: u32, - pub tasks: Vec, -} - -#[derive(Debug, Clone, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct WrittenPairsPartition { - pub(super) unit: u32, - pub(super) plan_id: String, - pub(super) task: DuplicatePairTask, - pub(super) fragments: Vec, - pub(super) rows: u64, -} - -impl DuplicatePairsRefreshPlan { - pub(super) fn identity(&self) -> Result { - use sha2::{Digest, Sha256}; - let encoded = serde_json::to_vec(&( - &self.snapshot, - &self.source_uri, - &self.definition_sql, - self.operator_version, - self.threshold_bits, - )) - .map_err(|e| invalid(e.to_string()))?; - Ok(format!("{:x}", Sha256::digest(encoded))) - } -} - -async fn open(view: &Table) -> Result<(Dataset, MaterializedViewDefinition, Arc)> { - let native = view - .as_native() - .ok_or_else(|| invalid("native pair refresh requires a local view"))?; - native.dataset.ensure_mutable()?; - native.dataset.reload().await?; - let view_ds = native.dataset.get().await?.as_ref().clone(); - let Some(super::StoredDefinition::Query(definition)) = - super::read_definition(&view_ds.schema().metadata)? - else { - return Err(invalid("view does not carry a supported definition")); - }; - let config = definition - .vector_source - .as_ref() - .ok_or_else(|| invalid("not a native pair view"))? - .config()?; - let source = Arc::new( - open_source(view, &definition, None) - .await? - .checkout_version(config.dataset_version) - .await?, - ); - ensure_no_mem_wal(&source, "source table", &definition.source_table).await?; - let planned = plan(Arc::new(Schema::from(source.schema())), &definition)?; - let expected = Schema::new(planned.fields); - let physical = Schema::from(view_ds.schema()); - if physical.fields().len() != expected.fields().len() - || physical - .fields() - .iter() - .zip(expected.fields()) - .any(|(a, b)| { - a.name() != b.name() - || a.data_type() != b.data_type() - || a.is_nullable() != b.is_nullable() - }) - { - return Err(invalid("native pair view schema changed since creation")); - } - Ok((view_ds, planned.definition, source)) -} - -pub(super) async fn plan_refresh( - view: &Table, - pinned: Option, -) -> Result { - let (view_ds, definition, source) = open(view).await?; - let config = definition - .vector_source - .as_ref() - .expect("native") - .config()?; - if pinned.is_some_and(|v| v != config.dataset_version) { - return Err(invalid( - "refresh source version differs from the native pair view's fixed snapshot", - )); - } - let tasks = plan_duplicate_pairs(source.clone(), &config).await?; - let units = u32::try_from(tasks.len()).map_err(|_| invalid("too many index partitions"))?; - let incarnation = view_ds - .schema() - .metadata - .get(super::INCARNATION_META_KEY) - .cloned() - .ok_or_else(|| invalid("native pair view has no incarnation"))?; - Ok(DuplicatePairsRefreshPlan { - snapshot: GroupedRefreshPlan { - units, - source_version: config.dataset_version, - view_version: view_ds.version().version, - incarnation, - }, - source_uri: source.uri().to_string(), - definition_sql: definition.to_sql(), - operator_version: DUPLICATE_PAIRS_OPERATOR_VERSION, - threshold_bits: config.distance_threshold.to_bits(), - tasks, - }) -} - -pub(super) async fn open_planned( - view: &Table, - plan: &DuplicatePairsRefreshPlan, -) -> Result<(Dataset, MaterializedViewDefinition, Arc)> { - let (view_ds, definition, source) = open(view).await?; - ensure_incarnation(&view_ds, Some(&plan.snapshot.incarnation), view.name()).await?; - let config = definition - .vector_source - .as_ref() - .expect("native") - .config()?; - if source.uri() != plan.source_uri - || source.version().version != plan.snapshot.source_version - || definition.to_sql() != plan.definition_sql - || config.distance_threshold.to_bits() != plan.threshold_bits - || plan.operator_version != DUPLICATE_PAIRS_OPERATOR_VERSION - || plan.tasks.len() != plan.snapshot.units as usize - { - return Err(invalid( - "native pair task belongs to a different snapshot, configuration or operator", - )); - } - Ok((view_ds, definition, source)) -} - -pub(super) async fn write_unit( - view: &Table, - unit: u32, - plan: &DuplicatePairsRefreshPlan, -) -> Result { - let (view_ds, definition, source) = open_planned(view, plan).await?; - let task = plan - .tasks - .get(unit as usize) - .ok_or_else(|| invalid("pair partition is outside the plan"))? - .clone(); - let config = definition - .vector_source - .as_ref() - .expect("native") - .config()?; - let exec = DuplicatePairsExec::try_new(source, config, vec![task.clone()])?; - let stream = exec.execute(0, Arc::new(TaskContext::default()))?; - let rows = Arc::new(std::sync::atomic::AtomicU64::new(0)); - let count = rows.clone(); - let stream = stream.inspect_ok(move |batch| { - count.fetch_add( - batch.num_rows() as u64, - std::sync::atomic::Ordering::Relaxed, - ); - }); - let stream: SendableRecordBatchStream = Box::pin( - datafusion_physical_plan::stream::RecordBatchStreamAdapter::new( - duplicate_pair_schema(), - stream, - ), - ); - let txn = InsertBuilder::new(WriteDestination::Dataset(Arc::new(view_ds))) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await?; - let Operation::Append { fragments } = txn.operation else { - return Err(invalid( - "native pair partition did not stage append fragments", - )); - }; - Ok(WrittenPairsPartition { - unit, - plan_id: plan.identity()?, - task, - fragments, - rows: rows.load(std::sync::atomic::Ordering::Relaxed), - }) -} - -pub(super) async fn commit( - view: &Table, - plan: &DuplicatePairsRefreshPlan, - units: Vec, - expected: Option<&str>, -) -> Result { - let (_, definition, source) = open_planned(view, plan).await?; - let config = definition - .vector_source - .as_ref() - .expect("native") - .config()?; - if plan_duplicate_pairs(source.clone(), &config).await? != plan.tasks { - return Err(invalid( - "pair plan does not cover the pinned index partitions exactly", - )); - } - let identity = plan.identity()?; - let mut ordered = vec![None; plan.snapshot.units as usize]; - for written in units { - if written.plan_id != identity - || plan.tasks.get(written.unit as usize) != Some(&written.task) - { - return Err(invalid("pair partition receipt belongs to another plan")); - } - let slot = ordered - .get_mut(written.unit as usize) - .ok_or_else(|| invalid("unknown pair partition receipt"))?; - if slot.is_some() { - return Err(invalid("duplicate pair partition receipt")); - } - *slot = Some(written); - } - let units = ordered - .into_iter() - .collect::>>() - .ok_or_else(|| invalid("missing pair partition receipt"))?; - let rows = units.iter().map(|u| u.rows).sum(); - let fragments = units.into_iter().flat_map(|u| u.fragments).collect(); - super::grouped_units::commit_fragments( - view, - &plan.snapshot, - &definition, - source.manifest.timestamp_nanos, - fragments, - rows, - expected, - ) - .await -} diff --git a/rust/lancedb/src/materialized_view/grouped.rs b/rust/lancedb/src/materialized_view/grouped.rs index 095f20f11..3120e2b43 100644 --- a/rust/lancedb/src/materialized_view/grouped.rs +++ b/rust/lancedb/src/materialized_view/grouped.rs @@ -12,7 +12,7 @@ use std::sync::atomic::{AtomicU64, Ordering}; use arrow_array::cast::AsArray; use arrow_array::{Array, FixedSizeListArray, UInt32Array}; use arrow_buffer::NullBuffer; -use arrow_schema::{DataType, Field as ArrowField, Schema as ArrowSchema, SchemaRef}; +use arrow_schema::{DataType, Schema as ArrowSchema, SchemaRef}; use datafusion::catalog::default_table_source::provider_as_source; use datafusion::datasource::empty::EmptyTable; use datafusion::execution::FunctionRegistry; @@ -36,20 +36,16 @@ use datafusion_sql::sqlparser::parser::Parser; use futures::StreamExt; use lance::Dataset; use lance::index::{DatasetIndexExt, DatasetIndexInternalExt}; -use lance_core::ROW_ID; use lance_datafusion::exec::SessionContextExt; use lance_index::metrics::NoOpMetricsCollector; -use lance_index::vector::VectorIndex; use lance_index::vector::ivf::{IvfTransformer, new_ivf_transformer}; use lance_linalg::distance::DistanceType; use lance_linalg::kernels::normalize_fsl; -use roaring::RoaringBitmap; use uuid::Uuid; use super::refresh::to_view_batch; use super::{ - MaterializedViewDefinition, Planned, SOURCE_ROW_ID_COLUMN, ViewProjection, ensure_immutable, - plan_filter, query, without_declarations, + MaterializedViewDefinition, Planned, ViewProjection, plan_filter, query, without_declarations, }; use crate::{Error, Result}; @@ -68,50 +64,6 @@ pub(super) struct IvfBinding { pub(super) transformer: Arc, /// A cosine index assigns L2 over unit vectors, as lance's index path does. pub(super) normalize: bool, - /// Partitions of the model; the ids `ivf_partition` returns are below it. - pub(super) partitions: u32, -} - -/// The segments of the one IVF index on a column, opened, and the fragments -/// they cover between them; every other fragment's rows are unindexed. -/// `covered` is `None` when a segment does not say which fragments it holds -/// (`fragment_bitmap: None`, which lance defines as unknown rather than -/// empty): its rows would be read once by the partition reader and again as -/// unindexed, so no caller may split this index. -pub(super) struct IvfSegments { - pub(super) segments: Vec, - pub(super) covered: Option, -} - -/// One opened segment and the fragments it holds rows for. Its postings -/// still name rows of fragments it has since lost -- a column rewrite -/// attaches a new file and takes the fragment out of this bitmap -- so a -/// reader of its partitions keeps only the rows it still owns. -pub(super) struct IvfSegment { - pub(super) index: Arc, - pub(super) fragments: Option, -} - -impl IvfSegments { - pub(super) fn is_unindexed(&self, fragment_id: u64) -> Option { - Some(!self.covered.as_ref()?.contains(fragment_id as u32)) - } -} - -/// Coverage after folding in one more segment. Lance defines a segment -/// without a fragment bitmap as unknown coverage, not empty, and one such -/// segment is enough to lose the coverage of the whole index. -fn coverage( - covered: Option, - bitmap: Option<&RoaringBitmap>, -) -> Option { - match (covered, bitmap) { - (Some(mut covered), Some(bitmap)) => { - covered |= bitmap; - Some(covered) - } - _ => None, - } } /// `bindings` maps a source column to its index; planning runs unbound. @@ -278,16 +230,6 @@ pub(super) async fn bind( } async fn bind_column(source: &Dataset, column: &str) -> Result { - bind_column_with_segments(source, column) - .await - .map(|(binding, _)| binding) -} - -/// The binding plus the opened segments it was read from. -pub(super) async fn bind_column_with_segments( - source: &Dataset, - column: &str, -) -> Result<(IvfBinding, IvfSegments)> { let field = source .schema() .field(column) @@ -298,8 +240,6 @@ pub(super) async fn bind_column_with_segments( // on its own fragments carries its own centroids, and grouping every row // by one segment's model would bucket the other segments' rows wrongly. let mut found: Option<(String, Uuid, DistanceType, FixedSizeListArray)> = None; - let mut segments = Vec::new(); - let mut covered = Some(RoaringBitmap::new()); for index in source.load_indices().await?.iter() { if index.fields != [field.id] { continue; @@ -314,12 +254,6 @@ pub(super) async fn bind_column_with_segments( continue; }; let metric = vector.metric_type(); - covered = coverage(covered, index.fragment_bitmap.as_ref()); - let fragments = index.fragment_bitmap.clone(); - segments.push(IvfSegment { - index: vector.clone(), - fragments, - }); match &found { None => found = Some((index.name.clone(), index.uuid, metric, centroids)), Some((name, _, seen_metric, seen)) if *name == index.name => { @@ -369,32 +303,20 @@ pub(super) async fn bind_column_with_segments( // Lance's index path assigns cosine by L2 over unit vectors. let normalize = metric == DistanceType::Cosine; let distance = if normalize { DistanceType::L2 } else { metric }; - let partitions = u32::try_from(centroids.len()).map_err(|_| Error::InvalidInput { - message: format!("{IVF_PARTITION}({column}): too many partitions"), - })?; - Ok(( - IvfBinding { - index: uuid, - transformer: Arc::new(new_ivf_transformer(centroids, distance, vec![])), - normalize, - partitions, - }, - IvfSegments { segments, covered }, - )) + Ok(IvfBinding { + index: uuid, + transformer: Arc::new(new_ivf_transformer(centroids, distance, vec![])), + normalize, + }) } pub(super) fn empty_source(source_schema: &SchemaRef) -> Arc { - let mut fields = source_schema.fields().to_vec(); - fields.push(Arc::new(ArrowField::new(ROW_ID, DataType::UInt64, false))); - provider_as_source(Arc::new(EmptyTable::new(Arc::new(ArrowSchema::new( - fields, - ))))) + provider_as_source(Arc::new(EmptyTable::new(source_schema.clone()))) } -/// The query DataFusion runs: the view's projections plus the group's -/// smallest source row id, which stands as the row's provenance. `filtered` -/// puts the view's predicate in the query, for a caller whose rows did not -/// come from a lance scan that already applied it. +/// The query DataFusion runs. `filtered` puts the view's predicate in the +/// query for a caller whose rows did not come from a Lance scan that already +/// applied it. fn sql(definition: &MaterializedViewDefinition, filtered: bool) -> String { let items: Vec = definition .projections @@ -406,7 +328,7 @@ fn sql(definition: &MaterializedViewDefinition, filtered: bool) -> String { _ => String::new(), }; format!( - "SELECT {}, min({ROW_ID}) AS {ROW_ID} FROM {SOURCE}{predicate} GROUP BY {}", + "SELECT {} FROM {SOURCE}{predicate} GROUP BY {}", items.join(", "), definition.group_by.join(", ") ) @@ -499,11 +421,6 @@ pub(super) fn plan( }; let mut projections: Vec = Vec::with_capacity(definition.projections.len()); for p in &definition.projections { - if p.output == SOURCE_ROW_ID_COLUMN || p.output == ROW_ID { - return Err(Error::InvalidInput { - message: format!("view column name '{}' is reserved", p.output), - }); - } if projections.iter().any(|seen| seen.output == p.output) { return Err(Error::ColumnAlreadyExists { name: p.output.clone(), @@ -549,14 +466,11 @@ pub(super) fn plan( message: format!("invalid grouped view: {e}"), })?; for expr in &exprs { - ensure_immutable(expr, |message| Error::InvalidInput { - message: format!("invalid grouped view: {message}"), - })?; inputs.extend( expr.column_refs() .into_iter() .map(|c| c.name.clone()) - .filter(|name| name != ROW_ID && source_schema.field_with_name(name).is_ok()), + .filter(|name| source_schema.field_with_name(name).is_ok()), ); } inputs.sort(); @@ -566,7 +480,6 @@ pub(super) fn plan( .schema() .fields() .iter() - .filter(|f| f.name() != ROW_ID) .map(|f| without_declarations(f)) .collect(); Ok(Planned { @@ -586,7 +499,6 @@ pub(super) async fn stream( rows_written: Arc, ) -> Result { let mut scanner = source.scan(); - scanner.with_row_id(); if let Some(filter) = &definition.filter { scanner.filter(filter)?; } @@ -611,24 +523,3 @@ pub(super) async fn stream( }); Ok(Box::pin(RecordBatchStreamAdapter::new(schema, mapped))) } - -#[cfg(test)] -mod tests { - use super::*; - - /// A segment that does not name the fragments it holds leaves the whole - /// index's coverage unknown: reading "everything it does not cover" would - /// read its rows a second time. - #[test] - fn one_segment_without_a_bitmap_loses_the_coverage() { - let first = RoaringBitmap::from_iter([0u32, 1]); - let second = RoaringBitmap::from_iter([2u32]); - let both = coverage( - coverage(Some(RoaringBitmap::new()), Some(&first)), - Some(&second), - ); - assert_eq!(both, Some(RoaringBitmap::from_iter([0u32, 1, 2]))); - assert_eq!(coverage(both, None), None); - assert_eq!(coverage(None, Some(&first)), None); - } -} diff --git a/rust/lancedb/src/materialized_view/grouped_units.rs b/rust/lancedb/src/materialized_view/grouped_units.rs deleted file mode 100644 index 7f408be4d..000000000 --- a/rust/lancedb/src/materialized_view/grouped_units.rs +++ /dev/null @@ -1,1368 +0,0 @@ -// SPDX-License-Identifier: Apache-2.0 -// SPDX-FileCopyrightText: Copyright The LanceDB Authors - -//! A grouped view keyed by one `ivf_partition(col)` refreshed in units, one -//! per index partition: the index already holds each partition's row ids, so -//! a unit reads only its rows, computes only its groups and writes its own -//! fragments, and a single commit replaces the view. Nothing is shuffled and -//! no worker holds more than one partition's groups. - -use std::collections::HashMap; -use std::sync::Arc; -use std::sync::atomic::{AtomicU64, Ordering}; - -use arrow_array::Array; -use arrow_array::RecordBatch; -use arrow_array::cast::AsArray; -use arrow_array::types::UInt64Type; -use arrow_schema::{Schema as ArrowSchema, SchemaRef}; -use datafusion::catalog::default_table_source::provider_as_source; -use datafusion::physical_plan::SendableRecordBatchStream; -use datafusion::physical_plan::stream::RecordBatchStreamAdapter; -use datafusion::prelude::SessionContext; -use futures::{StreamExt, TryStreamExt}; -use lance::Dataset; -use lance::dataset::transaction::{Operation, Transaction}; -use lance::dataset::{ - CommitBuilder, InsertBuilder, ProjectionRequest, WriteDestination, WriteMode, WriteParams, -}; -use lance_core::ROW_ID; -use lance_core::utils::address::RowAddress; -use lance_datafusion::exec::SessionContextExt; -use lance_index::metrics::NoOpMetricsCollector; -use lance_table::format::Fragment; -use serde::{Deserialize, Serialize}; - -use super::grouped::{self, IVF_PARTITION}; -use super::refresh::{ - RefreshMaterializedViewResult, RefreshMode, ensure_incarnation, ensure_no_mem_wal, open_source, - refresh_lock, stamp_watermark, to_view_batch, -}; -use super::{MaterializedViewDefinition, StoredDefinition}; -use crate::table::Table; -use crate::{Error, Result}; - -/// Row ids per `take`: bounds one unit's memory while it reads a partition. -const TAKE_CHUNK: usize = 8192; - -/// Rows per partition, and in total, the plan reads to see whether the index -/// assigns by its own centroids. A sample: [`write_grouped_unit`] proves the -/// rows it takes, and this only keeps a doomed refresh off the fleet. -const PROBE_PER_UNIT: usize = 8; -const PROBE_ROWS: usize = 256; - -/// How a grouped view can be refreshed in units. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct GroupedRefreshPlan { - /// Units `0..units`: unit `p` before the last holds index partition - /// `p`'s groups; the last holds the rows the index cannot place (null or - /// unplaceable vectors), grouped under a NULL key. One per index - /// partition, plus that one. - pub units: u32, - /// The source version every unit reads and the commit records. - pub source_version: u64, - /// The view version the plan was made against; the commit lands on it - /// or not at all. - pub view_version: u64, - /// The view this plan belongs to: its incarnation, which a drop and - /// recreate replaces. Two views of the same shape reach the same - /// counters, so without it a result written for one could be published - /// into the other. - pub incarnation: String, -} - -/// The column a grouped view's single `ivf_partition(column)` key names, if -/// that is its whole `GROUP BY`. -fn ivf_key_column(definition: &MaterializedViewDefinition) -> Option { - let [key] = definition.group_by.as_slice() else { - return None; - }; - let inner = key - .strip_prefix(&format!("{IVF_PARTITION}("))? - .strip_suffix(')')?; - let column = inner.trim().trim_matches('`'); - (!column.is_empty() && !column.contains(',')).then(|| column.to_string()) -} - -/// What a grouped refresh of `view` reads: its definition, source and binding. -struct Grouped { - view_ds: Dataset, - definition: MaterializedViewDefinition, - source: Dataset, - column: String, - inputs: Vec, - binding: grouped::IvfBinding, - segments: grouped::IvfSegments, -} - -async fn open_grouped(view: &Table, pinned: Option) -> Result> { - let view_native = view.as_native().ok_or_else(|| Error::NotSupported { - message: "materialized views are supported only on local tables".into(), - })?; - view_native.dataset.reload().await?; - let view_ds = view_native.dataset.get().await?.as_ref().clone(); - let Some(StoredDefinition::Query(definition)) = - super::read_definition(&view_ds.schema().metadata)? - else { - return Ok(None); - }; - let Some(column) = ivf_key_column(&definition) else { - return Ok(None); - }; - let staging = super::read_staging(&view_ds.schema().metadata)?; - let source = open_source(view, &definition, staging.as_ref()).await?; - let source = match pinned { - Some(version) => source.checkout_version(version).await?, - None => source, - }; - ensure_no_mem_wal(&source, "source table", &definition.source_table).await?; - let source_schema = Arc::new(ArrowSchema::from(source.schema())); - let planned = super::plan(source_schema, &definition, staging.as_ref())?; - let (binding, segments) = grouped::bind_column_with_segments(&source, &column).await?; - Ok(Some(Grouped { - view_ds, - definition: planned.definition, - source, - column, - inputs: planned.inputs, - binding, - segments, - })) -} - -/// The units `view` can be refreshed in against `source_version` (the -/// latest when `None`), or `None` when it is not a grouped view keyed by one -/// `ivf_partition(column)`. -pub async fn plan_grouped_refresh( - view: &Table, - source_version: Option, -) -> Result> { - let Some(grouped) = open_grouped(view, source_version).await? else { - return Ok(None); - }; - // The split reads indexed rows through the index and the rest by - // scanning what it does not cover, so an index that does not say what it - // covers cannot be split at all. The caller refreshes single-pass. - if grouped.segments.covered.is_none() { - return Ok(None); - } - // Without one there is nothing to bind a unit's result to, so the view - // is refreshed in one pass, where the rows never leave the process. - let Some(incarnation) = grouped - .view_ds - .schema() - .metadata - .get(super::INCARNATION_META_KEY) - .cloned() - else { - return Ok(None); - }; - // The split is the index's posting lists and the key is recomputed, so a - // view whose index assigns by something else has no units at all. - if !assigns_by_its_centroids(&grouped).await? { - return Ok(None); - } - Ok(Some(GroupedRefreshPlan { - units: grouped.binding.partitions + 1, - source_version: grouped.source.version().version, - view_version: grouped.view_ds.version().version, - incarnation, - })) -} - -/// Fragments one unit wrote, uncommitted, for [`commit_grouped_refresh`]. -/// Only [`write_grouped_unit`] makes one: it names the unit and the plan, -/// and the commit publishes a set of them as the view's whole contents, so -/// a result belonging to another plan, another view, or to a unit already -/// accounted for has to be refusable. Travels to whoever commits, so it -/// serializes, but its fields are not a caller's to write. -#[derive(Debug, Clone, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct WrittenUnit { - unit: u32, - plan: GroupedRefreshPlan, - fragments: Vec, - rows: u64, -} - -impl WrittenUnit { - /// The unit of the plan this result holds. - pub fn unit(&self) -> u32 { - self.unit - } - - /// The plan it was computed for. - pub fn plan(&self) -> &GroupedRefreshPlan { - &self.plan - } - - /// View rows this unit wrote, its groups. - pub fn rows(&self) -> u64 { - self.rows - } - - /// The fragments it staged, uncommitted until the whole set is published. - pub fn fragments(&self) -> &[Fragment] { - &self.fragments - } -} - -/// The grouped view `plan` was made for, opened at the source version it -/// pins. Every holder of a plan asks the same two questions: is this a -/// grouped view, and is it the view the plan names. -/// -/// The pinned version is also what holds every unit to one index: indices -/// are part of the source manifest, so a rebuild lands in a later version -/// that a unit reading this one never sees, and units written on either -/// side of it still group by the same centroids. -async fn open_planned(view: &Table, plan: &GroupedRefreshPlan) -> Result { - let grouped = open_grouped(view, Some(plan.source_version)) - .await? - .ok_or_else(|| Error::InvalidInput { - message: format!( - "'{}' is not a grouped view keyed by {IVF_PARTITION}", - view.name() - ), - })?; - ensure_incarnation(&grouped.view_ds, Some(&plan.incarnation), view.name()).await?; - Ok(grouped) -} - -/// Compute unit `unit` of `plan` against source version `source_version` -/// and write its groups as uncommitted fragments of the view. -pub async fn write_grouped_unit( - view: &Table, - unit: u32, - plan: &GroupedRefreshPlan, -) -> Result { - let grouped = open_planned(view, plan).await?; - if unit >= plan.units { - return Err(Error::InvalidInput { - message: format!( - "unit {unit} is not in the plan of '{}' ({} units)", - view.name(), - plan.units - ), - }); - } - let schema: SchemaRef = Arc::new(ArrowSchema::from(grouped.view_ds.schema())); - let rows_written = Arc::new(AtomicU64::new(0)); - let rows = unit_rows(&grouped, unit).await?; - let stream = group_rows(&grouped, rows, schema.clone(), rows_written.clone()).await?; - let write_txn = InsertBuilder::new(WriteDestination::Dataset(Arc::new(grouped.view_ds))) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await?; - let Operation::Append { fragments } = write_txn.operation else { - return Err(Error::Runtime { - message: "expected an append when writing a grouped unit".into(), - }); - }; - Ok(WrittenUnit { - unit, - plan: plan.clone(), - fragments, - rows: rows_written.load(Ordering::Relaxed), - }) -} - -/// The row ids the index places in partition `unit`, at most `limit` of them. -/// A segment's postings outlive its ownership -- a column rewrite attaches a -/// new file and takes the fragment out of its bitmap while leaving the rows -/// listed -- so each segment's rows are kept only while it still holds their -/// fragment. The fragment [`unit_rows`] scans them from instead is the one -/// the rewrite left them in. -async fn indexed_row_ids(grouped: &Grouped, unit: u32, limit: usize) -> Result> { - let addresses = lance::dataset::rowids::get_row_id_index(&grouped.source).await?; - let fragment_of = |row_id: u64| -> Result> { - Ok(match &addresses { - Some(index) => index.get(row_id)?.map(|address| address.fragment_id()), - None => Some(RowAddress::new_from_u64(row_id).fragment_id()), - }) - }; - let mut row_ids = Vec::new(); - for segment in &grouped.segments.segments { - let owned = segment.fragments.as_ref().ok_or_else(|| Error::Runtime { - message: "the index stopped naming the fragments it covers mid-refresh".into(), - })?; - let mut stream = segment - .index - .partition_reader(unit as usize, false, &NoOpMetricsCollector) - .await?; - while let Some(batch) = stream.try_next().await? { - for row_id in batch[ROW_ID].as_primitive::().values() { - if row_ids.len() >= limit { - return Ok(row_ids); - } - if fragment_of(*row_id)?.is_some_and(|fragment| owned.contains(fragment)) { - row_ids.push(*row_id); - } - } - } - } - Ok(row_ids) -} - -/// The first row of `batch` that `unit` holds but `ivf_partition` does not -/// put there, if there is one. `batch` carries the key column. -fn assigned_elsewhere(grouped: &Grouped, batch: &RecordBatch, unit: u32) -> Result> { - let vectors = batch[grouped.column.as_str()].as_fixed_size_list(); - let assigned = grouped.binding.assign(vectors)?; - Ok((0..batch.num_rows()).find(|&row| !(assigned.is_valid(row) && assigned.value(row) == unit))) -} - -/// Whether the index's posting lists are `ivf_partition`'s buckets, over a -/// sample of each partition. Lance also builds an index from precomputed -/// assignments, and records nowhere that it did, so the only way to ask is -/// to recompute some of them. -async fn assigns_by_its_centroids(grouped: &Grouped) -> Result { - let mut expected = HashMap::new(); - for unit in 0..grouped.binding.partitions { - if expected.len() >= PROBE_ROWS { - break; - } - for row_id in indexed_row_ids(grouped, unit, PROBE_PER_UNIT).await? { - expected.insert(row_id, unit); - } - } - if expected.is_empty() { - return Ok(true); - } - let sample: Vec = expected.keys().copied().collect(); - let columns = [ROW_ID, grouped.column.as_str()]; - let projection = ProjectionRequest::from_columns(columns, grouped.source.schema()); - let batch = grouped.source.take_rows(&sample, projection).await?; - let row_ids = batch[ROW_ID].as_primitive::().clone(); - let assigned = grouped - .binding - .assign(batch[grouped.column.as_str()].as_fixed_size_list())?; - Ok((0..batch.num_rows()).all(|row| { - assigned.is_valid(row) && Some(&assigned.value(row)) == expected.get(&row_ids.value(row)) - })) -} - -/// The source rows of one unit: the index's rows for partition `unit` plus -/// the unindexed rows that assign to it, or for the last unit every row the -/// assigner cannot place. Each batch carries the inputs and `_rowid`. -async fn unit_rows(grouped: &Grouped, unit: u32) -> Result> { - let mut columns: Vec<&str> = vec![ROW_ID]; - columns.extend(grouped.inputs.iter().map(String::as_str)); - if !grouped.inputs.contains(&grouped.column) { - columns.push(&grouped.column); - } - let source = Arc::new(grouped.source.clone()); - let mut batches = Vec::new(); - let unassigned = unit == grouped.binding.partitions; - - if !unassigned { - // Rows the index placed in this partition; a deleted row is dropped - // by the take. - let row_ids = indexed_row_ids(grouped, unit, usize::MAX).await?; - let projection = ProjectionRequest::from_columns(&columns, source.schema()); - for chunk in row_ids.chunks(TAKE_CHUNK) { - let batch = source.take_rows(chunk, projection.clone()).await?; - if batch.num_rows() > 0 { - // What the plan sampled, this unit proves: a row grouped - // here that belongs to another key would be aggregated in - // both units and published as two rows of one group. - if let Some(row) = assigned_elsewhere(grouped, &batch, unit)? { - let row_id = batch[ROW_ID].as_primitive::().value(row); - return Err(Error::NotSupported { - message: format!( - "{IVF_PARTITION}({}): the index lists row {row_id} under \ - partition {unit}, which it does not assign to; this view \ - is refreshed in one pass", - grouped.column - ), - }); - } - batches.push(in_column_order(&batch, &columns)?); - } - } - } - - // Rows the index has not seen assign here; the last unit also takes the - // rows no assignment places, from every fragment. - let mut fragments = Vec::new(); - for fragment in source.get_fragments() { - let unindexed = grouped - .segments - .is_unindexed(fragment.id() as u64) - .ok_or_else(|| Error::Runtime { - message: "the index stopped naming the fragments it covers mid-refresh".into(), - })?; - if unassigned || unindexed { - fragments.push(fragment.metadata().clone()); - } - } - if !fragments.is_empty() { - let mut scanner = source.scan(); - scanner.with_fragments(fragments); - scanner.with_row_id(); - scanner.project(&columns)?; - let mut stream = scanner.try_into_stream().await?; - while let Some(batch) = stream.try_next().await? { - let vectors = batch[grouped.column.as_str()].as_fixed_size_list(); - let assigned = grouped.binding.assign(vectors)?; - let keep: arrow_array::BooleanArray = (0..batch.num_rows()) - .map(|row| { - Some(if unassigned { - assigned.is_null(row) - } else { - assigned.is_valid(row) && assigned.value(row) == unit - }) - }) - .collect(); - let kept = arrow_select::filter::filter_record_batch(&batch, &keep)?; - if kept.num_rows() > 0 { - batches.push(in_column_order(&kept, &columns)?); - } - } - } - Ok(batches) -} - -/// `batch` with its columns in `columns` order: the take and the scan place -/// `_rowid` differently, and the query stream coalesces by position. -fn in_column_order(batch: &RecordBatch, columns: &[&str]) -> Result { - let indices = columns - .iter() - .map(|column| batch.schema().index_of(column)) - .collect::, _>>()?; - Ok(batch.project(&indices)?) -} - -/// The grouped query over `rows`, in the view's schema. -async fn group_rows( - grouped: &Grouped, - rows: Vec, - schema: SchemaRef, - rows_written: Arc, -) -> Result { - let input_schema = match rows.first() { - Some(batch) => batch.schema(), - None => { - return Ok(Box::pin(RecordBatchStreamAdapter::new( - schema, - futures::stream::empty(), - ))); - } - }; - let rows: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new( - input_schema, - futures::stream::iter(rows.into_iter().map(Ok)), - )); - let state = grouped::session(grouped::bind(&grouped.source, &grouped.definition).await?); - let ctx = SessionContext::new_with_state(state.clone()); - let source = ctx.read_one_shot(rows)?.into_view(); - let planned = grouped::logical_plan( - &state, - provider_as_source(source), - &grouped.definition, - // Neither the indexed take nor the fragment scan filters: the rows - // reach this query raw, so the predicate belongs in it. - true, - )?; - let groups = ctx - .execute_logical_plan(planned) - .await? - .execute_stream() - .await?; - let out_schema = schema.clone(); - let mapped = groups.map(move |batch| { - let batch = to_view_batch(&batch?, &out_schema)?; - rows_written.fetch_add(batch.num_rows() as u64, Ordering::Relaxed); - Ok(batch) - }); - Ok(Box::pin(RecordBatchStreamAdapter::new(schema, mapped))) -} - -/// Replace the view's rows with the fragments every unit wrote, in one -/// commit, and record `plan.source_version` as what the view reflects. -/// -/// The commit is refused if the view moved since the plan: a refresh that -/// landed meanwhile replaced rows the units never saw. Concurrent refreshes -/// of one view are serialized by the caller, as for a single-pass rebuild; -/// this check catches the ones that slipped through. -pub async fn commit_grouped_refresh( - view: &Table, - plan: &GroupedRefreshPlan, - units: Vec, - expected_incarnation: Option<&str>, -) -> Result { - let grouped = open_planned(view, plan).await?; - let units = complete_set(view.name(), plan, units)?; - let rows_written = units.iter().map(|unit| unit.rows).sum(); - let new_fragments = units.into_iter().flat_map(|unit| unit.fragments).collect(); - commit_fragments( - view, - plan, - &grouped.definition, - grouped.source.manifest.timestamp_nanos, - new_fragments, - rows_written, - expected_incarnation, - ) - .await -} - -/// The common all-or-nothing unit sink, shared by grouped and native views. -#[allow(clippy::too_many_arguments)] -pub(super) async fn commit_fragments( - view: &Table, - plan: &GroupedRefreshPlan, - definition: &MaterializedViewDefinition, - source_ts: u128, - new_fragments: Vec, - rows_written: u64, - expected_incarnation: Option<&str>, -) -> Result { - let view_native = view.as_native().ok_or_else(|| Error::NotSupported { - message: "materialized views are supported only on local tables".into(), - })?; - view_native.dataset.ensure_mutable()?; - let lock = refresh_lock(view_native.dataset.get().await?.uri()); - let _guard = lock.lock().await; - if let Some(expected) = expected_incarnation - && expected != plan.incarnation - { - return Err(Error::Runtime { - message: format!( - "the refresh of '{}' was requested for another incarnation than the one \ - its units were planned against", - view.name() - ), - }); - } - view_native.dataset.reload().await?; - let ds = view_native.dataset.get().await?.as_ref().clone(); - ensure_incarnation(&ds, Some(&plan.incarnation), view.name()).await?; - if super::read_definition(&ds.schema().metadata)? - != Some(super::StoredDefinition::Query(definition.clone())) - { - return Err(Error::InvalidInput { - message: "view definition changed while its units were written".into(), - }); - } - let ds = Arc::new(ds); - if ds.version().version != plan.view_version { - return Err(Error::Runtime { - message: format!( - "'{}' moved from version {} to {} while its units were written; the \ - refresh is unrecorded and must be replanned", - view.name(), - plan.view_version, - ds.version().version - ), - }); - } - let removed_fragment_ids: Vec = ds.get_fragments().iter().map(|f| f.id() as u64).collect(); - // Fragment ids are assigned at commit; the units' fragments all carry 0. - let transaction = Transaction::new( - plan.view_version, - Operation::Update { - removed_fragment_ids, - updated_fragments: Vec::new(), - new_fragments, - fields_modified: Vec::new(), - compacted_sstables: Vec::new(), - fields_for_preserving_frag_bitmap: Vec::new(), - update_mode: None, - inserted_rows_filter: None, - updated_fragment_offsets: None, - }, - None, - ); - #[cfg(test)] - super::refresh::tests::hold_before_publish(ds.uri()).await; - let committed = CommitBuilder::new(WriteDestination::Dataset(ds)) - .execute(transaction) - .await?; - // The version check above is not the fence: lance rebases this `Update` - // over a concurrent append rather than refusing it, which would leave - // the appended rows in a view certified as the units' whole output. - if committed.version().version != plan.view_version + 1 { - return Err(Error::Runtime { - message: format!( - "a concurrent commit raced the refresh of '{}' (view version {}); the \ - refresh is unrecorded and must be replanned", - view.name(), - committed.version().version - ), - }); - } - let version = stamp_watermark( - view_native, - committed, - plan.source_version, - source_ts, - Some(definition), - expected_incarnation, - ) - .await?; - Ok(RefreshMaterializedViewResult { - mode: RefreshMode::Rebuild, - rows_written, - source_version: plan.source_version, - version, - }) -} - -/// The units in plan order, exactly one per unit of `plan`. The commit -/// publishes them as the view's whole contents, so a missing, repeated or -/// foreign result would certify a view nobody computed. -fn complete_set( - view: &str, - plan: &GroupedRefreshPlan, - units: Vec, -) -> Result> { - let mut ordered: Vec> = vec![None; plan.units as usize]; - for written in units { - if &written.plan != plan { - return Err(Error::InvalidInput { - message: format!( - "a unit of another plan of '{view}' was offered to this refresh; the \ - refresh is unrecorded and must be replanned" - ), - }); - } - let slot = ordered - .get_mut(written.unit as usize) - .ok_or_else(|| Error::InvalidInput { - message: format!( - "unit {} is not in the plan of '{view}' ({} units)", - written.unit, plan.units - ), - })?; - if slot.is_some() { - return Err(Error::InvalidInput { - message: format!("unit {} of '{view}' was written twice", written.unit), - }); - } - // A unit holds one key, so it writes that key's one group. - if written.rows > 1 { - return Err(Error::InvalidInput { - message: format!( - "unit {} of '{view}' wrote {} groups; the split did not match the \ - grouping and the refresh must be replanned", - written.unit, written.rows - ), - }); - } - *slot = Some(written); - } - ordered - .into_iter() - .enumerate() - .map(|(unit, written)| { - written.ok_or_else(|| Error::InvalidInput { - message: format!( - "unit {unit} of '{view}' is missing; the refresh holds {} units and \ - publishes all of them or none", - plan.units - ), - }) - }) - .collect() -} - -#[cfg(test)] -mod tests { - use super::super::refresh::tests::{clustered_source, declare, rows}; - use super::*; - use crate::connect; - use crate::index::Index; - use crate::index::vector::IvfFlatIndexBuilder; - use arrow_array::types::Float32Type; - use arrow_array::{ArrayRef, FixedSizeListArray, Int32Array, RecordBatchIterator}; - use lance::index::DatasetIndexExt; - use lance::index::vector::VectorIndexParams; - use lance_index::IndexType; - use lance_index::vector::ivf::IvfBuildParams; - - const BUCKETS: &str = "SELECT ivf_partition(vec) AS bucket, count(*) AS n, min(id) AS lo, \ - max(id) AS hi FROM images GROUP BY ivf_partition(vec)"; - - /// The clustered source under a two-partition cosine index, then edited - /// behind the index: a row deleted from each cluster, a row appended to - /// each, and one zero vector cosine cannot place. - async fn edited_source(conn: &crate::Connection) -> Table { - let source = clustered_source(conn).await; - source - .create_index( - &["vec"], - Index::IvfFlat( - IvfFlatIndexBuilder::default() - .num_partitions(2) - .distance_type(crate::DistanceType::Cosine), - ), - ) - .execute() - .await - .unwrap(); - source.delete("id IN (3, 13)").await.unwrap(); - let appended = FixedSizeListArray::from_iter_primitive::( - [ - Some(vec![Some(1.5), Some(0.0)]), - Some(vec![Some(101.5), Some(100.0)]), - Some(vec![Some(0.0), Some(0.0)]), - ], - 2, - ); - source - .add( - RecordBatch::try_from_iter(vec![ - ( - "id", - Arc::new(Int32Array::from(vec![20, 21, 22])) as ArrayRef, - ), - ("vec", Arc::new(appended) as ArrayRef), - ]) - .unwrap(), - ) - .execute() - .await - .unwrap(); - source - } - - async fn refresh_in_units( - view: &Table, - expected_incarnation: Option<&str>, - ) -> Result<( - GroupedRefreshPlan, - Vec, - RefreshMaterializedViewResult, - )> { - let plan = plan_grouped_refresh(view, None) - .await? - .expect("an ivf-keyed view"); - let mut units = Vec::new(); - for unit in 0..plan.units { - units.push(write_grouped_unit(view, unit, &plan).await?); - } - let result = - commit_grouped_refresh(view, &plan, units.clone(), expected_incarnation).await?; - Ok((plan, units, result)) - } - - /// Every partition's unit reads its indexed rows plus the appended rows - /// that assign to it, the deleted rows are gone, and the last unit holds - /// the unplaceable row: together they are the single-pass result. - #[tokio::test] - async fn units_compose_to_the_single_pass_result() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let single = declare(&source, "single", BUCKETS).await.unwrap(); - single.refresh().execute().await.unwrap(); - let expected = rows(single.table(), &["bucket", "n", "lo", "hi"]).await; - assert_eq!(expected.len(), 3, "{expected:?}"); - assert!(expected.iter().any(|row| row == " 1 22 22"), "{expected:?}"); - - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let (plan, units, result) = refresh_in_units(view.table(), None).await.unwrap(); - assert_eq!(plan.units, 3, "two partitions plus the unplaceable rows"); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - expected - ); - assert_eq!(units.iter().map(|u| u.rows).sum::(), 3); - assert_eq!(units.iter().map(|u| u.rows).collect::>(), [1, 1, 1]); - assert_eq!(result.rows_written, 3); - assert_eq!(result.source_version, plan.source_version); - assert_eq!(view.table().version().await.unwrap(), result.version); - - // The commit is a refresh: the view reflects the source version it - // read and a second pass finds nothing to do. - let again = view.refresh().execute().await.unwrap(); - assert_eq!(again.rows_written, 0, "{again:?}"); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - expected - ); - } - - /// A second refresh in units replaces the first one's rows rather than - /// appending to them. - #[tokio::test] - async fn a_refresh_in_units_replaces_the_previous_rows() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - refresh_in_units(view.table(), None).await.unwrap(); - source.delete("id = 22").await.unwrap(); - refresh_in_units(view.table(), None).await.unwrap(); - let mut groups = rows(view.table(), &["n", "lo", "hi"]).await; - groups.sort(); - assert_eq!(groups, ["10 0 20", "10 10 21"]); - } - - #[tokio::test] - async fn a_view_not_keyed_by_ivf_partition_has_no_units() { - let conn = connect("memory://").execute().await.unwrap(); - let source = clustered_source(&conn).await; - let view = declare( - &source, - "by_id", - "SELECT id % 2 AS k, count(*) AS n FROM images GROUP BY id % 2", - ) - .await - .unwrap(); - assert_eq!( - plan_grouped_refresh(view.table(), None).await.unwrap(), - None - ); - } - - #[tokio::test] - async fn a_unit_outside_the_plan_is_refused() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let plan = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - let err = write_grouped_unit(view.table(), plan.units, &plan) - .await - .unwrap_err(); - assert!(err.to_string().contains("not in the plan"), "{err}"); - } - - /// A commit that lands on a view someone else refreshed meanwhile is - /// refused rather than recorded over their rows. - #[tokio::test] - async fn a_raced_commit_is_refused() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let plan = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - let units = vec![write_grouped_unit(view.table(), 0, &plan).await.unwrap()]; - view.refresh().execute().await.unwrap(); - let before = rows(view.table(), &["bucket", "n", "lo", "hi"]).await; - let raced = commit_grouped_refresh(view.table(), &plan, units, None).await; - assert!(raced.is_err(), "{raced:?}"); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - before - ); - } - - /// A view with a predicate holds the rows it selects however it is - /// refreshed: the units read their rows through the index and by - /// scanning fragments, neither of which filters, so the predicate has - /// to be in the grouped query itself. - #[tokio::test] - async fn a_filtered_view_refreshes_in_units_like_a_single_pass() { - const FILTERED: &str = "SELECT ivf_partition(vec) AS bucket, count(*) AS n, \ - min(id) AS lo, max(id) AS hi FROM images WHERE id < 5 \ - GROUP BY ivf_partition(vec)"; - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let single = declare(&source, "single", FILTERED).await.unwrap(); - single.refresh().execute().await.unwrap(); - let expected = rows(single.table(), &["bucket", "n", "lo", "hi"]).await; - - let view = declare(&source, "buckets", FILTERED).await.unwrap(); - refresh_in_units(view.table(), None).await.unwrap(); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - expected - ); - } - - /// The commit publishes its units as the view's whole contents, so it - /// takes the plan's units exactly once each and nothing else. - #[tokio::test] - async fn only_a_complete_set_of_this_plan_s_units_is_published() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let plan = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - let mut units = Vec::new(); - for unit in 0..plan.units { - units.push(write_grouped_unit(view.table(), unit, &plan).await.unwrap()); - } - - let missing = commit_grouped_refresh(view.table(), &plan, units[..2].to_vec(), None).await; - assert!( - missing.unwrap_err().to_string().contains("is missing"), - "a partial set was published" - ); - let mut twice = units.clone(); - twice[1] = units[0].clone(); - let repeated = commit_grouped_refresh(view.table(), &plan, twice, None).await; - assert!( - repeated.unwrap_err().to_string().contains("written twice"), - "a repeated unit was published" - ); - let mut foreign = units.clone(); - foreign[0].plan.source_version += 1; - let stale = commit_grouped_refresh(view.table(), &plan, foreign, None).await; - assert!( - stale.unwrap_err().to_string().contains("another plan"), - "a unit of another plan was published" - ); - assert_eq!(rows(view.table(), &["bucket"]).await, Vec::::new()); - - // The complete set still lands. - commit_grouped_refresh(view.table(), &plan, units, None) - .await - .unwrap(); - assert_eq!(rows(view.table(), &["bucket"]).await.len(), 3); - } - - /// A column rewrite attaches a new file to the row's fragment and takes - /// that fragment out of the index segment's bitmap, but the segment's - /// postings still name its rows. Taking them anyway, while the fragment - /// is also scanned as unindexed, counts those rows twice and buckets the - /// stale copy by the value the rewrite replaced. - #[tokio::test] - async fn a_rewritten_fragment_is_read_once() { - use lance::dataset::{ - MergeInsertBuilder, MergeInsertWriteMode, WhenMatched, WhenNotMatched, - }; - - let conn = connect("memory://").execute().await.unwrap(); - // A column the rewrite leaves alone: RewriteColumns is only for a - // source that covers some of the row, not all of it. - let vectors = FixedSizeListArray::from_iter_primitive::( - (0..20).map(|i| { - let base = if i < 10 { 0.0 } else { 100.0 }; - Some(vec![Some(base + 1.0 + i as f32 * 0.1), Some(base)]) - }), - 2, - ); - let source = conn - .create_table( - "images", - RecordBatch::try_from_iter(vec![ - ( - "id", - Arc::new(Int32Array::from_iter_values(0..20)) as ArrayRef, - ), - ("vec", Arc::new(vectors) as ArrayRef), - ( - "tag", - Arc::new(Int32Array::from_iter_values((0..20).map(|i| i * 10))) as ArrayRef, - ), - ]) - .unwrap(), - ) - .write_options(super::super::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - source - .create_index( - &["vec"], - Index::IvfFlat(IvfFlatIndexBuilder::default().num_partitions(2)), - ) - .execute() - .await - .unwrap(); - - // Row 0 keeps its id and its fragment; its vector is replaced in a - // file the index segment does not cover. - let batch = RecordBatch::try_from_iter(vec![ - ("id", Arc::new(Int32Array::from(vec![0])) as ArrayRef), - ( - "vec", - Arc::new( - FixedSizeListArray::from_iter_primitive::( - [Some(vec![Some(101.0), Some(100.0)])], - 2, - ), - ) as ArrayRef, - ), - ]) - .unwrap(); - let schema = batch.schema(); - let dataset = source.as_native().unwrap().dataset.get().await.unwrap(); - let mut builder = - MergeInsertBuilder::try_new(Arc::new(dataset.as_ref().clone()), vec!["id".to_string()]) - .unwrap(); - builder - .when_matched(WhenMatched::UpdateAll) - .when_not_matched(WhenNotMatched::DoNothing) - .write_mode(MergeInsertWriteMode::RewriteColumns); - builder - .try_build() - .unwrap() - .execute_reader(arrow_array::RecordBatchIterator::new([Ok(batch)], schema)) - .await - .unwrap(); - - let single = declare(&source, "single", BUCKETS).await.unwrap(); - single.refresh().execute().await.unwrap(); - let expected = rows(single.table(), &["bucket", "n", "lo", "hi"]).await; - - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - refresh_in_units(view.table(), None).await.unwrap(); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - expected, - "the rewritten row was counted twice or bucketed by its old vector" - ); - } - - /// Units written on either side of an index rebuild still group by one - /// model: the plan pins a source version, indices live in the source - /// manifest, and a rebuild lands in a later version the units never - /// read. Without that, two units of one plan could assign their rows by - /// different centroids. - #[tokio::test] - async fn a_rebuilt_index_does_not_reach_the_units_of_a_plan() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let plan = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - let first = write_grouped_unit(view.table(), 0, &plan).await.unwrap(); - - source - .create_index( - &["vec"], - Index::IvfFlat( - IvfFlatIndexBuilder::default() - .num_partitions(2) - .distance_type(crate::DistanceType::Cosine), - ), - ) - .replace(true) - .execute() - .await - .unwrap(); - let rebuilt = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - assert_eq!(rebuilt.units, plan.units, "same shape"); - assert!( - rebuilt.source_version > plan.source_version, - "the rebuild is a later source version" - ); - - // The remaining units read the version the plan pinned, so they are - // grouped by the index that version holds, not the new one. - let mut units = vec![first]; - for unit in 1..plan.units { - units.push(write_grouped_unit(view.table(), unit, &plan).await.unwrap()); - } - commit_grouped_refresh(view.table(), &plan, units, None) - .await - .unwrap(); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await.len(), - 3 - ); - } - - /// Two views of the same shape over the same source reach the same plan - /// counters, so the results of one must not satisfy the other: they are - /// fragments written into a different dataset. - #[tokio::test] - async fn units_written_for_another_view_are_refused() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let mine = declare(&source, "buckets", BUCKETS).await.unwrap(); - let theirs = declare(&source, "twin", BUCKETS).await.unwrap(); - let my_plan = plan_grouped_refresh(mine.table(), None) - .await - .unwrap() - .unwrap(); - let their_plan = plan_grouped_refresh(theirs.table(), None) - .await - .unwrap() - .unwrap(); - assert_eq!( - (my_plan.units, my_plan.view_version, my_plan.source_version), - ( - their_plan.units, - their_plan.view_version, - their_plan.source_version - ), - "the counters alone do not tell these views apart" - ); - - let mut mine_units = Vec::new(); - for unit in 0..my_plan.units { - mine_units.push( - write_grouped_unit(mine.table(), unit, &my_plan) - .await - .unwrap(), - ); - } - let misrouted = - commit_grouped_refresh(theirs.table(), &their_plan, mine_units.clone(), None).await; - assert!( - misrouted.unwrap_err().to_string().contains("another plan"), - "another view's units were published" - ); - assert_eq!( - rows(theirs.table(), &["bucket"]).await, - Vec::::new() - ); - - // And a unit cannot be written for a view the plan does not name. - let foreign = write_grouped_unit(theirs.table(), 0, &my_plan).await; - assert!( - foreign - .unwrap_err() - .to_string() - .contains("not the incarnation"), - "a unit was written under another view's plan" - ); - } - - /// A write that lands on the view between the plan check and the commit - /// is not a conflict lance refuses -- the update rebases over it -- so - /// the publication checks the generation it actually landed on. - #[tokio::test(flavor = "multi_thread")] - async fn a_write_racing_the_publication_is_refused() { - use super::super::refresh::tests::{ - DRIFT_LOCK, DRIFT_PLANNED, DRIFT_RELEASED, DRIFT_TARGET, - }; - let _serial = DRIFT_LOCK.lock().await; - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - // Its own name: memory:// uris repeat across tests, so a view called - // like its siblings would arm the hook for one of their commits. - let view = declare(&source, "racing_buckets", BUCKETS).await.unwrap(); - let plan = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - let mut units = Vec::new(); - for unit in 0..plan.units { - units.push(write_grouped_unit(view.table(), unit, &plan).await.unwrap()); - } - let uri = view - .table() - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .uri() - .to_string(); - *DRIFT_TARGET.lock().unwrap() = Some(uri); - - let publishing = { - let table = view.table().clone(); - let plan = plan.clone(); - tokio::spawn(async move { commit_grouped_refresh(&table, &plan, units, None).await }) - }; - tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) - .await - .expect("the commit never reached the publication boundary"); - view.table() - .add( - RecordBatch::try_from_iter(vec![ - ("bucket", Arc::new(Int32Array::from(vec![7])) as ArrayRef), - ("n", Arc::new(Int32Array::from(vec![1])) as ArrayRef), - ("lo", Arc::new(Int32Array::from(vec![0])) as ArrayRef), - ("hi", Arc::new(Int32Array::from(vec![0])) as ArrayRef), - ( - super::super::SOURCE_ROW_ID_COLUMN, - Arc::new(arrow_array::UInt64Array::from(vec![0u64])) as ArrayRef, - ), - ]) - .unwrap(), - ) - .execute() - .await - .unwrap(); - DRIFT_RELEASED.notify_one(); - - let err = publishing.await.unwrap().unwrap_err(); - assert!(err.to_string().contains("raced the refresh"), "{err}"); - } - - #[test] - fn the_key_column_is_read_off_a_single_ivf_key() { - let mut definition = MaterializedViewDefinition::from_sql( - "SELECT ivf_partition(vec) AS b, count(*) AS n FROM t GROUP BY ivf_partition(vec)", - ) - .unwrap(); - assert_eq!(ivf_key_column(&definition).as_deref(), Some("vec")); - definition.group_by = vec!["k".to_string()]; - assert_eq!(ivf_key_column(&definition), None); - definition.group_by = vec!["ivf_partition(vec)".to_string(), "k".to_string()]; - assert_eq!(ivf_key_column(&definition), None); - } - - /// A source whose index does not assign by its own centroids: lance - /// takes precomputed partitions, so row 1 is stored under partition 1 - /// and `ivf_partition` puts it in 0. - async fn precomputed_source(conn: &crate::Connection, dir: &std::path::Path) -> Table { - let vectors = FixedSizeListArray::from_iter_primitive::( - [ - Some(vec![Some(1.0), Some(0.0)]), - Some(vec![Some(2.0), Some(0.0)]), - Some(vec![Some(100.0), Some(100.0)]), - ], - 2, - ); - let source = conn - .create_table( - "images", - RecordBatch::try_from_iter(vec![ - ("id", Arc::new(Int32Array::from(vec![0, 1, 2])) as ArrayRef), - ("vec", Arc::new(vectors) as ArrayRef), - ]) - .unwrap(), - ) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - - let assignments = arrow_array::record_batch!( - ("row_id", UInt64, [0, 1, 2]), - ("partition", UInt32, [0, 1, 1]) - ) - .unwrap(); - let file = dir.join("partitions.lance"); - let file = file.to_str().unwrap(); - lance::Dataset::write( - RecordBatchIterator::new(vec![Ok(assignments.clone())], assignments.schema()), - file, - None, - ) - .await - .unwrap(); - - let centroids = FixedSizeListArray::from_iter_primitive::( - [ - Some(vec![Some(0.0), Some(0.0)]), - Some(vec![Some(100.0), Some(100.0)]), - ], - 2, - ); - let mut ivf = IvfBuildParams::try_with_centroids(2, Arc::new(centroids)).unwrap(); - ivf.precomputed_partitions_file = Some(file.to_string()); - let mut dataset = source - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .as_ref() - .clone(); - dataset - .create_index( - &["vec"], - IndexType::Vector, - None, - &VectorIndexParams::with_ivf_flat_params( - lance_linalg::distance::DistanceType::L2, - ivf, - ), - true, - ) - .await - .unwrap(); - conn.open_table("images").execute().await.unwrap() - } - - async fn incarnation(view: &Table) -> String { - view.as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .schema() - .metadata - .get(crate::materialized_view::INCARNATION_META_KEY) - .cloned() - .unwrap() - } - - /// The split is the index's posting lists and the key is - /// `ivf_partition`. Where they disagree one group is aggregated in two - /// units and published twice, so such a view has no units at all. - #[tokio::test] - async fn an_index_that_does_not_assign_by_its_centroids_has_no_units() { - let dir = tempfile::tempdir().unwrap(); - let conn = connect("memory://").execute().await.unwrap(); - let source = precomputed_source(&conn, dir.path()).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - assert_eq!( - plan_grouped_refresh(view.table(), None).await.unwrap(), - None - ); - view.refresh().execute().await.unwrap(); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - ["0 2 0 1", "1 1 2 2"] - ); - } - - /// The publication is the last place the split can be caught: a unit - /// that holds one key writes one group, and a set that says otherwise is - /// not published however it was produced. - #[tokio::test] - async fn a_unit_that_wrote_more_than_one_group_is_not_published() { - let conn = connect("memory://").execute().await.unwrap(); - let source = edited_source(&conn).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let plan = plan_grouped_refresh(view.table(), None) - .await - .unwrap() - .unwrap(); - let mut units = Vec::new(); - for unit in 0..plan.units { - units.push(write_grouped_unit(view.table(), unit, &plan).await.unwrap()); - } - units[1].rows = 2; - let err = commit_grouped_refresh(view.table(), &plan, units, None) - .await - .unwrap_err(); - assert!(err.to_string().contains("wrote 2 groups"), "{err}"); - assert_eq!(rows(view.table(), &["bucket"]).await, Vec::::new()); - } - - /// The plan reads a sample, so the unit proves the rest: it holds only - /// rows that assign to it, or it refuses rather than write a group - /// another unit holds too. - #[tokio::test] - async fn a_unit_holding_a_row_that_assigns_elsewhere_is_refused() { - let dir = tempfile::tempdir().unwrap(); - let conn = connect("memory://").execute().await.unwrap(); - let source = precomputed_source(&conn, dir.path()).await; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - let plan = GroupedRefreshPlan { - units: 3, - source_version: source.version().await.unwrap(), - view_version: view.table().version().await.unwrap(), - incarnation: incarnation(view.table()).await, - }; - assert_eq!( - write_grouped_unit(view.table(), 0, &plan) - .await - .unwrap() - .rows, - 1 - ); - let err = write_grouped_unit(view.table(), 1, &plan) - .await - .unwrap_err(); - assert!(err.to_string().contains("does not assign to"), "{err}"); - } -} diff --git a/rust/lancedb/src/materialized_view/partitioned.rs b/rust/lancedb/src/materialized_view/partitioned.rs deleted file mode 100644 index 58192089b..000000000 --- a/rust/lancedb/src/materialized_view/partitioned.rs +++ /dev/null @@ -1,192 +0,0 @@ -// SPDX-License-Identifier: Apache-2.0 -// SPDX-FileCopyrightText: Copyright The LanceDB Authors - -//! Shared plan/write/commit surface for materialized views with independent units. - -use serde::{Deserialize, Serialize}; - -use super::duplicate_pairs::{ - self, DuplicatePairsRefreshPlan, VectorSourceKind, WrittenPairsPartition, -}; -use super::vector_dedup::{self, VectorDedupPlan, WrittenDedupUnit}; -use super::{GroupedRefreshPlan, RefreshMaterializedViewResult, StoredDefinition, WrittenUnit}; -use crate::table::Table; -use crate::{Error, Result}; - -/// Serializable work description consumed by a host's existing job workers. -/// The grouped variant preserves the previous saved-plan representation. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] -#[serde(untagged)] -pub enum PartitionedRefreshPlan { - VectorDedup(VectorDedupPlan), - DuplicatePairs(DuplicatePairsRefreshPlan), - Grouped(GroupedRefreshPlan), -} - -impl PartitionedRefreshPlan { - /// The shared source snapshot and destination generation fence. - pub fn snapshot(&self) -> &GroupedRefreshPlan { - match self { - Self::VectorDedup(plan) => &plan.snapshot, - Self::DuplicatePairs(plan) => &plan.snapshot, - Self::Grouped(plan) => plan, - } - } - /// Selection tasks that must complete before remaining tasks can start. - pub fn dependency_units(&self) -> u32 { - match self { - Self::VectorDedup(plan) => plan.dependencies(), - _ => 0, - } - } - /// Number of independent units in this immutable plan. - pub fn units(&self) -> u32 { - self.snapshot().units - } -} - -/// One completed unit's uncommitted fragments. Failed attempts produce no receipt. -#[derive(Debug, Clone, Serialize, Deserialize)] -#[serde(untagged)] -pub enum WrittenPartition { - VectorDedup(WrittenDedupUnit), - DuplicatePairs(WrittenPairsPartition), - Grouped(WrittenUnit), -} - -impl WrittenPartition { - /// Number of pair or grouped rows staged by this unit. - pub fn rows(&self) -> u64 { - match self { - Self::VectorDedup(unit) => unit.rows, - Self::DuplicatePairs(unit) => unit.rows, - Self::Grouped(unit) => unit.rows(), - } - } - /// Uncommitted output files, retained only after task completion. - pub fn fragments(&self) -> &[lance_table::format::Fragment] { - match self { - Self::VectorDedup(unit) => &unit.fragments, - Self::DuplicatePairs(unit) => &unit.fragments, - Self::Grouped(unit) => unit.fragments(), - } - } -} - -/// Plan native pair or indexed grouped work; return `None` for ordinary views. -/// `pinned`, when supplied, must match a native view's declared source version. -pub async fn plan_partitioned_refresh( - view: &Table, - pinned: Option, -) -> Result> { - if let Some(StoredDefinition::Query(definition)) = - super::read_definition(view.schema().await?.metadata())? - && definition.vector_source.is_some() - { - if definition - .vector_source - .as_ref() - .is_some_and(|s| s.kind == VectorSourceKind::Dedup) - { - return vector_dedup::plan_refresh(view, pinned) - .await - .map(|p| Some(PartitionedRefreshPlan::VectorDedup(p))); - } - return duplicate_pairs::plan_refresh(view, pinned) - .await - .map(|p| Some(PartitionedRefreshPlan::DuplicatePairs(p))); - } - super::plan_grouped_refresh(view, pinned) - .await - .map(|plan| plan.map(PartitionedRefreshPlan::Grouped)) -} - -/// Stream one unit into uncommitted fragments. Persist the returned receipt only -/// on success. A failed or interrupted call must be retried from the unit's start. -pub async fn write_refresh_partition( - view: &Table, - unit: u32, - plan: &PartitionedRefreshPlan, -) -> Result { - write_refresh_partition_with_inputs(view, unit, plan, &[]).await -} - -/// Write a unit after its durable selection dependencies have completed. -/// Supply exactly the first `plan.dependency_units()` receipts for a dependent -/// unit. A missing, duplicate or foreign receipt fails before output is staged. -pub async fn write_refresh_partition_with_inputs( - view: &Table, - unit: u32, - plan: &PartitionedRefreshPlan, - dependencies: &[WrittenPartition], -) -> Result { - match plan { - PartitionedRefreshPlan::VectorDedup(plan) => { - let dependencies = dependencies - .iter() - .map(|unit| match unit { - WrittenPartition::VectorDedup(unit) => Ok(unit.clone()), - _ => Err(Error::InvalidInput { - message: "foreign dedup dependency".into(), - }), - }) - .collect::>>()?; - vector_dedup::write_unit(view, unit, plan, &dependencies) - .await - .map(WrittenPartition::VectorDedup) - } - PartitionedRefreshPlan::DuplicatePairs(plan) => { - duplicate_pairs::write_unit(view, unit, plan) - .await - .map(WrittenPartition::DuplicatePairs) - } - PartitionedRefreshPlan::Grouped(plan) => super::write_grouped_unit(view, unit, plan) - .await - .map(WrittenPartition::Grouped), - } -} - -/// Publish a complete set of unit receipts through the common MV commit sink. -/// `expected` fences the destination incarnation. No partial set is publishable. -pub async fn commit_partitioned_refresh( - view: &Table, - plan: &PartitionedRefreshPlan, - units: Vec, - expected: Option<&str>, -) -> Result { - let foreign = || Error::InvalidInput { - message: "refresh receipt does not match the plan kind".into(), - }; - match plan { - PartitionedRefreshPlan::VectorDedup(plan) => { - let units = units - .into_iter() - .map(|unit| match unit { - WrittenPartition::VectorDedup(unit) => Ok(unit), - _ => Err(foreign()), - }) - .collect::>>()?; - vector_dedup::commit(view, plan, units, expected).await - } - PartitionedRefreshPlan::DuplicatePairs(plan) => { - let units = units - .into_iter() - .map(|unit| match unit { - WrittenPartition::DuplicatePairs(unit) => Ok(unit), - _ => Err(foreign()), - }) - .collect::>>()?; - duplicate_pairs::commit(view, plan, units, expected).await - } - PartitionedRefreshPlan::Grouped(plan) => { - let units = units - .into_iter() - .map(|unit| match unit { - WrittenPartition::Grouped(unit) => Ok(unit), - _ => Err(foreign()), - }) - .collect::>>()?; - super::commit_grouped_refresh(view, plan, units, expected).await - } - } -} diff --git a/rust/lancedb/src/materialized_view/query.rs b/rust/lancedb/src/materialized_view/query.rs index 4bfd5542e..c1a987b2c 100644 --- a/rust/lancedb/src/materialized_view/query.rs +++ b/rust/lancedb/src/materialized_view/query.rs @@ -264,36 +264,7 @@ fn extract(query: &Query) -> Result { }; let mut from = select.from.iter(); - let mut vector_source = None; let (source_namespace, source_table) = match from.next().map(|f| &f.relation) { - Some(TableFactor::Table { - name, - args: Some(args), - alias: None, - with_hints, - version: None, - with_ordinality: false, - partitions, - json_path: None, - sample: None, - index_hints, - .. - }) if matches!( - name.to_string().as_str(), - super::duplicate_pairs::FUNCTION_NAME | super::duplicate_pairs::DEDUP_FUNCTION_NAME - ) && with_hints.is_empty() - && partitions.is_empty() - && index_hints.is_empty() => - { - let kind = if name.to_string() == super::duplicate_pairs::FUNCTION_NAME { - super::VectorSourceKind::Pairs - } else { - super::VectorSourceKind::Dedup - }; - let (namespace, table, config) = super::duplicate_pairs::source(args, kind)?; - vector_source = Some(Box::new(config)); - (namespace, table) - } Some(TableFactor::Table { args: Some(_), .. }) => { return Err(invalid( "a view reads a table; a Function in FROM position follows it: \ @@ -445,7 +416,6 @@ fn extract(query: &Query) -> Result { }; let definition = MaterializedViewDefinition { - vector_source, source_table, source_namespace, lateral, @@ -454,9 +424,6 @@ fn extract(query: &Query) -> Result { group_by, limit, }; - if definition.vector_source.is_some() { - super::duplicate_pairs::check_shape(&definition)?; - } check_grouping(&definition)?; Ok(definition) } @@ -516,18 +483,7 @@ pub fn render(definition: &MaterializedViewDefinition) -> String { .chain(std::iter::once(&definition.source_table)) .map(|part| ident_sql(part)) .collect(); - if let Some(native) = &definition.vector_source { - sql.push_str(&format!( - "{}('{}', {}, '{}', {})", - native.function_name(), - table.join(".").replace('\'', "''"), - native.dataset_version, - native.column.replace('\'', "''"), - native.distance_threshold - )); - } else { - sql.push_str(&table.join(".")); - } + sql.push_str(&table.join(".")); if let Some(lateral) = &definition.lateral { match &lateral.source { LateralSource::Unnest { column } => { @@ -555,45 +511,6 @@ pub fn render(definition: &MaterializedViewDefinition) -> String { mod tests { use super::*; - #[test] - fn native_pairs_are_a_table_source_with_literal_snapshot_arguments() { - for threshold in ["4", "4.0", "-1", "0.05"] { - let sql = - format!("SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', {threshold})"); - let definition = parse(&sql).unwrap(); - assert_eq!(definition.source_table, "images"); - assert!(definition.lateral.is_none()); - assert_eq!( - definition.vector_source.as_ref().unwrap().dataset_version, - 3 - ); - assert_eq!(parse(&render(&definition)).unwrap(), definition); - let metadata = std::collections::HashMap::from([( - super::super::DEFINITION_META_KEY.to_string(), - definition.to_json().unwrap(), - )]); - assert_eq!( - super::super::read_definition(&metadata).unwrap(), - Some(super::super::StoredDefinition::Query(definition)) - ); - } - for sql in [ - "SELECT row_id_a FROM vector_duplicate_pairs('images', 3, 'phash', 4)", - "SELECT * FROM vector_duplicate_pairs('images', 0, 'phash', 4)", - "SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', 1e100)", - "SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', cutoff)", - "SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', 4) LIMIT 1", - "SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', 4) WHERE distance < 2", - "SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', 4) AS p", - "SELECT * FROM vector_duplicate_pairs('images', 3, 'phash', 4), f(phash) AS p", - ] { - assert!( - parse(sql).is_err(), - "accepted unsupported native view: {sql}" - ); - } - } - #[test] fn a_query_round_trips_through_its_canonical_form() { for (sql, canonical) in [ diff --git a/rust/lancedb/src/materialized_view/refresh.rs b/rust/lancedb/src/materialized_view/refresh.rs index 9f0ea2646..f9634837a 100644 --- a/rust/lancedb/src/materialized_view/refresh.rs +++ b/rust/lancedb/src/materialized_view/refresh.rs @@ -1,63 +1,37 @@ // SPDX-License-Identifier: Apache-2.0 // SPDX-FileCopyrightText: Copyright The LanceDB Authors -//! Refreshing materialized views. +//! Full refresh for materialized views. //! -//! A refresh pins one source version and brings the view to exactly the -//! definition's result at that version: added rows are computed and appended, -//! removed or changed rows are evicted by provenance id and recomputed in the -//! same pass. Compaction outputs cost nothing, which is only sound while -//! [`SOURCE_ROW_ID_COLUMN`] stays valid across the rewrite. Anything the -//! classifier cannot prove intact rebuilds; an indexed rebuild swaps all -//! fragments in one commit that retains index definitions. -//! -//! The watermark ([`SOURCE_VERSION_META_KEY`]) lands in a follow-up commit; a -//! crash or race between the two leaves the view visibly unstamped and the -//! next refresh rebuilds. In-process refreshes serialize on a per-view lock; -//! across processes the commit's inserted-rows filter carries a shared token, -//! so two refreshes of one view conflict and only one lands. +//! A refresh evaluates the definition at one source version, stages the +//! complete result, and atomically replaces every fragment of the view. -use std::collections::{HashMap, HashSet}; +use std::collections::HashMap; use std::sync::atomic::{AtomicU64, Ordering}; use std::sync::{Arc, Mutex as StdMutex, OnceLock}; -use std::time::{SystemTime, UNIX_EPOCH}; use arrow_array::cast::AsArray; -use arrow_array::types::UInt64Type; -use arrow_array::{RecordBatch, UInt64Array, new_null_array}; -use arrow_schema::{DataType, Field as ArrowField, FieldRef, Schema as ArrowSchema, SchemaRef}; -use datafusion::common::ScalarValue; +use arrow_array::{RecordBatch, new_null_array}; +use arrow_schema::{Schema as ArrowSchema, SchemaRef}; use datafusion::error::DataFusionError; use datafusion::physical_expr::PhysicalExpr; use datafusion::physical_plan::SendableRecordBatchStream; use datafusion::physical_plan::stream::RecordBatchStreamAdapter; -use datafusion::prelude::{col, lit}; -use futures::{StreamExt, TryStreamExt}; +use futures::StreamExt; use lance::Dataset; use lance::dataset::mem_wal::DatasetMemWalExt; -use lance::dataset::transaction::{Operation, Transaction, UpdateMode}; -use lance::dataset::write::delete::DeleteBuilder; +use lance::dataset::transaction::{Operation, Transaction}; use lance::dataset::write::merge_insert::inserted_rows::{ KeyExistenceFilter, KeyExistenceFilterBuilder, KeyValue, }; use lance::dataset::{CommitBuilder, InsertBuilder, WriteDestination, WriteMode, WriteParams}; -use lance_core::{ROW_CREATED_AT_VERSION, ROW_ID, ROW_LAST_UPDATED_AT_VERSION}; - use lance_datafusion::planner::Planner; -use lance_file::version::ConcreteFileVersion; -use lance_table::format::Fragment; use serde::{Deserialize, Serialize}; -use super::{ - DEFINITION_META_KEY, INCARNATION_META_KEY, MaterializedViewDefinition, - REFRESHED_AT_MS_META_KEY, SOURCE_ROW_ID_COLUMN, SOURCE_VERSION_META_KEY, - definition_to_metadata, -}; +use super::{MaterializedViewDefinition, StoredDefinition}; use crate::database::OpenTableRequest; -use crate::table::computed_columns::{ - computed_column_from_field, computed_columns, ensure_declarations_are_planned, -}; -use crate::table::{NativeTable, NativeTableExt, Table}; +use crate::table::computed_columns::{computed_column_from_field, ensure_declarations_are_planned}; +use crate::table::{NativeTableExt, Table}; use crate::{Error, Result}; /// How a refresh brought the view up to date. @@ -66,10 +40,6 @@ use crate::{Error, Result}; pub enum RefreshMode { /// The view was recomputed from scratch. Rebuild, - /// Rows from source fragments added since the last refresh were appended. - Incremental, - /// The view was already at the requested source version. - NoOp, } /// The result of refreshing a materialized view. @@ -77,28 +47,15 @@ pub enum RefreshMode { pub struct RefreshMaterializedViewResult { /// How the view was brought up to date. pub mode: RefreshMode, - /// Rows written to the view: everything on a rebuild, and on an - /// incremental refresh both the rows added and the rows recomputed in - /// place of ones the source changed. + /// Rows written to the replacement view. pub rows_written: u64, - /// The source table version the view now reflects. + /// The source table version the view reflects. pub source_version: u64, /// The view table version after the refresh. pub version: u64, } -/// Schema metadata key holding the view table version a successful refresh -/// left behind. Any other commit on the view is drift, and refresh rebuilds. -pub const VIEW_VERSION_META_KEY: &str = "mv.view_version"; - -/// Schema metadata key holding the commit timestamp of the watermark's source -/// manifest. A dropped and recreated source reuses version numbers but never -/// their timestamps, so a mismatch means the watermark describes a different -/// incarnation and refresh rebuilds. -pub const SOURCE_VERSION_TS_META_KEY: &str = "mv.source_version_ts"; - -/// One refresh per view at a time within this process. -pub(super) fn refresh_lock(uri: &str) -> Arc> { +fn refresh_lock(uri: &str) -> Arc> { static LOCKS: OnceLock>>>> = OnceLock::new(); LOCKS @@ -110,57 +67,27 @@ pub(super) fn refresh_lock(uri: &str) -> Arc> { .clone() } -/// Internal implementation of the refresh logic. +/// Recompute a local materialized view from one source version. pub(crate) async fn execute_refresh( view: &Table, - full: bool, pinned: Option, - expected_incarnation: Option<&str>, ) -> Result { - // Native table functions use the same partition writer and commit sink in - // local execution; Sophon drives these units through its job registry. - if let Some(super::StoredDefinition::Query(definition)) = - super::read_definition(view.schema().await?.metadata())? - && definition.vector_source.is_some() - { - let plan = super::plan_partitioned_refresh(view, pinned) - .await? - .ok_or_else(|| Error::Runtime { - message: "native pair view has no partition plan".into(), - })?; - let mut units = Vec::with_capacity(plan.units() as usize); - for unit in 0..plan.units() { - let dependencies = &units[..units.len().min(plan.dependency_units() as usize)]; - units.push( - super::write_refresh_partition_with_inputs(view, unit, &plan, dependencies).await?, - ); - } - return super::commit_partitioned_refresh(view, &plan, units, expected_incarnation).await; - } - let view_native = view.as_native().ok_or_else(|| Error::NotSupported { + let native = view.as_native().ok_or_else(|| Error::NotSupported { message: "materialized views are supported only on local tables".into(), })?; - view_native.dataset.ensure_mutable()?; - let lock = refresh_lock(view_native.dataset.get().await?.uri()); + native.dataset.ensure_mutable()?; + let lock = refresh_lock(native.dataset.get().await?.uri()); let _guard = lock.lock().await; - // Force-load the latest view state under the lock: each handle caches - // lazily, and a second handle would otherwise plan from a snapshot taken - // before another handle's commit -- appending the same rows again or - // reporting NoOp over a mutated view. - view_native.dataset.reload().await?; - let view_ds = view_native.dataset.get().await?.as_ref().clone(); + native.dataset.reload().await?; + let view_ds = native.dataset.get().await?.as_ref().clone(); + ensure_no_mem_wal(&view_ds, "materialized view", view.name()).await?; - ensure_incarnation(&view_ds, expected_incarnation, view.name()).await?; - - // The definition a handle cached at open may since have been replaced; - // what refresh executes and what it stamps must be one generation. let definition = match super::read_definition(&view_ds.schema().metadata)? { - Some(super::StoredDefinition::Query(definition)) => definition, - Some(super::StoredDefinition::Newer { format }) => { + Some(StoredDefinition::Query(definition)) => definition, + Some(StoredDefinition::Newer { format }) => { return Err(Error::NotSupported { message: format!( - "materialized view '{}' is stored in format {format}, which this \ - version of lancedb cannot refresh", + "materialized view '{}' is stored in format {format}, which this version of lancedb cannot refresh", view.name() ), }); @@ -171,572 +98,216 @@ pub(crate) async fn execute_refresh( }); } }; - let definition = &definition; - let staging = super::read_staging(&view_ds.schema().metadata)?; - ensure_no_mem_wal(&view_ds, "materialized view", view.name()).await?; - - let source_ds = open_source(view, definition, staging.as_ref()).await?; - let source_ds = match pinned { - Some(version) => source_ds.checkout_version(version).await?, - None => source_ds, + let source = open_source(view, &definition).await?; + let source = match pinned { + Some(version) => source.checkout_version(version).await?, + None => source, }; - ensure_no_mem_wal(&source_ds, "source table", &definition.source_table).await?; - let source_version = source_ds.version().version; - let source_ts = source_ds.manifest.timestamp_nanos; + ensure_no_mem_wal(&source, "source table", &definition.source_table).await?; + let source_version = source.version().version; - // Re-plan the persisted definition against the current source schema and - // require its planned output to be exactly the view's physical schema: a - // definition the stored table cannot represent must not be certified. - let source_schema = Arc::new(ArrowSchema::from(source_ds.schema())); + let source_schema = Arc::new(ArrowSchema::from(source.schema())); let super::Planned { - definition: replanned, + definition, fields: planned_fields, inputs, .. - } = super::plan(source_schema.clone(), definition, staging.as_ref()).map_err(|e| match e { - // The stored query planned when the view was declared; what changed - // since is the source. + } = super::plan(source_schema, &definition).map_err(|error| match error { Error::InvalidExpression { column, message } => Error::Schema { message: format!( - "view column '{column}' no longer plans against '{}' (a source column \ - was dropped or renamed): {message}", + "view column '{column}' no longer plans against '{}' (a source column was dropped or renamed): {message}", definition.source_table ), }, Error::InvalidInput { message } => Error::Schema { message: format!( - "the stored query no longer plans against '{}' (a source column was \ - dropped or renamed): {message}", + "the stored query no longer plans against '{}' (a source column was dropped or renamed): {message}", definition.source_table ), }, - e => e, + error => error, })?; - let mut planned_fields = planned_fields; - planned_fields.push(arrow_schema::Field::new( - SOURCE_ROW_ID_COLUMN, - arrow_schema::DataType::UInt64, - false, - )); - // A computed column is not planned from the source: refresh writes it - // NULL and its declaration's owner fills it. Its declaration must still - // be complete, and it must be able to hold NULL. - let physical = ArrowSchema::from(view_ds.schema()); - let mut computed = computed_columns(&physical).into_iter().map(|c| c.name); - if let Some(name) = computed.by_ref().find(|name| { - physical - .field_with_name(name) - .is_ok_and(|f| !f.is_nullable()) - }) { + + let physical = Arc::new(ArrowSchema::from(view_ds.schema())); + ensure_declarations_are_planned(&physical)?; + if let Some(field) = physical + .fields() + .iter() + .find(|field| computed_column_from_field(field).is_some() && !field.is_nullable()) + { return Err(Error::Schema { message: format!( - "computed column '{name}' of view '{}' cannot hold NULL; recreate the view", + "computed column '{}' of view '{}' cannot hold NULL; recreate the view", + field.name(), view.name() ), }); } - ensure_declarations_are_planned(&physical)?; - let physical_planned: Vec<&FieldRef> = physical + let stored_fields: Vec<_> = physical .fields() .iter() - .filter(|f| computed_column_from_field(f).is_none()) + .filter(|field| computed_column_from_field(field).is_none()) .collect(); - // A projected column that became nullable at the source still fits the - // view's nullable field; the reverse would not. - let matches = planned_fields.len() == physical_planned.len() - && planned_fields.iter().zip(&physical_planned).all(|(e, p)| { - e.name() == p.name() - && e.data_type() == p.data_type() - && (p.is_nullable() || !e.is_nullable()) - }); + let matches = planned_fields.len() == stored_fields.len() + && planned_fields + .iter() + .zip(stored_fields) + .all(|(planned, stored)| { + planned.name() == stored.name() + && planned.data_type() == stored.data_type() + && (stored.is_nullable() || !planned.is_nullable()) + }); if !matches { return Err(Error::Schema { message: format!( - "the stored definition of view '{}' does not produce this \ - view's schema; recreate the view", + "the stored definition of view '{}' does not produce this view's schema; recreate the view", view.name() ), }); } - // The stored query is rewritten whenever its stored form differs from - // the current one: a legacy layout, or a spelling the canonicalizer no - // longer produces. Whether the rows change is a separate question: a - // legacy raw filter like `"Party" = 'D'` read the double quotes as a - // string literal, so its watermark certifies different rows than the - // canonical predicate, and only a rebuild can replace them. - let current = definition_to_metadata(&replanned)?; - let persist = view_ds.schema().metadata.get(DEFINITION_META_KEY) != Some(¤t); - let unnest = super::physical_unnest(&replanned, staging.as_ref())?; - let definition_changed = !same_meaning(&source_schema, definition, &replanned, unnest.as_ref()); - let definition = &replanned; - let persist = persist.then_some(definition); - if definition_changed { - return rebuild( - view_native, - &view_ds, - &source_ds, - source_version, - source_ts, - definition, - &inputs, - unnest.as_ref(), - true, - expected_incarnation, - ) - .await; - } - - let metadata = &view_ds.schema().metadata; - let watermark: Option = metadata - .get(SOURCE_VERSION_META_KEY) - .and_then(|raw| raw.parse().ok()); - let recorded_ts: Option = metadata - .get(SOURCE_VERSION_TS_META_KEY) - .and_then(|raw| raw.parse().ok()); - // The watermark speaks only for the view state its refresh left behind; - // any other commit on the view since then is drift, except a fill of its - // computed columns, which rewrites nothing refresh certifies. - let recorded_view_version = metadata - .get(VIEW_VERSION_META_KEY) - .and_then(|raw| raw.parse::().ok()); - let view_intact = match recorded_view_version { - Some(recorded) if recorded == view_ds.version().version => true, - Some(recorded) if recorded < view_ds.version().version => { - only_computed_rewrites_since(&view_ds, recorded).await? - } - _ => false, - }; - - if !full && watermark == Some(source_version) && view_intact && recorded_ts == Some(source_ts) { - return Ok(RefreshMaterializedViewResult { - mode: RefreshMode::NoOp, - rows_written: 0, - source_version, - version: view_ds.version().version, - }); - } - - // A group spans fragments: there is no per-fragment increment. - if definition.is_grouped() { - return rebuild( - view_native, - &view_ds, - &source_ds, - source_version, - source_ts, - definition, - &inputs, - None, - persist.is_some(), - expected_incarnation, - ) - .await; - } - let watermark = watermark.filter(|_| view_intact); - match plan_increment( - &source_ds, - source_version, - watermark, - recorded_ts, - full, - definition, + let rows_written = Arc::new(AtomicU64::new(0)); + let unnest = super::physical_unnest(&definition)?; + let stream = compute_stream( + &source, + &definition, &inputs, + unnest.as_ref(), + physical, + rows_written.clone(), ) - .await - { - Some(increment) => { - let reconciled = incremental( - view_native, - &view_ds, - &source_ds, - source_version, - source_ts, - increment, - definition, - &inputs, - unnest.as_ref(), - persist, - watermark, - expected_incarnation, - ) - .await?; - match reconciled { - Some(result) => Ok(result), - // The delta was too large to reconcile in bounded memory. - None => { - rebuild( - view_native, - &view_ds, - &source_ds, - source_version, - source_ts, - definition, - &inputs, - unnest.as_ref(), - persist.is_some(), - expected_incarnation, - ) - .await - } - } - } - None => { - rebuild( - view_native, - &view_ds, - &source_ds, - source_version, - source_ts, - definition, - &inputs, - unnest.as_ref(), - persist.is_some(), - expected_incarnation, - ) - .await - } - } -} - -/// The source fragments whose rows are new since the watermark, or `None` -/// where the view has to rebuild. Two tiers: the transaction walk is exact -/// where it applies; the fragment-signature check is the fallback for deltas -/// the walk cannot read, and under it any fragment churn rebuilds. -async fn plan_increment( - source_ds: &Dataset, - source_version: u64, - watermark: Option, - recorded_ts: Option, - full: bool, - definition: &MaterializedViewDefinition, - inputs: &[String], -) -> Option { - if full { - return None; - } - let watermark = watermark?; - if watermark > source_version { - return None; - } - let old = source_ds.checkout_version(watermark).await.ok()?; - // A recreated source reuses version numbers, never their timestamps: a - // mismatch means the watermark describes a different incarnation. - if recorded_ts != Some(old.manifest.timestamp_nanos) { - return None; - } - let old_ids: HashSet = old.get_fragments().iter().map(|f| f.id() as u64).collect(); - let live: Vec = source_ds - .get_fragments() - .iter() - .map(|f| f.metadata().clone()) - .collect(); - - if let Some(delta) = appends_and_rewrites(source_ds, watermark, source_version).await { - // A rewrite that consumed a fragment neither present at the watermark - // nor produced by an earlier rewrite swallowed a mid-delta append; - // its rows cannot be told apart from already-materialized ones. - let folded = delta - .rewritten - .iter() - .any(|id| !old_ids.contains(id) && !delta.produced.contains(id)); - if folded { - return None; - } - // An update rewrites a whole fragment. If it touched one the watermark - // never saw, that fragment holds rows appended since -- new rows the - // update did not change, which the recompute does not cover and which - // this fragment's exclusion from the append set would drop. - if delta - .updated_in_place - .iter() - .any(|id| !old_ids.contains(id)) - { - return None; - } - // Rows past the cap left every delta when the watermark advanced, so - // a capped view cannot reconcile a removal incrementally. The rebuild - // is cheap for the same reason it is capped: the scan stops there. - if definition.limit.is_some() && (delta.deleted_rows || delta.updated_rows) { - return None; - } - // Legacy storage cannot serve the row-version columns update - // discovery scans; deletes and appends need none of them. - if delta.updated_rows - && source_ds.manifest.data_storage_format.lance_file_format() == ConcreteFileVersion::V1 - { - return None; - } - // Every other fragment new at head is an append: appends and rewrites - // are the only operations in the delta that add fragments, and the - // rewrite outputs are already-materialized rows rearranged. - return Some(Increment { - appended: live - .into_iter() - .filter(|f| !old_ids.contains(&f.id) && !delta.produced.contains(&f.id)) - .collect(), - evict_deleted: delta.deleted_rows, - replace_updated: delta.updated_rows, - }); - } - - is_pure_append(&old, source_ds, &relevant_field_ids(source_ds, inputs)).then(|| Increment { - appended: live - .into_iter() - .filter(|f| !old_ids.contains(&f.id)) - .collect(), - evict_deleted: false, - replace_updated: false, + .await?; + let committed = replace_fragments(view_ds, stream).await?; + let version = committed.version().version; + native.dataset.update(committed); + Ok(RefreshMaterializedViewResult { + mode: RefreshMode::Rebuild, + rows_written: rows_written.load(Ordering::Relaxed), + source_version, + version, }) } -/// Version gap beyond which per-version transaction reads stop being cheaper -/// than one fragment scan. -const MAX_TRANSACTION_WALK: u64 = 512; - -/// Fragment ids moved by the `Rewrite` operations of the delta. Only rewrite -/// ids are real in transaction files (an Append's are placeholders assigned -/// at commit), so appends are derived as new-at-head minus rewrite outputs. -/// What an incremental refresh must do to bring the view up to date. -struct Increment { - /// Source fragments whose rows are not in the view yet. - appended: Vec, - /// Source rows left the range, so the view holds rows to evict. - evict_deleted: bool, - /// Source rows changed in the range, so the view holds rows to replace. - replace_updated: bool, -} - -struct TxnDelta { - /// Fragments consumed by `Rewrite` operations. - rewritten: HashSet, - /// Fragments produced by `Rewrite` operations. - produced: HashSet, - /// The delta removed source rows, so the view holds rows to evict. - deleted_rows: bool, - /// The delta changed source rows in place, so the view holds rows to - /// recompute. - updated_rows: bool, - /// Fragments an update modified in place, as opposed to produced. - updated_in_place: HashSet, -} - -/// Read the delta from the transaction log, `None` where it holds anything -/// but appends and rewrites or cannot be read; `None` only sends the caller -/// to a slower check. `ReserveFragments` moves no rows and rides along. -async fn appends_and_rewrites(cur: &Dataset, from: u64, to: u64) -> Option { - if to <= from || to - from > MAX_TRANSACTION_WALK { - return None; +/// Atomically replace all fragments of a materialized view with a complete +/// query result. This is shared with Sophon's SQL refresh job. +pub async fn replace_materialized_view_fragments( + view: &Table, + stream: SendableRecordBatchStream, +) -> Result { + let native = view.as_native().ok_or_else(|| Error::NotSupported { + message: "materialized views are supported only on local tables".into(), + })?; + native.dataset.ensure_mutable()?; + let lock = refresh_lock(native.dataset.get().await?.uri()); + let _guard = lock.lock().await; + native.dataset.reload().await?; + let dataset = native.dataset.get().await?.as_ref().clone(); + if super::read_definition_sql(&dataset.schema().metadata)?.is_none() { + return Err(Error::NotAMaterializedView { + name: view.name().to_string(), + }); } - let mut delta = TxnDelta { - rewritten: HashSet::new(), - produced: HashSet::new(), - deleted_rows: false, - updated_rows: false, - updated_in_place: HashSet::new(), + let committed = replace_fragments(dataset, stream).await?; + let version = committed.version().version; + native.dataset.update(committed); + Ok(version) +} + +async fn replace_fragments(dataset: Dataset, stream: SendableRecordBatchStream) -> Result { + let dataset = Arc::new(dataset); + let read_version = dataset.version().version; + let removed_fragment_ids = dataset + .get_fragments() + .iter() + .map(|fragment| fragment.id() as u64) + .collect(); + let write = InsertBuilder::new(WriteDestination::Dataset(dataset.clone())) + .with_params(&WriteParams { + mode: WriteMode::Append, + ..Default::default() + }) + .execute_uncommitted_stream(stream) + .await?; + let Operation::Append { + fragments: new_fragments, + } = write.operation + else { + return Err(Error::Runtime { + message: "expected an append while staging replacement rows".into(), + }); }; - for version in (from + 1)..=to { - let Ok(Some(txn)) = cur.read_transaction_by_version(version).await else { - return None; - }; - match txn.operation { - Operation::Append { .. } | Operation::ReserveFragments { .. } => {} - // A delete removes source rows without changing the ones that - // remain, so the view's other rows stay valid: the refresh - // evicts exactly the ids that left. - Operation::Delete { .. } => delta.deleted_rows = true, - // Update outputs carry no new rows, so they are excluded from - // the append set like rewrite outputs; the changed rows are - // replaced individually below. + let inserted_rows_filter = refresh_conflict_filter(&dataset)?; + let committed = CommitBuilder::new(WriteDestination::Dataset(dataset)) + .execute(Transaction::new( + read_version, Operation::Update { removed_fragment_ids, + updated_fragments: Vec::new(), new_fragments, - updated_fragments, - .. - } => { - delta.updated_rows = true; - // merge_insert reaches here too, and its by-source arm deletes - // rows rather than changing them. - delta.deleted_rows = true; - delta.rewritten.extend(removed_fragment_ids.iter().copied()); - // Only pre-existing fragment ids are real here; created ones - // are placeholders. Rewritten rows are excluded by creation - // version below, not by fragment identity. - delta - .produced - .extend(updated_fragments.iter().map(|f| f.id)); - delta - .updated_in_place - .extend(updated_fragments.iter().map(|f| f.id)); - let _ = new_fragments; - } - Operation::Rewrite { groups, .. } => { - for group in groups { - delta - .rewritten - .extend(group.old_fragments.iter().map(|f| f.id)); - delta - .produced - .extend(group.new_fragments.iter().map(|f| f.id)); - } - } - _ => return None, - } + fields_modified: Vec::new(), + compacted_sstables: Vec::new(), + fields_for_preserving_frag_bitmap: Vec::new(), + update_mode: None, + inserted_rows_filter: Some(inserted_rows_filter), + updated_fragment_offsets: None, + }, + None, + )) + .await?; + if committed.version().version != read_version + 1 { + return Err(Error::Runtime { + message: format!( + "a concurrent commit raced this refresh (view version {}, expected {})", + committed.version().version, + read_version + 1 + ), + }); } - Some(delta) + Ok(committed) } -/// Fallback pure-append check: every old fragment still present with an -/// identical signature over the columns the view reads. Compaction, deletes -/// and updates each break it and force a rebuild; a change to a column the -/// view does not read leaves it alone, which is what lets this tier pass -/// deltas the transaction walk cannot. -fn is_pure_append(old: &Dataset, cur: &Dataset, relevant: &HashSet) -> bool { - let signature = |fragment: &lance::dataset::fragment::FileFragment| { - fragment_signature(fragment.metadata(), relevant) - }; - let current: HashSet<(u64, String)> = cur.get_fragments().iter().map(signature).collect(); - old.get_fragments() - .iter() - .all(|fragment| current.contains(&signature(fragment))) +const REFRESH_TOKEN_ID: u64 = u64::MAX; + +fn refresh_conflict_filter(dataset: &Dataset) -> Result { + let field_id = dataset + .schema() + .fields + .first() + .map(|field| field.id) + .ok_or_else(|| Error::Runtime { + message: "a materialized view must have at least one field".into(), + })?; + let mut filter = KeyExistenceFilterBuilder::new(vec![field_id]); + filter + .insert(KeyValue::UInt64(REFRESH_TOKEN_ID)) + .map_err(|error| Error::Runtime { + message: format!( + "failed to build the materialized-view refresh conflict filter: {error}" + ), + })?; + Ok(filter.build()) } -/// A fragment's identity as the view observes it: data files and overlays -/// touching the columns it reads, plus the deletion file. Overlays change no -/// file path, so they must be part of the signature. -fn fragment_signature(metadata: &Fragment, relevant: &HashSet) -> (u64, String) { - let touches_relevant = - |fields: &[i32]| relevant.is_empty() || fields.iter().any(|id| relevant.contains(id)); - let mut files: Vec<&str> = metadata - .files - .iter() - .filter(|file| touches_relevant(&file.fields)) - .map(|file| file.path.as_str()) - .collect(); - files.sort_unstable(); - let mut overlays: Vec = metadata - .overlays - .iter() - .filter(|overlay| touches_relevant(&overlay.data_file.fields)) - .map(|overlay| format!("{}@{}", overlay.data_file.path, overlay.committed_version)) - .collect(); - overlays.sort_unstable(); - ( - metadata.id, - format!( - "{}|{}|{:?}", - files.join(","), - overlays.join(","), - metadata.deletion_file - ), - ) -} - -/// Field ids (with struct descendants) of the source columns the view reads. -fn relevant_field_ids(source: &Dataset, inputs: &[String]) -> HashSet { - fn collect(field: &lance_core::datatypes::Field, ids: &mut HashSet) { - ids.insert(field.id); - for child in &field.children { - collect(child, ids); - } - } - let mut ids = HashSet::new(); - for input in inputs { - if let Some(field) = source.schema().field(input) { - collect(field, &mut ids); - } - } - ids -} - -/// Whether two plannings of a view compute the same rows and columns: the -/// same source, unnest and limit, and expressions the planner reads as the -/// same logical expression, whatever their spelling. A definition that does -/// not plan compares as different. -fn same_meaning( - source_schema: &SchemaRef, - stored: &MaterializedViewDefinition, - replanned: &MaterializedViewDefinition, - unnest: Option<&super::ViewUnnest>, -) -> bool { - if stored.source_table != replanned.source_table - || stored.source_namespace != replanned.source_namespace - || stored.lateral != replanned.lateral - || stored.limit != replanned.limit - || stored.projections.len() != replanned.projections.len() - || stored.filter.is_some() != replanned.filter.is_some() - || stored.group_by.len() != replanned.group_by.len() - { - return false; - } - // Lance's planner does not read aggregates; a grouped definition is - // compared in its canonical spelling, which planning produced. - if stored.is_grouped() { - return stored.projections == replanned.projections - && stored.group_by == replanned.group_by - && stored.filter == replanned.filter; - } - let schema = match unnest { - None => source_schema.clone(), - Some(unnest) => match super::flattened_schema(source_schema, unnest) { - Ok(schema) => schema, - Err(_) => return false, - }, - }; - let planner = Planner::new(schema); - let same_expr = |a: &str, b: &str| match (planner.parse_expr(a), planner.parse_expr(b)) { - (Ok(a), Ok(b)) => a == b, - _ => false, - }; - stored - .projections - .iter() - .zip(&replanned.projections) - .all(|(a, b)| a.output == b.output && same_expr(&a.expression, &b.expression)) - && match (&stored.filter, &replanned.filter) { - (Some(a), Some(b)) => same_expr(a, b), - _ => true, - } -} - -/// Reject MemWAL/LSM state on a refresh participant: un-compacted tiers are -/// invisible to the fragment-planned refresh scan. An active write spec and -/// retained rows both disqualify; shard directories on storage are the -/// durable evidence of the latter. +/// Reject MemWAL/LSM state because an ordinary dataset scan cannot see its +/// un-compacted tiers. pub(crate) async fn ensure_no_mem_wal(dataset: &Dataset, role: &str, name: &str) -> Result<()> { let retained = !dataset.list_mem_wal_latest_shard_ids().await?.is_empty(); if retained || dataset.mem_wal_index_details().await?.is_some() { return Err(Error::NotSupported { - message: format!( - "{role} '{name}' has an LSM write spec or retained un-compacted \ - rows: rows in un-compacted tiers are invisible to refresh" - ), + message: format!("{role} '{name}' has an LSM write spec or retained un-compacted rows"), }); } Ok(()) } -/// The table refresh scans: the staging table when the query calls a -/// Function in FROM position, otherwise the query's source. -pub(super) async fn open_source( - view: &Table, - definition: &MaterializedViewDefinition, - staging: Option<&super::StagingBinding>, -) -> Result { +async fn open_source(view: &Table, definition: &MaterializedViewDefinition) -> Result { let database = view.database_opt().ok_or_else(|| Error::InvalidInput { message: "the view was not opened through a database connection".into(), })?; - let (name, namespace_path) = match staging { - Some(staging) => (staging.table.clone(), staging.namespace.clone()), - None => ( - definition.source_table.clone(), - definition.source_namespace.clone(), - ), - }; let source = database .open_table(OpenTableRequest { - name, - namespace_path, + name: definition.source_table.clone(), + namespace_path: definition.source_namespace.clone(), index_cache_size: None, lance_read_params: None, location: None, @@ -747,584 +318,7 @@ pub(super) async fn open_source( let native = source.as_native().ok_or_else(|| Error::NotSupported { message: "materialized views are supported only on local tables".into(), })?; - let dataset = native.dataset.get().await?.as_ref().clone(); - if definition.vector_source.is_none() && !dataset.manifest.uses_stable_row_ids() { - return Err(Error::InvalidInput { - message: format!( - "source table '{}' does not have stable row ids; it is not the \ - table this view was declared over", - definition.source_table - ), - }); - } - Ok(dataset) -} - -#[allow(clippy::too_many_arguments)] -async fn incremental( - view_native: &NativeTable, - view_ds: &Dataset, - source_ds: &Dataset, - source_version: u64, - source_ts: u128, - increment: Increment, - definition: &MaterializedViewDefinition, - inputs: &[String], - unnest: Option<&super::ViewUnnest>, - persist: Option<&MaterializedViewDefinition>, - watermark: Option, - expected_incarnation: Option<&str>, -) -> Result> { - let new_fragments = increment.appended; - let watermark_version = watermark.unwrap_or(0); - // Provenance ids this refresh removes: dropped rows, plus changed rows - // recomputed in the same commit. One view row per source row makes the - // eviction exact. Staged, not committed: removals ride with the rows - // that replace them, so a reader never sees the view without either. - let mut eviction = Eviction::new(view_ds, EVICTION_CHUNK); - let mut updated_rows = false; - if (increment.evict_deleted || increment.replace_updated) - && let Some(watermark) = watermark - { - let delta = source_ds - .delta() - .with_begin_version(watermark) - .with_end_version(source_version) - .build()?; - // Reconciling holds the delta's provenance ids in staged deletion - // vectors; past the cap, the streamed rebuild is the bounded path. - let cap = eviction_rebuild_cap(); - let mut evicted = 0usize; - if increment.evict_deleted { - let mut stream = delta.get_deleted_row_ids().await?; - while let Some(batch) = stream.try_next().await? { - let ids = row_ids_of(&batch)?; - evicted += ids.len(); - if evicted > cap { - return Ok(None); - } - eviction.push(ids).await?; - } - } - if increment.replace_updated { - // Ids only: `get_updated_rows` carries every column of every - // updated row, and discovery needs none of them. - let mut scanner = source_ds.scan(); - scanner.with_row_id().project(&[ROW_CREATED_AT_VERSION])?; - // A fixed bound: the configured default could make one discovery - // batch arbitrarily large before the fallback cap is consulted. - scanner.batch_size(8192); - scanner.filter(&format!( - "{ROW_CREATED_AT_VERSION} <= {watermark} - AND {ROW_LAST_UPDATED_AT_VERSION} > {watermark} - AND {ROW_LAST_UPDATED_AT_VERSION} <= {source_version}" - ))?; - let mut stream = scanner.try_into_stream().await?; - while let Some(batch) = stream.try_next().await? { - let ids = row_ids_of(&batch)?; - evicted += ids.len(); - if evicted > cap { - return Ok(None); - } - updated_rows |= !ids.is_empty(); - eviction.push(ids).await?; - } - } - } - let eviction = eviction.finish().await?; - - // The cap counts rows already materialized, in first-materialized order. - let remaining = match definition.limit { - Some(limit) => { - let held = view_ds.count_rows(None).await? as u64; - Some(limit.saturating_sub(held)) - } - None => None, - }; - - let mut result = RefreshMaterializedViewResult { - mode: RefreshMode::Incremental, - rows_written: 0, - source_version, - version: view_ds.version().version, - }; - let nothing_to_add = (new_fragments.is_empty() && !updated_rows) || remaining == Some(0); - if nothing_to_add && eviction.is_none() { - result.version = stamp_watermark( - view_native, - view_ds.clone(), - source_version, - source_ts, - persist, - expected_incarnation, - ) - .await?; - return Ok(Some(result)); - } - // Rows left but none arrive: the removals still have to be published. - if nothing_to_add { - let filter = refresh_filter(&empty_keys(view_ds)?)?; - let published = publish( - view_ds, - eviction, - Vec::new(), - Some(filter), - expected_incarnation, - ) - .await?; - result.version = stamp_watermark( - view_native, - published, - source_version, - source_ts, - persist, - expected_incarnation, - ) - .await?; - return Ok(Some(result)); - } - - // Appends carry the view's schema as it stands; the watermark moves in a - // follow-up commit (see the module docs for the crash window). - let schema = Arc::new(ArrowSchema::from(view_ds.schema())); - let rows_written = Arc::new(AtomicU64::new(0)); - // compute_stream counts what it produces; the truncation below can drop - // some of that, so the written count comes from the tee instead. - let computed = Arc::new(AtomicU64::new(0)); - let mut stream = compute_stream( - source_ds, - definition, - inputs, - unnest, - RowScope { - fragments: Some(new_fragments), - // An update rewrites whole fragments, so a fragment new at head - // can hold rows the view already has. Their creation version - // does not change, so it -- not fragment identity -- says which - // rows are new. - created_after: increment.replace_updated.then_some(watermark_version), - limit: remaining, - ..Default::default() - }, - schema.clone(), - computed.clone(), - ) - .await?; - - // The updated rows' current values, computed the same way and appended - // in the same commit as the new fragments' rows. - if updated_rows { - let recomputed = compute_stream( - source_ds, - definition, - inputs, - unnest, - RowScope { - updated_between: Some((watermark_version, source_version)), - ..Default::default() - }, - schema.clone(), - computed.clone(), - ) - .await?; - stream = Box::pin(RecordBatchStreamAdapter::new( - schema.clone(), - recomputed.chain(stream), - )); - } - - // Nothing survived the filter: the watermark still has to advance or the - // same fragments would be rescanned forever, but any removals still do. - let Some(first) = stream.try_next().await? else { - let published = if eviction.is_some() { - publish( - view_ds, - eviction, - Vec::new(), - Some(refresh_filter(&empty_keys(view_ds)?)?), - expected_incarnation, - ) - .await? - } else { - view_ds.clone() - }; - result.version = stamp_watermark( - view_native, - published, - source_version, - source_ts, - persist, - expected_incarnation, - ) - .await?; - return Ok(Some(result)); - }; - let stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new( - schema, - futures::stream::iter([Ok(first)]).chain(stream), - )); - - // Any two refreshes of one view must not both commit: the filter's - // shared token makes lance reject the loser on key overlap however - // their planned rows relate. - let keys = Arc::new(StdMutex::new(KeyExistenceFilterBuilder::new(vec![ - source_row_id_field_id(view_ds)?, - ]))); - let stream = collect_source_row_ids(stream, keys.clone(), rows_written.clone()); - - let ds = Arc::new(view_ds.clone()); - let write_txn = InsertBuilder::new(WriteDestination::Dataset(ds.clone())) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await?; - let Operation::Append { - fragments: new_fragments, - } = write_txn.operation - else { - return Err(Error::Runtime { - message: "expected an append when staging the view's new rows".into(), - }); - }; - let filter = refresh_filter(&keys)?; - let appended = publish( - view_ds, - eviction, - new_fragments, - Some(filter), - expected_incarnation, - ) - .await?; - result.rows_written = rows_written.load(Ordering::Relaxed); - result.version = stamp_watermark( - view_native, - appended, - source_version, - source_ts, - persist, - expected_incarnation, - ) - .await?; - Ok(Some(result)) -} - -#[allow(clippy::too_many_arguments)] -async fn rebuild( - view_native: &NativeTable, - view_ds: &Dataset, - source_ds: &Dataset, - source_version: u64, - source_ts: u128, - definition: &MaterializedViewDefinition, - inputs: &[String], - unnest: Option<&super::ViewUnnest>, - persist_definition: bool, - expected_incarnation: Option<&str>, -) -> Result { - let rows_written = Arc::new(AtomicU64::new(0)); - let schema = Arc::new(ArrowSchema::from(view_ds.schema())); - let stream = compute_stream( - source_ds, - definition, - inputs, - unnest, - RowScope { - limit: definition.limit, - ..Default::default() - }, - schema, - rows_written.clone(), - ) - .await?; - let keys = Arc::new(StdMutex::new(KeyExistenceFilterBuilder::new(vec![ - source_row_id_field_id(view_ds)?, - ]))); - let stream = collect_source_row_ids(stream, keys.clone(), Arc::new(AtomicU64::new(0))); - // Every rebuild is one fragment swap, indexed or not: an Update commit - // carries no schema metadata, so it cannot erase a definition update - // that raced in the way an overwrite (which adopts its stream's schema) - // durably would -- and it must land on the planned generation or abort. - let replaced = - replace_retaining_indices(view_ds.clone(), stream, keys, expected_incarnation).await?; - let version = stamp_watermark( - view_native, - replaced, - source_version, - source_ts, - persist_definition.then_some(definition), - expected_incarnation, - ) - .await?; - Ok(RefreshMaterializedViewResult { - mode: RefreshMode::Rebuild, - rows_written: rows_written.load(Ordering::Relaxed), - source_version, - version, - }) -} - -/// Replace all of the view's data in one commit that retains its index -/// definitions: new fragments staged uncommitted, one `Update` removing every -/// old fragment. `Update` prunes index bitmaps only for modified fields and -/// none are modified here, so readers never see the view unindexed or empty. -async fn replace_retaining_indices( - view_ds: Dataset, - stream: SendableRecordBatchStream, - keys: Arc>, - expected_incarnation: Option<&str>, -) -> Result { - let ds = Arc::new(view_ds); - let read_version = ds.version().version; - #[cfg(test)] - tests::hold_before_publish(ds.uri()).await; - ensure_incarnation(&ds, expected_incarnation, ds.uri()).await?; - let removed_fragment_ids: Vec = ds.get_fragments().iter().map(|f| f.id() as u64).collect(); - - let write_txn = InsertBuilder::new(WriteDestination::Dataset(ds.clone())) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await?; - let Operation::Append { - fragments: new_fragments, - } = write_txn.operation - else { - return Err(Error::Runtime { - message: "expected an append when staging the view's replacement rows".into(), - }); - }; - - // Built only now: the tee fills as the staging drains the stream. - let filter = refresh_filter(&keys)?; - let transaction = Transaction::new( - read_version, - Operation::Update { - removed_fragment_ids, - updated_fragments: Vec::new(), - new_fragments, - fields_modified: Vec::new(), - compacted_sstables: Vec::new(), - fields_for_preserving_frag_bitmap: Vec::new(), - update_mode: None, - // Two refreshes that materialized the same source rows must not - // both land -- a raced first rebuild would double the view. - inserted_rows_filter: Some(filter), - updated_fragment_offsets: None, - }, - None, - ); - let committed = CommitBuilder::new(WriteDestination::Dataset(ds)) - .execute(transaction) - .await?; - if committed.version().version != read_version + 1 { - return Err(Error::Runtime { - message: format!( - "a concurrent commit raced this refresh (view version {}); the - refresh is unrecorded and the next one will rebuild", - committed.version().version - ), - }); - } - Ok(committed) -} - -/// Record that the view now reflects `source_version`, including the view -/// Refuse to act on a view that is not `expected`'s incarnation, judged from -/// the latest stored manifest. Not a commit condition; see -/// `RefreshMaterializedViewBuilder::expect_incarnation`. -pub(super) async fn ensure_incarnation( - view_ds: &Dataset, - expected: Option<&str>, - what: &str, -) -> Result<()> { - let Some(expected) = expected else { - return Ok(()); - }; - let mut latest = view_ds.clone(); - latest.checkout_latest().await?; - match latest.schema().metadata.get(INCARNATION_META_KEY) { - Some(actual) if actual == expected => Ok(()), - Some(_) => Err(Error::Runtime { - message: format!( - "materialized view '{what}' is not the incarnation this refresh was \ - requested for: it was dropped and recreated" - ), - }), - None => Err(Error::Runtime { - message: format!( - "materialized view '{what}' carries no incarnation token: its schema \ - metadata was replaced since the token was captured" - ), - }), - } -} - -/// version this very commit produces. The version is predicted and then -/// verified; on a mismatch another commit raced in between, and the stamp -/// ABORTS rather than certify that commit as the refresh's own generation. -/// The view is left visibly unstamped, so the next refresh rebuilds. -pub(super) async fn stamp_watermark( - view_native: &NativeTable, - mut dataset: Dataset, - source_version: u64, - source_ts: u128, - definition: Option<&MaterializedViewDefinition>, - expected_incarnation: Option<&str>, -) -> Result { - ensure_incarnation(&dataset, expected_incarnation, dataset.uri()).await?; - let predicted = dataset.version().version + 1; - // A view with no token (declared before tokens existed, or its metadata - // replaced wholesale) starts a new incarnation here. - let incarnation = dataset - .schema() - .metadata - .get(INCARNATION_META_KEY) - .cloned() - .unwrap_or_else(|| uuid::Uuid::new_v4().to_string()); - let mut metadata = vec![(INCARNATION_META_KEY.to_string(), Some(incarnation))]; - if let Some(definition) = definition { - metadata.push(( - DEFINITION_META_KEY.to_string(), - Some(definition_to_metadata(definition)?), - )); - } - metadata.extend([ - ( - SOURCE_VERSION_META_KEY.to_string(), - Some(source_version.to_string()), - ), - ( - SOURCE_VERSION_TS_META_KEY.to_string(), - Some(source_ts.to_string()), - ), - ( - REFRESHED_AT_MS_META_KEY.to_string(), - Some(now_ms().to_string()), - ), - ( - VIEW_VERSION_META_KEY.to_string(), - Some(predicted.to_string()), - ), - ]); - dataset.update_schema_metadata(metadata).await?; - let actual = dataset.version().version; - if actual != predicted { - return Err(Error::Runtime { - message: format!( - "a concurrent commit raced this refresh (view version {actual}, \ - expected {predicted}); the refresh is unrecorded and the next \ - one will rebuild" - ), - }); - } - view_native.dataset.update(dataset); - Ok(predicted) -} - -fn now_ms() -> u128 { - SystemTime::now() - .duration_since(UNIX_EPOCH) - .unwrap_or_default() - .as_millis() -} - -/// Evaluate the definition over `source`, restricted to `fragments` when -/// given, as batches in the view's schema. The filter is pushed into the -/// scan; projections are `(name, expression)` pairs, never spliced into SQL; -/// [`SOURCE_ROW_ID_COLUMN`] is filled by the scan's row id. -/// Which source rows a compute pass reads. -#[derive(Default)] -struct RowScope { - /// Read only these fragments. - fragments: Option>, - /// Read only rows created after this version. - created_after: Option, - /// Read only rows changed in place after the first version and no later - /// than the second. - updated_between: Option<(u64, u64)>, - /// Stop after this many rows. - limit: Option, -} - -/// Whether every commit on the view after `recorded` is a fill of its -/// computed columns: a column rewrite or data replacement touching only -/// those fields and neither adding nor removing rows, or the freshness -/// stamp a fill leaves on them. A version whose transaction cannot be read -/// is not proven, so it counts as drift. -async fn only_computed_rewrites_since(view_ds: &Dataset, recorded: u64) -> Result { - // A fill may write any field under a computed column, so the whole - // subtree counts, not only the root. - let physical = ArrowSchema::from(view_ds.schema()); - fn subtree(field: &lance_core::datatypes::Field, ids: &mut Vec) { - ids.push(field.id as u32); - for child in &field.children { - subtree(child, ids); - } - } - let mut computed_fields = Vec::new(); - for column in computed_columns(&physical) { - if let Some(field) = view_ds.schema().field(&column.name) { - subtree(field, &mut computed_fields); - } - } - if computed_fields.is_empty() { - return Ok(false); - } - for version in recorded + 1..=view_ds.version().version { - let Some(transaction) = view_ds.read_transaction_by_version(version).await? else { - return Ok(false); - }; - let fill = match &transaction.operation { - Operation::Update { - removed_fragment_ids, - new_fragments, - fields_modified, - update_mode: Some(UpdateMode::RewriteColumns), - .. - } => { - removed_fragment_ids.is_empty() - && new_fragments.is_empty() - && !fields_modified.is_empty() - && fields_modified - .iter() - .all(|field| computed_fields.contains(field)) - } - // What `refresh_column` commits for a SQL declaration. - Operation::DataReplacement { replacements } => { - !replacements.is_empty() - && replacements.iter().all(|group| { - !group.1.fields.is_empty() - && group - .1 - .fields - .iter() - .all(|field| computed_fields.contains(&(*field as u32))) - }) - } - // The stamp `refresh_column` writes after its fill (see - // `table::freshness`): field metadata on computed columns, no data. - Operation::UpdateConfig { - config_updates: None, - table_metadata_updates: None, - schema_metadata_updates: None, - field_metadata_updates, - } => { - !field_metadata_updates.is_empty() - && field_metadata_updates - .keys() - .all(|field| computed_fields.contains(&(*field as u32))) - } - _ => false, - }; - if !fill { - return Ok(false); - } - } - Ok(true) + Ok(native.dataset.get().await?.as_ref().clone()) } async fn compute_stream( @@ -1332,58 +326,23 @@ async fn compute_stream( definition: &MaterializedViewDefinition, inputs: &[String], unnest: Option<&super::ViewUnnest>, - scope: RowScope, schema: SchemaRef, rows_written: Arc, ) -> Result { if definition.is_grouped() { return super::grouped::stream(source, definition, inputs, schema, rows_written).await; } - let RowScope { - fragments, - created_after, - updated_between, - limit, - } = scope; let mut scanner = source.scan(); - if let Some(fragments) = fragments { - scanner.with_fragments(fragments); + if let Some(filter) = definition.filter.as_deref().filter(|_| unnest.is_none()) { + scanner.filter(filter)?; } - scanner.with_row_id(); - // Narrowing keeps the definition's filter, so a row updated out of the - // view simply does not come back. Changed rows are named by the predicate - // `DatasetDelta::get_updated_rows` uses, not its streamed ids: an id list - // grows with the delta, this does not. - let updated_filter = updated_between.map(|(from, to)| { - format!( - "{ROW_CREATED_AT_VERSION} <= {from} \ - AND {ROW_LAST_UPDATED_AT_VERSION} > {from} \ - AND {ROW_LAST_UPDATED_AT_VERSION} <= {to}" - ) - }); - let created_filter = - created_after.map(|version| format!("{ROW_CREATED_AT_VERSION} > {version}")); - let clauses: Vec = definition - .filter - .clone() - .filter(|_| unnest.is_none()) - .map(|f| format!("({f})")) - .into_iter() - .chain(updated_filter) - .chain(created_filter) - .collect(); - if !clauses.is_empty() { - scanner.filter(&clauses.join(" AND "))?; - } - // An expanded view cannot project or filter in the scan: both read the - // unnested element, which exists only after the per-batch expansion. let expanded = match unnest { Some(unnest) => Some(UnnestPlan::new(source, definition, inputs, unnest)?), None => { let transforms: Vec<(&str, &str)> = definition .projections .iter() - .map(|p| (p.output.as_str(), p.expression.as_str())) + .map(|projection| (projection.output.as_str(), projection.expression.as_str())) .collect(); scanner.project_with_transform(&transforms)?; None @@ -1392,54 +351,43 @@ async fn compute_stream( if let Some(expanded) = &expanded { scanner.project(&expanded.raw_inputs)?; } - // A scan reads a limit of zero as no limit at all, so a view capped at - // nothing is answered without one. - if limit == Some(0) { + if definition.limit == Some(0) { return Ok(Box::pin(RecordBatchStreamAdapter::new( - schema.clone(), + schema, futures::stream::empty(), ))); } - if let Some(limit) = limit { + if let Some(limit) = definition.limit { let limit = i64::try_from(limit).map_err(|_| Error::InvalidInput { message: format!("view limit {limit} exceeds the maximum of {}", i64::MAX), })?; scanner.limit(Some(limit), None)?; } - - let out_schema = schema.clone(); + let output_schema = schema.clone(); let mapped = scanner.try_into_stream().await?.map(move |batch| { - let batch = batch.map_err(|e| DataFusionError::External(Box::new(e)))?; + let batch = batch.map_err(|error| DataFusionError::External(Box::new(error)))?; let batch = match &expanded { - None => batch, Some(expanded) => expanded.apply(&batch)?, + None => batch, }; - let batch = to_view_batch(&batch, &out_schema)?; + let batch = to_view_batch(&batch, &output_schema)?; rows_written.fetch_add(batch.num_rows() as u64, Ordering::Relaxed); Ok(batch) }); Ok(Box::pin(RecordBatchStreamAdapter::new(schema, mapped))) } -/// `batch` in the view's physical schema: the row id becomes the -/// provenance column and computed columns are written NULL for their owner -/// to fill. pub(super) fn to_view_batch( batch: &RecordBatch, - out_schema: &SchemaRef, + output_schema: &SchemaRef, ) -> datafusion::common::Result { - let mut columns = Vec::with_capacity(out_schema.fields().len()); - for field in out_schema.fields() { + let mut columns = Vec::with_capacity(output_schema.fields().len()); + for field in output_schema.fields() { if computed_column_from_field(field).is_some() { columns.push(new_null_array(field.data_type(), batch.num_rows())); continue; } - let name = if field.name() == SOURCE_ROW_ID_COLUMN { - ROW_ID - } else { - field.name() - }; - let column = batch.column_by_name(name).ok_or_else(|| { + let column = batch.column_by_name(field.name()).ok_or_else(|| { DataFusionError::Internal(format!( "view column '{}' is not produced by the view's definition", field.name() @@ -1447,13 +395,9 @@ pub(super) fn to_view_batch( })?; columns.push(column.clone()); } - Ok(RecordBatch::try_new(out_schema.clone(), columns)?) + Ok(RecordBatch::try_new(output_schema.clone(), columns)?) } -/// The post-scan half of an unnested view's refresh: the scan reads -/// `raw_inputs` plus the row id, and each batch is unnested on the list -/// column, filtered, then projected by expressions typed against -/// `read_schema`, where the element sits under the alias. struct UnnestPlan { column: String, raw_inputs: Vec, @@ -1469,7 +413,6 @@ impl UnnestPlan { inputs: &[String], unnest: &super::ViewUnnest, ) -> Result { - // Whole root columns: a nested input is projected by the expression. let mut raw_inputs: Vec = inputs .iter() .map(|input| super::root(input).to_string()) @@ -1478,9 +421,7 @@ impl UnnestPlan { raw_inputs.sort(); raw_inputs.dedup(); let flattened = super::flattened_schema(&ArrowSchema::from(source.schema()), unnest)?; - // Physical expressions index columns by position, so the schema is - // exactly the scan's output: `raw_inputs` in order, then the row id. - let mut read_fields = Vec::with_capacity(raw_inputs.len() + 1); + let mut read_fields = Vec::with_capacity(raw_inputs.len()); for name in &raw_inputs { let name = if *name == unnest.column { &unnest.alias @@ -1494,25 +435,27 @@ impl UnnestPlan { })?; read_fields.push(field.clone()); } - read_fields.push(ArrowField::new(ROW_ID, DataType::UInt64, false)); let read_schema = Arc::new(ArrowSchema::new(read_fields)); let planner = Planner::new(read_schema.clone()); let physical = |what: &str, sql: &str| -> Result> { - let err = |e: lance::Error| Error::Runtime { - message: format!("{what}: {e}"), + let error = |error: lance::Error| Error::Runtime { + message: format!("{what}: {error}"), }; - let parsed = planner.parse_expr(sql).map_err(err)?; - let optimized = planner.optimize_expr(parsed).map_err(err)?; - planner.create_physical_expr(&optimized).map_err(err) + let parsed = planner.parse_expr(sql).map_err(error)?; + let optimized = planner.optimize_expr(parsed).map_err(error)?; + planner.create_physical_expr(&optimized).map_err(error) }; - let mut projections = Vec::with_capacity(definition.projections.len()); - for projection in &definition.projections { - let expr = physical( - &format!("view column '{}'", projection.output), - &projection.expression, - )?; - projections.push((projection.output.clone(), expr)); - } + let projections = definition + .projections + .iter() + .map(|projection| { + physical( + &format!("view column '{}'", projection.output), + &projection.expression, + ) + .map(|expression| (projection.output.clone(), expression)) + }) + .collect::>()?; let filter = definition .filter .as_deref() @@ -1529,8 +472,7 @@ impl UnnestPlan { fn apply(&self, batch: &RecordBatch) -> datafusion::common::Result { let unnested = unnest_batch(batch, &self.column) - .map_err(|e| DataFusionError::External(Box::new(e)))?; - // Same columns, renamed: the list column is now the element under the alias. + .map_err(|error| DataFusionError::External(Box::new(error)))?; let unnested = RecordBatch::try_new(self.read_schema.clone(), unnested.columns().to_vec())?; let unnested = match &self.filter { None => unnested, @@ -1544,25 +486,20 @@ impl UnnestPlan { arrow_select::filter::filter_record_batch(&unnested, keep)? } }; - let mut columns = Vec::with_capacity(self.projections.len() + 1); - for (output, expr) in &self.projections { - let value = expr.evaluate(&unnested)?.into_array(unnested.num_rows())?; - columns.push((output.clone(), value)); - } - let row_id = unnested - .column_by_name(ROW_ID) - .expect("scan carries the row id") - .clone(); - columns.push((ROW_ID.to_string(), row_id)); + let columns = self + .projections + .iter() + .map(|(output, expression)| { + expression + .evaluate(&unnested)? + .into_array(unnested.num_rows()) + .map(|value| (output.clone(), value)) + }) + .collect::>>()?; Ok(RecordBatch::try_from_iter(columns)?) } } -/// Expand `list_column` one row per element, repeating every other column -/// for each element; an empty or null list contributes no rows. The list -/// column is replaced by its element type, so a projection reads the -/// element's fields as `alias.field` after this. This is the row-cardinality -/// step of an `expanded_select` view, applied per batch on the scan stream. fn unnest_batch(batch: &RecordBatch, list_column: &str) -> Result { use arrow_array::{Array, ListArray, UInt32Array}; use arrow_select::take::take; @@ -1583,30 +520,24 @@ fn unnest_batch(batch: &RecordBatch, list_column: &str) -> Result { batch.column(list_index).data_type() ), })?; - - // One take index per element, naming the source row it came from. A null - // list has no elements; its offsets are equal, so it repeats nothing. let offsets = list.value_offsets(); let mut repeat = Vec::with_capacity(list.values().len()); for row in 0..list.len() { if list.is_valid(row) { - let count = (offsets[row + 1] - offsets[row]) as usize; - repeat.extend(std::iter::repeat_n(row as u32, count)); + repeat.extend(std::iter::repeat_n( + row as u32, + (offsets[row + 1] - offsets[row]) as usize, + )); } } let repeat = UInt32Array::from(repeat); - // The flattened elements, in the same order as `repeat`: only the ranges - // valid rows cover, so a null row's stale range (if any) is skipped. - let elements = { - let mut ranges = Vec::new(); - for row in 0..list.len() { - if list.is_valid(row) { - ranges.extend((offsets[row] as u32)..(offsets[row + 1] as u32)); - } + let mut ranges = Vec::new(); + for row in 0..list.len() { + if list.is_valid(row) { + ranges.extend((offsets[row] as u32)..(offsets[row + 1] as u32)); } - take(list.values().as_ref(), &UInt32Array::from(ranges), None)? - }; - + } + let elements = take(list.values().as_ref(), &UInt32Array::from(ranges), None)?; let mut fields = Vec::with_capacity(batch.num_columns()); let mut columns = Vec::with_capacity(batch.num_columns()); for (index, field) in batch.schema().fields().iter().enumerate() { @@ -1636,3168 +567,38 @@ fn unnest_batch(batch: &RecordBatch, list_column: &str) -> Result { Ok(RecordBatch::try_new(schema, columns)?) } -/// Commit the view's removals and additions as one change, on the exact -/// generation the refresh planned from. Lance rejects an overlapping -/// provenance key, but an unrelated write to the view is not a key conflict, -/// so the generation is checked here too. -async fn publish( - view_ds: &Dataset, - eviction: Option<(Vec, Vec)>, - new_fragments: Vec, - keys: Option, - expected_incarnation: Option<&str>, -) -> Result { - let planned = view_ds.version().version; - #[cfg(test)] - tests::hold_before_publish(view_ds.uri()).await; - #[cfg(test)] - tests::hold_until_peers_planned(); - ensure_incarnation(view_ds, expected_incarnation, view_ds.uri()).await?; - let (updated_fragments, removed_fragment_ids) = eviction.unwrap_or_default(); - let committed = CommitBuilder::new(WriteDestination::Dataset(Arc::new(view_ds.clone()))) - .execute(Transaction::new( - planned, - Operation::Update { - removed_fragment_ids, - updated_fragments, - new_fragments, - fields_modified: Vec::new(), - compacted_sstables: Vec::new(), - fields_for_preserving_frag_bitmap: Vec::new(), - update_mode: None, - inserted_rows_filter: keys, - updated_fragment_offsets: None, - }, - None, - )) - .await?; - if committed.version().version != planned + 1 { - return Err(Error::Runtime { - message: format!( - "a concurrent commit raced this refresh (view version {}); - the refresh is unrecorded and the next one will rebuild", - committed.version().version - ), - }); - } - Ok(committed) -} - -/// A delta batch's row id column, borrowed: a delta batch is as large as one -/// fragment's deletions, so copying it out would be the unbounded step the -/// chunking exists to avoid. -fn row_ids_of(batch: &RecordBatch) -> Result<&UInt64Array> { - let column = batch.column_by_name(ROW_ID).ok_or_else(|| Error::Runtime { - message: format!("'{ROW_ID}' is missing from a delta batch"), - })?; - column - .as_primitive_opt::() - .ok_or_else(|| Error::Runtime { - message: "row ids are not UInt64".into(), - }) -} - -/// A provenance id no source row can hold, carried in every refresh's -/// inserted-rows filter: any two refreshes of one view overlap on it, so -/// the loser of a race conflicts at commit whatever rows each planned. -const REFRESH_TOKEN_ID: u64 = u64::MAX; - -/// A builder with no collected keys, for publishes that only remove rows. -fn empty_keys(view_ds: &Dataset) -> Result>> { - Ok(Arc::new(StdMutex::new(KeyExistenceFilterBuilder::new( - vec![source_row_id_field_id(view_ds)?], - )))) -} - -/// An inserted-rows filter holding the refresh token plus whatever the -/// tee collected. -fn refresh_filter(keys: &Arc>) -> Result { - let mut keys = keys.lock().map_err(|_| Error::Runtime { - message: "the provenance key filter was poisoned mid-refresh".into(), - })?; - keys.insert(KeyValue::UInt64(REFRESH_TOKEN_ID)) - .map_err(|e| Error::Runtime { - message: format!("failed to mark the refresh's filter: {e}"), - })?; - Ok(keys.build()) -} - -/// Reconciled ids past this fall back to the streamed rebuild, whose memory -/// does not grow with the delta. -fn eviction_rebuild_cap() -> usize { - #[cfg(test)] - if let Some(cap) = tests::eviction_cap_override() { - return cap; - } - 4 * 1024 * 1024 -} - -/// Provenance ids per staged eviction: the delete predicate carries one -/// literal per id, so a whole delta at once is unbounded. Each chunk costs a -/// pass over the view's provenance column, which is why it is not smaller. -const EVICTION_CHUNK: usize = 64 * 1024; - -/// Accumulates the view's removals from bounded chunks of provenance ids into -/// the one set of fragment changes the refresh publishes. -struct Eviction { - /// The view as the chunks staged so far leave it. A chunk's delete has to - /// see the deletion vectors the earlier ones wrote, or it stages a - /// fragment that drops them. - snapshot: Dataset, - chunk: usize, - updated: HashMap, - removed: Vec, - pending: Vec, - staged: bool, - /// Largest the buffer ever got, which is the bound under test. - #[cfg(test)] - peak: usize, -} - -impl Eviction { - fn new(view_ds: &Dataset, chunk: usize) -> Self { - Self { - snapshot: view_ds.clone(), - chunk, - updated: HashMap::new(), - removed: Vec::new(), - pending: Vec::with_capacity(chunk), - staged: false, - #[cfg(test)] - peak: 0, - } - } - - /// Fill a chunk at a time. Taking the batch whole and splitting it would - /// hold a fragment's worth of ids and recopy the tail per chunk. - async fn push(&mut self, ids: &UInt64Array) -> Result<()> { - for id in ids.values() { - self.pending.push(*id); - #[cfg(test)] - { - self.peak = self.peak.max(self.pending.len()); - } - if self.pending.len() == self.chunk { - self.flush().await?; - } - } - Ok(()) - } - - /// Stage what is buffered, keeping the buffer's allocation. - async fn flush(&mut self) -> Result<()> { - let mut chunk = std::mem::take(&mut self.pending); - let staged = self.stage(&chunk).await; - chunk.clear(); - self.pending = chunk; - staged - } - - /// The staged fragment changes, or `None` where nothing was evicted. - async fn finish(mut self) -> Result, Vec)>> { - if !self.pending.is_empty() { - self.flush().await?; - } - if !self.staged { - return Ok(None); - } - let mut updated: Vec = self.updated.into_values().collect(); - updated.sort_unstable_by_key(|f| f.id); - Ok(Some((updated, self.removed))) - } - - async fn stage(&mut self, ids: &[u64]) -> Result<()> { - let (updated, removed) = stage_eviction(&self.snapshot, ids).await?; - self.snapshot = advance(&self.snapshot, &updated); - for fragment in updated { - self.updated.insert(fragment.id, fragment); - } - self.removed.extend(removed); - self.staged = true; - Ok(()) - } -} - -/// The view as staged removals leave it, without committing them. Fragments -/// are replaced in place so the fragment bitmap stays in step; an emptied one -/// is left alone, since the delta names each provenance id only once. -fn advance(view_ds: &Dataset, updated: &[Fragment]) -> Dataset { - if updated.is_empty() { - return view_ds.clone(); - } - let by_id: HashMap = updated.iter().map(|f| (f.id, f)).collect(); - let fragments = view_ds - .manifest - .fragments - .iter() - .map(|f| by_id.get(&f.id).map_or_else(|| f.clone(), |u| (*u).clone())) - .collect(); - let mut manifest = view_ds.manifest.as_ref().clone(); - manifest.fragments = Arc::new(fragments); - let mut snapshot = view_ds.clone(); - snapshot.manifest = Arc::new(manifest); - snapshot -} - -/// The fragment changes that remove the view's rows for `ids`, staged rather -/// than committed so they can ride in the refresh's single data commit. -async fn stage_eviction(view_ds: &Dataset, ids: &[u64]) -> Result<(Vec, Vec)> { - // An expression rather than SQL text: the id list is a value here, not a - // predicate string that grows with the delta and has to be parsed. - let predicate = col(SOURCE_ROW_ID_COLUMN).in_list( - ids.iter() - .map(|id| lit(ScalarValue::UInt64(Some(*id)))) - .collect(), - false, - ); - let staged = DeleteBuilder::from_expr(Arc::new(view_ds.clone()), predicate) - .execute_uncommitted() - .await?; - let Operation::Delete { - updated_fragments, - deleted_fragment_ids, - .. - } = staged.transaction.operation - else { - return Err(Error::Runtime { - message: "expected a delete when staging the view's evictions".into(), - }); - }; - Ok((updated_fragments, deleted_fragment_ids)) -} - -fn source_row_id_field_id(view_ds: &Dataset) -> Result { - view_ds - .schema() - .field(SOURCE_ROW_ID_COLUMN) - .map(|f| f.id) - .ok_or_else(|| Error::Runtime { - message: format!("the view has no '{SOURCE_ROW_ID_COLUMN}' column"), - }) -} - -/// Tee the provenance ids of everything written into `keys`. -fn collect_source_row_ids( - stream: SendableRecordBatchStream, - keys: Arc>, - written: Arc, -) -> SendableRecordBatchStream { - let schema = stream.schema(); - let mapped = stream.map(move |batch| { - let batch = batch?; - let column = batch - .column_by_name(SOURCE_ROW_ID_COLUMN) - .ok_or_else(|| { - DataFusionError::Internal(format!( - "'{SOURCE_ROW_ID_COLUMN}' is missing from the rows being written" - )) - })? - .as_primitive_opt::() - .ok_or_else(|| { - DataFusionError::Internal(format!("'{SOURCE_ROW_ID_COLUMN}' is not a uint64")) - })?; - let mut keys = keys - .lock() - .map_err(|_| DataFusionError::Internal("provenance key filter poisoned".into()))?; - for id in column.values() { - keys.insert(KeyValue::UInt64(*id)) - .map_err(|e| DataFusionError::Internal(e.to_string()))?; - } - written.fetch_add(batch.num_rows() as u64, Ordering::Relaxed); - Ok(batch) - }); - Box::pin(RecordBatchStreamAdapter::new(schema, mapped)) -} - #[cfg(test)] -pub(crate) mod tests { - - /// Park a refresh between planning and publication so a test can move - /// the view underneath it. Inert unless [`DRIFT_TARGET`] names this view. - pub(in crate::materialized_view) async fn hold_before_publish(uri: &str) { - { - let mut target = DRIFT_TARGET.lock().unwrap(); - if target.as_deref() != Some(uri) { - return; - } - // Take it: memory:// uris are relative and repeat across tests, so - // leaving it armed would park an unrelated refresh forever. - *target = None; - } - DRIFT_PLANNED.notify_one(); - DRIFT_RELEASED.notified().await; - } - - /// The rendezvous below is one global pair, so the cases that use it run - /// one at a time rather than trading each other's signals. - pub(super) static EVICTION_CAP: StdMutex> = StdMutex::new(None); - pub(super) fn eviction_cap_override() -> Option { - *EVICTION_CAP.lock().unwrap() - } - - pub(in crate::materialized_view) static DRIFT_LOCK: tokio::sync::Mutex<()> = - tokio::sync::Mutex::const_new(()); - pub(in crate::materialized_view) static DRIFT_TARGET: StdMutex> = - StdMutex::new(None); - pub(in crate::materialized_view) static DRIFT_PLANNED: tokio::sync::Notify = - tokio::sync::Notify::const_new(); - pub(in crate::materialized_view) static DRIFT_RELEASED: tokio::sync::Notify = - tokio::sync::Notify::const_new(); - - /// Block until every participant in a cross-process race has planned and - /// staged its write, so the commits they then attempt genuinely contend - /// rather than depending on the scheduler to overlap them. Inert unless - /// `MV_RACE_SYNC` names a directory shared by the participants. - pub(super) fn hold_until_peers_planned() { - let (Ok(dir), Ok(tag), Ok(peers)) = ( - std::env::var("MV_RACE_SYNC"), - std::env::var("MV_RACE_TAG"), - std::env::var("MV_RACE_PEERS"), - ) else { - return; - }; - let dir = std::path::PathBuf::from(dir); - let peers: usize = peers.parse().unwrap(); - std::fs::write(dir.join(format!("planned-{tag}")), b"1").unwrap(); - let deadline = std::time::Instant::now() + std::time::Duration::from_secs(120); - while planned_count(&dir) < peers { - assert!( - std::time::Instant::now() < deadline, - "peers never reached the commit boundary" - ); - std::thread::sleep(std::time::Duration::from_millis(2)); - } - } - - fn planned_count(dir: &std::path::Path) -> usize { - std::fs::read_dir(dir) - .map(|entries| { - entries - .filter_map(|e| e.ok()) - .filter(|e| e.file_name().to_string_lossy().starts_with("planned-")) - .count() - }) - .unwrap_or(0) - } - use arrow_array::{Int32Array, record_batch}; - use futures::TryStreamExt; - use lance::dataset::NewColumnTransform; - use lance_file::version::LanceFileVersion; +mod tests { + use arrow_array::record_batch; + use datafusion::physical_plan::stream::RecordBatchStreamAdapter; use super::*; use crate::connect; - use crate::connection::Connection; - use crate::index::Index; - use crate::index::scalar::BTreeIndexBuilder; - use crate::materialized_view::MaterializedView; - use crate::query::{ExecutableQuery, QueryBase, Select}; - use crate::table::{CompactionOptions, OptimizeAction}; - - async fn db_with_source(values: Vec) -> (Connection, Table) { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!(("x", Int32, values)).unwrap(); - let table = conn - .create_table("src", batch) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - (conn, table) - } - - async fn doubled_view(conn: &Connection) -> MaterializedView { - conn.create_materialized_view("doubled", "src") - .with_no_data(true) - .select([("x", "x"), ("twice", "x * 2")]) - .execute() - .await - .unwrap() - } - - /// A refreshed doubled view over a source holding `values`. - async fn refreshed_doubled(values: Vec) -> (Connection, Table, MaterializedView) { - let (conn, source) = db_with_source(values).await; - let view = doubled_view(&conn).await; - view.refresh().execute().await.unwrap(); - (conn, source, view) - } - - /// The per-batch expansion behind an `expanded_select` view: every - /// element of the list column becomes a row, the other columns repeat - /// for each, and an empty or null list contributes no rows at all -- - /// which is exactly "zero rows out" for a table-valued function. - /// Four documents with a `list>` column named - /// `c`: doc 1 has two chunks, doc 2 none, doc 3 a null list, doc 4 one. - fn chunked_batch() -> RecordBatch { - use arrow_array::builder::{Int32Builder, ListBuilder, StringBuilder, StructBuilder}; - use arrow_array::{ArrayRef, Int64Array}; - use arrow_schema::{DataType, Field, Fields}; - - let element_fields = Fields::from(vec![ - Field::new("chunk", DataType::Utf8, true), - Field::new("ordinal", DataType::Int32, true), - ]); - let mut list = ListBuilder::new(StructBuilder::new( - element_fields, - vec![ - Box::new(StringBuilder::new()), - Box::new(Int32Builder::new()), - ], - )); - for chunks in [Some(vec!["a", "b"]), Some(vec![]), None, Some(vec!["c"])] { - match chunks { - Some(chunks) => { - for (i, c) in chunks.iter().enumerate() { - let s = list.values(); - s.field_builder::(0).unwrap().append_value(c); - s.field_builder::(1) - .unwrap() - .append_value(i as i32); - s.append(true); - } - list.append(true); - } - None => list.append(false), - } - } - let meta = arrow_array::StructArray::from(vec![( - Arc::new(Field::new("title", DataType::Utf8, true)), - Arc::new(arrow_array::StringArray::from(vec!["t1", "t2", "t3", "t4"])) as ArrayRef, - )]); - RecordBatch::try_from_iter(vec![ - ( - "id", - Arc::new(Int64Array::from(vec![1, 2, 3, 4])) as ArrayRef, - ), - ("meta", Arc::new(meta) as ArrayRef), - ("c", Arc::new(list.finish()) as ArrayRef), - ]) - .unwrap() - } - - #[test] - fn unnest_repeats_siblings_per_element_and_drops_empty_lists() { - use arrow_array::{StringArray, StructArray}; - use arrow_schema::{DataType, Field, Fields}; - - let batch = chunked_batch(); - let element_fields = Fields::from(vec![ - Field::new("chunk", DataType::Utf8, true), - Field::new("ordinal", DataType::Int32, true), - ]); - let out = unnest_batch(&batch, "c").unwrap(); - assert_eq!(out.num_rows(), 3, "{out:?}"); - let ids: Vec = out["id"] - .as_primitive::() - .values() - .to_vec(); - assert_eq!(ids, [1, 1, 4]); - let element = out["c"].as_any().downcast_ref::().unwrap(); - let chunks: Vec<&str> = element - .column(0) - .as_any() - .downcast_ref::() - .unwrap() - .iter() - .flatten() - .collect(); - assert_eq!(chunks, ["a", "b", "c"]); - let ordinals: Vec = element - .column(1) - .as_primitive::() - .values() - .to_vec(); - assert_eq!(ordinals, [0, 1, 0]); - // the element column is now the struct itself, not a list of it - assert_eq!( - out.schema().field_with_name("c").unwrap().data_type(), - &DataType::Struct(element_fields) - ); - } - - /// A Function in FROM position is refreshed from its staging table: the - /// query on the view stays the one the user wrote, the staging binding - /// says which table and list column refresh reads, and rows come out one - /// per element as with UNNEST. Without a staging, a local database - /// refuses the query rather than guess. - #[tokio::test] - async fn a_function_in_from_position_refreshes_from_its_staging() { - use arrow_array::StringArray; - - let conn = connect("memory://").execute().await.unwrap(); - let staging = conn - .create_table("docs__chunk", chunked_batch()) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - let query = - "SELECT id AS doc, e.chunk AS text, e.ordinal FROM docs, chunk(meta.title, 2) AS e"; - let definition = MaterializedViewDefinition::from_sql(query).unwrap(); - - let err = crate::materialized_view::prepare_definition(&staging, definition.clone()) - .await - .unwrap_err(); - assert!( - matches!(&err, Error::InvalidInput { message } if message.contains("reads 'docs'")), - "{err:?}" - ); - - let view = crate::materialized_view::prepare_staged_definition(&staging, definition, "c") - .await - .unwrap() - .create("chunks") - .await - .unwrap(); - assert_eq!(view.definition().to_sql(), query); - let metadata = view.table().schema().await.unwrap().metadata().clone(); - assert_eq!( - crate::materialized_view::read_staging(&metadata).unwrap(), - Some(crate::materialized_view::StagingBinding { - table: "docs__chunk".into(), - namespace: Vec::new(), - column: "c".into(), - }) - ); - - view.refresh().execute().await.unwrap(); - assert_eq!(read(view.table(), "ordinal").await, [0, 0, 1]); - let batches = view - .table() - .query() - .select(Select::columns(&["text"])) - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - let out = arrow_select::concat::concat_batches(&batches[0].schema(), &batches).unwrap(); - let texts: Vec<&str> = out["text"] - .as_any() - .downcast_ref::() - .unwrap() - .iter() - .flatten() - .collect(); - assert_eq!(texts, ["a", "b", "c"]); - - // The reopened view reads the same logical query and refreshes - // incrementally from the staging. - staging.add(chunked_batch()).execute().await.unwrap(); - let reopened = conn.open_materialized_view("chunks").await.unwrap(); - assert_eq!(reopened.definition().to_sql(), query); - let result = reopened.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(reopened.table(), "ordinal").await, [0, 0, 0, 0, 1, 1]); - } - - /// An expanded view materializes one row per list element, with the - /// projections reading the element through the alias and the other - /// source columns repeated alongside; sources with no elements yield - /// no rows. The lineage is the list column, so a change to it is what - /// drives incremental refresh. - #[tokio::test] - async fn an_expanded_view_materializes_one_row_per_element() { - use arrow_array::{Int64Array, StringArray}; - - let conn = connect("memory://").execute().await.unwrap(); - let source = conn - .create_table("docs", chunked_batch()) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - let mut view = crate::materialized_view::prepare_definition( - &source, - MaterializedViewDefinition::from_sql( - "SELECT id AS doc, meta.title AS title, e.ordinal + 1 AS nth \ - FROM docs, UNNEST(c) AS e WHERE e.ordinal < 5", - ) - .unwrap(), - ) - .await - .unwrap(); - // A computed column's input read through the alias is an element - // field; the recorded source input is the list column. - let text = view.input_column("e.chunk").unwrap(); - assert!(view.definition.lateral.is_some()); - let view = view.create("chunks").await.unwrap(); - view.refresh().execute().await.unwrap(); - - let batches = view - .table() - .query() - .select(Select::columns(&["doc", &text, "title"])) - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - let out = arrow_select::concat::concat_batches(&batches[0].schema(), &batches).unwrap(); - let docs: Vec = out["doc"] - .as_any() - .downcast_ref::() - .unwrap() - .values() - .to_vec(); - let strings = |column: &str| -> Vec { - out[column] - .as_any() - .downcast_ref::() - .unwrap() - .iter() - .flatten() - .map(str::to_string) - .collect() - }; - assert_eq!(docs, [1, 1, 4]); - assert_eq!(strings(&text), ["a", "b", "c"]); - assert_eq!(strings("title"), ["t1", "t1", "t4"]); - assert_eq!(read(view.table(), "nth").await, [1, 1, 2]); - - // Appended documents expand incrementally; the existing rows stay. - source.add(chunked_batch()).execute().await.unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!(read(view.table(), "nth").await, [1, 1, 1, 1, 2, 2]); - } - - async fn read(table: &Table, column: &str) -> Vec { - let batches = table - .query() - .select(Select::columns(&[column])) - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - let mut values: Vec = batches - .iter() - .flat_map(|batch| { - batch[column] - .as_any() - .downcast_ref::() - .unwrap() - .iter() - .flatten() - .collect::>() - }) - .collect(); - values.sort(); - values - } - - async fn append(table: &Table, values: Vec) { - let batch = record_batch!(("x", Int32, values)).unwrap(); - table.add(batch).execute().await.unwrap(); - } #[tokio::test] - async fn test_first_refresh_materializes_the_view() { - let (conn, _) = db_with_source(vec![1, 2, 3]).await; - let view = doubled_view(&conn).await; - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(result.rows_written, 3); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 6]); - - // The watermark survives on the stored schema, not just the handle. - let reopened = conn.open_materialized_view("doubled").await.unwrap(); - let again = reopened.refresh().execute().await.unwrap(); - assert_eq!(again.mode, RefreshMode::NoOp); - assert_eq!(again.rows_written, 0); - } - - #[tokio::test] - async fn test_filter_selects_the_source_rows() { - let (conn, _) = db_with_source(vec![1, 20, 3, 40]).await; - let view = conn - .create_materialized_view("big", "src") - .with_no_data(true) - .select([("x", "x")]) - .only_if("x > 10") + async fn raced_first_full_refresh_lands_one_result() { + let directory = tempfile::tempdir().unwrap(); + let connection = connect(directory.path().to_str().unwrap()) .execute() .await .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 2); - assert_eq!(read(view.table(), "x").await, vec![20, 40]); - } - - #[tokio::test] - async fn test_mixed_case_filter_is_canonicalized_for_lineage_and_refresh() { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!( - ("id", Int32, [1, 2, 3]), - ("PartyAbbrev", Utf8, ["D", "R", "D"]) - ) - .unwrap(); - conn.create_table("src", batch) - .write_options(crate::materialized_view::tests::stable_row_ids()) + let source_batch = record_batch!(("x", Int32, [1, 2, 3])).unwrap(); + connection + .create_table("src", source_batch.clone()) .execute() .await .unwrap(); - conn.create_materialized_view("democrats", "src") - .with_no_data(true) - .select([("id", "id")]) - .only_if(r#""PartyAbbrev" = 'D'"#) - .execute() - .await - .unwrap(); - - // Reopen from schema metadata so these assertions cover the stored - // predicate and lineage, not only the declaration-time handle. - let view = conn.open_materialized_view("democrats").await.unwrap(); - assert_eq!( - view.definition().filter.as_deref(), - Some("`PartyAbbrev` = 'D'") - ); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 2); - assert_eq!(read(view.table(), "id").await, vec![1, 3]); - } - - /// A legacy layout whose query means what the canonical one means is - /// rewritten in the current layout on the next refresh, without a - /// rebuild: the rows it certified are the rows the query produces. - #[tokio::test] - async fn a_legacy_layout_with_the_same_meaning_is_rewritten_without_a_rebuild() { - let (conn, source, view) = refreshed_doubled(vec![1]).await; - let legacy = serde_json::json!({ - "kind": "select", - "source_table": "src", - "projections": [ - {"output": "x", "expression": "`x`"}, - {"output": "twice", "expression": "x*2"}, - ], - "inputs": ["x"], - }) - .to_string(); - let native = view.table().as_native().unwrap(); - let mut dataset = native.dataset.get().await.unwrap().as_ref().clone(); - let predicted = dataset.version().version + 1; - dataset - .update_schema_metadata([ - (DEFINITION_META_KEY.to_string(), Some(legacy)), - ( - VIEW_VERSION_META_KEY.to_string(), - Some(predicted.to_string()), - ), - ]) - .await - .unwrap(); - native.dataset.update(dataset); - - append(&source, vec![2]).await; - let reopened = conn.open_materialized_view("doubled").await.unwrap(); - let result = reopened.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(reopened.table(), "twice").await, vec![2, 4]); - let stored: serde_json::Value = serde_json::from_str( - &reopened.table().schema().await.unwrap().metadata()[DEFINITION_META_KEY], - ) - .unwrap(); - assert_eq!( - stored, - serde_json::json!({ - "kind": "query", - "format": 1, - "query": "SELECT x, x * 2 AS twice FROM src", - }) - ); - } - - #[tokio::test] - async fn test_legacy_raw_filter_rebuilds_and_persists_canonical_definition() { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!( - ("id", Int32, [1, 2, 3]), - ("PartyAbbrev", Utf8, ["D", "R", "D"]) - ) - .unwrap(); - conn.create_table("legacy_src", batch) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - let view = conn - .create_materialized_view("legacy_view", "legacy_src") - .with_no_data(true) - .select([("id", "id")]) - .only_if(r#""PartyAbbrev" = 'X'"#) - .execute() - .await - .unwrap(); - assert_eq!(view.refresh().execute().await.unwrap().rows_written, 0); - - // Model a definition and up-to-date watermark written before filter - // canonicalization was applied to materialized views. - let legacy = serde_json::json!({ - "kind": "select", - "source_table": "legacy_src", - "projections": [{"output": "id", "expression": "id"}], - "filter": r#""PartyAbbrev" = 'D'"#, - "inputs": ["id"], - }) - .to_string(); - let native = view.table().as_native().unwrap(); - let mut dataset = native.dataset.get().await.unwrap().as_ref().clone(); - let predicted = dataset.version().version + 1; - dataset - .update_schema_metadata([ - (DEFINITION_META_KEY.to_string(), Some(legacy)), - ( - VIEW_VERSION_META_KEY.to_string(), - Some(predicted.to_string()), - ), - ]) - .await - .unwrap(); - native.dataset.update(dataset); - - let reopened = conn.open_materialized_view("legacy_view").await.unwrap(); - let result = reopened.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(result.rows_written, 2); - assert_eq!(read(reopened.table(), "id").await, vec![1, 3]); - - // A fresh handle proves the migration was stored alongside the new - // watermark and therefore happens only once. - let migrated = conn.open_materialized_view("legacy_view").await.unwrap(); - assert_eq!( - migrated.definition().filter.as_deref(), - Some("`PartyAbbrev` = 'D'") - ); - assert_eq!( - migrated.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - assert_eq!(read(migrated.table(), "id").await, vec![1, 3]); - } - - #[tokio::test] - async fn test_append_refreshes_incrementally() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2]).await; - - append(&source, vec![5]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 1); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 10]); - } - - #[tokio::test] - async fn test_incremental_applies_the_filter() { - let (conn, source) = db_with_source(vec![1, 20]).await; - let view = conn - .create_materialized_view("big", "src") - .with_no_data(true) - .select([("x", "x")]) - .only_if("x > 10") - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - - append(&source, vec![3, 30]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 1); - assert_eq!(read(view.table(), "x").await, vec![20, 30]); - } - - /// The watermark has to advance even when no appended row matches, or the - /// same fragments would be rescanned by every later refresh. - #[tokio::test] - async fn test_incremental_with_nothing_matching_advances_the_watermark() { - let (conn, source) = db_with_source(vec![20]).await; - let view = conn - .create_materialized_view("big", "src") - .with_no_data(true) - .select([("x", "x")]) - .only_if("x > 10") - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - - append(&source, vec![1, 2]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 0); - - let again = view.refresh().execute().await.unwrap(); - assert_eq!(again.mode, RefreshMode::NoOp); - } - - /// Unlike a computed column, a view reflects source mutation: an update - /// rebuilds rather than going stale. - #[tokio::test] - async fn test_update_replaces_the_rows_it_changed() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2, 3]).await; - - // An update changes rows in place, so the view replaces exactly - // those rows and leaves the rest of what it holds alone. - source - .update() - .column("x", "20") - .only_if("x = 2") - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 1, "only the changed row is recomputed"); - assert_eq!(read(view.table(), "twice").await, vec![2, 6, 40]); - } - - /// Legacy storage cannot serve the row-version columns update discovery - /// scans; appends stay incremental, updates rebuild rather than fail. - #[tokio::test] - async fn test_a_legacy_storage_source_is_reconciled() { - let conn = connect("memory://").execute().await.unwrap(); - let batch = record_batch!(("x", Int32, [1, 2, 3])).unwrap(); - let source = conn - .create_table("legacy_src", batch) - .write_options(crate::table::WriteOptions { - lance_write_params: Some(lance::dataset::WriteParams { - enable_stable_row_ids: true, - data_storage_version: Some(LanceFileVersion::Legacy), - ..Default::default() - }), - }) - .execute() - .await - .unwrap(); - let view = conn - .create_materialized_view("legacy_doubled", "legacy_src") - .with_no_data(true) - .select([("x", "x"), ("twice", "x * 2")]) - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - - source - .add(record_batch!(("x", Int32, [4])).unwrap()) - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 6, 8]); - - source - .update() - .column("x", "20") - .only_if("x = 2") - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(read(view.table(), "twice").await, vec![2, 6, 8, 40]); - } - - #[tokio::test] - async fn test_delete_evicts_the_view_rows_it_removed() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2, 3]).await; - - // A delete removes source rows without changing the ones that - // remain, so the view evicts exactly those rows and keeps the rest - // rather than recomputing every row it already held. - source.delete("x = 2").await.unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(view.table(), "twice").await, vec![2, 6]); - - // A delete and an append in one span: both are applied. - source.delete("x = 1").await.unwrap(); - source - .add(record_batch!(("x", Int32, vec![4])).unwrap()) - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(view.table(), "twice").await, vec![6, 8]); - } - - /// merge_insert commits an `Update`, and its by-source arm removes rows - /// rather than changing them, so the classifier must treat that - /// transaction form as a source of deletions. - #[tokio::test] - async fn test_merge_insert_by_source_delete_evicts_the_view_rows() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2, 3]).await; - - let batch = record_batch!(("x", Int32, vec![1, 3])).unwrap(); - let reader = arrow_array::RecordBatchIterator::new(vec![Ok(batch.clone())], batch.schema()); - let mut merge = source.merge_insert(&["x"]); - merge.when_not_matched_by_source_delete(None); - merge.execute(Box::new(reader)).await.unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(view.table(), "twice").await, vec![2, 6]); - } - - /// A refresh may only certify the generation it planned from. A write - /// that lands between planning and publication is drift the refresh did - /// not account for, so it aborts rather than stamp it as materialized. - #[tokio::test(flavor = "multi_thread")] - async fn test_refresh_aborts_rather_than_certify_view_drift() { - let _serial = DRIFT_LOCK.lock().await; - let (conn, source) = db_with_source(vec![1, 2, 3]).await; - let view = conn - .create_materialized_view("drifting_view", "src") - .with_no_data(true) - .select([("x", "x"), ("twice", "x * 2")]) - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - let certified = source_version_of(view.table()).await; - - // The source loses a row, so the next refresh plans an eviction. - source.delete("x = 2").await.unwrap(); - - let uri = view - .table() - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .uri() - .to_string(); - *DRIFT_TARGET.lock().unwrap() = Some(uri); - let refreshing = tokio::spawn(async move { view.refresh().execute().await }); - - // Move the view once the refresh has planned against it. - tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) - .await - .expect("the refresh never reached the publication boundary"); - let drifted = conn.open_table("drifting_view").execute().await.unwrap(); - drifted.delete("twice = 6").await.unwrap(); - DRIFT_RELEASED.notify_one(); - - // Publishing removals and additions as one change makes the drift a - // conflict lance itself rejects; a pure append, which touches no - // existing fragment, still relies on the generation check. - let err = refreshing.await.unwrap().unwrap_err(); - let message = err.to_string(); - assert!( - message.contains("raced this refresh") || message.contains("preempted by concurrent"), - "got {err:?}" - ); - // The watermark still names the generation that was actually proven. - assert_eq!(source_version_of(&drifted).await, certified); - } - - async fn source_version_of(table: &Table) -> Option { - table - .schema() - .await - .unwrap() - .metadata() - .get(SOURCE_VERSION_META_KEY) - .cloned() - } - - /// A transaction file carries placeholder ids for the fragments it - /// creates. Into an empty source those collide with the ids the commit - /// assigns, so treating them as already-materialized drops the very - /// first rows while the watermark still advances past them. - #[tokio::test] - async fn test_merge_into_an_empty_source_is_materialized() { - let (_conn, source, view) = refreshed_doubled(vec![]).await; - assert_eq!(read(view.table(), "twice").await, Vec::::new()); - - let batch = record_batch!(("x", Int32, vec![1, 2])).unwrap(); - let reader = arrow_array::RecordBatchIterator::new(vec![Ok(batch.clone())], batch.schema()); - let mut merge = source.merge_insert(&["x"]); - merge - .when_matched_update_all(None) - .when_not_matched_insert_all(); - merge.execute(Box::new(reader)).await.unwrap(); - - view.refresh().execute().await.unwrap(); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - // A second refresh must not double them either. - view.refresh().execute().await.unwrap(); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - } - - /// A refresh publishes what it removes and what it adds as one change, - /// so an update never exposes the view without the rows it is replacing. - #[tokio::test(flavor = "multi_thread")] - async fn test_an_update_is_never_visible_as_a_gap() { - let _serial = DRIFT_LOCK.lock().await; - let (conn, source) = db_with_source(vec![1, 2, 3]).await; - let view = conn - .create_materialized_view("atomic_view", "src") - .with_no_data(true) - .select([("x", "x"), ("twice", "x * 2")]) - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - - source - .update() - .column("x", "x + 10") - .execute() - .await - .unwrap(); - - let uri = view - .table() - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .uri() - .to_string(); - *DRIFT_TARGET.lock().unwrap() = Some(uri); - let refreshing = tokio::spawn(async move { view.refresh().execute().await }); - - // Read the view while the refresh is staged but not yet published. - tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) - .await - .expect("the refresh never reached the publication boundary"); - let midway = conn.open_table("atomic_view").execute().await.unwrap(); - assert_eq!( - read(&midway, "twice").await, - vec![2, 4, 6], - "the pre-refresh rows must still be there in full" - ); - DRIFT_RELEASED.notify_one(); - - refreshing.await.unwrap().unwrap(); - let after = conn.open_table("atomic_view").execute().await.unwrap(); - assert_eq!(read(&after, "twice").await, vec![22, 24, 26]); - } - - async fn provenance_by_x(table: &Table) -> HashMap { - let batches = table - .query() - .select(Select::columns(&["x", SOURCE_ROW_ID_COLUMN])) - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - batches - .iter() - .flat_map(|batch| { - let xs = batch["x"].as_any().downcast_ref::().unwrap(); - let ids = batch[SOURCE_ROW_ID_COLUMN].as_primitive::(); - (0..batch.num_rows()) - .map(|i| (xs.value(i), ids.value(i))) - .collect::>() - }) - .collect() - } - - /// One delta batch is as large as a fragment's deletions, so it arrives - /// well past a chunk: it has to be drained a chunk at a time without ever - /// holding the batch, and the passes' deletion vectors have to accumulate - /// rather than replace each other. - #[tokio::test] - async fn test_a_chunked_eviction_removes_every_row_it_names() { - let (_conn, _, view) = refreshed_doubled(vec![1, 2, 3, 4, 5, 6]).await; - - let native = view.table().as_native().unwrap(); - let view_ds = native.dataset.get().await.unwrap().as_ref().clone(); - let provenance = provenance_by_x(view.table()).await; - - let mut eviction = Eviction::new(&view_ds, 2); - let batch = UInt64Array::from_iter_values([1, 2, 3, 4].map(|x| provenance[&x])); - eviction.push(&batch).await.unwrap(); - assert_eq!( - eviction.peak, 2, - "a batch past the chunk was buffered whole" - ); - let staged = eviction.finish().await.unwrap(); - assert!(staged.is_some(), "four ids over a chunk of two stage twice"); - publish(&view_ds, staged, Vec::new(), None, None) - .await - .unwrap(); - native.dataset.reload().await.unwrap(); - - assert_eq!(read(view.table(), "x").await, vec![5, 6]); - } - - /// Two first rebuilds materialize the same source rows; the loser must - /// key-conflict at commit and land nothing, or the view doubles. - #[tokio::test] - async fn test_a_raced_first_rebuild_lands_nothing() { - let _guard = DRIFT_LOCK.lock().await; - let (conn, _) = db_with_source(vec![1, 2, 3]).await; - let view = conn - .create_materialized_view("raced_rebuild", "src") - .with_no_data(true) - .select([("x", "x"), ("twice", "x * 2")]) - .execute() - .await - .unwrap(); - let native = view.table().as_native().unwrap(); - let view_ds = native.dataset.get().await.unwrap().as_ref().clone(); - let uri = view_ds.uri().to_string(); - *DRIFT_TARGET.lock().unwrap() = Some(uri); - let racing = tokio::spawn(async move { view.refresh().execute().await }); - tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) - .await - .expect("the rebuild never reached the publication boundary"); - - // The other process's first rebuild, reduced to its commit. Its - // source rows are DISJOINT from ours -- the sentinel alone must make - // the two rebuilds conflict. - let batch = record_batch!( - ("x", Int32, [8, 9]), - ("twice", Int32, [16, 18]), - ("__source_row_id", UInt64, [7u64, 8]) - ) - .unwrap(); - let schema = Arc::new(ArrowSchema::from(view_ds.schema())); - let batch = RecordBatch::try_new( - schema.clone(), - schema - .fields() - .iter() - .map(|f| batch.column_by_name(f.name()).unwrap().clone()) - .collect(), - ) - .unwrap(); - let stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new( - schema.clone(), - futures::stream::iter([Ok(batch)]), - )); - let keys = Arc::new(StdMutex::new(KeyExistenceFilterBuilder::new(vec![ - source_row_id_field_id(&view_ds).unwrap(), - ]))); - let stream = collect_source_row_ids(stream, keys.clone(), Arc::new(AtomicU64::new(0))); - let write_txn = InsertBuilder::new(WriteDestination::Dataset(Arc::new(view_ds.clone()))) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await - .unwrap(); - let Operation::Append { fragments } = write_txn.operation else { - panic!("expected an append"); - }; - let filter = { - let mut keys = keys.lock().unwrap(); - keys.insert(KeyValue::UInt64(super::REFRESH_TOKEN_ID)) - .unwrap(); - keys.build() - }; - CommitBuilder::new(WriteDestination::Dataset(Arc::new(view_ds.clone()))) - .execute(Transaction::new( - view_ds.version().version, - Operation::Update { - removed_fragment_ids: Vec::new(), - updated_fragments: Vec::new(), - new_fragments: fragments, - fields_modified: Vec::new(), - compacted_sstables: Vec::new(), - fields_for_preserving_frag_bitmap: Vec::new(), - update_mode: None, - inserted_rows_filter: Some(filter), - updated_fragment_offsets: None, - }, - None, - )) - .await - .unwrap(); - DRIFT_RELEASED.notify_one(); - - let err = racing.await.unwrap().unwrap_err(); - // The loser lands nothing: only the winner's rows remain. - let raced = conn.open_table("raced_rebuild").execute().await.unwrap(); - assert_eq!( - read(&raced, "twice").await, - vec![16, 18], - "the losing rebuild must not union with the winner ({err})" - ); - } - - /// An incremental refresh racing any other refresh must land nothing, - /// even when their planned rows are disjoint: the shared token makes the - /// commits conflict. - #[tokio::test] - async fn test_a_raced_incremental_lands_nothing() { - let _guard = DRIFT_LOCK.lock().await; - let (conn, source) = db_with_source(vec![1, 2, 3]).await; - let view = conn - .create_materialized_view("raced_incremental", "src") - .with_no_data(true) - .select([("x", "x"), ("twice", "x * 2")]) - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - append(&source, vec![4]).await; - - let native = view.table().as_native().unwrap(); - native.dataset.reload().await.unwrap(); - let view_ds = native.dataset.get().await.unwrap().as_ref().clone(); - *DRIFT_TARGET.lock().unwrap() = Some(view_ds.uri().to_string()); - let racing = tokio::spawn(async move { view.refresh().execute().await }); - tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) - .await - .expect("the refresh never reached the publication boundary"); - - // The concurrent refresh, reduced to its commit: disjoint rows, the - // shared token alone must collide. - let batch = record_batch!( - ("x", Int32, [9]), - ("twice", Int32, [18]), - ("__source_row_id", UInt64, [8u64]) - ) - .unwrap(); - let schema = Arc::new(ArrowSchema::from(view_ds.schema())); - let batch = RecordBatch::try_new( - schema.clone(), - schema - .fields() - .iter() - .map(|f| batch.column_by_name(f.name()).unwrap().clone()) - .collect(), - ) - .unwrap(); - let stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new( - schema.clone(), - futures::stream::iter([Ok(batch)]), - )); - let keys = empty_keys(&view_ds).unwrap(); - let stream = collect_source_row_ids(stream, keys.clone(), Arc::new(AtomicU64::new(0))); - let write_txn = InsertBuilder::new(WriteDestination::Dataset(Arc::new(view_ds.clone()))) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await - .unwrap(); - let Operation::Append { fragments } = write_txn.operation else { - panic!("expected an append"); - }; - let filter = refresh_filter(&keys).unwrap(); - CommitBuilder::new(WriteDestination::Dataset(Arc::new(view_ds.clone()))) - .execute(Transaction::new( - view_ds.version().version, - Operation::Update { - removed_fragment_ids: Vec::new(), - updated_fragments: Vec::new(), - new_fragments: fragments, - fields_modified: Vec::new(), - compacted_sstables: Vec::new(), - fields_for_preserving_frag_bitmap: Vec::new(), - update_mode: None, - inserted_rows_filter: Some(filter), - updated_fragment_offsets: None, - }, - None, - )) - .await - .unwrap(); - DRIFT_RELEASED.notify_one(); - - let err = racing.await.unwrap().unwrap_err(); - let raced = conn - .open_table("raced_incremental") - .execute() - .await - .unwrap(); - assert_eq!( - read(&raced, "twice").await, - vec![2, 4, 6, 18], - "the losing increment must not land its rows ({err})" - ); - } - - /// Past the eviction cap the refresh falls back to the streamed rebuild, - /// and the result is identical either way. - #[tokio::test] - async fn test_oversized_delta_falls_back_to_rebuild() { - let (conn, source) = db_with_source((1..=20).collect()).await; - let view = doubled_view(&conn).await; - view.refresh().execute().await.unwrap(); - - source.delete("x <= 10").await.unwrap(); - *tests::EVICTION_CAP.lock().unwrap() = Some(4); - let result = view.refresh().execute().await; - *tests::EVICTION_CAP.lock().unwrap() = None; - let result = result.unwrap(); - assert_eq!( - result.mode, - RefreshMode::Rebuild, - "ten evictions, cap of four" - ); - assert_eq!(read(view.table(), "x").await, (11..=20).collect::>()); - - // Under the cap the same shape stays incremental. - source.delete("x = 11").await.unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(view.table(), "x").await, (12..=20).collect::>()); - } - - /// A cap of zero is a view that holds nothing, not a view without a cap. - #[tokio::test] - async fn test_zero_limit_holds_no_rows() { - let (conn, source) = db_with_source(vec![1, 2, 3]).await; - let view = conn - .create_materialized_view("empty", "src") - .with_no_data(true) - .select([("x", "x")]) - .limit(0) - .execute() - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 0); - assert_eq!(view.table().count_rows(None).await.unwrap(), 0); - - // Still nothing after the source grows, and the watermark advances. - append(&source, vec![4]).await; - view.refresh().execute().await.unwrap(); - assert_eq!(view.table().count_rows(None).await.unwrap(), 0); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// An update rewrites a whole fragment. When it lands on one appended - /// since the watermark, that fragment also holds rows the update never - /// touched -- rows the recompute does not cover and the append set no - /// longer reaches. - #[tokio::test] - async fn test_update_touching_a_new_fragment_keeps_its_untouched_rows() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2]).await; - - // One fragment, appended after the watermark, holding both a row the - // update will change and a row it will not. - append(&source, vec![3, 40]).await; - source - .update() - .column("x", "99") - .only_if("x = 3") - .execute() - .await - .unwrap(); - - view.refresh().execute().await.unwrap(); - assert_eq!( - read(view.table(), "twice").await, - vec![2, 4, 80, 198], - "a row appended into the updated fragment went missing" - ); - } - - async fn compact(source: &Table) { - source - .optimize(OptimizeAction::Compact { - options: CompactionOptions::default(), - remap_options: None, - }) - .await - .unwrap(); - } - - /// A compaction rearranges rows without changing them, so it costs the - /// view nothing: the watermark advances and no row is recomputed. - #[tokio::test] - async fn test_compaction_alone_refreshes_incrementally() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2]).await; - append(&source, vec![3]).await; - view.refresh().execute().await.unwrap(); - - compact(&source).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 0); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 6]); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// Rows appended after a compaction are separable through the transaction - /// log: only the appended fragments are computed. - #[tokio::test] - async fn test_append_after_compaction_stays_incremental() { - let (_conn, source, view) = refreshed_doubled(vec![1]).await; - append(&source, vec![2]).await; - view.refresh().execute().await.unwrap(); - - compact(&source).await; - append(&source, vec![3]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 1); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 6]); - } - - /// An append swallowed by a later compaction cannot be told apart from - /// the rows the view already holds, so the refresh rebuilds -- once -- - /// rather than duplicate or drop. - #[tokio::test] - async fn test_append_folded_into_compaction_rebuilds() { - let (_conn, source, view) = refreshed_doubled(vec![1]).await; - - append(&source, vec![2]).await; - compact(&source).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - } - - /// The create-time gate holds across a drop-and-recreate of the source - /// under the same name. - #[tokio::test] - async fn test_refresh_refuses_a_recreated_source_without_stable_row_ids() { - let (conn, _, view) = refreshed_doubled(vec![1]).await; - - conn.drop_table("src", &[]).await.unwrap(); - let batch = record_batch!(("x", Int32, [9])).unwrap(); - conn.create_table("src", batch).execute().await.unwrap(); - - let err = view.refresh().execute().await.unwrap_err(); - assert!( - matches!(err, Error::InvalidInput { message } if message.contains("stable row ids")) - ); - } - - /// A change to a column the view does not read is not a reason to - /// rebuild: the exact signature check is scoped to the view's inputs. - #[tokio::test] - async fn test_unrelated_column_change_does_not_rebuild() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2]).await; - - source - .add_columns() - .transform(NewColumnTransform::AllNulls(Arc::new(ArrowSchema::new( - vec![arrow_schema::Field::new( - "unrelated", - arrow_schema::DataType::Int32, - true, - )], - )))) - .execute() - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 0); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - } - - #[tokio::test] - async fn test_full_forces_a_rebuild() { - let (_conn, source, view) = refreshed_doubled(vec![1]).await; - - append(&source, vec![2]).await; - let result = view.refresh().full(true).execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(result.rows_written, 2); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - } - - /// A cap and incremental reconciliation do not compose: rows skipped at - /// the cap fall behind the watermark, so room freed later cannot be - /// refilled from any delta. A capped view rebuilds instead, which its - /// own cap keeps cheap. - #[tokio::test] - async fn test_limited_view_rebuilds_rather_than_reconcile() { - let (conn, source) = db_with_source(vec![1, 2]).await; - let view = conn - .create_materialized_view("capped", "src") - .with_no_data(true) - .select([("x", "x")]) - .limit(2) - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!(read(view.table(), "x").await, vec![1, 2]); - - append(&source, vec![3, 4]).await; - source - .update() - .column("x", "11") - .only_if("x = 1") - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - let held = read(view.table(), "x").await; - assert_eq!(held.len(), 2, "the cap holds: {held:?}"); - let selectable = read(&source, "x").await; - assert!( - held.iter().all(|x| selectable.contains(x)), - "{held:?} is not a subset of {selectable:?}" - ); - } - - #[tokio::test] - async fn test_limit_caps_the_view() { - let (conn, source) = db_with_source(vec![1, 2, 3]).await; - let view = conn - .create_materialized_view("capped", "src") - .with_no_data(true) - .select([("x", "x")]) - .limit(4) - .execute() - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 3); - - // The cap counts already-held rows, so only one appended row lands. - append(&source, vec![4, 5, 6]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 1); - assert_eq!(view.table().count_rows(None).await.unwrap(), 4); - - // At the cap, later appends only move the watermark. - append(&source, vec![7]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 0); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// The whole point of the fragment-swap commit: a rebuild must never - /// leave the view without its index definitions. - #[tokio::test] - async fn test_rebuild_retains_indexes() { - let (_conn, source, view) = refreshed_doubled(vec![1, 2, 3]).await; - - view.table() - .create_index(&["twice"], Index::BTree(BTreeIndexBuilder::default())) - .execute() - .await - .unwrap(); - assert_eq!(view.table().list_indices().await.unwrap().len(), 1); - - source - .update() - .column("x", "x + 10") - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(view.table().list_indices().await.unwrap().len(), 1); - assert_eq!(read(view.table(), "twice").await, vec![22, 24, 26]); - - // The swapped-in rows are reachable through an indexed query. - let batches = view - .table() - .query() - .only_if("twice = 24") - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - assert_eq!(batches.iter().map(|b| b.num_rows()).sum::(), 1); - } - - #[tokio::test] - async fn test_rebuild_of_an_empty_result_is_an_empty_view() { - let (conn, _) = db_with_source(vec![1, 2]).await; - let view = conn - .create_materialized_view("none", "src") - .with_no_data(true) - .select([("x", "x")]) - .only_if("x > 100") - .execute() - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(result.rows_written, 0); - assert_eq!(view.table().count_rows(None).await.unwrap(), 0); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// Provenance: every view row records the source row that produced it. - #[tokio::test] - async fn test_source_row_ids_are_recorded() { - let (_conn, _, view) = refreshed_doubled(vec![1, 2, 3]).await; - - let batches = view - .table() - .query() - .select(Select::columns(&[SOURCE_ROW_ID_COLUMN])) - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - let total: usize = batches.iter().map(|b| b.num_rows()).sum(); - assert_eq!(total, 3); - for batch in &batches { - assert_eq!(batch[SOURCE_ROW_ID_COLUMN].null_count(), 0); - } - } - - #[tokio::test] - async fn test_dropping_a_source_input_fails_the_refresh() { - let (conn, source) = db_with_source(vec![1]).await; - let view = conn - .create_materialized_view("v", "src") - .with_no_data(true) - .select([("twice", "x * 2")]) - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - - append(&source, vec![2]).await; - source - .add_columns() - .transform(NewColumnTransform::AllNulls(Arc::new(ArrowSchema::new( - vec![arrow_schema::Field::new( - "y", - arrow_schema::DataType::Int32, - true, - )], - )))) - .execute() - .await - .unwrap(); - source.drop_columns(&["x"]).await.unwrap(); - - let err = view.refresh().execute().await.unwrap_err(); - assert!( - matches!(&err, Error::Schema { message } - if message.contains("dropped or renamed") && message.contains("No field named x")), - "{err:?}" - ); - } - - /// A pinned refresh materializes the source as of `version`; catching up - /// to the appends beyond it stays incremental. - #[tokio::test] - async fn test_pinned_refresh_and_catch_up() { - let (conn, source) = db_with_source(vec![1]).await; - let view = doubled_view(&conn).await; - let pinned = source.version().await.unwrap(); - - append(&source, vec![2]).await; - let result = view - .refresh() - .source_version(pinned) - .execute() - .await - .unwrap(); - assert_eq!(result.source_version, pinned); - assert_eq!(read(view.table(), "twice").await, vec![2]); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - } - - /// Views chain: a view's stable row ids and provenance column make it a - /// source like any other, and the default projection takes its declared - /// columns without copying its provenance. - #[tokio::test] - async fn test_a_view_can_source_another_view() { - let (conn, source) = db_with_source(vec![1, 2, 30]).await; - let first = doubled_view(&conn).await; - first.refresh().execute().await.unwrap(); - - let second = conn - .create_materialized_view("second", "doubled") - .with_no_data(true) - .only_if("twice > 10") - .execute() - .await - .unwrap(); - assert!( - second - .definition() - .projections - .iter() - .all(|p| p.output != SOURCE_ROW_ID_COLUMN) - ); - let result = second.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 1); - assert_eq!(read(second.table(), "twice").await, vec![60]); - - append(&source, vec![50]).await; - first.refresh().execute().await.unwrap(); - let result = second.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(read(second.table(), "twice").await, vec![60, 100]); - } - - /// The watermark speaks only for the state a refresh left behind: a - /// direct write to the view is drift, and the next refresh rebuilds - /// rather than preserving it as current. - #[tokio::test] - async fn test_direct_view_mutation_forces_a_rebuild() { - let (_conn, _, view) = refreshed_doubled(vec![1, 2]).await; - - view.table().delete("x = 1").await.unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// A dropped and recreated source reuses version numbers but never their - /// timestamps; the watermark must not vouch for the replacement's rows. - #[tokio::test] - async fn test_source_recreation_forces_a_rebuild() { - let (conn, _, view) = refreshed_doubled(vec![1]).await; - - conn.drop_table("src", &[]).await.unwrap(); - let batch = record_batch!(("x", Int32, [7])).unwrap(); - conn.create_table("src", batch) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(read(view.table(), "twice").await, vec![14]); - } - - /// A refresh bound to an incarnation refuses a view dropped and recreated - /// since, even under the same name and definition; the recreated view's - /// own token is accepted, and the token survives a refresh's stamp. - #[tokio::test] - async fn test_refresh_refuses_a_recreated_view_incarnation() { - let (conn, _, view) = refreshed_doubled(vec![1]).await; - let token = view.incarnation().unwrap().to_string(); - view.refresh() - .expect_incarnation(&token) - .execute() - .await - .unwrap(); - let reopened = conn.open_materialized_view("doubled").await.unwrap(); - assert_eq!(reopened.incarnation(), Some(token.as_str())); - - conn.drop_table("doubled", &[]).await.unwrap(); - let recreated = doubled_view(&conn).await; - assert_ne!(recreated.incarnation(), Some(token.as_str())); - - let err = recreated - .refresh() - .expect_incarnation(&token) - .execute() - .await - .unwrap_err(); - assert!(err.to_string().contains("dropped and recreated"), "{err}"); - assert_eq!(read(recreated.table(), "twice").await, Vec::::new()); - - recreated - .refresh() - .expect_incarnation(recreated.incarnation().unwrap()) - .execute() - .await - .unwrap(); - assert_eq!(read(recreated.table(), "twice").await, vec![2]); - } - - /// A cloned declaration creates two physical tables; each gets its own - /// token. - #[tokio::test] - async fn test_cloned_declaration_mints_a_fresh_incarnation_per_create() { - let (conn, source) = db_with_source(vec![1]).await; - let prepared = crate::materialized_view::prepare_declaration( - &source, - Some(&[("x".into(), "x".into()), ("twice".into(), "x * 2".into())]), - None, - None, - ) - .await - .unwrap(); - let replacement = prepared.clone(); - let first = prepared.create("cloned").await.unwrap(); - let first_token = first.incarnation().unwrap().to_string(); - - conn.drop_table("cloned", &[]).await.unwrap(); - let second = replacement.create("cloned").await.unwrap(); - assert_ne!(second.incarnation(), Some(first_token.as_str())); - } - - /// A recreation that lands after planning but before publication is - /// caught by the pre-commit read: the stale refresh fails and the - /// replacement stays empty under its own token. - #[tokio::test(flavor = "multi_thread")] - async fn test_bound_refresh_cannot_publish_into_a_raced_recreation() { - let _serial = DRIFT_LOCK.lock().await; - let (conn, _) = db_with_source(vec![1]).await; - let view = doubled_view(&conn).await; - let token = view.incarnation().unwrap().to_string(); - let uri = view - .table() - .as_native() - .unwrap() - .dataset - .get() - .await - .unwrap() - .uri() - .to_string(); - - *DRIFT_TARGET.lock().unwrap() = Some(uri); - let refreshing = - tokio::spawn(async move { view.refresh().expect_incarnation(token).execute().await }); - tokio::time::timeout(std::time::Duration::from_secs(30), DRIFT_PLANNED.notified()) - .await - .expect("refresh never reached publication"); - - conn.drop_table("doubled", &[]).await.unwrap(); - let replacement = doubled_view(&conn).await; - let replacement_token = replacement.incarnation().unwrap().to_string(); - DRIFT_RELEASED.notify_one(); - - let result = refreshing.await.unwrap(); - assert!(result.is_err(), "the stale refresh unexpectedly succeeded"); - let reopened = conn.open_materialized_view("doubled").await.unwrap(); - assert_eq!(reopened.incarnation(), Some(replacement_token.as_str())); - assert_eq!(read(reopened.table(), "twice").await, Vec::::new()); - } - - /// Replacing the schema metadata wholesale drops the token. A refresh - /// bound to the old token is refused for that reason, not as a - /// recreation; an unbound refresh mints the view a fresh one. - #[tokio::test] - async fn test_a_view_whose_metadata_was_replaced_starts_a_new_incarnation() { - let (conn, _, view) = refreshed_doubled(vec![1]).await; - let token = view.incarnation().unwrap().to_string(); - let mut metadata = HashMap::new(); - metadata.insert( - crate::materialized_view::DEFINITION_META_KEY.to_string(), - crate::materialized_view::definition_to_metadata(view.definition()).unwrap(), - ); - view.table() - .as_native() - .unwrap() - .replace_schema_metadata(metadata) - .await - .unwrap(); - assert_eq!( - conn.open_materialized_view("doubled") - .await - .unwrap() - .incarnation(), - None - ); - - let err = view - .refresh() - .expect_incarnation(&token) - .execute() - .await - .unwrap_err(); - assert!(err.to_string().contains("no incarnation token"), "{err}"); - - view.refresh().execute().await.unwrap(); - let reopened = conn.open_materialized_view("doubled").await.unwrap(); - assert!(reopened.incarnation().is_some()); - assert_ne!(reopened.incarnation(), Some(token.as_str())); - } - - /// In-process refreshes of one view serialize: the loser of the race - /// observes the winner's watermark instead of appending the same rows. - #[tokio::test(flavor = "multi_thread")] - async fn test_concurrent_refreshes_do_not_duplicate() { - let (_conn, source, view) = refreshed_doubled(vec![1]).await; - - append(&source, vec![2, 3]).await; - let (a, b) = tokio::join!(view.refresh().execute(), view.refresh().execute()); - let (a, b) = (a.unwrap(), b.unwrap()); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 6]); - let modes = [a.mode, b.mode]; - assert!(modes.contains(&RefreshMode::Incremental)); - assert!(modes.contains(&RefreshMode::NoOp)); - } - - /// A second handle's lazy cache must not defeat the lock: after another - /// handle's refresh commits, the stale handle plans from the reloaded - /// state and no-ops instead of appending the same fragments again. - #[tokio::test] - async fn test_a_second_handle_does_not_double_append() { - let (conn, source, view) = refreshed_doubled(vec![1, 2, 3]).await; - let stale = conn.open_materialized_view("doubled").await.unwrap(); - - append(&source, vec![4]).await; - view.refresh().execute().await.unwrap(); - - let result = stale.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::NoOp); - assert_eq!(read(view.table(), "twice").await, vec![2, 4, 6, 8]); - } - - /// A commit racing between a refresh's data commit and its stamp must - /// not be certified as the refresh's generation: the stamp aborts, and - /// the next refresh rebuilds from the drifted state. - #[tokio::test] - async fn test_stamp_aborts_on_a_racing_commit() { - let (_conn, _, view) = refreshed_doubled(vec![1, 2]).await; - - let view_native = view.table().as_native().unwrap(); - let stale = view_native.dataset.get().await.unwrap().as_ref().clone(); - view.table().delete("x = 1").await.unwrap(); - - let err = stamp_watermark(view_native, stale, 99, 99, None, None).await; - assert!(err.is_err()); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(read(view.table(), "twice").await, vec![2, 4]); - } - - /// What refresh executes and what it stamps must be one generation: a - /// replaced definition wins over whatever a stale handle cached. - #[tokio::test] - async fn test_refresh_uses_the_latest_persisted_definition() { - let (_conn, _, view) = refreshed_doubled(vec![1, 2]).await; - - let replacement = crate::materialized_view::MaterializedViewDefinition { - vector_source: None, - source_table: "src".into(), - source_namespace: Vec::new(), - projections: vec![ - crate::materialized_view::ViewProjection { - output: "x".into(), - expression: "x".into(), - }, - crate::materialized_view::ViewProjection { - output: "twice".into(), - expression: "x * 3".into(), - }, - ], - filter: None, - group_by: Vec::new(), - limit: None, - lateral: None, - }; - let mut metadata = HashMap::new(); - metadata.insert( - crate::materialized_view::DEFINITION_META_KEY.to_string(), - crate::materialized_view::definition_to_metadata(&replacement).unwrap(), - ); - view.table() - .as_native() - .unwrap() - .replace_schema_metadata(metadata) - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(read(view.table(), "twice").await, vec![3, 6]); - } - - /// A persisted definition that does not produce this view's schema must - /// not refresh at all, let alone be certified. - #[tokio::test] - async fn test_definition_view_schema_mismatch_is_refused() { - let (_conn, _, view) = refreshed_doubled(vec![1, 2]).await; - - let narrower = crate::materialized_view::MaterializedViewDefinition { - vector_source: None, - source_table: "src".into(), - source_namespace: Vec::new(), - projections: vec![crate::materialized_view::ViewProjection { - output: "x".into(), - expression: "x".into(), - }], - filter: None, - group_by: Vec::new(), - limit: None, - lateral: None, - }; - let mut metadata = HashMap::new(); - metadata.insert( - crate::materialized_view::DEFINITION_META_KEY.to_string(), - crate::materialized_view::definition_to_metadata(&narrower).unwrap(), - ); - view.table() - .as_native() - .unwrap() - .replace_schema_metadata(metadata) - .await - .unwrap(); - - let err = view.refresh().execute().await.unwrap_err(); - assert!(matches!(err, Error::Schema { message } if message.contains("does not produce")),); - } - - /// An overlay replaces cell values without changing any file path; the - /// signature must see it, scoped to the columns the view reads like - /// data files are. - #[test] - fn test_fragment_signature_sees_overlays() { - use lance_file::version::ConcreteFileVersion; - use lance_table::format::DataFile; - use lance_table::format::overlay::{DataOverlayFile, OverlayCoverage}; - - let base = Fragment::new(7); - let mut file = DataFile::new_unstarted("f0.lance", ConcreteFileVersion::V2_1); - file.fields = vec![0, 1].into(); - let mut with_file = base.clone(); - with_file.files.push(file.clone()); - - let overlay = |field: i32| { - let mut data_file = DataFile::new_unstarted("o0.lance", ConcreteFileVersion::V2_1); - data_file.fields = vec![field].into(); - DataOverlayFile { - data_file, - coverage: OverlayCoverage::PerField(Vec::new()), - committed_version: 9, - } - }; - let relevant: HashSet = [0].into_iter().collect(); - - let mut overlaid_relevant = with_file.clone(); - overlaid_relevant.overlays.push(overlay(0)); - assert_ne!( - fragment_signature(&with_file, &relevant), - fragment_signature(&overlaid_relevant, &relevant), - ); - - let mut overlaid_unrelated = with_file.clone(); - overlaid_unrelated.overlays.push(overlay(5)); - assert_eq!( - fragment_signature(&with_file, &relevant), - fragment_signature(&overlaid_unrelated, &relevant), - ); - } - - /// An output whose name needs quoting flows through as a projection - /// alias, never spliced into SQL text. - #[tokio::test] - async fn test_output_names_needing_quotes() { - let (conn, _) = db_with_source(vec![1, 2]).await; - let view = conn - .create_materialized_view("v", "src") - .with_no_data(true) - .select([("double value", "x * 2")]) - .execute() - .await - .unwrap(); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.rows_written, 2); - assert_eq!(read(view.table(), "double value").await, vec![2, 4]); - } - - /// MemWAL tiers are visible to reads but not to the refresh scan, so LSM - /// state disqualifies every participant: the source at create, either - /// side at refresh, and the view can never accept a spec. Retained - /// un-compacted rows (the catch-up flag outlives unset) count as state. - #[tokio::test] - async fn lsm_state_disqualifies_source_and_view() { - use crate::table::LsmWriteSpec; - use arrow_array::RecordBatchIterator; - - let tmp_dir = tempfile::tempdir().unwrap(); - let conn = connect(tmp_dir.path().to_str().unwrap()) - .execute() - .await - .unwrap(); - // Hand-rolled: the LSM primary key must be non-nullable, which - // record_batch! cannot express. - let schema = Arc::new(ArrowSchema::new(vec![ - arrow_schema::Field::new("id", arrow_schema::DataType::Int64, false), - arrow_schema::Field::new("x", arrow_schema::DataType::Int32, false), - ])); - let batch = RecordBatch::try_new( - schema.clone(), - vec![ - Arc::new(arrow_array::Int64Array::from(vec![1, 2])) as _, - Arc::new(Int32Array::from(vec![1, 2])) as _, - ], - ) - .unwrap(); - let table = conn - .create_table("src", batch.clone()) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - table.set_unenforced_primary_key(["id"]).await.unwrap(); - table - .set_lsm_write_spec(LsmWriteSpec::unsharded()) - .await - .unwrap(); - - // An active-LSM source is refused at create. - let err = conn - .create_materialized_view("v", "src") - .with_no_data(true) - .execute() - .await - .unwrap_err(); - assert!(err.to_string().contains("un-compacted"), "{err}"); - - // Unset with nothing written clears the state: the view creates, - // and a spec can never be installed over it. - table.unset_lsm_write_spec().await.unwrap(); - let view = conn - .create_materialized_view("v", "src") + let view = connection + .create_materialized_view("copy", "src") .with_no_data(true) .execute() .await .unwrap(); - let err = view - .table() - .set_lsm_write_spec(LsmWriteSpec::unsharded()) - .await - .unwrap_err(); - assert!(err.to_string().contains("materialized view"), "{err}"); - - // A source that acquires a spec after create fails refresh. - table - .set_lsm_write_spec(LsmWriteSpec::unsharded()) - .await - .unwrap(); - let err = view.refresh().execute().await.unwrap_err(); - assert!(err.to_string().contains("source table 'src'"), "{err}"); - - // Retained rows outlive unset: write through the WAL, unset, and - // refresh still refuses. - let mut merge = table.merge_insert(&["id"]); - merge - .when_matched_update_all(None) - .when_not_matched_insert_all() - .use_lsm(true); - merge - .execute(Box::new(RecordBatchIterator::new( - vec![Ok(batch.clone())], - batch.schema(), - ))) - .await - .unwrap(); - table.unset_lsm_write_spec().await.unwrap(); - let err = view.refresh().execute().await.unwrap_err(); - assert!(err.to_string().contains("source table 'src'"), "{err}"); - } - - /// A view with a computed column, declared over `people` and refreshed. - async fn refreshed_computed_view(conn: &Connection) -> MaterializedView { - use crate::materialized_view::tests::{computed_field, people, test_binding}; - let source = people(conn).await; - let view = crate::materialized_view::prepare_declaration( - &source, - Some(&[ - ("id".to_string(), "id".to_string()), - ("name".to_string(), "name".to_string()), - ]), - None, - None, - ) - .await - .unwrap() - .with_computed_columns( - vec![(2, computed_field("emb", "fb_1", "name"))], - &[test_binding("fb_1", "name", "emb")], - ) - .unwrap() - .create("v") - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - view - } - - async fn unfilled(view: &MaterializedView) -> usize { - view.table() - .count_rows(Some("emb IS NULL".to_string())) - .await - .unwrap() - } - - async fn append_people(conn: &Connection, ids: Vec, names: Vec<&str>) { - let batch = record_batch!(("id", Int32, ids), ("name", Utf8, names)).unwrap(); - conn.open_table("people") - .execute() - .await - .unwrap() - .add(batch) - .execute() - .await - .unwrap(); - } - - /// Commit the fill job's shape on the view: a column rewrite of - /// `fields`, touching no rows. The data is left as it is; what matters - /// here is how the next refresh classifies the commit. - async fn commit_column_rewrite(view: &MaterializedView, fields: &[&str]) { - let native = view.table().as_native().unwrap(); - native.dataset.reload().await.unwrap(); - let dataset = native.dataset.get().await.unwrap().as_ref().clone(); - let fields_modified = fields - .iter() - .map(|name| dataset.schema().field(name).unwrap().id as u32) - .collect(); - let updated_fragments = dataset - .get_fragments() - .iter() - .map(|fragment| fragment.metadata().clone()) - .collect(); - let operation = Operation::Update { - removed_fragment_ids: Vec::new(), - updated_fragments, - new_fragments: Vec::new(), - fields_modified, - compacted_sstables: Vec::new(), - fields_for_preserving_frag_bitmap: Vec::new(), - update_mode: Some(UpdateMode::RewriteColumns), - inserted_rows_filter: None, - updated_fragment_offsets: None, - }; - let read_version = dataset.version().version; - CommitBuilder::new(WriteDestination::Dataset(Arc::new(dataset))) - .execute(Transaction::new(read_version, operation, None)) - .await - .unwrap(); - } - - /// Refresh never computes a computed column: every row it writes, on a - /// rebuild, an append and a rewrite, carries NULL there, and the - /// declaration survives all three. - #[tokio::test] - async fn test_computed_columns_are_written_null_and_kept() { - let conn = connect("memory://").execute().await.unwrap(); - let view = refreshed_computed_view(&conn).await; - assert_eq!(unfilled(&view).await, 3); - - append_people(&conn, vec![4, 5], vec!["d", "e"]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(unfilled(&view).await, 5); - - conn.open_table("people") - .execute() - .await - .unwrap() - .update() - .column("name", "'z'") - .only_if("id = 1") - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!(unfilled(&view).await, 5); - assert_eq!(read(view.table(), "id").await, vec![1, 2, 3, 4, 5]); - let schema = view.table().schema().await.unwrap(); - assert!( - crate::table::computed_columns::function_bindings(&schema) - .unwrap() - .iter() - .any(|b| b.binding_id() == "fb_1"), - "the binding envelope was lost" - ); - assert!( - computed_column_from_field(schema.field_with_name("emb").unwrap()).is_some(), - "the declaration was lost" - ); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// Field metadata on `field` only, the commit shape of the freshness - /// stamp `refresh_column` leaves after its fill. - async fn commit_field_metadata(view: &MaterializedView, field: &str, key: &str) { - let native = view.table().as_native().unwrap(); - native.dataset.reload().await.unwrap(); - let mut dataset = native.dataset.get().await.unwrap().as_ref().clone(); - dataset - .update_field_metadata() - .update(field, [(key.to_string(), "{}".to_string())]) - .unwrap() - .await - .unwrap(); - } - - /// The stamp is metadata on the computed column and rewrites nothing - /// refresh certifies, so it is not drift; the same commit shape on a - /// projected column is, like any other write to it. - #[tokio::test] - async fn test_a_freshness_stamp_is_not_drift() { - let conn = connect("memory://").execute().await.unwrap(); - let view = refreshed_computed_view(&conn).await; - - commit_field_metadata( - &view, - "emb", - crate::table::computed_columns::SOURCE_SIGNATURE_META_KEY, - ) - .await; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - - commit_field_metadata(&view, "id", "probe").await; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::Rebuild - ); - } - - /// The fill job's commit rewrites only computed columns. It is the one - /// commit on a view that is not drift: the next refresh carries on from - /// its watermark instead of rebuilding, which would null what the fill - /// just wrote. - #[tokio::test] - async fn test_a_computed_column_fill_is_not_drift() { - let conn = connect("memory://").execute().await.unwrap(); - let view = refreshed_computed_view(&conn).await; - - commit_column_rewrite(&view, &["emb"]).await; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - - commit_column_rewrite(&view, &["emb"]).await; - append_people(&conn, vec![4], vec!["d"]).await; - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Incremental); - assert_eq!(result.rows_written, 1); - assert_eq!(read(view.table(), "id").await, vec![1, 2, 3, 4]); - } - - /// A column rewrite that reaches a projected column is drift like any - /// other write: refresh certifies those columns and must recompute them. - #[tokio::test] - async fn test_a_rewrite_of_a_projected_column_is_drift() { - let conn = connect("memory://").execute().await.unwrap(); - let view = refreshed_computed_view(&conn).await; - - commit_column_rewrite(&view, &["emb", "name"]).await; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::Rebuild - ); - } - - /// The declaration contract is checked before any refresh mutation: a - /// missing binding envelope and a column that lost its declaration both - /// fail closed. - #[tokio::test] - async fn test_a_broken_declaration_is_refused_before_refresh() { - let conn = connect("memory://").execute().await.unwrap(); - let view = refreshed_computed_view(&conn).await; - let native = view.table().as_native().unwrap(); - let mut dataset = native.dataset.get().await.unwrap().as_ref().clone(); - dataset - .update_schema_metadata(vec![( - crate::table::computed_columns::FUNCTION_BINDINGS_META_KEY.to_string(), - None, - )]) - .await - .unwrap(); - let err = view.refresh().execute().await.unwrap_err().to_string(); - assert!(err.contains("references missing binding 'fb_1'"), "{err}"); - - let conn = connect("memory://").execute().await.unwrap(); - let view = refreshed_computed_view(&conn).await; - let native = view.table().as_native().unwrap(); - let mut dataset = native.dataset.get().await.unwrap().as_ref().clone(); - dataset - .replace_field_metadata(vec![( - dataset.schema().field("emb").unwrap().id as u32, - HashMap::new(), - )]) - .await - .unwrap(); - let err = view.refresh().execute().await.unwrap_err().to_string(); - assert!(err.contains("does not match binding 'fb_1'"), "{err}"); - } - - /// An input the view does not project is materialized on every refresh - /// path, before the provenance column, with the source's values. - #[tokio::test] - async fn test_internal_inputs_are_materialized_and_refreshed() { - use crate::materialized_view::tests::{computed_field, strict_people, test_binding}; - let conn = connect("memory://").execute().await.unwrap(); - let source = strict_people(&conn).await; - let mut prepared = crate::materialized_view::prepare_declaration( - &source, - Some(&[("id".to_string(), "id".to_string())]), - None, - None, - ) - .await - .unwrap(); - let input = prepared.input_column("name").unwrap(); - let view = prepared - .with_computed_columns( - vec![(1, computed_field("emb", "fb_1", &input))], - &[test_binding("fb_1", &input, "emb")], - ) - .unwrap() - .create("v") - .await - .unwrap(); - let names: Vec = view + let result_batch = + RecordBatch::try_new(schema.clone(), source_batch.columns().to_vec()).unwrap(); + let planned = view .table() - .schema() - .await - .unwrap() - .fields() - .iter() - .map(|f| f.name().clone()) - .collect(); - assert_eq!(names, ["id", "emb", "__input_name", SOURCE_ROW_ID_COLUMN]); - - let unfilled_inputs = || async { - view.table() - .count_rows(Some("__input_name IS NULL".to_string())) - .await - .unwrap() - }; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::Rebuild - ); - assert_eq!(view.table().count_rows(None).await.unwrap(), 3); - assert_eq!(unfilled_inputs().await, 0); - - let more = arrow_array::RecordBatch::try_new( - source.schema().await.unwrap(), - vec![ - Arc::new(Int32Array::from(vec![4])), - Arc::new(arrow_array::StringArray::from(vec!["d"])), - ], - ) - .unwrap(); - source.add(more).execute().await.unwrap(); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::Incremental - ); - assert_eq!(unfilled_inputs().await, 0); - assert_eq!( - view.table() - .count_rows(Some("__input_name = 'd'".to_string())) - .await - .unwrap(), - 1 - ); - - source - .update() - .column("name", "'z'") - .only_if("id = 1") - .execute() - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!( - view.table() - .count_rows(Some("__input_name = 'z'".to_string())) - .await - .unwrap(), - 1 - ); - assert_eq!( - unfilled(&view).await, - 4, - "rewritten and new rows are unfilled" - ); - } - - /// A SQL declaration is filled by `refresh_column` on the view, which - /// commits a data replacement and then its freshness stamp; the next - /// refresh continues from its watermark and keeps what the fill wrote, - /// and only rows the view added since come back unfilled. - #[tokio::test] - async fn test_a_sql_fill_is_not_drift() { - use crate::materialized_view::tests::{people, sql_field}; - let conn = connect("memory://").execute().await.unwrap(); - let source = people(&conn).await; - let view = crate::materialized_view::prepare_declaration( - &source, - Some(&[("id".to_string(), "id".to_string())]), - None, - None, - ) - .await - .unwrap() - .with_computed_columns( - vec![( - 1, - sql_field("next", arrow_schema::DataType::Int32, "id + 1", r#"["id"]"#), - )], - &[], - ) - .unwrap() - .create("v") - .await - .unwrap(); - let filled = || async { - view.table() - .count_rows(Some("next = id + 1".to_string())) - .await - .unwrap() - }; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::Rebuild - ); - assert_eq!( - view.table() - .refresh_column("next") - .await - .unwrap() - .rows_filled, - 3 - ); - assert_eq!(filled().await, 3); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - assert_eq!(filled().await, 3); - - append_people(&conn, vec![4], vec!["d"]).await; - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::Incremental - ); - assert_eq!(filled().await, 3); - assert_eq!( - view.table() - .refresh_column("next") - .await - .unwrap() - .rows_filled, - 1 - ); - assert_eq!(filled().await, 4); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - } - - /// A fill of a nested computed column writes its child fields; that is - /// still a fill, not drift. - #[tokio::test] - async fn test_a_nested_sql_fill_is_not_drift() { - use crate::materialized_view::tests::{people, sql_field}; - let conn = connect("memory://").execute().await.unwrap(); - let source = people(&conn).await; - let payload = sql_field( - "payload", - arrow_schema::DataType::Struct( - vec![arrow_schema::Field::new( - "value", - arrow_schema::DataType::Utf8, - true, - )] - .into(), - ), - "named_struct('value', name)", - r#"["name"]"#, - ); - let view = crate::materialized_view::prepare_declaration( - &source, - Some(&[("name".to_string(), "name".to_string())]), - None, - None, - ) - .await - .unwrap() - .with_computed_columns(vec![(1, payload)], &[]) - .unwrap() - .create("v") - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!( - view.table() - .refresh_column("payload") - .await - .unwrap() - .rows_filled, - 3 - ); - assert_eq!( - view.refresh().execute().await.unwrap().mode, - RefreshMode::NoOp - ); - assert_eq!( - view.table() - .count_rows(Some("payload.value = name".to_string())) - .await - .unwrap(), - 3 - ); - } - - async fn grouped_source(conn: &Connection) -> Table { - conn.create_table( - "src", - record_batch!(("k", Int32, [1, 1, 2, 3]), ("x", Int32, [10, 11, 20, 30])).unwrap(), - ) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap() - } - - pub(in crate::materialized_view) async fn declare( - source: &Table, - name: &str, - sql: &str, - ) -> Result { - crate::materialized_view::prepare_definition( - source, - MaterializedViewDefinition::from_sql(sql)?, - ) - .await? - .create(name) - .await - } - - /// Rows of `table` as `columns` rendered to text, sorted. - pub(in crate::materialized_view) async fn rows(table: &Table, columns: &[&str]) -> Vec { - let batches = table - .query() - .select(Select::columns(columns)) - .execute() - .await - .unwrap() - .try_collect::>() - .await - .unwrap(); - let mut rows = Vec::new(); - for batch in &batches { - let formatters: Vec<_> = batch - .columns() - .iter() - .map(|c| { - arrow_cast::display::ArrayFormatter::try_new(c.as_ref(), &Default::default()) - .unwrap() - }) - .collect(); - for row in 0..batch.num_rows() { - let cells: Vec = formatters - .iter() - .map(|f| f.value(row).to_string()) - .collect(); - rows.push(cells.join(" ")); - } - } - rows.sort(); - rows - } - - #[tokio::test] - async fn a_grouped_view_holds_one_row_per_group() { - let conn = connect("memory://").execute().await.unwrap(); - let source = grouped_source(&conn).await; - let view = declare( - &source, - "groups", - "SELECT k, array_agg(x) AS xs, sum(x) AS total FROM src WHERE x < 30 GROUP BY k", - ) - .await - .unwrap(); - assert_eq!( - view.definition().to_sql(), - "SELECT k, array_agg(x) AS xs, sum(x) AS total FROM src WHERE x < 30 GROUP BY k" - ); - - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(result.rows_written, 2); - assert_eq!(rows(view.table(), &["k", "total"]).await, ["1 21", "2 20"]); - let unchanged = view.refresh().execute().await.unwrap(); - assert_eq!(unchanged.mode, RefreshMode::NoOp); - - // Any source change recomputes every group. - source - .add(record_batch!(("k", Int32, [2]), ("x", Int32, [5])).unwrap()) - .execute() - .await - .unwrap(); - let result = view.refresh().execute().await.unwrap(); - assert_eq!(result.mode, RefreshMode::Rebuild); - assert_eq!(rows(view.table(), &["k", "total"]).await, ["1 21", "2 25"]); - - // A view over the groups expands them again. - let expanded = declare( - view.table(), - "elements", - "SELECT k, e AS x FROM groups, UNNEST(xs) AS e", - ) - .await - .unwrap(); - expanded.refresh().execute().await.unwrap(); - assert_eq!( - rows(expanded.table(), &["k", "x"]).await, - ["1 10", "1 11", "2 20", "2 5"] - ); - } - - /// Provenance is one source row per group, so the view's row-id keys - /// stay unique. - #[tokio::test] - async fn a_grouped_view_records_one_source_row_per_group() { - let conn = connect("memory://").execute().await.unwrap(); - let source = grouped_source(&conn).await; - let view = declare( - &source, - "groups", - "SELECT k, count(*) AS n FROM src GROUP BY k", - ) - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - let ids = rows(view.table(), &[SOURCE_ROW_ID_COLUMN]).await; - assert_eq!(ids.len(), 3); - assert_eq!(ids.iter().collect::>().len(), 3, "{ids:?}"); - } - - #[tokio::test] - async fn a_grouped_view_is_planned_at_declaration() { - let conn = connect("memory://").execute().await.unwrap(); - let source = grouped_source(&conn).await; - for sql in [ - // x is neither a key nor aggregated - "SELECT k, x FROM src GROUP BY k", - "SELECT k, random() AS r FROM src GROUP BY k", - "SELECT k, count(*) AS n FROM src GROUP BY missing", - "SELECT k, count(*) AS __source_row_id FROM src GROUP BY k", - "SELECT k, count(*) AS k FROM src GROUP BY k", - ] { - assert!(declare(&source, "v", sql).await.is_err(), "{sql}"); - } - let mut grouped = crate::materialized_view::prepare_definition( - &source, - MaterializedViewDefinition::from_sql("SELECT k, count(*) AS n FROM src GROUP BY k") - .unwrap(), - ) - .await - .unwrap(); - assert!(grouped.input_column("x").is_err()); - } - - /// Twenty nonzero vectors in two clusters far apart, ids 0-9 and 10-19. - /// Nonzero so every vector has a cosine direction. - pub(in crate::materialized_view) async fn clustered_source(conn: &Connection) -> Table { - use arrow_array::types::Float32Type; - use arrow_array::{FixedSizeListArray, Int32Array}; - - let vectors = FixedSizeListArray::from_iter_primitive::( - (0..20).map(|i| { - let base = if i < 10 { 0.0 } else { 100.0 }; - Some(vec![Some(base + 1.0 + i as f32 * 0.1), Some(base)]) - }), - 2, - ); - let batch = RecordBatch::try_from_iter(vec![ - ( - "id", - Arc::new(Int32Array::from_iter_values(0..20)) as arrow_array::ArrayRef, - ), - ("vec", Arc::new(vectors) as arrow_array::ArrayRef), - ]) - .unwrap(); - conn.create_table("images", batch) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap() - } - - #[tokio::test] - async fn ivf_partition_groups_by_the_index_on_the_column() { - use crate::index::vector::IvfFlatIndexBuilder; - - const BUCKETS: &str = "SELECT ivf_partition(vec) AS bucket, count(*) AS n, \ - min(id) AS lo, max(id) AS hi FROM images GROUP BY ivf_partition(vec)"; - let conn = connect("memory://").execute().await.unwrap(); - let source = clustered_source(&conn).await; - let unindexed = declare(&source, "buckets", BUCKETS).await.unwrap_err(); - assert!( - unindexed.to_string().contains("IVF vector index"), - "{unindexed}" - ); - - source - .create_index( - &["vec"], - Index::IvfFlat(IvfFlatIndexBuilder::default().num_partitions(2)), - ) - .execute() - .await - .unwrap(); - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!( - rows(view.table(), &["n", "lo", "hi"]).await, - ["10 0 9", "10 10 19"] - ); - let buckets = rows(view.table(), &["bucket"]).await; - assert_eq!(buckets, ["0", "1"]); - } - - #[tokio::test] - async fn ivf_partition_takes_a_column() { - let conn = connect("memory://").execute().await.unwrap(); - let source = clustered_source(&conn).await; - for sql in [ - "SELECT ivf_partition(id) AS b, count(*) AS n FROM images GROUP BY ivf_partition(id)", - "SELECT ivf_partition(vec, vec) AS b, count(*) AS n FROM images \ - GROUP BY ivf_partition(vec, vec)", - ] { - assert!(declare(&source, "v", sql).await.is_err(), "{sql}"); - } - } - - /// A cosine index assigns by L2 over unit vectors, as lance's own index - /// path does; forwarding cosine to the assigner panics. - #[tokio::test] - async fn ivf_partition_supports_cosine_indices() { - use crate::index::vector::IvfFlatIndexBuilder; - - const BUCKETS: &str = "SELECT ivf_partition(vec) AS bucket, count(*) AS n, \ - min(id) AS lo, max(id) AS hi FROM images GROUP BY ivf_partition(vec)"; - let conn = connect("memory://").execute().await.unwrap(); - let source = clustered_source(&conn).await; - source - .create_index( - &["vec"], - Index::IvfFlat( - IvfFlatIndexBuilder::default() - .num_partitions(2) - .distance_type(crate::DistanceType::Cosine), - ), - ) - .execute() - .await - .unwrap(); - let view = declare(&source, "cosine_buckets", BUCKETS).await.unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!( - rows(view.table(), &["n", "lo", "hi"]).await, - ["10 0 9", "10 10 19"] - ); - } - - /// Segments of one index trained separately carry different centroids; - /// grouping by one of them would bucket the other segments' rows wrongly. - #[tokio::test] - async fn ivf_partition_refuses_segments_with_different_models() { - use arrow_array::types::Float32Type; - use arrow_array::{ArrayRef, FixedSizeListArray, Int32Array}; - use lance::index::DatasetIndexExt; - use lance::index::vector::VectorIndexParams; - use lance_index::IndexType; - - let conn = connect("memory://").execute().await.unwrap(); - let source = clustered_source(&conn).await; - // A second fragment far from the first, so each segment trains its own centroids. - let far = FixedSizeListArray::from_iter_primitive::( - (0..20).map(|i| Some(vec![Some(-500.0 - i as f32), Some(-500.0)])), - 2, - ); - source - .add( - RecordBatch::try_from_iter(vec![ - ( - "id", - Arc::new(Int32Array::from_iter_values(20..40)) as ArrayRef, - ), - ("vec", Arc::new(far) as ArrayRef), - ]) - .unwrap(), - ) - .execute() - .await - .unwrap(); - let dataset = source.as_native().unwrap().dataset.get().await.unwrap(); - let mut dataset = dataset.as_ref().clone(); - let params = VectorIndexParams::ivf_flat(2, lance_linalg::distance::DistanceType::L2); - let mut segments = Vec::new(); - for fragment in dataset.get_fragments() { - let segment = dataset - .create_index_builder(&["vec"], IndexType::Vector, ¶ms) - .name("shared".to_string()) - .fragments(vec![fragment.id() as u32]) - .execute_uncommitted() - .await - .unwrap(); - segments.push(segment); - } - dataset - .commit_existing_index_segments("shared", "vec", segments) - .await - .unwrap(); - assert_eq!(dataset.load_indices().await.unwrap().len(), 2); - - let source = conn.open_table("images").execute().await.unwrap(); - let error = declare( - &source, - "buckets", - "SELECT ivf_partition(vec) AS b, count(*) AS n FROM images GROUP BY ivf_partition(vec)", - ) - .await - .unwrap_err(); - assert!(error.to_string().contains("trained separately"), "{error}"); - } - - /// A vector the assigner cannot place has no bucket: it is grouped under - /// NULL, never under partition 0. - #[tokio::test] - async fn ivf_partition_leaves_an_unassignable_vector_unbucketed() { - use crate::index::vector::IvfFlatIndexBuilder; - use arrow_array::types::Float32Type; - use arrow_array::{ArrayRef, FixedSizeListArray, Int32Array}; - - let conn = connect("memory://").execute().await.unwrap(); - let source = clustered_source(&conn).await; - source - .create_index( - &["vec"], - Index::IvfFlat( - IvfFlatIndexBuilder::default() - .num_partitions(2) - .distance_type(crate::DistanceType::Cosine), - ), - ) - .execute() - .await - .unwrap(); - // The zero vector has no direction, so cosine cannot place it. - let zero = FixedSizeListArray::from_iter_primitive::( - [Some(vec![Some(0.0), Some(0.0)])], - 2, - ); - source - .add( - RecordBatch::try_from_iter(vec![ - ("id", Arc::new(Int32Array::from(vec![20])) as ArrayRef), - ("vec", Arc::new(zero) as ArrayRef), - ]) - .unwrap(), - ) - .execute() - .await - .unwrap(); - let view = declare( - &source, - "buckets", - "SELECT ivf_partition(vec) AS bucket, count(*) AS n, min(id) AS lo, max(id) AS hi \ - FROM images GROUP BY ivf_partition(vec)", - ) - .await - .unwrap(); - view.refresh().execute().await.unwrap(); - // ArrayFormatter renders NULL as the empty string; partition numbers - // are the index's own and not asserted. - let groups = rows(view.table(), &["bucket", "n", "lo", "hi"]).await; - let (unbucketed, bucketed): (Vec<_>, Vec<_>) = - groups.iter().partition(|row| row.starts_with(' ')); - assert_eq!(unbucketed, [" 1 20 20"], "{groups:?}"); - let mut clusters: Vec<&str> = bucketed - .iter() - .map(|row| row.split_once(' ').unwrap().1) - .collect(); - clusters.sort(); - assert_eq!(clusters, ["10 0 9", "10 10 19"], "{groups:?}"); - } - - /// Byte vectors group by a Hamming index, the phash case. The centroids - /// are given, as lance's own tests do: two-means over a handful of - /// hashes can converge with one partition empty. - #[tokio::test] - async fn ivf_partition_groups_byte_vectors_by_hamming() { - use arrow_array::types::UInt8Type; - use arrow_array::{ArrayRef, FixedSizeListArray, Int32Array}; - use lance::index::DatasetIndexExt; - use lance::index::vector::VectorIndexParams; - use lance_index::IndexType; - use lance_index::vector::ivf::IvfBuildParams; - - let hashes = FixedSizeListArray::from_iter_primitive::( - (0..20u8).map(|i| { - let base = if i < 10 { 0x00 } else { 0xff }; - Some(vec![ - Some(base ^ (i % 4)), - Some(base), - Some(base), - Some(base), - ]) - }), - 4, - ); - let batch = RecordBatch::try_from_iter(vec![ - ( - "id", - Arc::new(Int32Array::from_iter_values(0..20)) as ArrayRef, - ), - ("phash", Arc::new(hashes) as ArrayRef), - ]) - .unwrap(); - let conn = connect("memory://").execute().await.unwrap(); - let source = conn - .create_table("images", batch) - .write_options(crate::materialized_view::tests::stable_row_ids()) - .execute() - .await - .unwrap(); - let centroids = FixedSizeListArray::from_iter_primitive::( - [Some(vec![Some(0); 4]), Some(vec![Some(0xff); 4])], - 4, - ); - let params = VectorIndexParams::with_ivf_flat_params( - lance_linalg::distance::DistanceType::Hamming, - IvfBuildParams::try_with_centroids(2, Arc::new(centroids)).unwrap(), - ); - let mut dataset = source .as_native() .unwrap() .dataset @@ -4806,19 +607,63 @@ pub(crate) mod tests { .unwrap() .as_ref() .clone(); - dataset - .create_index(&["phash"], IndexType::Vector, None, ¶ms, true) + assert!(planned.get_fragments().is_empty()); + + let (entered_tx, entered_rx) = tokio::sync::oneshot::channel(); + let (release_tx, release_rx) = tokio::sync::oneshot::channel(); + let loser_batch = result_batch.clone(); + let blocked = futures::stream::once(async move { + entered_tx.send(()).unwrap(); + release_rx.await.unwrap(); + Ok::<_, DataFusionError>(loser_batch) + }); + let stream = Box::pin(RecordBatchStreamAdapter::new(schema.clone(), blocked)); + let loser_table = view.table().clone(); + let loser = + tokio::spawn( + async move { replace_materialized_view_fragments(&loser_table, stream).await }, + ); + entered_rx.await.unwrap(); + + let winner_stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new( + schema, + futures::stream::iter([Ok(result_batch)]), + )); + let planned = Arc::new(planned); + let staged = InsertBuilder::new(WriteDestination::Dataset(planned.clone())) + .with_params(&WriteParams { + mode: WriteMode::Append, + ..Default::default() + }) + .execute_uncommitted_stream(winner_stream) .await .unwrap(); - let source = conn.open_table("images").execute().await.unwrap(); + let Operation::Append { fragments } = staged.operation else { + panic!("expected append staging"); + }; + let filter = refresh_conflict_filter(&planned).unwrap(); + CommitBuilder::new(WriteDestination::Dataset(planned.clone())) + .execute(Transaction::new( + planned.version().version, + Operation::Update { + removed_fragment_ids: Vec::new(), + updated_fragments: Vec::new(), + new_fragments: fragments, + fields_modified: Vec::new(), + compacted_sstables: Vec::new(), + fields_for_preserving_frag_bitmap: Vec::new(), + update_mode: None, + inserted_rows_filter: Some(filter), + updated_fragment_offsets: None, + }, + None, + )) + .await + .unwrap(); + release_tx.send(()).unwrap(); - const BUCKETS: &str = "SELECT ivf_partition(phash) AS bucket, count(*) AS n, \ - min(id) AS lo, max(id) AS hi FROM images GROUP BY ivf_partition(phash)"; - let view = declare(&source, "buckets", BUCKETS).await.unwrap(); - view.refresh().execute().await.unwrap(); - assert_eq!( - rows(view.table(), &["bucket", "n", "lo", "hi"]).await, - ["0 10 0 9", "1 10 10 19"] - ); + loser.await.unwrap().unwrap_err(); + let current = connection.open_table("copy").execute().await.unwrap(); + assert_eq!(current.count_rows(None).await.unwrap(), 3); } } diff --git a/rust/lancedb/src/materialized_view/vector_dedup.rs b/rust/lancedb/src/materialized_view/vector_dedup.rs deleted file mode 100644 index dc2759433..000000000 --- a/rust/lancedb/src/materialized_view/vector_dedup.rs +++ /dev/null @@ -1,636 +0,0 @@ -// SPDX-License-Identifier: Apache-2.0 -// SPDX-FileCopyrightText: Copyright The LanceDB Authors - -//! Two dependent waves in the ordinary refresh fleet: index partition selection, -//! then source fragment materialization. Only the latter publishes data files. - -use std::collections::BTreeMap; -use std::io::Cursor; -use std::sync::Arc; - -use arrow_array::{Array, RecordBatch, UInt64Array}; -use arrow_schema::{DataType, Field, Schema, SchemaRef}; -use datafusion::prelude::{SessionConfig, SessionContext, col}; -use datafusion_common::DataFusionError; -use datafusion_execution::{ - SendableRecordBatchStream, TaskContext, runtime_env::RuntimeEnvBuilder, -}; -use datafusion_physical_plan::{ExecutionPlan, stream::RecordBatchStreamAdapter}; -use futures::TryStreamExt; -use lance::Dataset; -use lance::dataset::rowids::{get_row_id_index, load_row_id_sequence}; -use lance::dataset::scanner::{RowAddrMask, RowAddrTreeMap}; -use lance::dataset::transaction::Operation; -use lance::dataset::{InsertBuilder, WriteDestination, WriteMode, WriteParams}; -use lance_core::datatypes::BlobHandling; -use lance_core::utils::address::RowAddress; -use lance_datafusion::exec::{OneShotExec, SessionContextExt}; -use lance_table::format::Fragment; -use roaring::{RoaringBitmap, RoaringTreemap}; -use serde::{Deserialize, Serialize}; -use sha2::{Digest, Sha256}; -use uuid::Uuid; - -use super::duplicate_pairs::{self, DuplicatePairsRefreshPlan, VectorSourceKind}; -use super::{GroupedRefreshPlan, RefreshMaterializedViewResult}; -use crate::table::Table; -use crate::table::datafusion::udtf::duplicate_pairs::{DuplicatePairsExec, plan_duplicate_pairs}; -use crate::{Error, Result}; - -const POLICY_VERSION: u32 = 1; -const SORT_MEMORY_BYTES: usize = 256 * 1024 * 1024; -const MATERIALIZE_BATCH_ROWS: usize = 1024; -const MASK_FILE: &str = "dedup.bitmap"; -const MASK_MAGIC: &[u8] = b"LANCEDB_DEDUP_1"; - -fn invalid(message: impl Into) -> Error { - Error::InvalidInput { - message: message.into(), - } -} -fn io_error(error: std::io::Error) -> Error { - invalid(format!("invalid dedup bitmap: {error}")) -} - -/// Immutable snapshot, partition tasks and source fragments for both waves. -#[derive(Debug, Clone, PartialEq, Eq, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct VectorDedupPlan { - pub snapshot: GroupedRefreshPlan, - native: DuplicatePairsRefreshPlan, - source_fragments: Vec, - policy_version: u32, -} -impl VectorDedupPlan { - pub(super) fn dependencies(&self) -> u32 { - self.native.snapshot.units - } - fn identity(&self) -> Result { - Ok(format!( - "{:x}", - Sha256::digest(serde_json::to_vec(self).map_err(|e| invalid(e.to_string()))?) - )) - } -} - -/// Small receipt for a durable selection mask. Row IDs and pairs are not stored -/// in the host's task registry. UUID directories use ordinary index-file GC. -#[derive(Debug, Clone, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -struct MaskFile { - source_fragment: u32, - object_id: Uuid, - bytes: usize, - digest: String, -} - -/// A selection task produces masks; a materialization task produces data files. -#[derive(Debug, Clone, Serialize, Deserialize)] -#[serde(deny_unknown_fields)] -pub struct WrittenDedupUnit { - unit: u32, - plan_id: String, - masks: Vec, - pub(super) fragments: Vec, - pub(super) rows: u64, -} - -pub(super) async fn plan_refresh(view: &Table, pinned: Option) -> Result { - let native = duplicate_pairs::plan_refresh(view, pinned).await?; - let (_, _, source) = duplicate_pairs::open_planned(view, &native).await?; - let source_fragments = source - .get_fragments() - .iter() - .map(|f| f.id() as u32) - .collect::>(); - let mut snapshot = native.snapshot.clone(); - snapshot.units = snapshot - .units - .checked_add( - u32::try_from(source_fragments.len()) - .map_err(|_| invalid("too many source fragments"))?, - ) - .ok_or_else(|| invalid("too many dedup refresh units"))?; - Ok(VectorDedupPlan { - snapshot, - native, - source_fragments, - policy_version: POLICY_VERSION, - }) -} - -async fn open( - view: &Table, - plan: &VectorDedupPlan, -) -> Result<(Dataset, super::MaterializedViewDefinition, Arc)> { - let (view_ds, definition, source) = duplicate_pairs::open_planned(view, &plan.native).await?; - let mut snapshot = plan.native.snapshot.clone(); - snapshot.units = snapshot - .units - .checked_add( - u32::try_from(plan.source_fragments.len()) - .map_err(|_| invalid("too many dedup fragments"))?, - ) - .ok_or_else(|| invalid("too many dedup units"))?; - if plan.policy_version != POLICY_VERSION - || snapshot != plan.snapshot - || definition.vector_source.as_ref().map(|s| s.kind) != Some(VectorSourceKind::Dedup) - || source - .get_fragments() - .iter() - .map(|f| f.id() as u32) - .collect::>() - != plan.source_fragments - { - return Err(invalid("dedup task belongs to another snapshot or policy")); - } - Ok((view_ds, definition, source)) -} - -fn edge_schema() -> SchemaRef { - Arc::new(Schema::new(vec![ - Field::new("a", DataType::UInt64, false), - Field::new("b", DataType::UInt64, false), - ])) -} - -/// Sorting canonical edges makes the first unremoved endpoint the smallest -/// unassigned representative. The sort spills; only vertex masks stay in RAM. -pub async fn select_representatives( - stream: SendableRecordBatchStream, - memory: usize, -) -> Result<(RoaringTreemap, RoaringTreemap)> { - let schema = edge_schema(); - let batch_schema = schema.clone(); - let canonical = stream - .map_ok(move |batch| { - let a = batch - .column(0) - .as_any() - .downcast_ref::() - .expect("native row id"); - let b = batch - .column(1) - .as_any() - .downcast_ref::() - .expect("native row id"); - RecordBatch::try_new( - batch_schema.clone(), - vec![ - Arc::new(UInt64Array::from_iter_values( - a.values().iter().zip(b.values()).map(|(&a, &b)| a.min(b)), - )), - Arc::new(UInt64Array::from_iter_values( - a.values().iter().zip(b.values()).map(|(&a, &b)| a.max(b)), - )), - ], - ) - .map_err(DataFusionError::from) - }) - .and_then(futures::future::ready); - let canonical = Box::pin(RecordBatchStreamAdapter::new(schema, canonical)); - let mut config = SessionConfig::default().with_batch_size(MATERIALIZE_BATCH_ROWS); - // Leave enough room to merge spilled runs while the final in-memory run - // is still resident. Small batches also bound each merge input buffer. - config.options_mut().execution.sort_spill_reservation_bytes = memory / 2; - let ctx = SessionContext::new_with_config_rt( - config, - RuntimeEnvBuilder::new() - .with_memory_limit(memory, 1.0) - .build_arc()?, - ); - let mut sorted = ctx - .read_one_shot(canonical)? - .sort_by(vec![col("a"), col("b")])? - .execute_stream() - .await?; - let mut removed = RoaringTreemap::new(); - let mut representatives = RoaringTreemap::new(); - while let Some(batch) = sorted.try_next().await? { - let a = batch - .column(0) - .as_any() - .downcast_ref::() - .expect("sorted id"); - let b = batch - .column(1) - .as_any() - .downcast_ref::() - .expect("sorted id"); - for (&a, &b) in a.values().iter().zip(b.values()) { - if a != b && !removed.contains(a) && !removed.contains(b) { - representatives.insert(a); - removed.insert(b); - } - } - } - Ok((removed, representatives)) -} - -#[derive(Default)] -struct Masks { - removed: RoaringBitmap, - representatives: RoaringBitmap, -} - -async fn persist_masks( - view: &Dataset, - source: &Dataset, - removed: RoaringTreemap, - representatives: RoaringTreemap, -) -> Result> { - let row_index = get_row_id_index(source).await?; - let mut masks: BTreeMap = BTreeMap::new(); - for (ids, is_removed) in [(removed, true), (representatives, false)] { - for id in ids { - let address = match &row_index { - Some(index) => index - .get(id)? - .ok_or_else(|| invalid("pair row id missing from pinned source"))?, - None => RowAddress::new_from_u64(id), - }; - let mask = masks.entry(address.fragment_id()).or_default(); - if is_removed { - mask.removed.insert(address.row_offset()); - } else { - mask.representatives.insert(address.row_offset()); - } - } - } - let store = view.object_store(None).await?; - let mut files = Vec::new(); - for (source_fragment, mask) in masks { - if source.get_fragment(source_fragment as usize).is_none() { - return Err(invalid("pair row address is outside the pinned snapshot")); - } - let mut bytes = MASK_MAGIC.to_vec(); - mask.removed.serialize_into(&mut bytes).map_err(io_error)?; - mask.representatives - .serialize_into(&mut bytes) - .map_err(io_error)?; - let object_id = Uuid::new_v4(); - store - .put( - &view - .indices_dir() - .join(object_id.to_string()) - .join(MASK_FILE), - &bytes, - ) - .await?; - files.push(MaskFile { - source_fragment, - object_id, - bytes: bytes.len(), - digest: format!("{:x}", Sha256::digest(&bytes)), - }); - } - Ok(files) -} - -fn validate_receipts<'a>( - plan: &VectorDedupPlan, - receipts: &'a [WrittenDedupUnit], - count: u32, -) -> Result> { - let identity = plan.identity()?; - let mut ordered = vec![None; count as usize]; - for receipt in receipts { - if receipt.plan_id != identity { - return Err(invalid("dedup receipt belongs to another plan")); - } - let slot = ordered - .get_mut(receipt.unit as usize) - .ok_or_else(|| invalid("unexpected dedup receipt"))?; - if slot.is_some() { - return Err(invalid("duplicate dedup receipt")); - } - if receipt.unit < plan.dependencies() { - if !receipt.fragments.is_empty() - || receipt.rows != 0 - || receipt - .masks - .iter() - .any(|m| !plan.source_fragments.contains(&m.source_fragment)) - { - return Err(invalid("invalid selection receipt")); - } - } else if !receipt.masks.is_empty() { - return Err(invalid("invalid materialization receipt")); - } - *slot = Some(receipt); - } - ordered - .into_iter() - .collect::>>() - .ok_or_else(|| invalid("missing dedup dependency receipt")) -} - -async fn load_masks( - view: &Dataset, - source_fragment: u32, - dependencies: &[&WrittenDedupUnit], -) -> Result { - let store = view.object_store(None).await?; - let mut masks = Masks::default(); - for file in dependencies - .iter() - .flat_map(|u| &u.masks) - .filter(|m| m.source_fragment == source_fragment) - { - let reader = store - .open( - &view - .indices_dir() - .join(file.object_id.to_string()) - .join(MASK_FILE), - ) - .await?; - if reader.size().await? != file.bytes { - return Err(invalid("dedup mask length mismatch")); - } - let bytes = reader.get_range(0..file.bytes).await?; - if !bytes.starts_with(MASK_MAGIC) || format!("{:x}", Sha256::digest(&bytes)) != file.digest - { - return Err(invalid("dedup mask checksum mismatch")); - } - let mut cursor = Cursor::new(&bytes[MASK_MAGIC.len()..]); - masks.removed |= RoaringBitmap::deserialize_from(&mut cursor).map_err(io_error)?; - masks.representatives |= RoaringBitmap::deserialize_from(&mut cursor).map_err(io_error)?; - if cursor.position() as usize != bytes.len() - MASK_MAGIC.len() { - return Err(invalid("dedup mask has trailing data")); - } - } - // Native index scopes normally have disjoint rows. Fail closed if an - // overlapping scope would delete a representative used by another scope. - if !masks.removed.is_disjoint(&masks.representatives) { - return Err(invalid( - "overlapping index scopes disagree on retained representatives", - )); - } - Ok(masks.removed) -} - -pub(super) async fn write_unit( - view: &Table, - unit: u32, - plan: &VectorDedupPlan, - dependencies: &[WrittenDedupUnit], -) -> Result { - let (view_ds, definition, source) = open(view, plan).await?; - let mut written = WrittenDedupUnit { - unit, - plan_id: plan.identity()?, - masks: Vec::new(), - fragments: Vec::new(), - rows: 0, - }; - if unit < plan.dependencies() { - let config = definition - .vector_source - .as_ref() - .expect("dedup source") - .config()?; - let exec = DuplicatePairsExec::try_new( - source.clone(), - config, - vec![plan.native.tasks[unit as usize].clone()], - )?; - let stream = exec.execute(0, Arc::new(TaskContext::default()))?; - let (removed, representatives) = select_representatives(stream, SORT_MEMORY_BYTES).await?; - written.masks = persist_masks(&view_ds, &source, removed, representatives).await?; - return Ok(written); - } - let source_fragment = *plan - .source_fragments - .get((unit - plan.dependencies()) as usize) - .ok_or_else(|| invalid("dedup unit is outside the plan"))?; - let dependencies = validate_receipts(plan, dependencies, plan.dependencies())?; - let removed = load_masks(&view_ds, source_fragment, &dependencies).await?; - let fragment = source - .get_fragment(source_fragment as usize) - .ok_or_else(|| invalid("source fragment missing"))?; - // The scanner prefilter uses snapshot row IDs. Our persisted masks use - // physical offsets so each writer only loads its own fragment's artifacts. - let blocked = if source.manifest.uses_stable_row_ids() { - let sequence = load_row_id_sequence(&source, fragment.metadata()).await?; - if removed - .max() - .is_some_and(|offset| offset as u64 >= sequence.len()) - { - return Err(invalid("dedup mask offset is outside the source fragment")); - } - RowAddrTreeMap::from_iter(sequence.select(removed.iter().map(|offset| offset as usize))) - } else { - RowAddrTreeMap::from_iter( - removed - .iter() - .map(|offset| u64::from(RowAddress::new_from_parts(source_fragment, offset))), - ) - }; - let mut scanner = source.scan(); - scanner - .with_fragments(vec![fragment.metadata().clone()]) - .with_row_addr_prefilter(RowAddrMask::from_block(blocked)) - .blob_handling(BlobHandling::AllBinary) - .batch_size(MATERIALIZE_BATCH_ROWS) - .strict_batch_size(true); - let stream = scanner.try_into_stream().await?; - let schema = lance_io::stream::RecordBatchStream::schema(&stream); - let rows = Arc::new(std::sync::atomic::AtomicU64::new(0)); - let count = rows.clone(); - let stream = stream - .map_err(|e| DataFusionError::External(Box::new(e))) - .inspect_ok(move |batch| { - count.fetch_add( - batch.num_rows() as u64, - std::sync::atomic::Ordering::Relaxed, - ); - }); - let stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new(schema, stream)); - // Materialized binary payloads must become the destination's logical blob - // structs before the Lance writer encodes them. Reuse the normal add path's - // coercions, including nulls and nested fields. - let coerced = crate::table::datafusion::cast::cast_to_table_schema( - Arc::new(OneShotExec::new(stream)), - &Schema::from(view_ds.schema()), - )?; - let stream = coerced.execute(0, Arc::new(TaskContext::default()))?; - let txn = InsertBuilder::new(WriteDestination::Dataset(Arc::new(view_ds))) - .with_params(&WriteParams { - mode: WriteMode::Append, - ..Default::default() - }) - .execute_uncommitted_stream(stream) - .await?; - let Operation::Append { fragments } = txn.operation else { - return Err(invalid( - "dedup materialization did not stage append fragments", - )); - }; - written.fragments = fragments; - written.rows = rows.load(std::sync::atomic::Ordering::Relaxed); - Ok(written) -} - -pub(super) async fn commit( - view: &Table, - plan: &VectorDedupPlan, - units: Vec, - expected: Option<&str>, -) -> Result { - let (_, definition, source) = open(view, plan).await?; - let config = definition - .vector_source - .as_ref() - .expect("dedup source") - .config()?; - if plan_duplicate_pairs(source.clone(), &config).await? != plan.native.tasks { - return Err(invalid("dedup plan does not cover the pinned index")); - } - validate_receipts(plan, &units, plan.snapshot.units)?; - let rows = units.iter().map(|u| u.rows).sum(); - let fragments = units.into_iter().flat_map(|u| u.fragments).collect(); - super::grouped_units::commit_fragments( - view, - &plan.snapshot, - &definition, - source.manifest.timestamp_nanos, - fragments, - rows, - expected, - ) - .await -} - -#[cfg(test)] -mod tests { - use super::*; - - fn edges(values: &[(u64, u64)], batch_size: usize) -> SendableRecordBatchStream { - let schema = edge_schema(); - let batches = values - .chunks(batch_size) - .map(|edges| { - Ok(RecordBatch::try_new( - schema.clone(), - vec![ - Arc::new(UInt64Array::from_iter_values(edges.iter().map(|e| e.0))), - Arc::new(UInt64Array::from_iter_values(edges.iter().map(|e| e.1))), - ], - ) - .unwrap()) - }) - .collect::>(); - Box::pin(RecordBatchStreamAdapter::new( - schema, - futures::stream::iter(batches), - )) - } - - #[tokio::test] - async fn direct_representatives_handle_chains_orientation_and_uint64() { - let high = u64::MAX - 2; - let pairs = [ - (2, 1), - (1, 0), - (high + 2, high + 1), - (high, high + 1), - (1, 0), - ]; - let (removed, representatives) = - select_representatives(edges(&pairs, 1), SORT_MEMORY_BYTES) - .await - .unwrap(); - assert_eq!(removed.iter().collect::>(), [1, high + 1]); - assert_eq!(representatives.iter().collect::>(), [0, high]); - } - - #[tokio::test] - async fn masks_reject_overlapping_representatives_and_corrupt_artifacts() { - let dir = tempfile::tempdir().unwrap(); - let schema = Arc::new(Schema::new(vec![Field::new("id", DataType::UInt64, false)])); - let batch = RecordBatch::try_new( - schema.clone(), - vec![Arc::new(UInt64Array::from(vec![0, 1, 2]))], - ) - .unwrap(); - let ds = Dataset::write( - arrow_array::RecordBatchIterator::new(vec![Ok(batch)], schema), - dir.path().join("source.lance").to_str().unwrap(), - None, - ) - .await - .unwrap(); - let first = persist_masks( - &ds, - &ds, - [1].into_iter().collect(), - [0].into_iter().collect(), - ) - .await - .unwrap(); - let second = persist_masks( - &ds, - &ds, - [2].into_iter().collect(), - [1].into_iter().collect(), - ) - .await - .unwrap(); - let receipt = |masks| WrittenDedupUnit { - unit: 0, - plan_id: "test".into(), - masks, - fragments: vec![], - rows: 0, - }; - let first = receipt(first); - let second = receipt(second); - assert_eq!( - load_masks(&ds, 0, &[&first]).await.unwrap(), - [1].into_iter().collect() - ); - assert!( - load_masks(&ds, 0, &[&first, &second]) - .await - .unwrap_err() - .to_string() - .contains("overlapping") - ); - let file = &first.masks[0]; - ds.object_store(None) - .await - .unwrap() - .put( - &ds.indices_dir() - .join(file.object_id.to_string()) - .join(MASK_FILE), - &vec![0; file.bytes], - ) - .await - .unwrap(); - assert!( - load_masks(&ds, 0, &[&first]) - .await - .unwrap_err() - .to_string() - .contains("checksum") - ); - } - - #[tokio::test] - async fn external_sort_handles_more_edges_than_its_budget() { - let pairs = (0..262144) - .rev() - .map(|i| ((i + 1) as u64, i as u64)) - .collect::>(); - let (removed, reps) = select_representatives(edges(&pairs, 4096), 2 * 1024 * 1024) - .await - .unwrap(); - assert_eq!(removed.len(), 131072); - assert_eq!(reps.len(), 131072); - assert!(removed.iter().all(|id| id % 2 == 1)); - assert!(reps.iter().all(|id| id % 2 == 0)); - } -} diff --git a/rust/lancedb/src/remote/db.rs b/rust/lancedb/src/remote/db.rs index 27606cdfe..4f1c3f56c 100644 --- a/rust/lancedb/src/remote/db.rs +++ b/rust/lancedb/src/remote/db.rs @@ -47,6 +47,10 @@ use super::table::RemoteTable; use super::util::parse_server_version; use super::{ARROW_STREAM_CONTENT_TYPE, extract_job_id}; +fn quote_sql_identifier(identifier: &str) -> String { + format!("\"{}\"", identifier.replace('"', "\"\"")) +} + // Request structure for the remote clone table API #[derive(serde::Serialize)] struct RemoteCloneTableRequest { @@ -860,42 +864,22 @@ impl Database for RemoteDatabase { &self, request: CreateMaterializedViewRequest, ) -> Result { - let identifier = build_table_identifier(&request.name, &request.namespace_path)?; - let req = self - .client - .post(&format!("/v1/materialized_view/{identifier}/create")) - .json(&serde_json::json!({ - "query": request.query, - "with_no_data": request.with_no_data, - })); - let (request_id, response) = self.client.send(req).await?; - let response = self.client.check_response(&request_id, response).await?; - let status = response.status(); - let body = response.text().await.err_to_http(request_id.clone())?; - let job_id = extract_job_id(&body); - if request.with_no_data { - return Ok(match job_id { - Some(job_id) => Job::new(Box::new(RemoteJob::new(self.client.clone(), job_id))), - None => Job::new_done(), + return Err(Error::NotSupported { + message: "remote materialized views are always populated by their SQL job" + .to_string(), }); } - if status != StatusCode::ACCEPTED { - return Err(Error::Http { - source: "materialized-view creation with data must return 202 Accepted".into(), - request_id, - status_code: Some(status), - }); - } - let job_id = job_id.ok_or_else(|| Error::Http { - source: "materialized-view creation response did not contain a valid job_id".into(), - request_id, - status_code: Some(status), + let client = self.sql_client.clone().ok_or_else(|| Error::NotSupported { + message: "SQL is unavailable for this remote database client".to_string(), })?; - Ok(Job::new(Box::new(RemoteJob::new( - self.client.clone(), - job_id, - )))) + let namespace = request.namespace_path; + let statement = format!( + "CREATE MATERIALIZED VIEW {} AS {}", + quote_sql_identifier(&request.name), + request.query + ); + Ok(client.submit_as_job(statement, namespace, || async { Ok(()) })) } async fn drop_materialized_view_async( @@ -1547,12 +1531,13 @@ impl Database for RemoteDatabase { let version = parse_server_version(&request_id, &rsp)?; let table_identifier = build_table_identifier(&request.name, &request.namespace_path)?; let cache_key = build_cache_key(&request.name, &request.namespace_path); - let table = Arc::new(RemoteTable::new( + let table = Arc::new(RemoteTable::new_with_sql_client( self.client.clone(), request.name.clone(), request.namespace_path.clone(), table_identifier, version.clone(), + self.sql_client.clone(), )); self.table_cache.insert(cache_key, version).await; @@ -1589,12 +1574,13 @@ impl Database for RemoteDatabase { let version = parse_server_version(&request_id, &rsp)?; let cache_key = build_cache_key(&request.target_table_name, &request.target_namespace_path); - let table = Arc::new(RemoteTable::new( + let table = Arc::new(RemoteTable::new_with_sql_client( self.client.clone(), request.target_table_name.clone(), request.target_namespace_path.clone(), table_identifier, version.clone(), + self.sql_client.clone(), )); self.table_cache.insert(cache_key, version).await; @@ -1607,12 +1593,13 @@ impl Database for RemoteDatabase { // Every open gets its own checkout, schema cache, and freshness state. if let Some(version) = self.table_cache.get(&cache_key).await { - Ok(Arc::new(RemoteTable::new( + Ok(Arc::new(RemoteTable::new_with_sql_client( self.client.clone(), request.name, request.namespace_path, identifier, version, + self.sql_client.clone(), ))) } else { // Describe the table to confirm it exists before moving on. @@ -1625,12 +1612,13 @@ impl Database for RemoteDatabase { let rsp = self.client.check_response(&request_id, rsp).await?; let version = parse_server_version(&request_id, &rsp)?; let describe_body = rsp.text().await.ok(); - let table = Arc::new(RemoteTable::new( + let table = Arc::new(RemoteTable::new_with_sql_client( self.client.clone(), request.name.clone(), request.namespace_path.clone(), identifier, version.clone(), + self.sql_client.clone(), )); // This describe already carries the schema, so hand it to the table // instead of making the first schema read fetch it again. A version or @@ -1957,29 +1945,11 @@ mod tests { } #[tokio::test] - async fn test_create_materialized_view_uses_item_route_and_job() { - let db = super::RemoteDatabase::new_mock(|request| { - assert_eq!(request.method(), "POST"); - assert_eq!( - request.url().path(), - "/v1/materialized_view/analytics$adults/create" - ); - let body = request - .body() - .and_then(reqwest::Body::as_bytes) - .and_then(|bytes| serde_json::from_slice::(bytes).ok()) - .unwrap(); - assert_eq!( - body["query"], - "SELECT age AS \"age\" FROM \"raw\".\"people\" WHERE age >= 18 LIMIT 10" - ); - assert_eq!(body["with_no_data"], false); - http::Response::builder() - .status(202) - .body(serde_json::json!({"job_id": "j1-mv-create"}).to_string()) - .unwrap() + async fn test_create_materialized_view_requires_sql_client() { + let db = super::RemoteDatabase::new_mock(|request| -> http::Response { + panic!("unexpected REST request: {}", request.url().path()) }); - let job = db + let error = db .create_materialized_view_async(CreateMaterializedViewRequest { name: "adults".into(), namespace_path: vec!["analytics".into()], @@ -1988,8 +1958,8 @@ mod tests { with_no_data: false, }) .await - .unwrap(); - assert_eq!(job.id(), Some("j1-mv-create")); + .unwrap_err(); + assert!(error.to_string().contains("SQL is unavailable")); } #[tokio::test] diff --git a/rust/lancedb/src/remote/sql.rs b/rust/lancedb/src/remote/sql.rs index 489158922..e8ddcf6ff 100644 --- a/rust/lancedb/src/remote/sql.rs +++ b/rust/lancedb/src/remote/sql.rs @@ -3,6 +3,7 @@ use std::collections::HashMap; use std::fs; +use std::future::{Future, pending}; use std::sync::atomic::{AtomicBool, Ordering}; use std::sync::{Arc, Mutex as StdMutex, OnceLock}; use std::time::{Duration, Instant}; @@ -20,12 +21,14 @@ use arrow_schema::{Schema, SchemaRef}; use futures::TryStreamExt; use http::header::{HeaderMap, HeaderName, HeaderValue}; use prost::Message; -use tokio::sync::{Mutex, Notify, OnceCell, mpsc}; +use serde::{Serialize, de::DeserializeOwned}; +use tokio::sync::{Mutex, Notify, OnceCell, mpsc, watch}; use tonic::transport::{Certificate, Channel, ClientTlsConfig, Endpoint, Identity}; use uuid::Uuid; use crate::arrow::{SendableRecordBatchStream, SimpleRecordBatchStream}; use crate::error::{Error, Result}; +use crate::job::Job; use crate::remote::client::{ClientConfig, TlsConfig}; use crate::remote::retry::ResolvedRetryConfig; use crate::sql::{Query, QueryDescription, QueryHandle, QueryStatus}; @@ -209,6 +212,42 @@ impl SqlClient { .await } + pub(super) fn submit_as_job( + &self, + statement: String, + namespace: Vec, + finish: F, + ) -> Job + where + T: Clone + Serialize + DeserializeOwned + Send + Sync + 'static, + F: FnOnce() -> Fut + Send + 'static, + Fut: Future> + Send + 'static, + { + let client = self.clone(); + let (query_tx, query_rx) = watch::channel(None::>); + let task = tokio::spawn(async move { + let query = Arc::new(client.submit(&statement, &namespace).await?); + query_tx.send_replace(Some(query.clone())); + let mut reader = query.reader().await?; + while reader.try_next().await?.is_some() {} + finish().await + }); + Job::spawned_with_cancellation(task, move || { + let mut query_rx = query_rx.clone(); + async move { + loop { + let query = query_rx.borrow().clone(); + if let Some(query) = query { + return query.cancel().await; + } + if query_rx.changed().await.is_err() { + pending::<()>().await; + } + } + } + }) + } + pub(super) async fn describe(&self, query_id: Uuid) -> Result { let query = self .queries diff --git a/rust/lancedb/src/remote/sql_test.rs b/rust/lancedb/src/remote/sql_test.rs index d20ba495f..0d7efc9c4 100644 --- a/rust/lancedb/src/remote/sql_test.rs +++ b/rust/lancedb/src/remote/sql_test.rs @@ -21,7 +21,10 @@ use super::*; use crate::database::Database; use crate::remote::RemoteCatalogOptions; use crate::remote::client::HeaderProvider; +use crate::remote::client::test_utils::client_with_handler; use crate::remote::db::RemoteDatabase; +use crate::remote::table::RemoteTable; +use crate::table::BaseTable; #[derive(Debug, Default)] struct DelayedHeaderProvider { @@ -73,6 +76,7 @@ struct TestSqlService { first_continuation_count: Arc, transient_poll_failures: Arc, headers: Arc>>, + gate_refresh_release: Arc, result: RecordBatch, large_result: RecordBatch, dictionary_result: RecordBatch, @@ -121,6 +125,7 @@ impl Default for TestSqlService { first_continuation_count: Arc::new(AtomicUsize::new(0)), transient_poll_failures: Arc::new(AtomicUsize::new(0)), headers: Arc::new(std::sync::Mutex::new(Vec::new())), + gate_refresh_release: Arc::new(Notify::new()), result, large_result, dictionary_result, @@ -279,6 +284,7 @@ impl FlightService for TestSqlService { ) -> std::result::Result::DoGetStream>, Status> { self.do_get_count.fetch_add(1, Ordering::SeqCst); let ticket = request.get_ref().ticket.as_ref(); + let gate_refresh = ticket == b"REFRESH MATERIALIZED VIEW \"cancel_view\""; let empty = ticket == b"SELECT empty"; let slow = ticket == b"SELECT slow get"; let large = ticket == b"SELECT large message"; @@ -290,7 +296,11 @@ impl FlightService for TestSqlService { self.result.clone() }; let schema = result.schema(); + let gate_refresh_release = self.gate_refresh_release.clone(); let input = futures::stream::once(async move { + if gate_refresh { + gate_refresh_release.notified().await; + } if slow { tokio::time::sleep(Duration::from_millis(250)).await; } @@ -446,6 +456,147 @@ async fn catalog_connections_use_explicit_sql_endpoint_and_database_scope() { server.await.unwrap().unwrap(); } +#[tokio::test] +async fn remote_refresh_twice_keeps_latest_selector() { + let listener = tokio::net::TcpListener::bind("127.0.0.1:0").await.unwrap(); + let address = listener.local_addr().unwrap(); + let incoming = futures::stream::try_unfold(listener, |listener| async { + let (socket, _) = listener.accept().await?; + Ok::<_, std::io::Error>(Some((socket, listener))) + }); + let service = TestSqlService::default(); + let (shutdown_tx, shutdown_rx) = tokio::sync::oneshot::channel(); + let server = tokio::spawn( + tonic::transport::Server::builder() + .add_service(FlightServiceServer::new(service)) + .serve_with_incoming_shutdown(incoming, async { + let _ = shutdown_rx.await; + }), + ); + let sql_client = SqlClient::new( + "analytics".into(), + None, + "test-key".into(), + None, + Some(format!("grpc://{address}")), + ClientConfig::default(), + ); + let selectors = Arc::new(std::sync::Mutex::new(Vec::new())); + let captured = selectors.clone(); + let client = client_with_handler(move |request| { + let body = request + .body() + .and_then(reqwest::Body::as_bytes) + .and_then(|bytes| serde_json::from_slice::(bytes).ok()) + .unwrap(); + captured.lock().unwrap().push(body["version"].clone()); + let text = match request.url().path() { + "/v1/table/ns$view/describe/" => r#"{"version": 42, "schema": {"fields": []}}"#, + "/v1/table/ns$view/count_rows/" => "2", + other => panic!("unexpected REST request: {other}"), + }; + http::Response::builder() + .status(200) + .body(text.to_string()) + .unwrap() + }); + let table = RemoteTable::new_with_sql_client( + client, + "view".into(), + vec!["ns".into()], + "ns$view".into(), + Default::default(), + Some(sql_client), + ); + + let first = table + .refresh_materialized_view_async(None) + .await + .unwrap() + .wait() + .await + .unwrap(); + let second = table + .refresh_materialized_view_async(None) + .await + .unwrap() + .wait() + .await + .unwrap(); + + assert_eq!(first.version, 42); + assert_eq!(second.version, 42); + assert!( + selectors + .lock() + .unwrap() + .iter() + .all(serde_json::Value::is_null) + ); + shutdown_tx.send(()).unwrap(); + server.await.unwrap().unwrap(); +} + +#[tokio::test] +async fn cancelling_remote_refresh_cancels_sql_query() { + let listener = tokio::net::TcpListener::bind("127.0.0.1:0").await.unwrap(); + let address = listener.local_addr().unwrap(); + let incoming = futures::stream::try_unfold(listener, |listener| async { + let (socket, _) = listener.accept().await?; + Ok::<_, std::io::Error>(Some((socket, listener))) + }); + let service = TestSqlService::default(); + let cancel_count = service.cancel_count.clone(); + let do_get_count = service.do_get_count.clone(); + let gate_refresh_release = service.gate_refresh_release.clone(); + let (shutdown_tx, shutdown_rx) = tokio::sync::oneshot::channel(); + let server = tokio::spawn( + tonic::transport::Server::builder() + .add_service(FlightServiceServer::new(service)) + .serve_with_incoming_shutdown(incoming, async { + let _ = shutdown_rx.await; + }), + ); + let sql_client = SqlClient::new( + "analytics".into(), + None, + "test-key".into(), + None, + Some(format!("grpc://{address}")), + ClientConfig::default(), + ); + let client = client_with_handler(|request| -> http::Response { + panic!( + "cancelled refresh must not read result metadata: {}", + request.url().path() + ); + }); + let table = RemoteTable::new_with_sql_client( + client, + "cancel_view".into(), + vec![], + "cancel_view".into(), + Default::default(), + Some(sql_client), + ); + let job = table.refresh_materialized_view_async(None).await.unwrap(); + tokio::time::timeout(Duration::from_secs(10), async { + while do_get_count.load(Ordering::SeqCst) == 0 { + tokio::task::yield_now().await; + } + }) + .await + .unwrap(); + + job.cancel().await.unwrap(); + assert!(matches!(job.wait().await, Err(Error::JobCancelled { .. }))); + assert_eq!(cancel_count.load(Ordering::SeqCst), 1); + + gate_refresh_release.notify_one(); + shutdown_tx.send(()).unwrap(); + server.await.unwrap().unwrap(); +} + #[tokio::test] async fn submits_polls_fetches_cancels_and_reuses_client() { let listener = std::net::TcpListener::bind("127.0.0.1:0").unwrap(); diff --git a/rust/lancedb/src/remote/table.rs b/rust/lancedb/src/remote/table.rs index 898681fa7..cd9e9ab64 100644 --- a/rust/lancedb/src/remote/table.rs +++ b/rust/lancedb/src/remote/table.rs @@ -8,6 +8,7 @@ use self::insert::{RemoteWriteExec, WriteOp}; use super::client::RequestResultExt; use super::client::{HttpSend, RestfulLanceDbClient, Sender}; use super::db::ServerVersion; +use super::sql::SqlClient; use super::{ARROW_FILE_CONTENT_TYPE, ARROW_STREAM_CONTENT_TYPE, extract_job_id}; use crate::blob::BlobFile; use crate::data::scannable::{PeekedScannable, Scannable, estimate_write_partitions}; @@ -18,7 +19,7 @@ use crate::index::scalar::FtsQuery; use crate::index::waiter::wait_for_index; use crate::job::Job; use crate::materialized_view::{ - MaterializedViewDefinition, MaterializedViewInfo, RefreshMaterializedViewResult, ViewProjection, + MaterializedViewDefinition, MaterializedViewInfo, RefreshMaterializedViewResult, }; use crate::query::wal_fusion::PkFusionMemory; // WAL-PK-FUSION: delete. use crate::query::{QueryFilter, QueryRequest, Select, VectorQueryRequest}; @@ -264,7 +265,6 @@ struct FreshnessJob { enum TrackedJobResult { None, RefreshColumn, - MaterializedView, } #[async_trait] @@ -305,11 +305,6 @@ impl crate::job::JobHandle for FreshnessJob { }) }) }), - TrackedJobResult::MaterializedView => result.value().and_then(|value| { - serde_json::from_value::(value.clone()) - .ok() - .map(|result| result.version) - }), } .filter(|version| *version != 0); if let Some(version) = result_version { @@ -347,6 +342,10 @@ fn compute_min_timestamp( } } +fn quote_sql_identifier(identifier: &str) -> String { + format!("\"{}\"", identifier.replace('"', "\"\"")) +} + fn freshness_headers_snapshot( freshness: &Mutex, interval: Option, @@ -496,6 +495,7 @@ pub struct RemoteTable { namespace: Vec, identifier: String, server_version: ServerVersion, + sql_client: Option, version: Arc>>, location: RwLock>, @@ -654,12 +654,13 @@ impl RemoteTable { Ok(job_id) } - pub fn new( + pub(super) fn new_with_sql_client( client: RestfulLanceDbClient, name: String, namespace: Vec, identifier: String, server_version: ServerVersion, + sql_client: Option, ) -> Self { Self { client, @@ -667,6 +668,7 @@ impl RemoteTable { namespace, identifier, server_version, + sql_client, version: Arc::new(RwLock::new(None)), location: RwLock::new(None), schema_cache: BackgroundCache::new(SCHEMA_CACHE_TTL, SCHEMA_CACHE_REFRESH_WINDOW), @@ -701,6 +703,7 @@ impl RemoteTable { namespace: self.namespace.clone(), identifier: self.identifier.clone(), server_version: self.server_version.clone(), + sql_client: self.sql_client.clone(), version: Arc::new(RwLock::new(None)), location: RwLock::new(None), schema_cache: BackgroundCache::new(SCHEMA_CACHE_TTL, SCHEMA_CACHE_REFRESH_WINDOW), @@ -1619,6 +1622,7 @@ mod test_utils { namespace: vec![], identifier: name, server_version: version.map(ServerVersion).unwrap_or_default(), + sql_client: None, version: Arc::new(RwLock::new(None)), location: RwLock::new(None), schema_cache: BackgroundCache::new(SCHEMA_CACHE_TTL, SCHEMA_CACHE_REFRESH_WINDOW), @@ -1644,6 +1648,7 @@ mod test_utils { namespace: vec![], identifier: name, server_version: ServerVersion::default(), + sql_client: None, version: Arc::new(RwLock::new(None)), location: RwLock::new(None), schema_cache: BackgroundCache::new(SCHEMA_CACHE_TTL, SCHEMA_CACHE_REFRESH_WINDOW), @@ -1678,6 +1683,7 @@ mod test_utils { namespace: vec![], identifier: name, server_version: version.map(ServerVersion).unwrap_or_default(), + sql_client: None, version: Arc::new(RwLock::new(None)), location: RwLock::new(None), schema_cache: BackgroundCache::new(SCHEMA_CACHE_TTL, SCHEMA_CACHE_REFRESH_WINDOW), @@ -2106,29 +2112,9 @@ impl BaseTable for RemoteTable { &self.identifier } async fn materialized_view_info(&self) -> Result { - #[derive(Deserialize)] - struct Projection { - output_column: String, - expression: String, - } - #[derive(Deserialize)] struct DescribeMaterializedViewResponse { - source_table: String, - #[serde(default)] - source_namespace: Vec, - #[serde(default)] - projections: Vec, - #[serde(default)] - filter: Option, - #[serde(default)] - limit: Option, - /// The defining query, once the server describes a view by it; - /// takes precedence over the structured fields. - #[serde(default)] - query: Option, - #[serde(default)] - incarnation: Option, + query: String, } let request = self.client.post(&format!( @@ -2139,79 +2125,64 @@ impl BaseTable for RemoteTable { let response = self.check_table_response(&request_id, response).await?; let response: DescribeMaterializedViewResponse = response.json().await.err_to_http(request_id)?; - let definition = match response.query { - Some(query) => MaterializedViewDefinition::from_sql(&query)?, - None => MaterializedViewDefinition { - vector_source: None, - source_table: response.source_table, - source_namespace: response.source_namespace, - lateral: None, - projections: response - .projections - .into_iter() - .map(|projection| ViewProjection { - output: projection.output_column, - expression: projection.expression, - }) - .collect(), - filter: response.filter, - group_by: Vec::new(), - limit: response.limit, - }, - }; + let parsed_definition = MaterializedViewDefinition::from_sql(&response.query).ok(); Ok(MaterializedViewInfo { - definition, - incarnation: response.incarnation, + definition_sql: response.query, + parsed_definition, }) } async fn refresh_materialized_view_async( &self, - full: bool, source_version: Option, - expected_incarnation: Option<&str>, ) -> Result> { self.check_mutable().await?; - let mut body = serde_json::json!({ "full": full }); - if let Some(source_version) = source_version { - body["source_version"] = source_version.into(); - } - if let Some(expected_incarnation) = expected_incarnation { - body["expected_incarnation"] = expected_incarnation.into(); - } - let request = self - .client - .post(&format!( - "/v1/materialized_view/{}/refresh", - self.identifier - )) - .json(&body); - let freshness_request = self.snapshot_freshness_headers(); - let (request_id, response) = self - .send_with_freshness(request, true, freshness_request) - .await?; - let response = self.check_table_response(&request_id, response).await?; - let status = response.status(); - let body = response.text().await.err_to_http(request_id.clone())?; - if status != StatusCode::ACCEPTED { - return Err(Error::Http { - source: "materialized-view refresh must return 202 Accepted".into(), - request_id, - status_code: Some(status), + if source_version.is_some() { + return Err(Error::NotSupported { + message: "source-version pinning is available only for local materialized views" + .to_string(), }); } - let job_id = extract_job_id(&body).ok_or_else(|| Error::Http { - source: "materialized-view refresh response did not contain a valid job_id".into(), - request_id, - status_code: Some(status), + let sql_client = self.sql_client.clone().ok_or_else(|| Error::NotSupported { + message: "SQL is unavailable for this remote table client".to_string(), })?; - Ok(Job::new_typed(Box::new(FreshnessJob { - inner: RemoteJob::new(self.client.clone(), job_id), - freshness: self.freshness.clone(), - version: self.version.clone(), - tracked_result: TrackedJobResult::MaterializedView, - freshness_request, - }))) + let statement = format!( + "REFRESH MATERIALIZED VIEW {}", + quote_sql_identifier(&self.name) + ); + let namespace = self.namespace.clone(); + let client = self.client.clone(); + let name = self.name.clone(); + let identifier = self.identifier.clone(); + let server_version = self.server_version.clone(); + let freshness = self.freshness.clone(); + let freshness_request = self.snapshot_freshness_headers(); + let job_sql_client = sql_client.clone(); + Ok( + sql_client.submit_as_job(statement, namespace.clone(), move || async move { + let table = Self::new_with_sql_client( + client, + name, + namespace, + identifier, + server_version, + Some(job_sql_client), + ); + table.checkout_latest().await?; + let version = table.version().await?; + let rows_written = + u64::try_from(table.count_rows(None).await?).map_err(|_| Error::Runtime { + message: "materialized-view row count exceeds u64".to_string(), + })?; + freshness_request.observe_version(&freshness, version); + Ok(RefreshMaterializedViewResult { + mode: crate::materialized_view::RefreshMode::Rebuild, + rows_written, + source_version: 0, + version, + }) + }), + ) } async fn query_snapshot(&self) -> Result> { let description = self.describe().await?; @@ -12976,54 +12947,16 @@ mod tests { } #[tokio::test] - async fn test_materialized_view_describe_and_refresh() { + async fn test_materialized_view_describe_and_refresh_requires_sql() { + const QUERY: &str = + "SELECT s.x, d.label FROM analytics.source s JOIN analytics.dim d ON s.id = d.id"; let table = Table::new_with_handler("my_table", |request| match request.url().path() { "/v1/materialized_view/my_table/describe" => http::Response::builder() .status(200) .body( json!({ "name": "my_table", - "source_table": "source", - "source_namespace": ["analytics"], - "projections": [{ - "output_column": "double_x", - "expression": "x * 2" - }], - "filter": "x > 0", - "limit": 10, - "inputs": ["x"], - "incarnation": "inc-1" - }) - .to_string(), - ) - .unwrap(), - "/v1/materialized_view/my_table/refresh" => { - assert_eq!(request.method(), "POST"); - assert_eq!( - request_body_json(&request), - json!({ - "full": true, - "source_version": 7, - "expected_incarnation": "inc-1" - }) - ); - http::Response::builder() - .status(202) - .body(json!({"job_id": "j1-mv-refresh"}).to_string()) - .unwrap() - } - "/v1/jobs/describe" => http::Response::builder() - .status(200) - .body( - json!({ - "job_id": "j1-mv-refresh", - "job_state": "DONE", - "result": { - "mode": "rebuild", - "rows_written": 2, - "source_version": 7, - "version": 9 - } + "query": QUERY }) .to_string(), ) @@ -13031,21 +12964,10 @@ mod tests { path => panic!("unexpected request: {path}"), }); let view = crate::MaterializedView::from_table(table).await.unwrap(); - assert_eq!(view.definition().source_table, "source"); - assert_eq!(view.definition().source_namespace, ["analytics"]); - assert_eq!(view.incarnation(), Some("inc-1")); - - let result = view - .refresh() - .full(true) - .source_version(7) - .expect_incarnation("inc-1") - .execute() - .await - .unwrap(); - assert_eq!(result.mode, crate::RefreshMode::Rebuild); - assert_eq!(result.rows_written, 2); - assert_eq!(result.version, 9); + assert_eq!(view.definition_sql(), QUERY); + assert!(view.definition().is_err()); + let error = view.refresh().execute().await.unwrap_err(); + assert!(error.to_string().contains("SQL is unavailable")); } #[tokio::test] diff --git a/rust/lancedb/src/table.rs b/rust/lancedb/src/table.rs index ea6e512fd..cf7fcc145 100644 --- a/rust/lancedb/src/table.rs +++ b/rust/lancedb/src/table.rs @@ -563,7 +563,7 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { fn id(&self) -> &str; /// Get the arrow [Schema] of the table. async fn schema(&self) -> Result; - /// Read this table's materialized-view definition and incarnation. + /// Read this table's materialized-view definition. #[doc(hidden)] async fn materialized_view_info( &self, @@ -578,9 +578,7 @@ pub trait BaseTable: std::fmt::Display + std::fmt::Debug + Send + Sync { #[doc(hidden)] async fn refresh_materialized_view_async( &self, - _full: bool, _source_version: Option, - _expected_incarnation: Option<&str>, ) -> Result> { Err(Error::NotSupported { message: "remote materialized-view refresh is not supported on this table type".into(), diff --git a/rust/lancedb/src/table/datafusion/udtf/vector_query.rs b/rust/lancedb/src/table/datafusion/udtf/vector_query.rs index 0d4f23d92..000addbe1 100644 --- a/rust/lancedb/src/table/datafusion/udtf/vector_query.rs +++ b/rust/lancedb/src/table/datafusion/udtf/vector_query.rs @@ -6,11 +6,15 @@ use std::sync::Arc; -use arrow_schema::SchemaRef; +use arrow_array::{RecordBatch, UInt64Array}; +use arrow_schema::{DataType, Field, Schema, SchemaRef}; use async_trait::async_trait; +use datafusion::prelude::{SessionConfig, SessionContext, col}; use datafusion_catalog::{Session, TableProvider}; -use datafusion_common::{Result, plan_err}; -use datafusion_execution::{SendableRecordBatchStream, TaskContext}; +use datafusion_common::{DataFusionError, Result, plan_err}; +use datafusion_execution::{ + SendableRecordBatchStream, TaskContext, runtime_env::RuntimeEnvBuilder, +}; use datafusion_expr::{Expr, TableType}; use datafusion_physical_expr::{EquivalenceProperties, Partitioning}; use datafusion_physical_plan::{ @@ -25,7 +29,9 @@ use futures::{TryStreamExt, stream}; use lance::dataset::scanner::{RowAddrMask, RowAddrTreeMap}; use lance::{Dataset, index::DatasetIndexInternalExt}; use lance_core::datatypes::BlobHandling; +use lance_datafusion::exec::SessionContextExt; use lance_index::metrics::NoOpMetricsCollector; +use roaring::RoaringTreemap; use super::duplicate_pairs::{ DuplicatePairTask, DuplicatePairsConfig, DuplicatePairsExec, DuplicatePairsOutput, @@ -36,6 +42,84 @@ use crate::table::{NativeTableExt, datafusion::BaseTableAdapter}; const REPRESENTATIVE_SORT_MEMORY_BYTES: usize = 256 * 1024 * 1024; const MATERIALIZE_BATCH_ROWS: usize = 1024; +fn edge_schema() -> SchemaRef { + Arc::new(Schema::new(vec![ + Field::new("a", DataType::UInt64, false), + Field::new("b", DataType::UInt64, false), + ])) +} + +/// Sorting canonical edges makes the first unremoved endpoint the smallest +/// unassigned representative. The sort spills; only vertex masks stay in RAM. +async fn select_representatives( + stream: SendableRecordBatchStream, + memory: usize, +) -> crate::Result<(RoaringTreemap, RoaringTreemap)> { + let schema = edge_schema(); + let batch_schema = schema.clone(); + let canonical = stream + .map_ok(move |batch| { + let a = batch + .column(0) + .as_any() + .downcast_ref::() + .expect("native row id"); + let b = batch + .column(1) + .as_any() + .downcast_ref::() + .expect("native row id"); + RecordBatch::try_new( + batch_schema.clone(), + vec![ + Arc::new(UInt64Array::from_iter_values( + a.values().iter().zip(b.values()).map(|(&a, &b)| a.min(b)), + )), + Arc::new(UInt64Array::from_iter_values( + a.values().iter().zip(b.values()).map(|(&a, &b)| a.max(b)), + )), + ], + ) + .map_err(DataFusionError::from) + }) + .and_then(futures::future::ready); + let canonical = Box::pin(RecordBatchStreamAdapter::new(schema, canonical)); + let mut config = SessionConfig::default().with_batch_size(MATERIALIZE_BATCH_ROWS); + config.options_mut().execution.sort_spill_reservation_bytes = memory / 2; + let ctx = SessionContext::new_with_config_rt( + config, + RuntimeEnvBuilder::new() + .with_memory_limit(memory, 1.0) + .build_arc()?, + ); + let mut sorted = ctx + .read_one_shot(canonical)? + .sort_by(vec![col("a"), col("b")])? + .execute_stream() + .await?; + let mut removed = RoaringTreemap::new(); + let mut representatives = RoaringTreemap::new(); + while let Some(batch) = sorted.try_next().await? { + let a = batch + .column(0) + .as_any() + .downcast_ref::() + .expect("sorted id"); + let b = batch + .column(1) + .as_any() + .downcast_ref::() + .expect("sorted id"); + for (&a, &b) in a.values().iter().zip(b.values()) { + if a != b && !removed.contains(a) && !removed.contains(b) { + representatives.insert(a); + removed.insert(b); + } + } + } + Ok((removed, representatives)) +} + /// Select nonempty physical IVF scopes before dispatch, never by filtering the /// resulting pairs. A count spans all segments; partition IDs are segment-local. #[derive(Debug, Clone, Default)] @@ -322,12 +406,9 @@ impl ExecutionPlan for VectorDedupExec { let dataset = self.dataset.clone(); let pairs = CoalescePartitionsExec::new(self.pairs.clone()).execute(0, context)?; let stream = stream::once(async move { - let (removed, _) = crate::materialized_view::vector_dedup::select_representatives( - pairs, - REPRESENTATIVE_SORT_MEMORY_BYTES, - ) - .await - .map_err(|e| datafusion_common::DataFusionError::External(Box::new(e)))?; + let (removed, _) = select_representatives(pairs, REPRESENTATIVE_SORT_MEMORY_BYTES) + .await + .map_err(|e| datafusion_common::DataFusionError::External(Box::new(e)))?; let mut scanner = dataset.scan(); scanner .with_row_addr_prefilter(RowAddrMask::from_block(RowAddrTreeMap::from_iter( diff --git a/rust/lancedb/tests/duplicate_pairs.rs b/rust/lancedb/tests/duplicate_pairs.rs index f7d7ed3a2..63f1c9f5a 100644 --- a/rust/lancedb/tests/duplicate_pairs.rs +++ b/rust/lancedb/tests/duplicate_pairs.rs @@ -289,127 +289,6 @@ async fn sql_pairs_match_native_snapshot_and_partition_tasks() -> anyhow::Result ); let retry = ctx.sql(&sql).await?.collect().await?; assert_eq!(pairs(&retry), pairs(&actual)); - // The same table function can be maintained through the MV unit - // lifecycle. Staging attempts do not make any rows visible. - use lancedb::materialized_view::{ - MaterializedViewDefinition, commit_partitioned_refresh, plan_partitioned_refresh, - prepare_definition, write_refresh_partition, - }; - let view_name = format!("pairs_{}", threshold.to_bits()); - let view = prepare_definition(&table, MaterializedViewDefinition::from_sql(&sql)?) - .await? - .create(&view_name) - .await?; - assert_eq!(view.table().schema().await?.fields().len(), 3); - let plan = plan_partitioned_refresh(view.table(), Some(version)) - .await? - .unwrap(); - assert_eq!(plan.units() as usize, tasks.len()); - let plan = serde_json::from_slice(&serde_json::to_vec(&plan)?)?; - let first = write_refresh_partition(view.table(), 0, &plan).await?; - assert_eq!(view.table().count_rows(None).await?, 0); - assert!( - commit_partitioned_refresh( - view.table(), - &plan, - vec![first.clone(), first.clone()], - view.incarnation() - ) - .await - .is_err() - ); - // Lost receipt: its files remain unreferenced; the retry writes - // another attempt, of which only one receipt is ever committed. - drop(write_refresh_partition(view.table(), 0, &plan).await?); - let mut units = vec![first]; - for unit in 1..plan.units() { - units.push(write_refresh_partition(view.table(), unit, &plan).await?); - } - assert_eq!(view.table().count_rows(None).await?, 0); - let outcome = - commit_partitioned_refresh(view.table(), &plan, units.clone(), view.incarnation()) - .await?; - assert_eq!(outcome.rows_written as usize, pairs(&expected).len()); - assert!( - commit_partitioned_refresh(view.table(), &plan, units, view.incarnation()) - .await - .is_err() - ); - use lancedb::query::ExecutableQuery; - let written = view - .table() - .query() - .execute() - .await? - .try_collect::>() - .await?; - assert_eq!(pairs(&written), pairs(&expected)); - // Repeating a refresh replaces the view rather than appending. - view.refresh().execute().await?; - assert_eq!( - view.table().count_rows(None).await? as usize, - pairs(&expected).len() - ); - // The complete declarative pipeline keeps direct representatives - // and materializes original rows, including isolated source rows. - use lancedb::materialized_view::write_refresh_partition_with_inputs; - use lancedb::query::QueryBase; - let definition = MaterializedViewDefinition::from_sql(&format!( - "SELECT * FROM vector_dedup('source', {version}, 'vector', {threshold})" - ))?; - let clean = prepare_definition(&table, definition) - .await? - .create(&format!("clean_{}", threshold.to_bits())) - .await?; - let clean_plan = plan_partitioned_refresh(clean.table(), Some(version)) - .await? - .unwrap(); - assert_eq!(clean_plan.dependency_units() as usize, tasks.len()); - assert_eq!(clean_plan.units() as usize, tasks.len() + 2); - let clean_plan: lancedb::materialized_view::PartitionedRefreshPlan = - serde_json::from_slice(&serde_json::to_vec(&clean_plan)?)?; - assert!( - write_refresh_partition(clean.table(), tasks.len() as u32, &clean_plan) - .await - .is_err() - ); - let mut receipts = Vec::new(); - for unit in 0..clean_plan.units() { - let dependencies = &receipts[..receipts.len().min(tasks.len())]; - if unit == 0 || unit == tasks.len() as u32 { - // Both selection and materialization can lose a receipt. - drop( - write_refresh_partition_with_inputs( - clean.table(), - unit, - &clean_plan, - dependencies, - ) - .await?, - ); - } - let receipt = write_refresh_partition_with_inputs( - clean.table(), - unit, - &clean_plan, - dependencies, - ) - .await?; - receipts.push(serde_json::from_slice(&serde_json::to_vec(&receipt)?)?); - } - assert_eq!(clean.table().count_rows(None).await?, 0); - assert!( - commit_partitioned_refresh( - clean.table(), - &clean_plan, - receipts[..receipts.len() - 1].to_vec(), - clean.incarnation() - ) - .await - .is_err() - ); - commit_partitioned_refresh(clean.table(), &clean_plan, receipts, clean.incarnation()) - .await?; let mut edges = pairs(&expected) .into_iter() .map(|(a, b, _)| (a.min(b), a.max(b))) @@ -449,27 +328,6 @@ async fn sql_pairs_match_native_snapshot_and_partition_tasks() -> anyhow::Result } } } - let kept = clean - .table() - .query() - .select(lancedb::query::Select::columns(&["id"])) - .execute() - .await? - .try_collect::>() - .await?; - let mut actual_ids = kept - .iter() - .flat_map(|b| { - b.column(0) - .as_any() - .downcast_ref::() - .unwrap() - .values() - .iter() - .copied() - }) - .collect::>(); - actual_ids.sort_unstable(); expected_ids.sort_unstable(); let mut query_ids = clean_query .iter() @@ -486,14 +344,10 @@ async fn sql_pairs_match_native_snapshot_and_partition_tasks() -> anyhow::Result query_ids.sort_unstable(); assert_eq!(query_ids, expected_ids); - assert_eq!(actual_ids, expected_ids); if threshold == 1.0 { - assert!(actual_ids.contains(&0) && actual_ids.contains(&2)); - assert!(!actual_ids.contains(&1), "A-B-C retains A and C"); + assert!(query_ids.contains(&0) && query_ids.contains(&2)); + assert!(!query_ids.contains(&1), "A-B-C retains A and C"); } - clean.refresh().execute().await?; - assert_eq!(clean.table().count_rows(None).await?, expected_ids.len()); - assert_eq!(table.count_rows(None).await?, n * 2); assert!( DuplicatePairsExec::try_new( ds.clone(), @@ -527,10 +381,8 @@ async fn sql_pairs_match_native_snapshot_and_partition_tasks() -> anyhow::Result } #[tokio::test] -async fn dedup_materializes_blob_payloads_null_vectors_and_snapshot_deletions() -> anyhow::Result<()> -{ +async fn dedup_query_materializes_blob_payloads_and_null_vectors() -> anyhow::Result<()> { use arrow_array::{LargeBinaryArray, StringArray, StructArray, types::Float32Type}; - use lancedb::materialized_view::{MaterializedViewDefinition, prepare_definition}; for stable in [false, true] { let dir = tempfile::tempdir()?; let conn = lancedb::connect(dir.path().to_str().unwrap()) @@ -607,7 +459,6 @@ async fn dedup_materializes_blob_payloads_null_vectors_and_snapshot_deletions() true, ) .await?; - let version = ds.version().version; use lancedb::table::datafusion::udtf::{ duplicate_pairs::DuplicatePairsOutput, vector_query::{PartitionSelection, VectorQueryOptions, VectorQueryTable}, @@ -692,59 +543,6 @@ async fn dedup_materializes_blob_payloads_null_vectors_and_snapshot_deletions() assert_eq!(images.value(i), vec![ids.value(i) as u8; 4096]); } } - let definition = MaterializedViewDefinition::from_sql(&format!( - "SELECT * FROM vector_dedup('source', {version}, 'vector', 1)" - ))?; - let clean = prepare_definition(&table, definition) - .await? - .create("clean") - .await?; - // A later source delete does not change the declared result snapshot. - table.delete("id = 0").await?; - let adapter = BaseTableAdapter::try_new(table.base_table().clone()).await?; - let explicit = adapter.vector_query_snapshot(Some(version)).await?; - let latest = adapter.vector_query_snapshot(None).await?; - assert_eq!(explicit.version().version, version); - assert!(latest.version().version > version); - assert_eq!(explicit.count_rows(None).await?, 5); - assert_eq!(latest.count_rows(None).await?, 4); - clean.refresh().execute().await?; - assert_eq!(clean.table().count_rows(None).await?, 4); - let output = Dataset::open(&clean.table().uri().await?).await?; - let batches = output - .scan() - .blob_handling(lance_core::datatypes::BlobHandling::AllBinary) - .try_into_stream() - .await? - .try_collect::>() - .await?; - let mut ids = Vec::new(); - for batch in batches { - let row_ids = batch - .column_by_name("id") - .unwrap() - .as_any() - .downcast_ref::() - .unwrap(); - let images = batch - .column_by_name("image") - .unwrap() - .as_any() - .downcast_ref::() - .unwrap(); - for i in 0..batch.num_rows() { - let id = row_ids.value(i); - assert_eq!(images.value(i), vec![id as u8; 4096]); - ids.push(id); - } - } - ids.sort_unstable(); - assert_eq!(ids, [0, 2, 3, 4]); - assert_eq!( - table.count_rows(None).await?, - 4, - "refresh must not mutate the source" - ); } Ok(()) } From 81d52a98f881491f7872d3c097537e1d6174a3e5 Mon Sep 17 00:00:00 2001 From: Lance Release Date: Tue, 6 Oct 2026 04:36:25 +0000 Subject: [PATCH 24/25] =?UTF-8?q?Bump=20version:=200.40.0-beta.12=20?= =?UTF-8?q?=E2=86=92=200.40.0-beta.13?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- .bumpversion.toml | 2 +- Cargo.lock | 6 +++--- docs/src/java/java.md | 2 +- java/lancedb-core/pom.xml | 2 +- java/pom.xml | 2 +- nodejs/Cargo.toml | 2 +- nodejs/npm/darwin-arm64/package.json | 2 +- nodejs/npm/linux-arm64-gnu/package.json | 2 +- nodejs/npm/linux-arm64-musl/package.json | 2 +- nodejs/npm/linux-x64-gnu/package.json | 2 +- nodejs/npm/linux-x64-musl/package.json | 2 +- nodejs/npm/win32-arm64-msvc/package.json | 2 +- nodejs/npm/win32-x64-msvc/package.json | 2 +- nodejs/package.json | 2 +- python/Cargo.toml | 2 +- rust/lancedb/Cargo.toml | 2 +- 16 files changed, 18 insertions(+), 18 deletions(-) diff --git a/.bumpversion.toml b/.bumpversion.toml index a6912bed5..353755206 100644 --- a/.bumpversion.toml +++ b/.bumpversion.toml @@ -1,5 +1,5 @@ [tool.bumpversion] -current_version = "0.40.0-beta.12" +current_version = "0.40.0-beta.13" parse = """(?x) (?P0|[1-9]\\d*)\\. (?P0|[1-9]\\d*)\\. diff --git a/Cargo.lock b/Cargo.lock index 77c7412f4..5bcd4c9a3 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -5762,7 +5762,7 @@ dependencies = [ [[package]] name = "lancedb" -version = "0.40.0-beta.12" +version = "0.40.0-beta.13" dependencies = [ "ahash", "anyhow", @@ -5859,7 +5859,7 @@ dependencies = [ [[package]] name = "lancedb-nodejs" -version = "0.40.0-beta.12" +version = "0.40.0-beta.13" dependencies = [ "arrow-array", "arrow-buffer", @@ -5884,7 +5884,7 @@ dependencies = [ [[package]] name = "lancedb-python" -version = "0.40.0-beta.12" +version = "0.40.0-beta.13" dependencies = [ "arc-swap", "arrow", diff --git a/docs/src/java/java.md b/docs/src/java/java.md index 0565156dc..8b31b07b2 100644 --- a/docs/src/java/java.md +++ b/docs/src/java/java.md @@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`: com.lancedb lancedb-core - 0.40.0-beta.12 + 0.40.0-beta.13 ``` diff --git a/java/lancedb-core/pom.xml b/java/lancedb-core/pom.xml index 77635c74e..1458d79f0 100644 --- a/java/lancedb-core/pom.xml +++ b/java/lancedb-core/pom.xml @@ -8,7 +8,7 @@ com.lancedb lancedb-parent - 0.40.0-beta.12 + 0.40.0-beta.13 ../pom.xml diff --git a/java/pom.xml b/java/pom.xml index 9d7249f92..efc956a29 100644 --- a/java/pom.xml +++ b/java/pom.xml @@ -6,7 +6,7 @@ com.lancedb lancedb-parent - 0.40.0-beta.12 + 0.40.0-beta.13 pom ${project.artifactId} LanceDB Java SDK Parent POM diff --git a/nodejs/Cargo.toml b/nodejs/Cargo.toml index 051e16474..cb44cf34a 100644 --- a/nodejs/Cargo.toml +++ b/nodejs/Cargo.toml @@ -1,7 +1,7 @@ [package] name = "lancedb-nodejs" edition.workspace = true -version = "0.40.0-beta.12" +version = "0.40.0-beta.13" publish = false license.workspace = true description.workspace = true diff --git a/nodejs/npm/darwin-arm64/package.json b/nodejs/npm/darwin-arm64/package.json index 051bdb98f..cb3a592d6 100644 --- a/nodejs/npm/darwin-arm64/package.json +++ b/nodejs/npm/darwin-arm64/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-darwin-arm64", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": ["darwin"], "cpu": ["arm64"], "main": "lancedb.darwin-arm64.node", diff --git a/nodejs/npm/linux-arm64-gnu/package.json b/nodejs/npm/linux-arm64-gnu/package.json index 755035ee2..8146e09db 100644 --- a/nodejs/npm/linux-arm64-gnu/package.json +++ b/nodejs/npm/linux-arm64-gnu/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-arm64-gnu", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": ["linux"], "cpu": ["arm64"], "main": "lancedb.linux-arm64-gnu.node", diff --git a/nodejs/npm/linux-arm64-musl/package.json b/nodejs/npm/linux-arm64-musl/package.json index d31737229..b097a423c 100644 --- a/nodejs/npm/linux-arm64-musl/package.json +++ b/nodejs/npm/linux-arm64-musl/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-arm64-musl", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": ["linux"], "cpu": ["arm64"], "main": "lancedb.linux-arm64-musl.node", diff --git a/nodejs/npm/linux-x64-gnu/package.json b/nodejs/npm/linux-x64-gnu/package.json index 618df080d..7c7903607 100644 --- a/nodejs/npm/linux-x64-gnu/package.json +++ b/nodejs/npm/linux-x64-gnu/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-x64-gnu", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": ["linux"], "cpu": ["x64"], "main": "lancedb.linux-x64-gnu.node", diff --git a/nodejs/npm/linux-x64-musl/package.json b/nodejs/npm/linux-x64-musl/package.json index 87628c0c3..5359f6490 100644 --- a/nodejs/npm/linux-x64-musl/package.json +++ b/nodejs/npm/linux-x64-musl/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-linux-x64-musl", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": ["linux"], "cpu": ["x64"], "main": "lancedb.linux-x64-musl.node", diff --git a/nodejs/npm/win32-arm64-msvc/package.json b/nodejs/npm/win32-arm64-msvc/package.json index 65c7b500c..e16f9d7e5 100644 --- a/nodejs/npm/win32-arm64-msvc/package.json +++ b/nodejs/npm/win32-arm64-msvc/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-win32-arm64-msvc", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": [ "win32" ], diff --git a/nodejs/npm/win32-x64-msvc/package.json b/nodejs/npm/win32-x64-msvc/package.json index ad6a81acc..3fd95907f 100644 --- a/nodejs/npm/win32-x64-msvc/package.json +++ b/nodejs/npm/win32-x64-msvc/package.json @@ -1,6 +1,6 @@ { "name": "@lancedb/lancedb-win32-x64-msvc", - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "os": ["win32"], "cpu": ["x64"], "main": "lancedb.win32-x64-msvc.node", diff --git a/nodejs/package.json b/nodejs/package.json index da5dc77b2..9ac9ede63 100644 --- a/nodejs/package.json +++ b/nodejs/package.json @@ -11,7 +11,7 @@ "ann" ], "private": false, - "version": "0.40.0-beta.12", + "version": "0.40.0-beta.13", "main": "dist/index.js", "exports": { ".": "./dist/index.js", diff --git a/python/Cargo.toml b/python/Cargo.toml index 9ba96b55f..b2d398d6c 100644 --- a/python/Cargo.toml +++ b/python/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "lancedb-python" -version = "0.40.0-beta.12" +version = "0.40.0-beta.13" publish = false edition.workspace = true description = "Python bindings for LanceDB" diff --git a/rust/lancedb/Cargo.toml b/rust/lancedb/Cargo.toml index cdb0609d3..b002bdc95 100644 --- a/rust/lancedb/Cargo.toml +++ b/rust/lancedb/Cargo.toml @@ -1,6 +1,6 @@ [package] name = "lancedb" -version = "0.40.0-beta.12" +version = "0.40.0-beta.13" edition.workspace = true description = "LanceDB: A serverless, low-latency vector database for AI applications" license.workspace = true From 17e9a657e6793118d3bd5210e221815f3b624dd8 Mon Sep 17 00:00:00 2001 From: LanceDB Robot Date: Tue, 6 Oct 2026 08:34:45 -0700 Subject: [PATCH 25/25] chore: update lance dependency to v14.0.0-beta.1 (#4445) Updates the Rust workspace Lance dependencies, Cargo lockfile, and Java lance-core to [v14.0.0-beta.1](https://github.com/lance-format/lance/releases/tag/v14.0.0-beta.1). No compatibility fixes were required. Validation passed: `cargo clippy --quiet --workspace --tests --all-features -- -D warnings`, `cargo fmt --all --quiet`, and `git diff --check`. --------- Co-authored-by: Wyatt Alt --- .github/workflows/rust.yml | 39 ++--------------- Cargo.lock | 88 +++++++++++++++++++------------------- Cargo.toml | 30 ++++++------- java/pom.xml | 2 +- python/Cargo.toml | 2 +- 5 files changed, 65 insertions(+), 96 deletions(-) diff --git a/.github/workflows/rust.yml b/.github/workflows/rust.yml index 585abf5ee..cbfefc83d 100644 --- a/.github/workflows/rust.yml +++ b/.github/workflows/rust.yml @@ -285,7 +285,7 @@ jobs: runs-on: ubuntu-24.04 strategy: matrix: - msrv: ["1.91.0"] # This should match up with rust-version in Cargo.toml + msrv: ["1.94.0"] # This should match up with rust-version in Cargo.toml env: # Need up-to-date compilers for kernels CC: clang-18 @@ -308,40 +308,9 @@ jobs: # unreadable outside their own branch anyway, since GitHub scopes # caches to the creating ref. save-if: ${{ github.ref == 'refs/heads/main' }} - - name: Downgrade dependencies - # These packages have newer requirements for MSRV - run: | - cargo update -p aws-sdk-bedrockruntime --precise 1.77.0 - cargo update -p aws-sdk-dynamodb --precise 1.68.0 - cargo update -p aws-config --precise 1.6.0 - cargo update -p aws-sdk-kms --precise 1.63.0 - cargo update -p aws-sdk-s3 --precise 1.79.0 - cargo update -p aws-sdk-sso --precise 1.62.0 - cargo update -p aws-sdk-ssooidc --precise 1.63.0 - cargo update -p aws-sdk-sts --precise 1.63.0 - # aws-runtime/sigv4/credential-types/types and the aws-smithy-* - # crates bumped their MSRV to 1.91.1 in late 2026; pin to the last - # 1.91.0-compatible versions. The order matters — each downgrade - # only succeeds once everything that still pins it at a higher - # version has itself been downgraded. - cargo update -p aws-runtime --precise 1.5.12 - cargo update -p aws-types --precise 1.3.9 - cargo update -p aws-sigv4 --precise 1.3.5 - cargo update -p aws-credential-types --precise 1.2.8 - # aws-smithy-checksums must stay at or above 0.63.13: OpenDAL's S3 - # service needs crc-fast ~1.9, and older releases pin it to ~1.3. - cargo update -p aws-smithy-checksums --precise 0.63.13 - cargo update -p aws-smithy-runtime --precise 1.9.3 - cargo update -p aws-smithy-http --precise 0.62.6 - cargo update -p aws-smithy-eventstream --precise 0.60.14 - cargo update -p aws-smithy-http-client --precise 1.1.3 - cargo update -p aws-smithy-observability --precise 0.1.4 - cargo update -p aws-smithy-query --precise 0.60.8 - cargo update -p aws-smithy-runtime-api --precise 1.9.3 - cargo update -p aws-smithy-async --precise 1.2.7 - cargo update -p aws-smithy-types --precise 1.3.6 - cargo update -p aws-smithy-xml --precise 0.60.11 - cargo update -p home --precise 0.5.9 + - name: Downgrade dependencies + # aws-smithy-types 1.6.1+ requires rustc 1.94.1 + run: cargo update -p aws-smithy-types --precise 1.5.0 - name: cargo +${{ matrix.msrv }} check env: RUSTUP_TOOLCHAIN: ${{ matrix.msrv }} diff --git a/Cargo.lock b/Cargo.lock index 5bcd4c9a3..b65784373 100644 --- a/Cargo.lock +++ b/Cargo.lock @@ -3588,8 +3588,8 @@ checksum = "42703706b716c37f96a77aea830392ad231f44c9e9a67872fa5548707e11b11c" [[package]] name = "fsst" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "rand 0.9.5", @@ -5143,8 +5143,8 @@ checksum = "e037a2e1d8d5fdbd49b16a4ea09d5d6401c1f29eca5ff29d03d3824dba16256a" [[package]] name = "lance" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arc-swap", "arrow", @@ -5217,8 +5217,8 @@ dependencies = [ [[package]] name = "lance-arrow" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-buffer", @@ -5240,7 +5240,7 @@ dependencies = [ [[package]] name = "lance-arrow-scalar" version = "58.0.0" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-buffer", @@ -5254,7 +5254,7 @@ dependencies = [ [[package]] name = "lance-arrow-stats" version = "58.0.0" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-schema", @@ -5263,8 +5263,8 @@ dependencies = [ [[package]] name = "lance-bitpacking" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrayref", "crunchy", @@ -5274,8 +5274,8 @@ dependencies = [ [[package]] name = "lance-core" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-buffer", @@ -5312,8 +5312,8 @@ dependencies = [ [[package]] name = "lance-datafusion" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow", "arrow-array", @@ -5344,8 +5344,8 @@ dependencies = [ [[package]] name = "lance-datagen" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow", "arrow-array", @@ -5362,8 +5362,8 @@ dependencies = [ [[package]] name = "lance-derive" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "proc-macro2", "quote", @@ -5372,8 +5372,8 @@ dependencies = [ [[package]] name = "lance-encoding" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-arith", "arrow-array", @@ -5406,8 +5406,8 @@ dependencies = [ [[package]] name = "lance-file" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-arith", "arrow-array", @@ -5439,8 +5439,8 @@ dependencies = [ [[package]] name = "lance-geo" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "datafusion", "geo-traits", @@ -5454,8 +5454,8 @@ dependencies = [ [[package]] name = "lance-index" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arc-swap", "arrow", @@ -5526,8 +5526,8 @@ dependencies = [ [[package]] name = "lance-index-core" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-schema", @@ -5550,8 +5550,8 @@ dependencies = [ [[package]] name = "lance-io" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow", "arrow-array", @@ -5593,8 +5593,8 @@ dependencies = [ [[package]] name = "lance-linalg" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-schema", @@ -5608,8 +5608,8 @@ dependencies = [ [[package]] name = "lance-namespace" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow", "async-trait", @@ -5623,8 +5623,8 @@ dependencies = [ [[package]] name = "lance-namespace-impls" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arc-swap", "arrow", @@ -5678,8 +5678,8 @@ dependencies = [ [[package]] name = "lance-select" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-buffer", @@ -5693,8 +5693,8 @@ dependencies = [ [[package]] name = "lance-table" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow", "arrow-array", @@ -5734,8 +5734,8 @@ dependencies = [ [[package]] name = "lance-testing" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "arrow-array", "arrow-schema", @@ -5748,8 +5748,8 @@ dependencies = [ [[package]] name = "lance-tokenizer" -version = "13.1.0-beta.1" -source = "git+https://github.com/lance-format/lance.git?tag=v13.1.0-beta.1#e5a3553b1699a7062ff7afe4ee268d596bbf2e0d" +version = "14.0.0-beta.1" +source = "git+https://github.com/lance-format/lance.git?tag=v14.0.0-beta.1#ae2903729f02ec8e519a4e53797a052393f25ee3" dependencies = [ "frostem", "icu_segmenter", diff --git a/Cargo.toml b/Cargo.toml index 183e5f4f7..513973489 100644 --- a/Cargo.toml +++ b/Cargo.toml @@ -10,23 +10,23 @@ repository = "https://github.com/lancedb/lancedb" description = "Serverless, low-latency vector database for AI applications" keywords = ["lancedb", "lance", "database", "vector", "search"] categories = ["database-implementations"] -rust-version = "1.91.0" +rust-version = "1.94.0" [workspace.dependencies] -lance = { "version" = "=13.1.0-beta.1", default-features = false, "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-core = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-datagen = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-file = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-io = { "version" = "=13.1.0-beta.1", default-features = false, "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-index = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-linalg = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-namespace = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-namespace-impls = { "version" = "=13.1.0-beta.1", default-features = false, "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-table = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-testing = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-datafusion = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-encoding = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } -lance-arrow = { "version" = "=13.1.0-beta.1", "tag" = "v13.1.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance = { "version" = "=14.0.0-beta.1", default-features = false, "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-core = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-datagen = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-file = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-io = { "version" = "=14.0.0-beta.1", default-features = false, "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-index = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-linalg = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-namespace = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-namespace-impls = { "version" = "=14.0.0-beta.1", default-features = false, "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-table = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-testing = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-datafusion = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-encoding = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } +lance-arrow = { "version" = "=14.0.0-beta.1", "tag" = "v14.0.0-beta.1", "git" = "https://github.com/lance-format/lance.git" } lancedb = { path = "rust/lancedb", default-features = false } ahash = "0.8" # Note that this one does not include pyarrow diff --git a/java/pom.xml b/java/pom.xml index efc956a29..52c6f84c8 100644 --- a/java/pom.xml +++ b/java/pom.xml @@ -28,7 +28,7 @@ UTF-8 15.0.0 - 13.1.0-beta.1 + 14.0.0-beta.1 false 2.30.0 1.7 diff --git a/python/Cargo.toml b/python/Cargo.toml index b2d398d6c..e00666378 100644 --- a/python/Cargo.toml +++ b/python/Cargo.toml @@ -8,7 +8,7 @@ license.workspace = true repository.workspace = true keywords.workspace = true categories.workspace = true -rust-version = "1.91.0" +rust-version = "1.94.0" [lib] name = "_lancedb"