mirror of
https://github.com/lancedb/lancedb.git
synced 2026-10-23 04:02:27 +00:00
Merge origin/main into gatekeeper/fix-2325-1
# Conflicts: # python/python/lancedb/__init__.py
This commit is contained in:
@@ -333,6 +333,40 @@ impl Connection {
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})
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}
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#[pyo3(signature = (name, source, projections=None, filter=None, limit=None))]
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pub fn create_materialized_view(
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self_: PyRef<'_, Self>,
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name: String,
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source: String,
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projections: Option<Vec<(String, String)>>,
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filter: Option<String>,
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limit: Option<u64>,
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) -> PyResult<Bound<'_, PyAny>> {
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let inner = self_.get_inner()?.clone();
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future_into_py(self_.py(), async move {
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let mut builder = inner.create_materialized_view(name, source);
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if let Some(projections) = projections {
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builder = builder.select(projections);
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}
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if let Some(filter) = filter {
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builder = builder.only_if(filter);
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}
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if let Some(limit) = limit {
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builder = builder.limit(limit);
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}
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let view = builder.execute().await.infer_error()?;
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Ok(Table::new(view.table().clone()))
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})
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}
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pub fn list_materialized_views(self_: PyRef<'_, Self>) -> PyResult<Bound<'_, PyAny>> {
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let inner = self_.get_inner()?.clone();
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future_into_py(self_.py(), async move {
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let views = inner.list_materialized_views().await.infer_error()?;
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Ok(views.into_iter().map(|view| view.name).collect::<Vec<_>>())
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})
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}
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#[pyo3(signature = (name, namespace_path=None))]
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pub fn drop_table(
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self_: PyRef<'_, Self>,
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+57
-1
@@ -42,7 +42,7 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
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"Fm" => Ok(LanceDbIndex::Fm(FmIndexBuilder::default())),
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"FTS" => {
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let params = source.extract::<FtsParams>()?;
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let inner_opts = FtsIndexBuilder::default()
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let mut inner_opts = FtsIndexBuilder::default()
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.base_tokenizer(params.base_tokenizer)
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.language(¶ms.language)
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.map_err(|_| {
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@@ -61,6 +61,12 @@ pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<Lance
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.ngram_max_length(params.ngram_max_length)
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.ngram_prefix_only(params.prefix_only)
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.custom_stop_words(params.custom_stop_words);
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if let Some(memory_limit) = params.memory_limit {
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inner_opts = inner_opts.memory_limit_mb(memory_limit);
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}
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if let Some(num_workers) = params.num_workers {
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inner_opts = inner_opts.num_workers(num_workers);
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}
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let inner_opts = inner_opts
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.block_size(params.block_size)
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.map_err(|err| PyValueError::new_err(err.to_string()))?;
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@@ -213,6 +219,8 @@ struct FtsParams {
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ngram_max_length: u32,
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prefix_only: bool,
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block_size: usize,
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memory_limit: Option<u64>,
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num_workers: Option<usize>,
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}
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#[derive(FromPyObject)]
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@@ -444,3 +452,51 @@ impl IndexConfig {
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}
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}
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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use pyo3::types::{PyDict, PyDictMethods};
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use serde_json::json;
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#[test]
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fn fts_build_controls_are_forwarded() {
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Python::initialize();
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Python::attach(|py| {
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let locals = PyDict::new(py);
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py.run(
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c"class FTS:
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with_position = True
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base_tokenizer = 'simple'
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language = 'English'
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max_token_length = None
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lower_case = True
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stem = False
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remove_stop_words = False
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custom_stop_words = None
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ascii_folding = False
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ngram_min_length = 3
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ngram_max_length = 3
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prefix_only = False
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block_size = 128
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memory_limit = 2048
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num_workers = 7
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config = FTS()",
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None,
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Some(&locals),
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)
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.unwrap();
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let config = locals.get_item("config").unwrap().unwrap();
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let index = extract_index_params(&Some(config)).unwrap();
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let LanceDbIndex::FTS(params) = index else {
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panic!("expected FTS index parameters");
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};
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let training_json = params.to_training_json().unwrap();
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assert_eq!(training_json.get("memory_limit"), Some(&json!(2048)));
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assert_eq!(training_json.get("num_workers"), Some(&json!(7)));
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});
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}
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}
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+1
-1
@@ -93,7 +93,7 @@ impl Job {
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let inner = self_.inner.clone();
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future_into_py(self_.py(), async move {
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inner.wait().await.infer_error()?;
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Ok(())
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Ok(None::<()>)
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})
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}
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+3
-2
@@ -16,8 +16,8 @@ use query::{FTSQuery, HybridQuery, Query, VectorQuery};
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use session::Session;
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use table::{
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AddColumnsResult, AddResult, AlterColumnsResult, DeleteResult, DropColumnsResult, FtsToken,
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LsmWriteSpec, MergeResult, PyBlobFile, RefreshColumnResult, Table, UpdateFieldMetadataResult,
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UpdateResult,
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LsmWriteSpec, MergeResult, PyBlobFile, RefreshColumnResult, RefreshMaterializedViewResult,
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Table, UpdateFieldMetadataResult, UpdateResult,
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};
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pub mod arrow;
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@@ -60,6 +60,7 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
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m.add_class::<RecordBatchStream>()?;
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m.add_class::<AddColumnsResult>()?;
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m.add_class::<RefreshColumnResult>()?;
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m.add_class::<RefreshMaterializedViewResult>()?;
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m.add_class::<AlterColumnsResult>()?;
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m.add_class::<UpdateFieldMetadataResult>()?;
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m.add_class::<AddResult>()?;
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@@ -268,7 +268,9 @@ impl PyPermutationReader {
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.await
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.infer_error()?
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} else {
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PermutationReader::identity(base_table).await
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PermutationReader::identity(base_table)
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.await
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.infer_error()?
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};
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Ok(Self::from_reader(reader))
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})
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@@ -564,6 +564,41 @@ impl From<lancedb::table::RefreshColumnResult> for RefreshColumnResult {
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}
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}
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#[pyclass(get_all, from_py_object)]
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#[derive(Clone, Debug)]
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pub struct RefreshMaterializedViewResult {
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pub mode: String,
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pub rows_written: u64,
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pub source_version: u64,
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pub version: u64,
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}
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#[pymethods]
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impl RefreshMaterializedViewResult {
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pub fn __repr__(&self) -> String {
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format!(
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"RefreshMaterializedViewResult(mode={}, rows_written={}, source_version={}, version={})",
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self.mode, self.rows_written, self.source_version, self.version
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)
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}
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}
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impl From<lancedb::RefreshMaterializedViewResult> for RefreshMaterializedViewResult {
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fn from(result: lancedb::RefreshMaterializedViewResult) -> Self {
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let mode = match result.mode {
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lancedb::RefreshMode::Rebuild => "rebuild",
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lancedb::RefreshMode::Incremental => "incremental",
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lancedb::RefreshMode::NoOp => "no_op",
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};
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Self {
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mode: mode.to_string(),
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rows_written: result.rows_written,
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source_version: result.source_version,
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version: result.version,
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}
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}
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}
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#[pymethods]
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impl AddColumnsResult {
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pub fn __repr__(&self) -> String {
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@@ -1713,6 +1748,26 @@ impl Table {
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})
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}
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#[pyo3(signature = (full=false, source_version=None))]
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pub fn refresh_materialized_view(
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self_: PyRef<'_, Self>,
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full: bool,
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source_version: Option<u64>,
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) -> PyResult<Bound<'_, PyAny>> {
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let inner = self_.inner_ref()?.clone();
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future_into_py(self_.py(), async move {
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let view = lancedb::MaterializedView::from_table(inner)
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.await
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.infer_error()?;
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let mut builder = view.refresh().full(full);
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if let Some(version) = source_version {
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builder = builder.source_version(version);
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}
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let result = builder.execute().await.infer_error()?;
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Ok(RefreshMaterializedViewResult::from(result))
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})
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}
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pub fn add_columns_with_schema(
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self_: PyRef<'_, Self>,
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schema: PyArrowType<Schema>,
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