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42 Commits

Author SHA1 Message Date
Lance Release
10e087a872 Bump version: 0.27.2 → 0.28.0-beta.0 2026-04-03 08:45:46 +00:00
Lance Release
590c0c1e77 Bump version: 0.30.2 → 0.31.0-beta.0 2026-04-03 08:45:29 +00:00
LanceDB Robot
382ecd65e3 chore: update lance dependency to v5.0.0-beta.4 (#3234)
## Summary
- Update Rust Lance workspace dependencies to `v5.0.0-beta.4` using
`ci/set_lance_version.py` (including lockfile refresh).
- Update Java `lance-core` dependency property to `5.0.0-beta.4` in
`java/pom.xml`.

## Verification
- `cargo clippy --workspace --tests --all-features -- -D warnings`
- `cargo fmt --all`

## Triggering tag
- https://github.com/lance-format/lance/releases/tag/v5.0.0-beta.4
2026-04-03 01:33:36 -07:00
Jack Ye
e26b22bcca refactor!: consolidate namespace related naming and enterprise integration (#3205)
1. Refactored every client (Rust core, Python, Node/TypeScript) so
“namespace” usage is explicit: code now keeps namespace paths
(namespace_path) separate from namespace clients (namespace_client).
Connections propagate the client, table creation routes through it, and
managed versioning defaults are resolved from namespace metadata. Python
gained LanceNamespaceDBConnection/async counterparts, and the
namespace-focused tests were rewritten to match the clarified API
surface.
2. Synchronized the workspace with Lance 5.0.0-beta.3 (see
https://github.com/lance-format/lance/pull/6186 for the upstream
namespace refactor), updating Cargo/uv lockfiles and ensuring all
bindings align with the new namespace semantics.
3. Added a namespace-backed code path to lancedb.connect() via new
keyword arguments (namespace_client_impl, namespace_client_properties,
plus the existing pushdown-ops flag). When those kwargs are supplied,
connect() delegates to connect_namespace, so users can opt into
namespace clients without changing APIs. (The async helper will gain
parity in a later change)
2026-04-03 00:09:03 -07:00
Lance Release
3ba46135a5 Bump version: 0.27.2-beta.2 → 0.27.2 2026-03-31 21:26:04 +00:00
Lance Release
f903d07887 Bump version: 0.27.2-beta.1 → 0.27.2-beta.2 2026-03-31 21:25:36 +00:00
Lance Release
5d550124bd Bump version: 0.30.2-beta.2 → 0.30.2 2026-03-31 21:25:04 +00:00
Lance Release
c57cb310a2 Bump version: 0.30.2-beta.1 → 0.30.2-beta.2 2026-03-31 21:25:02 +00:00
Dan Tasse
97754f5123 fix: change _client reference to _conn (#3188)
This code previously referenced `self._client`, which does not exist.
This change makes it correctly call `self._conn.close()`
2026-03-31 13:29:17 -07:00
Pratik Dey
7b1c063848 feat(python): add type-safe expression builder API (#3150)
Introduces col(), lit(), func(), and Expr class as alternatives to raw
SQL strings in .where() and .select(). Expressions are backed by
DataFusion's Expr AST and serialized to SQL for remote table compat.

Resolves: 
- https://github.com/lancedb/lancedb/issues/3044 (python api's)
- https://github.com/lancedb/lancedb/issues/3043 (support for filter)
- https://github.com/lancedb/lancedb/issues/3045 (support for
projection)

---------

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-31 11:32:49 -07:00
Will Jones
c7f189f27b chore: upgrade lance to stable 4.0.0 (#3207)
Bumps all lance-* workspace dependencies from `4.0.0-rc.3` (git source)
to the stable `4.0.0` release on crates.io, removing the `git`/`tag`
overrides.

No code changes were required — compiles and passes clippy cleanly.

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-30 17:05:45 -07:00
yaommen
a0a2942ad5 fix: respect max_batch_length for Rust vector and hybrid queries (#3172)
Fixes #1540

I could not reproduce this on current `main` from Python, but I could
still reproduce it from the Rust SDK.

Python no longer reproduces because the current Python vector/hybrid
query paths re-chunk results into a `pyarrow.Table` before returning
batches. Rust still reproduced because `max_batch_length` was passed
into planning/scanning, but vector search could still emit larger
`RecordBatch`es later in execution (for example after KNN / TopK), so it
was not enforced on the final Rust output stream.

This PR enforces `max_batch_length` on the final Rust query output
stream and adds Rust regression coverage.

Before the fix, the Rust repro produced:
`num_batches=2, max_batch=8192, min_batch=1808, all_le_100=false`

After the fix, the same repro produces batches `<= 100`.

## Runnable Rust repro

Before this fix, current `main` could still return batches like `[8192,
1808]` here even with `max_batch_length = 100`:

```rust
use std::sync::Arc;

use arrow_array::{
    types::Float32Type, FixedSizeListArray, RecordBatch, RecordBatchReader, StringArray,
};
use arrow_schema::{DataType, Field, Schema};
use futures::TryStreamExt;
use lancedb::query::{ExecutableQuery, QueryBase, QueryExecutionOptions};

#[tokio::main]
async fn main() -> Result<(), Box<dyn std::error::Error>> {
    let tmp = tempfile::tempdir()?;
    let uri = tmp.path().to_str().unwrap();

    let rows = 10_000;
    let schema = Arc::new(Schema::new(vec![
        Field::new("id", DataType::Utf8, false),
        Field::new(
            "vector",
            DataType::FixedSizeList(Arc::new(Field::new("item", DataType::Float32, true)), 4),
            false,
        ),
    ]));

    let ids = StringArray::from_iter_values((0..rows).map(|i| format!("row-{i}")));
    let vectors = FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
        (0..rows).map(|i| Some(vec![Some(i as f32), Some(1.0), Some(2.0), Some(3.0)])),
        4,
    );
    let batch = RecordBatch::try_new(schema.clone(), vec![Arc::new(ids), Arc::new(vectors)])?;
    let reader: Box<dyn RecordBatchReader + Send> = Box::new(
        arrow_array::RecordBatchIterator::new(vec![Ok(batch)].into_iter(), schema),
    );

    let db = lancedb::connect(uri).execute().await?;
    let table = db.create_table("test", reader).execute().await?;

    let mut opts = QueryExecutionOptions::default();
    opts.max_batch_length = 100;

    let mut stream = table
        .query()
        .nearest_to(vec![0.0, 1.0, 2.0, 3.0])?
        .limit(rows)
        .execute_with_options(opts)
        .await?;

    let mut sizes = Vec::new();
    while let Some(batch) = stream.try_next().await? {
        sizes.push(batch.num_rows());
    }

    println!("{sizes:?}");
    Ok(())
}
```

Signed-off-by: yaommen <myanstu@163.com>
2026-03-30 15:43:58 -07:00
Will Jones
e3d53dd185 fix(python): skip test_url_retrieve_downloads_image when PIL not installed (#3208)
The test added in #3190 unconditionally imports `PIL`, which is an
optional dependency. This causes CI failures in environments where
Pillow isn't installed (`ModuleNotFoundError: No module named 'PIL'`).

Use `pytest.importorskip` to skip gracefully when Pillow is unavailable.

Fixes CI failure on main.

Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-30 14:48:49 -07:00
Will Jones
66804e99fc fix(python): use correct exception types in namespace tests (#3206)
## Summary
- Namespace tests expected `RuntimeError` for table-not-found and
namespace-not-empty cases, but `lance_namespace` raises
`TableNotFoundError` and `NamespaceNotEmptyError` which inherit from
`Exception`, not `RuntimeError`.
- Updated `pytest.raises` to use the correct exception types.

## Test plan
- [x] CI passes on `test_namespace.py`

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-30 12:55:54 -07:00
lennylxx
9f85d4c639 fix(embeddings): add missing urllib.request import in url_retrieve (#3190)
url_retrieve() calls urllib.request.urlopen() but only urllib.error was
imported, causing AttributeError for any HTTP URL input. This affects
open-clip, siglip, and jinaai embedding functions when processing image
URLs.

The bug has existed since the embeddings API refactor (#580) but was
masked because most users pass local file paths or bytes rather than
HTTP URLs.
2026-03-30 12:03:44 -07:00
Vedant Madane
1ba19d728e feat(node): support Float16, Float64, and Uint8 vector queries (#3193)
Fixes #2716

## Summary

Add support for querying with Float16Array, Float64Array, and Uint8Array
vectors in the Node.js SDK, eliminating precision loss from the previous
\Float32Array.from()\ conversion.

## Implementation

Follows @wjones127's [5-step
plan](https://github.com/lancedb/lancedb/issues/2716#issuecomment-3447750543):

### Rust (\
odejs/src/query.rs\)

1. \ytes_to_arrow_array(data: Uint8Array, dtype: String)\ helper that:
   - Creates an Arrow \Buffer\ from the raw bytes
   - Wraps it in a typed \ScalarBuffer<T>\ based on the dtype enum
   - Constructs a \PrimitiveArray\ and returns \Arc<dyn Array>\
2. \
earest_to_raw(data, dtype)\ and \dd_query_vector_raw(data, dtype)\ NAPI
methods that pass the type-erased array to the core \
earest_to\/\dd_query_vector\ which already accept \impl
IntoQueryVector\ for \Arc<dyn Array>\

### TypeScript (\
odejs/lancedb/query.ts\, \rrow.ts\)

3. Extended \IntoVector\ type to include \Uint8Array\ (and
\Float16Array\ via runtime check for Node 22+)
4. \xtractVectorBuffer()\ helper detects non-Float32 typed arrays and
extracts their underlying byte buffer + dtype string
5. \
earestTo()\ and \ddQueryVector()\ route through the raw NAPI path when
the input is Float16/Float64/Uint8

### Backward compatibility

Existing \Float32Array\ and \
umber[]\ inputs are unchanged -- they still use the original \
earest_to(Float32Array)\ NAPI method. The new raw path is only used when
a non-Float32 typed array is detected.

## Usage

\\\	ypescript
// Float16Array (Node 22+) -- no precision loss
const f16vec = new Float16Array([0.1, 0.2, 0.3]);
const results = await
table.query().nearestTo(f16vec).limit(10).toArray();

// Float64Array -- no precision loss
const f64vec = new Float64Array([0.1, 0.2, 0.3]);
const results = await
table.query().nearestTo(f64vec).limit(10).toArray();

// Uint8Array (binary embeddings)
const u8vec = new Uint8Array([1, 0, 1, 1, 0]);
const results = await
table.query().nearestTo(u8vec).limit(10).toArray();

// Existing usage unchanged
const results = await table.query().nearestTo([0.1, 0.2,
0.3]).limit(10).toArray();
\\\

## Note on dependencies

The Rust side uses \rrow_array\, \rrow_buffer\, and \half\ crates.
These should already be in the dependency tree via \lancedb\ core, but
\Cargo.toml\ may need explicit entries for \half\ and the arrow
sub-crates in the nodejs workspace.

---------

Signed-off-by: Vedant Madane <6527493+VedantMadane@users.noreply.github.com>
Co-authored-by: Will Jones <willjones127@gmail.com>
2026-03-30 11:15:35 -07:00
lif
4c44587af0 fix: table.add(mode='overwrite') infers vector column types (#3184)
Fixes #3183

## Summary

When `table.add(mode='overwrite')` is called, PyArrow infers input data
types (e.g. `list<double>`) which differ from the original table schema
(e.g. `fixed_size_list<float32>`). Previously, overwrite mode bypassed
`cast_to_table_schema()` entirely, so the inferred types replaced the
original schema, breaking vector search.

This fix builds a merged target schema for overwrite: columns present in
the existing table schema keep their original types, while columns
unique to the input pass through as-is. This way
`cast_to_table_schema()` is applied unconditionally, preserving vector
column types without blocking schema evolution.

## Changes

- `rust/lancedb/src/table/add_data.rs`: For overwrite mode, construct a
target schema by matching input columns against the existing table
schema, then cast. Non-overwrite (append) path is unchanged.
- Added `test_add_overwrite_preserves_vector_type` test that creates a
table with `fixed_size_list<float32>`, overwrites with `list<double>`
input, and asserts the original type is preserved.

## Test Plan

- `cargo test --features remote -p lancedb -- test_add_overwrite` — all
4 overwrite tests pass
- Full suite: 454 passed, 2 failed (pre-existing `remote::retry` flakes
unrelated to this change)

---------

Signed-off-by: majiayu000 <1835304752@qq.com>
2026-03-30 10:57:33 -07:00
lennylxx
1d1cafb59c fix(python): don't assign dict.update() return value in _sanitize_data (#3198)
dict.update() mutates in place and returns None. Assigning its result
caused with_metadata(None) to strip all schema metadata when embedding
metadata was merged during create_table with embedding_functions.
2026-03-30 10:15:45 -07:00
aikido-autofix[bot]
4714598155 ci: mitigate template injection attack in build_linux_wheel (#3195)
This patch mitigates template injection vulnerabilities in GitHub
Workflows by replacing direct references with an environment variable.

Aikido used AI to generate this PR.

High confidence: Aikido has a robust set of benchmarks for similar
fixes, and they are proven to be effective.

Co-authored-by: aikido-autofix[bot] <119856028+aikido-autofix[bot]@users.noreply.github.com>
2026-03-30 09:29:24 -07:00
lennylxx
74f457a0f2 fix(rust): handle Mutex lock poisoning gracefully across codebase (#3196)
Replace ~30 production `lock().unwrap()` calls that would cascade-panic
on a poisoned Mutex. Functions returning `Result` now propagate the
poison as an error via `?` (leveraging the existing `From<PoisonError>`
impl). Functions without a `Result` return recover via
`unwrap_or_else(|e| e.into_inner())`, which is safe because the guarded
data (counters, caches, RNG state) remains logically valid after a
panic.
2026-03-30 09:25:18 -07:00
Dan Tasse
cca6a7c989 fix: raise instead of return ValueError (#3189)
These couple of cases used to return ValueError; should raise it
instead.
2026-03-25 18:49:29 -07:00
Lance Release
ad96489114 Bump version: 0.27.2-beta.0 → 0.27.2-beta.1 2026-03-25 16:22:09 +00:00
Lance Release
76429730c0 Bump version: 0.30.2-beta.0 → 0.30.2-beta.1 2026-03-25 16:21:26 +00:00
Weston Pace
874b74dd3c feat: update lance dependency to v4.0.0-rc.3 (#3187)
## Summary
- Update all lance workspace dependencies from v3.0.1 (crates.io) to
v4.0.0-rc.3 (git tag)
- Pin AWS SDK transitive dependencies to versions compatible with Rust
1.91.0 MSRV

## Test plan
- [x] `cargo check --features remote --tests --examples` passes
- [x] `cargo clippy --features remote --tests --examples` passes
- [x] Python bindings compile (`cargo check -p lancedb-python`)
- [ ] CI passes

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-25 09:20:29 -07:00
Lance Release
61de47f3a5 Bump version: 0.27.1 → 0.27.2-beta.0 2026-03-25 03:23:28 +00:00
Lance Release
f4d613565e Bump version: 0.30.1 → 0.30.2-beta.0 2026-03-25 03:22:55 +00:00
Wyatt Alt
410ab9b6fe Revert "feat: allow passing azure client/tenant ID through remote SDK" (#3185)
Reverts lancedb/lancedb#3102
2026-03-24 20:17:40 -07:00
Will Jones
1d6e00b902 feat: progress bar for add() (#3067)
## Summary

Adds progress reporting for `table.add()` so users can track large write
operations. The progress callback is available in Rust, Python (sync and
async), and through the PyO3 bindings.

### Usage

Pass `progress=True` to get an automatic tqdm bar:

```python
table.add(data, progress=True)
# 100%|██████████| 1000000/1000000 [00:12<00:00, 82345 rows/s, 45.2 MB/s | 4/4 workers]
```

Or pass a tqdm bar for more control:

```python
from tqdm import tqdm

with tqdm(unit=" rows") as pbar:
    table.add(data, progress=pbar)
```

Or use a callback for custom progress handling:

```python
def on_progress(p):
    print(f"{p['output_rows']}/{p['total_rows']} rows, "
          f"{p['active_tasks']}/{p['total_tasks']} workers, "
          f"done={p['done']}")

table.add(data, progress=on_progress)
```

In Rust:

```rust
table.add(data)
    .progress(|p| println!("{}/{:?} rows", p.output_rows(), p.total_rows()))
    .execute()
    .await?;
```

### Details

- `WriteProgress` struct in Rust with getters for `elapsed`,
`output_rows`, `output_bytes`, `total_rows`, `active_tasks`,
`total_tasks`, and `done`. Fields are private behind getters so new
fields can be added without breaking changes.
- `WriteProgressTracker` tracks progress across parallel write tasks
using a mutex for row/byte counts and atomics for active task counts.
- Active task tracking uses an RAII guard pattern (`ActiveTaskGuard`)
that increments on creation and decrements on drop.
- For remote writes, `output_bytes` reflects IPC wire bytes rather than
in-memory Arrow size. For local writes it uses in-memory Arrow size as a
proxy (see TODO below).
- tqdm postfix displays throughput (MB/s) and worker utilization
(active/total).
- The `done` callback always fires, even on error (via `FinishOnDrop`),
so progress bars are always finalized.

### TODO

- Track actual bytes written to disk for local tables. This requires
Lance to expose a progress callback from its write path. See
lance-format/lance#6247.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-23 16:14:13 -07:00
Esteban Gutierrez
a0228036ae ci: fix unused PreprocessingOutput (#3180)
Simple fix to for CI due unused import of PreprocessingOutput in
table.rs

Co-authored-by: Esteban Gutierrez <esteban@lancedb.com>
2026-03-23 13:45:44 -07:00
Esteban Gutierrez
d8fc071a7d fix(ci): bump AWS SDK MSRV pins to March 2025 release (#3179)
Lance v4.1.0-beta requires the default-https-client feature on
aws-sdk-dynamodb and aws-sdk-s3, which was introduced in the March
2025 AWS SDK release. Update all AWS SDK pins to versions from the
same AWS SDK release to maintain internal dependency compatibility.

Co-authored-by: Esteban Gutierrez <esteban@lancedb.com>
2026-03-23 15:30:33 -05:00
Will Jones
e6fd8d071e feat(rust): parallel inserts for remote tables via multipart write (#3071)
Similar to https://github.com/lancedb/lancedb/pull/3062, we can write in
parallel to remote tables if the input data source is large enough.

We take advantage of new endpoints coming in server version 0.4.0, which
allow writing data in multiple requests, and the committing at the end
in a single request.

To make testing easier, I also introduce a `write_parallelism`
parameter. In the future, we can expose that in Python and NodeJS so
users can manually specify the parallelism they get.

Closes #2861

---------

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-20 13:19:07 -07:00
LanceDB Robot
670dcca551 feat: update lance dependency to v3.0.1 (#3168)
## Summary
- Updated Lance Rust workspace dependencies to `3.0.1` using
`ci/set_lance_version.py`.
- Updated Java `lance-core` dependency property in `java/pom.xml` to
`3.0.1`.
- Refreshed `Cargo.lock` entries for Lance crates at `3.0.1`.

## Verification
- `cargo clippy --workspace --tests --all-features -- -D warnings`
- `cargo fmt --all`

## Trigger
- Tag:
[`refs/tags/v3.0.1`](https://github.com/lancedb/lance/tree/v3.0.1)

Co-authored-by: Esteban Gutierrez <estebangtz@gmail.com>
2026-03-20 09:53:20 -07:00
Prashanth Rao
ed7e01a58b docs: fix rendering issues with missing index types in API docs (#3143)
## Problem

The generated Python API docs for
`lancedb.table.IndexStatistics.index_type` were misleading because
mkdocstrings renders that field’s type annotation directly, and the
existing `Literal[...]` listed only a subset of the actual canonical SDK
index type strings.

Current (missing index types):
<img width="823" height="83" alt="image"
src="https://github.com/user-attachments/assets/f6f29fe3-4c16-4d00-a4e9-28a7cd6e19ec"
/>


## Fix

- Update the `IndexStatistics.index_type` annotation in
`python/python/lancedb/table.py` to include the full supported set of
canonical values, so the generated docs show all valid index_type
strings inline.
- Add a small regression test in `python/python/tests/test_index.py` to
ensure the docs-facing annotation does not drift silently again in case
we add a new index/quantization type in the future.
- Bumps mkdocs and material theme versions to mkdocs 1.6 to allow access
to more features like hooks

After fix (all index types are included and tested for in the
annotations):
<img width="1017" height="93" alt="image"
src="https://github.com/user-attachments/assets/66c74d5c-34b3-4b44-8173-3ee23e3648ac"
/>
2026-03-20 09:34:42 -07:00
Lance Release
3450ccaf7f Bump version: 0.27.1-beta.0 → 0.27.1 2026-03-20 00:35:36 +00:00
Lance Release
9b229f1e7c Bump version: 0.27.0 → 0.27.1-beta.0 2026-03-20 00:35:19 +00:00
Lance Release
f5b21c0aa4 Bump version: 0.30.1-beta.0 → 0.30.1 2026-03-20 00:35:03 +00:00
Lance Release
e927924d26 Bump version: 0.30.0 → 0.30.1-beta.0 2026-03-20 00:35:02 +00:00
Weston Pace
11a4966bfc feat: upgrade lance dependency to v3.0.1 (#3157)
## Summary
- Upgrade all lance-* dependencies from v3.0.0 to v3.0.1 (stable, from
crates.io)

## Test plan
- [x] `cargo check --features remote --tests --examples` passes
- [x] `cargo clippy --features remote --tests --examples` passes
- [x] `cargo fmt --all --check` passes
- [ ] CI tests pass

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-19 17:30:46 -07:00
Weston Pace
dd5aaa72dc ci: modify check_lance_release.py to prefer stable releases over betas (#3146)
When Lance 3.0.0 released the check_lance_release.py script did not make
a PR for it because it was a pre-release. This change may not be perfect
but it always ranks stable releases above non-stable releases.
2026-03-17 09:21:30 -07:00
marca116
3a200d77ef fix: pre-filtering on hybrid search (#3096)
When using hybrid search with a where filter, the prefilter argument is
silently inverted. Passing prefilter=True actually performs
post-filtering, and prefilter=False actually performs pre-filtering.
2026-03-16 21:48:42 -07:00
Lance Release
bd09c53938 Bump version: 0.27.0-beta.6 → 0.27.0 2026-03-16 22:47:06 +00:00
Lance Release
0b18e33180 Bump version: 0.27.0-beta.5 → 0.27.0-beta.6 2026-03-16 22:46:48 +00:00
90 changed files with 6865 additions and 3117 deletions

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.27.0-beta.5"
current_version = "0.28.0-beta.0"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

View File

@@ -23,8 +23,10 @@ runs:
steps:
- name: CONFIRM ARM BUILD
shell: bash
env:
ARM_BUILD: ${{ inputs.arm-build }}
run: |
echo "ARM BUILD: ${{ inputs.arm-build }}"
echo "ARM BUILD: $ARM_BUILD"
- name: Build x86_64 Manylinux wheel
if: ${{ inputs.arm-build == 'false' }}
uses: PyO3/maturin-action@v1

View File

@@ -207,14 +207,14 @@ jobs:
- name: Downgrade dependencies
# These packages have newer requirements for MSRV
run: |
cargo update -p aws-sdk-bedrockruntime --precise 1.64.0
cargo update -p aws-sdk-dynamodb --precise 1.55.0
cargo update -p aws-config --precise 1.5.10
cargo update -p aws-sdk-kms --precise 1.51.0
cargo update -p aws-sdk-s3 --precise 1.65.0
cargo update -p aws-sdk-sso --precise 1.50.0
cargo update -p aws-sdk-ssooidc --precise 1.51.0
cargo update -p aws-sdk-sts --precise 1.51.0
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
cargo update -p home --precise 0.5.9
- name: cargo +${{ matrix.msrv }} check
env:

2134
Cargo.lock generated

File diff suppressed because it is too large Load Diff

View File

@@ -15,20 +15,20 @@ categories = ["database-implementations"]
rust-version = "1.91.0"
[workspace.dependencies]
lance = { version = "=3.0.0", default-features = false }
lance-core = { version = "=3.0.0" }
lance-datagen = { version = "=3.0.0" }
lance-file = { version = "=3.0.0" }
lance-io = { version = "=3.0.0", default-features = false }
lance-index = { version = "=3.0.0" }
lance-linalg = { version = "=3.0.0" }
lance-namespace = { version = "=3.0.0" }
lance-namespace-impls = { version = "=3.0.0", default-features = false }
lance-table = { version = "=3.0.0" }
lance-testing = { version = "=3.0.0" }
lance-datafusion = { version = "=3.0.0" }
lance-encoding = { version = "=3.0.0" }
lance-arrow = { version = "=3.0.0" }
lance = { "version" = "=5.0.0-beta.4", default-features = false, "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-core = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-datagen = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-file = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-io = { "version" = "=5.0.0-beta.4", default-features = false, "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-index = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-linalg = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-namespace-impls = { "version" = "=5.0.0-beta.4", default-features = false, "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-table = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-testing = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-datafusion = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-encoding = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
lance-arrow = { "version" = "=5.0.0-beta.4", "tag" = "v5.0.0-beta.4", "git" = "https://github.com/lance-format/lance.git" }
ahash = "0.8"
# Note that this one does not include pyarrow
arrow = { version = "57.2", optional = false }

View File

@@ -3,6 +3,7 @@
from __future__ import annotations
import argparse
import functools
import json
import os
import re
@@ -26,6 +27,7 @@ SEMVER_RE = re.compile(
)
@functools.total_ordering
@dataclass(frozen=True)
class SemVer:
major: int
@@ -156,7 +158,9 @@ def read_current_version(repo_root: Path) -> str:
def determine_latest_tag(tags: Iterable[TagInfo]) -> TagInfo:
return max(tags, key=lambda tag: tag.semver)
# Stable releases (no prerelease) are always preferred over pre-releases.
# Within each group, standard semver ordering applies.
return max(tags, key=lambda tag: (not tag.semver.prerelease, tag.semver))
def write_outputs(args: argparse.Namespace, payload: dict) -> None:

View File

@@ -1,8 +1,8 @@
mkdocs==1.5.3
mkdocs==1.6.1
mkdocs-jupyter==0.24.1
mkdocs-material==9.5.3
mkdocs-material==9.6.23
mkdocs-autorefs>=0.5,<=1.0
mkdocstrings[python]==0.25.2
mkdocstrings[python]>=0.24,<1.0
griffe>=0.40,<1.0
mkdocs-render-swagger-plugin>=0.1.0
pydantic>=2.0,<3.0

View File

@@ -14,7 +14,7 @@ Add the following dependency to your `pom.xml`:
<dependency>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-core</artifactId>
<version>0.27.0-beta.5</version>
<version>0.28.0-beta.0</version>
</dependency>
```
@@ -57,32 +57,32 @@ LanceNamespace namespaceClient = LanceDbNamespaceClientBuilder.newBuilder()
## Metadata Operations
### Creating a Namespace
### Creating a Namespace Path
Namespaces organize tables hierarchically. Create a namespace before creating tables within it:
Namespace paths organize tables hierarchically. Create the desired namespace path before creating tables within it:
```java
import org.lance.namespace.model.CreateNamespaceRequest;
import org.lance.namespace.model.CreateNamespaceResponse;
// Create a child namespace
// Create a child namespace path
CreateNamespaceRequest request = new CreateNamespaceRequest();
request.setId(Arrays.asList("my_namespace"));
CreateNamespaceResponse response = namespaceClient.createNamespace(request);
```
You can also create nested namespaces:
You can also create nested namespace paths:
```java
// Create a nested namespace: parent/child
// Create a nested namespace path: parent/child
CreateNamespaceRequest request = new CreateNamespaceRequest();
request.setId(Arrays.asList("parent_namespace", "child_namespace"));
CreateNamespaceResponse response = namespaceClient.createNamespace(request);
```
### Describing a Namespace
### Describing a Namespace Path
```java
import org.lance.namespace.model.DescribeNamespaceRequest;
@@ -95,22 +95,22 @@ DescribeNamespaceResponse response = namespaceClient.describeNamespace(request);
System.out.println("Namespace properties: " + response.getProperties());
```
### Listing Namespaces
### Listing Namespace Paths
```java
import org.lance.namespace.model.ListNamespacesRequest;
import org.lance.namespace.model.ListNamespacesResponse;
// List all namespaces at root level
// List all namespace paths at the root level
ListNamespacesRequest request = new ListNamespacesRequest();
request.setId(Arrays.asList()); // Empty for root
ListNamespacesResponse response = namespaceClient.listNamespaces(request);
for (String ns : response.getNamespaces()) {
System.out.println("Namespace: " + ns);
System.out.println("Namespace path: " + ns);
}
// List child namespaces under a parent
// List child namespace paths under a parent path
ListNamespacesRequest childRequest = new ListNamespacesRequest();
childRequest.setId(Arrays.asList("parent_namespace"));
@@ -123,7 +123,7 @@ ListNamespacesResponse childResponse = namespaceClient.listNamespaces(childReque
import org.lance.namespace.model.ListTablesRequest;
import org.lance.namespace.model.ListTablesResponse;
// List tables in a namespace
// List tables in a namespace path
ListTablesRequest request = new ListTablesRequest();
request.setId(Arrays.asList("my_namespace"));
@@ -133,7 +133,7 @@ for (String table : response.getTables()) {
}
```
### Dropping a Namespace
### Dropping a Namespace Path
```java
import org.lance.namespace.model.DropNamespaceRequest;
@@ -175,7 +175,7 @@ DropTableResponse response = namespaceClient.dropTable(request);
### Creating a Table
Tables are created within a namespace by providing data in Apache Arrow IPC format:
Tables are created within a namespace path by providing data in Apache Arrow IPC format:
```java
import org.lance.namespace.LanceNamespace;
@@ -242,7 +242,7 @@ try (BufferAllocator allocator = new RootAllocator();
}
byte[] tableData = out.toByteArray();
// Create table in a namespace
// Create a table in a namespace path
CreateTableRequest request = new CreateTableRequest();
request.setId(Arrays.asList("my_namespace", "my_table"));
CreateTableResponse response = namespaceClient.createTable(request, tableData);

View File

@@ -61,8 +61,8 @@ sharing the same data, deletion, and index files.
* **options.sourceVersion?**: `number`
The version of the source table to clone.
* **options.targetNamespace?**: `string`[]
The namespace for the target table (defaults to root namespace).
* **options.targetNamespacePath?**: `string`[]
The namespace path for the target table (defaults to root namespace).
#### Returns
@@ -116,13 +116,13 @@ Creates a new empty Table
`Promise`&lt;[`Table`](Table.md)&gt;
#### createEmptyTable(name, schema, namespace, options)
#### createEmptyTable(name, schema, namespacePath, options)
```ts
abstract createEmptyTable(
name,
schema,
namespace?,
namespacePath?,
options?): Promise<Table>
```
@@ -136,8 +136,8 @@ Creates a new empty Table
* **schema**: [`SchemaLike`](../type-aliases/SchemaLike.md)
The schema of the table
* **namespace?**: `string`[]
The namespace to create the table in (defaults to root namespace)
* **namespacePath?**: `string`[]
The namespace path to create the table in (defaults to root namespace)
* **options?**: `Partial`&lt;[`CreateTableOptions`](../interfaces/CreateTableOptions.md)&gt;
Additional options
@@ -150,10 +150,10 @@ Creates a new empty Table
### createTable()
#### createTable(options, namespace)
#### createTable(options, namespacePath)
```ts
abstract createTable(options, namespace?): Promise<Table>
abstract createTable(options, namespacePath?): Promise<Table>
```
Creates a new Table and initialize it with new data.
@@ -163,8 +163,8 @@ Creates a new Table and initialize it with new data.
* **options**: `object` & `Partial`&lt;[`CreateTableOptions`](../interfaces/CreateTableOptions.md)&gt;
The options object.
* **namespace?**: `string`[]
The namespace to create the table in (defaults to root namespace)
* **namespacePath?**: `string`[]
The namespace path to create the table in (defaults to root namespace)
##### Returns
@@ -197,13 +197,13 @@ Creates a new Table and initialize it with new data.
`Promise`&lt;[`Table`](Table.md)&gt;
#### createTable(name, data, namespace, options)
#### createTable(name, data, namespacePath, options)
```ts
abstract createTable(
name,
data,
namespace?,
namespacePath?,
options?): Promise<Table>
```
@@ -218,8 +218,8 @@ Creates a new Table and initialize it with new data.
Non-empty Array of Records
to be inserted into the table
* **namespace?**: `string`[]
The namespace to create the table in (defaults to root namespace)
* **namespacePath?**: `string`[]
The namespace path to create the table in (defaults to root namespace)
* **options?**: `Partial`&lt;[`CreateTableOptions`](../interfaces/CreateTableOptions.md)&gt;
Additional options
@@ -247,15 +247,15 @@ Return a brief description of the connection
### dropAllTables()
```ts
abstract dropAllTables(namespace?): Promise<void>
abstract dropAllTables(namespacePath?): Promise<void>
```
Drop all tables in the database.
#### Parameters
* **namespace?**: `string`[]
The namespace to drop tables from (defaults to root namespace).
* **namespacePath?**: `string`[]
The namespace path to drop tables from (defaults to root namespace).
#### Returns
@@ -266,7 +266,7 @@ Drop all tables in the database.
### dropTable()
```ts
abstract dropTable(name, namespace?): Promise<void>
abstract dropTable(name, namespacePath?): Promise<void>
```
Drop an existing table.
@@ -276,8 +276,8 @@ Drop an existing table.
* **name**: `string`
The name of the table to drop.
* **namespace?**: `string`[]
The namespace of the table (defaults to root namespace).
* **namespacePath?**: `string`[]
The namespace path of the table (defaults to root namespace).
#### Returns
@@ -304,7 +304,7 @@ Return true if the connection has not been closed
```ts
abstract openTable(
name,
namespace?,
namespacePath?,
options?): Promise<Table>
```
@@ -315,8 +315,8 @@ Open a table in the database.
* **name**: `string`
The name of the table
* **namespace?**: `string`[]
The namespace of the table (defaults to root namespace)
* **namespacePath?**: `string`[]
The namespace path of the table (defaults to root namespace)
* **options?**: `Partial`&lt;[`OpenTableOptions`](../interfaces/OpenTableOptions.md)&gt;
Additional options
@@ -349,10 +349,10 @@ Tables will be returned in lexicographical order.
`Promise`&lt;`string`[]&gt;
#### tableNames(namespace, options)
#### tableNames(namespacePath, options)
```ts
abstract tableNames(namespace?, options?): Promise<string[]>
abstract tableNames(namespacePath?, options?): Promise<string[]>
```
List all the table names in this database.
@@ -361,8 +361,8 @@ Tables will be returned in lexicographical order.
##### Parameters
* **namespace?**: `string`[]
The namespace to list tables from (defaults to root namespace)
* **namespacePath?**: `string`[]
The namespace path to list tables from (defaults to root namespace)
* **options?**: `Partial`&lt;[`TableNamesOptions`](../interfaces/TableNamesOptions.md)&gt;
options to control the

View File

@@ -52,7 +52,7 @@ new EmbeddingFunction<T, M>(): EmbeddingFunction<T, M>
### computeQueryEmbeddings()
```ts
computeQueryEmbeddings(data): Promise<number[] | Float32Array | Float64Array>
computeQueryEmbeddings(data): Promise<number[] | Uint8Array | Float32Array | Float64Array>
```
Compute the embeddings for a single query
@@ -63,7 +63,7 @@ Compute the embeddings for a single query
#### Returns
`Promise`&lt;`number`[] \| `Float32Array` \| `Float64Array`&gt;
`Promise`&lt;`number`[] \| `Uint8Array` \| `Float32Array` \| `Float64Array`&gt;
***

View File

@@ -37,7 +37,7 @@ new TextEmbeddingFunction<M>(): TextEmbeddingFunction<M>
### computeQueryEmbeddings()
```ts
computeQueryEmbeddings(data): Promise<number[] | Float32Array | Float64Array>
computeQueryEmbeddings(data): Promise<number[] | Uint8Array | Float32Array | Float64Array>
```
Compute the embeddings for a single query
@@ -48,7 +48,7 @@ Compute the embeddings for a single query
#### Returns
`Promise`&lt;`number`[] \| `Float32Array` \| `Float64Array`&gt;
`Promise`&lt;`number`[] \| `Uint8Array` \| `Float32Array` \| `Float64Array`&gt;
#### Overrides

View File

@@ -7,5 +7,10 @@
# Type Alias: IntoVector
```ts
type IntoVector: Float32Array | Float64Array | number[] | Promise<Float32Array | Float64Array | number[]>;
type IntoVector:
| Float32Array
| Float64Array
| Uint8Array
| number[]
| Promise<Float32Array | Float64Array | Uint8Array | number[]>;
```

View File

@@ -36,6 +36,20 @@ is also an [asynchronous API client](#connections-asynchronous).
::: lancedb.table.Tags
## Expressions
Type-safe expression builder for filters and projections. Use these instead
of raw SQL strings with [where][lancedb.query.LanceQueryBuilder.where] and
[select][lancedb.query.LanceQueryBuilder.select].
::: lancedb.expr.Expr
::: lancedb.expr.col
::: lancedb.expr.lit
::: lancedb.expr.func
## Querying (Synchronous)
::: lancedb.query.Query

View File

@@ -8,7 +8,7 @@
<parent>
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.27.0-beta.5</version>
<version>0.28.0-beta.0</version>
<relativePath>../pom.xml</relativePath>
</parent>

View File

@@ -6,7 +6,7 @@
<groupId>com.lancedb</groupId>
<artifactId>lancedb-parent</artifactId>
<version>0.27.0-beta.5</version>
<version>0.28.0-beta.0</version>
<packaging>pom</packaging>
<name>${project.artifactId}</name>
<description>LanceDB Java SDK Parent POM</description>
@@ -28,7 +28,7 @@
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<arrow.version>15.0.0</arrow.version>
<lance-core.version>3.1.0-beta.2</lance-core.version>
<lance-core.version>5.0.0-beta.4</lance-core.version>
<spotless.skip>false</spotless.skip>
<spotless.version>2.30.0</spotless.version>
<spotless.java.googlejavaformat.version>1.7</spotless.java.googlejavaformat.version>

View File

@@ -1,7 +1,7 @@
[package]
name = "lancedb-nodejs"
edition.workspace = true
version = "0.27.0-beta.5"
version = "0.28.0-beta.0"
license.workspace = true
description.workspace = true
repository.workspace = true
@@ -15,6 +15,8 @@ crate-type = ["cdylib"]
async-trait.workspace = true
arrow-ipc.workspace = true
arrow-array.workspace = true
arrow-buffer = "57.2"
half.workspace = true
arrow-schema.workspace = true
env_logger.workspace = true
futures.workspace = true

View File

@@ -103,7 +103,7 @@ describe.each([arrow15, arrow16, arrow17, arrow18])(
},
numIndices: 0,
numRows: 3,
totalBytes: 24,
totalBytes: 44,
});
});

View File

@@ -0,0 +1,110 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import * as tmp from "tmp";
import { type Table, connect } from "../lancedb";
import {
Field,
FixedSizeList,
Float32,
Int64,
Schema,
makeArrowTable,
} from "../lancedb/arrow";
describe("Vector query with different typed arrays", () => {
let tmpDir: tmp.DirResult;
afterEach(() => {
tmpDir?.removeCallback();
});
async function createFloat32Table(): Promise<Table> {
tmpDir = tmp.dirSync({ unsafeCleanup: true });
const db = await connect(tmpDir.name);
const schema = new Schema([
new Field("id", new Int64(), true),
new Field(
"vec",
new FixedSizeList(2, new Field("item", new Float32())),
true,
),
]);
const data = makeArrowTable(
[
{ id: 1n, vec: [1.0, 0.0] },
{ id: 2n, vec: [0.0, 1.0] },
{ id: 3n, vec: [1.0, 1.0] },
],
{ schema },
);
return db.createTable("test_f32", data);
}
it("should search with Float32Array (baseline)", async () => {
const table = await createFloat32Table();
const results = await table
.query()
.nearestTo(new Float32Array([1.0, 0.0]))
.limit(1)
.toArray();
expect(results.length).toBe(1);
expect(Number(results[0].id)).toBe(1);
});
it("should search with number[] (backward compat)", async () => {
const table = await createFloat32Table();
const results = await table
.query()
.nearestTo([1.0, 0.0])
.limit(1)
.toArray();
expect(results.length).toBe(1);
expect(Number(results[0].id)).toBe(1);
});
it("should search with Float64Array via raw path", async () => {
const table = await createFloat32Table();
const results = await table
.query()
.nearestTo(new Float64Array([1.0, 0.0]))
.limit(1)
.toArray();
expect(results.length).toBe(1);
expect(Number(results[0].id)).toBe(1);
});
it("should add multiple query vectors with Float64Array", async () => {
const table = await createFloat32Table();
const results = await table
.query()
.nearestTo(new Float64Array([1.0, 0.0]))
.addQueryVector(new Float64Array([0.0, 1.0]))
.limit(2)
.toArray();
expect(results.length).toBeGreaterThanOrEqual(2);
});
// Float16Array is only available in Node 22+; not in TypeScript's standard lib yet
const float16ArrayCtor = (globalThis as unknown as Record<string, unknown>)
.Float16Array as (new (values: number[]) => unknown) | undefined;
const hasFloat16 = float16ArrayCtor !== undefined;
const f16it = hasFloat16 ? it : it.skip;
f16it("should search with Float16Array via raw path", async () => {
const table = await createFloat32Table();
const results = await table
.query()
.nearestTo(new float16ArrayCtor!([1.0, 0.0]) as Float32Array)
.limit(1)
.toArray();
expect(results.length).toBe(1);
expect(Number(results[0].id)).toBe(1);
});
});

View File

@@ -117,8 +117,9 @@ export type TableLike =
export type IntoVector =
| Float32Array
| Float64Array
| Uint8Array
| number[]
| Promise<Float32Array | Float64Array | number[]>;
| Promise<Float32Array | Float64Array | Uint8Array | number[]>;
export type MultiVector = IntoVector[];
@@ -126,14 +127,48 @@ export function isMultiVector(value: unknown): value is MultiVector {
return Array.isArray(value) && isIntoVector(value[0]);
}
// Float16Array is not in TypeScript's standard lib yet; access dynamically
type Float16ArrayCtor = new (
...args: unknown[]
) => { buffer: ArrayBuffer; byteOffset: number; byteLength: number };
const float16ArrayCtor = (globalThis as unknown as Record<string, unknown>)
.Float16Array as Float16ArrayCtor | undefined;
export function isIntoVector(value: unknown): value is IntoVector {
return (
value instanceof Float32Array ||
value instanceof Float64Array ||
value instanceof Uint8Array ||
(float16ArrayCtor !== undefined && value instanceof float16ArrayCtor) ||
(Array.isArray(value) && !Array.isArray(value[0]))
);
}
/**
* Extract the underlying byte buffer and data type from a typed array
* for passing to the Rust NAPI layer without precision loss.
*/
export function extractVectorBuffer(
vector: Float32Array | Float64Array | Uint8Array,
): { data: Uint8Array; dtype: string } | null {
if (float16ArrayCtor !== undefined && vector instanceof float16ArrayCtor) {
return {
data: new Uint8Array(vector.buffer, vector.byteOffset, vector.byteLength),
dtype: "float16",
};
}
if (vector instanceof Float64Array) {
return {
data: new Uint8Array(vector.buffer, vector.byteOffset, vector.byteLength),
dtype: "float64",
};
}
if (vector instanceof Uint8Array && !(vector instanceof Float32Array)) {
return { data: vector, dtype: "uint8" };
}
return null;
}
export function isArrowTable(value: object): value is TableLike {
if (value instanceof ArrowTable) return true;
return "schema" in value && "batches" in value;

View File

@@ -166,25 +166,25 @@ export abstract class Connection {
* List all the table names in this database.
*
* Tables will be returned in lexicographical order.
* @param {string[]} namespace - The namespace to list tables from (defaults to root namespace)
* @param {string[]} namespacePath - The namespace path to list tables from (defaults to root namespace)
* @param {Partial<TableNamesOptions>} options - options to control the
* paging / start point
*
*/
abstract tableNames(
namespace?: string[],
namespacePath?: string[],
options?: Partial<TableNamesOptions>,
): Promise<string[]>;
/**
* Open a table in the database.
* @param {string} name - The name of the table
* @param {string[]} namespace - The namespace of the table (defaults to root namespace)
* @param {string[]} namespacePath - The namespace path of the table (defaults to root namespace)
* @param {Partial<OpenTableOptions>} options - Additional options
*/
abstract openTable(
name: string,
namespace?: string[],
namespacePath?: string[],
options?: Partial<OpenTableOptions>,
): Promise<Table>;
@@ -193,7 +193,7 @@ export abstract class Connection {
* @param {object} options - The options object.
* @param {string} options.name - The name of the table.
* @param {Data} options.data - Non-empty Array of Records to be inserted into the table
* @param {string[]} namespace - The namespace to create the table in (defaults to root namespace)
* @param {string[]} namespacePath - The namespace path to create the table in (defaults to root namespace)
*
*/
abstract createTable(
@@ -201,7 +201,7 @@ export abstract class Connection {
name: string;
data: Data;
} & Partial<CreateTableOptions>,
namespace?: string[],
namespacePath?: string[],
): Promise<Table>;
/**
* Creates a new Table and initialize it with new data.
@@ -220,13 +220,13 @@ export abstract class Connection {
* @param {string} name - The name of the table.
* @param {Record<string, unknown>[] | TableLike} data - Non-empty Array of Records
* to be inserted into the table
* @param {string[]} namespace - The namespace to create the table in (defaults to root namespace)
* @param {string[]} namespacePath - The namespace path to create the table in (defaults to root namespace)
* @param {Partial<CreateTableOptions>} options - Additional options
*/
abstract createTable(
name: string,
data: Record<string, unknown>[] | TableLike,
namespace?: string[],
namespacePath?: string[],
options?: Partial<CreateTableOptions>,
): Promise<Table>;
@@ -245,28 +245,28 @@ export abstract class Connection {
* Creates a new empty Table
* @param {string} name - The name of the table.
* @param {Schema} schema - The schema of the table
* @param {string[]} namespace - The namespace to create the table in (defaults to root namespace)
* @param {string[]} namespacePath - The namespace path to create the table in (defaults to root namespace)
* @param {Partial<CreateTableOptions>} options - Additional options
*/
abstract createEmptyTable(
name: string,
schema: import("./arrow").SchemaLike,
namespace?: string[],
namespacePath?: string[],
options?: Partial<CreateTableOptions>,
): Promise<Table>;
/**
* Drop an existing table.
* @param {string} name The name of the table to drop.
* @param {string[]} namespace The namespace of the table (defaults to root namespace).
* @param {string[]} namespacePath The namespace path of the table (defaults to root namespace).
*/
abstract dropTable(name: string, namespace?: string[]): Promise<void>;
abstract dropTable(name: string, namespacePath?: string[]): Promise<void>;
/**
* Drop all tables in the database.
* @param {string[]} namespace The namespace to drop tables from (defaults to root namespace).
* @param {string[]} namespacePath The namespace path to drop tables from (defaults to root namespace).
*/
abstract dropAllTables(namespace?: string[]): Promise<void>;
abstract dropAllTables(namespacePath?: string[]): Promise<void>;
/**
* Clone a table from a source table.
@@ -279,7 +279,7 @@ export abstract class Connection {
* @param {string} targetTableName - The name of the target table to create.
* @param {string} sourceUri - The URI of the source table to clone from.
* @param {object} options - Clone options.
* @param {string[]} options.targetNamespace - The namespace for the target table (defaults to root namespace).
* @param {string[]} options.targetNamespacePath - The namespace path for the target table (defaults to root namespace).
* @param {number} options.sourceVersion - The version of the source table to clone.
* @param {string} options.sourceTag - The tag of the source table to clone.
* @param {boolean} options.isShallow - Whether to perform a shallow clone (defaults to true).
@@ -288,7 +288,7 @@ export abstract class Connection {
targetTableName: string,
sourceUri: string,
options?: {
targetNamespace?: string[];
targetNamespacePath?: string[];
sourceVersion?: number;
sourceTag?: string;
isShallow?: boolean;
@@ -319,25 +319,25 @@ export class LocalConnection extends Connection {
}
async tableNames(
namespaceOrOptions?: string[] | Partial<TableNamesOptions>,
namespacePathOrOptions?: string[] | Partial<TableNamesOptions>,
options?: Partial<TableNamesOptions>,
): Promise<string[]> {
// Detect if first argument is namespace array or options object
let namespace: string[] | undefined;
// Detect if first argument is namespacePath array or options object
let namespacePath: string[] | undefined;
let tableNamesOptions: Partial<TableNamesOptions> | undefined;
if (Array.isArray(namespaceOrOptions)) {
// First argument is namespace array
namespace = namespaceOrOptions;
if (Array.isArray(namespacePathOrOptions)) {
// First argument is namespacePath array
namespacePath = namespacePathOrOptions;
tableNamesOptions = options;
} else {
// First argument is options object (backwards compatibility)
namespace = undefined;
tableNamesOptions = namespaceOrOptions;
namespacePath = undefined;
tableNamesOptions = namespacePathOrOptions;
}
return this.inner.tableNames(
namespace ?? [],
namespacePath ?? [],
tableNamesOptions?.startAfter,
tableNamesOptions?.limit,
);
@@ -345,12 +345,12 @@ export class LocalConnection extends Connection {
async openTable(
name: string,
namespace?: string[],
namespacePath?: string[],
options?: Partial<OpenTableOptions>,
): Promise<Table> {
const innerTable = await this.inner.openTable(
name,
namespace ?? [],
namespacePath ?? [],
cleanseStorageOptions(options?.storageOptions),
options?.indexCacheSize,
);
@@ -362,7 +362,7 @@ export class LocalConnection extends Connection {
targetTableName: string,
sourceUri: string,
options?: {
targetNamespace?: string[];
targetNamespacePath?: string[];
sourceVersion?: number;
sourceTag?: string;
isShallow?: boolean;
@@ -371,7 +371,7 @@ export class LocalConnection extends Connection {
const innerTable = await this.inner.cloneTable(
targetTableName,
sourceUri,
options?.targetNamespace ?? [],
options?.targetNamespacePath ?? [],
options?.sourceVersion ?? null,
options?.sourceTag ?? null,
options?.isShallow ?? true,
@@ -406,42 +406,42 @@ export class LocalConnection extends Connection {
nameOrOptions:
| string
| ({ name: string; data: Data } & Partial<CreateTableOptions>),
dataOrNamespace?: Record<string, unknown>[] | TableLike | string[],
namespaceOrOptions?: string[] | Partial<CreateTableOptions>,
dataOrNamespacePath?: Record<string, unknown>[] | TableLike | string[],
namespacePathOrOptions?: string[] | Partial<CreateTableOptions>,
options?: Partial<CreateTableOptions>,
): Promise<Table> {
if (typeof nameOrOptions !== "string" && "name" in nameOrOptions) {
// First overload: createTable(options, namespace?)
// First overload: createTable(options, namespacePath?)
const { name, data, ...createOptions } = nameOrOptions;
const namespace = dataOrNamespace as string[] | undefined;
return this._createTableImpl(name, data, namespace, createOptions);
const namespacePath = dataOrNamespacePath as string[] | undefined;
return this._createTableImpl(name, data, namespacePath, createOptions);
}
// Second overload: createTable(name, data, namespace?, options?)
// Second overload: createTable(name, data, namespacePath?, options?)
const name = nameOrOptions;
const data = dataOrNamespace as Record<string, unknown>[] | TableLike;
const data = dataOrNamespacePath as Record<string, unknown>[] | TableLike;
// Detect if third argument is namespace array or options object
let namespace: string[] | undefined;
// Detect if third argument is namespacePath array or options object
let namespacePath: string[] | undefined;
let createOptions: Partial<CreateTableOptions> | undefined;
if (Array.isArray(namespaceOrOptions)) {
// Third argument is namespace array
namespace = namespaceOrOptions;
if (Array.isArray(namespacePathOrOptions)) {
// Third argument is namespacePath array
namespacePath = namespacePathOrOptions;
createOptions = options;
} else {
// Third argument is options object (backwards compatibility)
namespace = undefined;
createOptions = namespaceOrOptions;
namespacePath = undefined;
createOptions = namespacePathOrOptions;
}
return this._createTableImpl(name, data, namespace, createOptions);
return this._createTableImpl(name, data, namespacePath, createOptions);
}
private async _createTableImpl(
name: string,
data: Data,
namespace?: string[],
namespacePath?: string[],
options?: Partial<CreateTableOptions>,
): Promise<Table> {
if (data === undefined) {
@@ -455,7 +455,7 @@ export class LocalConnection extends Connection {
name,
buf,
mode,
namespace ?? [],
namespacePath ?? [],
storageOptions,
);
@@ -465,21 +465,21 @@ export class LocalConnection extends Connection {
async createEmptyTable(
name: string,
schema: import("./arrow").SchemaLike,
namespaceOrOptions?: string[] | Partial<CreateTableOptions>,
namespacePathOrOptions?: string[] | Partial<CreateTableOptions>,
options?: Partial<CreateTableOptions>,
): Promise<Table> {
// Detect if third argument is namespace array or options object
let namespace: string[] | undefined;
// Detect if third argument is namespacePath array or options object
let namespacePath: string[] | undefined;
let createOptions: Partial<CreateTableOptions> | undefined;
if (Array.isArray(namespaceOrOptions)) {
// Third argument is namespace array
namespace = namespaceOrOptions;
if (Array.isArray(namespacePathOrOptions)) {
// Third argument is namespacePath array
namespacePath = namespacePathOrOptions;
createOptions = options;
} else {
// Third argument is options object (backwards compatibility)
namespace = undefined;
createOptions = namespaceOrOptions;
namespacePath = undefined;
createOptions = namespacePathOrOptions;
}
let mode: string = createOptions?.mode ?? "create";
@@ -502,18 +502,18 @@ export class LocalConnection extends Connection {
name,
buf,
mode,
namespace ?? [],
namespacePath ?? [],
storageOptions,
);
return new LocalTable(innerTable);
}
async dropTable(name: string, namespace?: string[]): Promise<void> {
return this.inner.dropTable(name, namespace ?? []);
async dropTable(name: string, namespacePath?: string[]): Promise<void> {
return this.inner.dropTable(name, namespacePath ?? []);
}
async dropAllTables(namespace?: string[]): Promise<void> {
return this.inner.dropAllTables(namespace ?? []);
async dropAllTables(namespacePath?: string[]): Promise<void> {
return this.inner.dropAllTables(namespacePath ?? []);
}
}

View File

@@ -5,6 +5,7 @@ import {
Table as ArrowTable,
type IntoVector,
RecordBatch,
extractVectorBuffer,
fromBufferToRecordBatch,
fromRecordBatchToBuffer,
tableFromIPC,
@@ -661,10 +662,8 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
const res = (async () => {
try {
const v = await vector;
const arr = Float32Array.from(v);
//
// biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping
const value: any = this.addQueryVector(arr);
const value: any = this.addQueryVector(v);
const inner = value.inner as
| NativeVectorQuery
| Promise<NativeVectorQuery>;
@@ -676,7 +675,12 @@ export class VectorQuery extends StandardQueryBase<NativeVectorQuery> {
return new VectorQuery(res);
} else {
super.doCall((inner) => {
inner.addQueryVector(Float32Array.from(vector));
const raw = Array.isArray(vector) ? null : extractVectorBuffer(vector);
if (raw) {
inner.addQueryVectorRaw(raw.data, raw.dtype);
} else {
inner.addQueryVector(Float32Array.from(vector as number[]));
}
});
return this;
}
@@ -765,14 +769,23 @@ export class Query extends StandardQueryBase<NativeQuery> {
* a default `limit` of 10 will be used. @see {@link Query#limit}
*/
nearestTo(vector: IntoVector): VectorQuery {
const callNearestTo = (
inner: NativeQuery,
resolved: Float32Array | Float64Array | Uint8Array | number[],
): NativeVectorQuery => {
const raw = Array.isArray(resolved)
? null
: extractVectorBuffer(resolved);
if (raw) {
return inner.nearestToRaw(raw.data, raw.dtype);
}
return inner.nearestTo(Float32Array.from(resolved as number[]));
};
if (this.inner instanceof Promise) {
const nativeQuery = this.inner.then(async (inner) => {
if (vector instanceof Promise) {
const arr = await vector.then((v) => Float32Array.from(v));
return inner.nearestTo(arr);
} else {
return inner.nearestTo(Float32Array.from(vector));
}
const resolved = vector instanceof Promise ? await vector : vector;
return callNearestTo(inner, resolved);
});
return new VectorQuery(nativeQuery);
}
@@ -780,10 +793,8 @@ export class Query extends StandardQueryBase<NativeQuery> {
const res = (async () => {
try {
const v = await vector;
const arr = Float32Array.from(v);
//
// biome-ignore lint/suspicious/noExplicitAny: we need to get the `inner`, but js has no package scoping
const value: any = this.nearestTo(arr);
const value: any = this.nearestTo(v);
const inner = value.inner as
| NativeVectorQuery
| Promise<NativeVectorQuery>;
@@ -794,7 +805,7 @@ export class Query extends StandardQueryBase<NativeQuery> {
})();
return new VectorQuery(res);
} else {
const vectorQuery = this.inner.nearestTo(Float32Array.from(vector));
const vectorQuery = callNearestTo(this.inner, vector);
return new VectorQuery(vectorQuery);
}
}

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-darwin-arm64",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": ["darwin"],
"cpu": ["arm64"],
"main": "lancedb.darwin-arm64.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-gnu",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-arm64-musl",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": ["linux"],
"cpu": ["arm64"],
"main": "lancedb.linux-arm64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-gnu",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-gnu.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-linux-x64-musl",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": ["linux"],
"cpu": ["x64"],
"main": "lancedb.linux-x64-musl.node",

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-arm64-msvc",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": [
"win32"
],

View File

@@ -1,6 +1,6 @@
{
"name": "@lancedb/lancedb-win32-x64-msvc",
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"os": ["win32"],
"cpu": ["x64"],
"main": "lancedb.win32-x64-msvc.node",

View File

@@ -1,12 +1,12 @@
{
"name": "@lancedb/lancedb",
"version": "0.27.0-beta.5",
"version": "0.27.2",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "@lancedb/lancedb",
"version": "0.27.0-beta.5",
"version": "0.27.2",
"cpu": [
"x64",
"arm64"

View File

@@ -11,7 +11,7 @@
"ann"
],
"private": false,
"version": "0.27.0-beta.5",
"version": "0.28.0-beta.0",
"main": "dist/index.js",
"exports": {
".": "./dist/index.js",

View File

@@ -119,12 +119,12 @@ impl Connection {
#[napi(catch_unwind)]
pub async fn table_names(
&self,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
start_after: Option<String>,
limit: Option<u32>,
) -> napi::Result<Vec<String>> {
let mut op = self.get_inner()?.table_names();
op = op.namespace(namespace);
op = op.namespace(namespace_path.unwrap_or_default());
if let Some(start_after) = start_after {
op = op.start_after(start_after);
}
@@ -146,7 +146,7 @@ impl Connection {
name: String,
buf: Buffer,
mode: String,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
storage_options: Option<HashMap<String, String>>,
) -> napi::Result<Table> {
let batches = ipc_file_to_batches(buf.to_vec())
@@ -154,7 +154,7 @@ impl Connection {
let mode = Self::parse_create_mode_str(&mode)?;
let mut builder = self.get_inner()?.create_table(&name, batches).mode(mode);
builder = builder.namespace(namespace);
builder = builder.namespace(namespace_path.unwrap_or_default());
if let Some(storage_options) = storage_options {
for (key, value) in storage_options {
@@ -171,7 +171,7 @@ impl Connection {
name: String,
schema_buf: Buffer,
mode: String,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
storage_options: Option<HashMap<String, String>>,
) -> napi::Result<Table> {
let schema = ipc_file_to_schema(schema_buf.to_vec()).map_err(|e| {
@@ -183,7 +183,7 @@ impl Connection {
.create_empty_table(&name, schema)
.mode(mode);
builder = builder.namespace(namespace);
builder = builder.namespace(namespace_path.unwrap_or_default());
if let Some(storage_options) = storage_options {
for (key, value) in storage_options {
@@ -198,13 +198,13 @@ impl Connection {
pub async fn open_table(
&self,
name: String,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
storage_options: Option<HashMap<String, String>>,
index_cache_size: Option<u32>,
) -> napi::Result<Table> {
let mut builder = self.get_inner()?.open_table(&name);
builder = builder.namespace(namespace);
builder = builder.namespace(namespace_path.unwrap_or_default());
if let Some(storage_options) = storage_options {
for (key, value) in storage_options {
@@ -223,7 +223,7 @@ impl Connection {
&self,
target_table_name: String,
source_uri: String,
target_namespace: Vec<String>,
target_namespace_path: Option<Vec<String>>,
source_version: Option<i64>,
source_tag: Option<String>,
is_shallow: bool,
@@ -232,7 +232,7 @@ impl Connection {
.get_inner()?
.clone_table(&target_table_name, &source_uri);
builder = builder.target_namespace(target_namespace);
builder = builder.target_namespace(target_namespace_path.unwrap_or_default());
if let Some(version) = source_version {
builder = builder.source_version(version as u64);
@@ -250,18 +250,21 @@ impl Connection {
/// Drop table with the name. Or raise an error if the table does not exist.
#[napi(catch_unwind)]
pub async fn drop_table(&self, name: String, namespace: Vec<String>) -> napi::Result<()> {
pub async fn drop_table(
&self,
name: String,
namespace_path: Option<Vec<String>>,
) -> napi::Result<()> {
let ns = namespace_path.unwrap_or_default();
self.get_inner()?
.drop_table(&name, &namespace)
.drop_table(&name, &ns)
.await
.default_error()
}
#[napi(catch_unwind)]
pub async fn drop_all_tables(&self, namespace: Vec<String>) -> napi::Result<()> {
self.get_inner()?
.drop_all_tables(&namespace)
.await
.default_error()
pub async fn drop_all_tables(&self, namespace_path: Option<Vec<String>>) -> napi::Result<()> {
let ns = namespace_path.unwrap_or_default();
self.get_inner()?.drop_all_tables(&ns).await.default_error()
}
}

View File

@@ -3,6 +3,12 @@
use std::sync::Arc;
use arrow_array::{
Array, Float16Array as ArrowFloat16Array, Float32Array as ArrowFloat32Array,
Float64Array as ArrowFloat64Array, UInt8Array as ArrowUInt8Array,
};
use arrow_buffer::ScalarBuffer;
use half::f16;
use lancedb::index::scalar::{
BooleanQuery, BoostQuery, FtsQuery, FullTextSearchQuery, MatchQuery, MultiMatchQuery, Occur,
Operator, PhraseQuery,
@@ -24,6 +30,33 @@ use crate::rerankers::RerankHybridCallbackArgs;
use crate::rerankers::Reranker;
use crate::util::{parse_distance_type, schema_to_buffer};
fn bytes_to_arrow_array(data: Uint8Array, dtype: String) -> napi::Result<Arc<dyn Array>> {
let buf = arrow_buffer::Buffer::from(data.to_vec());
let num_bytes = buf.len();
match dtype.as_str() {
"float16" => {
let scalar_buf = ScalarBuffer::<f16>::new(buf, 0, num_bytes / 2);
Ok(Arc::new(ArrowFloat16Array::new(scalar_buf, None)))
}
"float32" => {
let scalar_buf = ScalarBuffer::<f32>::new(buf, 0, num_bytes / 4);
Ok(Arc::new(ArrowFloat32Array::new(scalar_buf, None)))
}
"float64" => {
let scalar_buf = ScalarBuffer::<f64>::new(buf, 0, num_bytes / 8);
Ok(Arc::new(ArrowFloat64Array::new(scalar_buf, None)))
}
"uint8" => {
let scalar_buf = ScalarBuffer::<u8>::new(buf, 0, num_bytes);
Ok(Arc::new(ArrowUInt8Array::new(scalar_buf, None)))
}
_ => Err(napi::Error::from_reason(format!(
"Unsupported vector dtype: {}. Expected one of: float16, float32, float64, uint8",
dtype
))),
}
}
#[napi]
pub struct Query {
inner: LanceDbQuery,
@@ -78,6 +111,13 @@ impl Query {
Ok(VectorQuery { inner })
}
#[napi]
pub fn nearest_to_raw(&mut self, data: Uint8Array, dtype: String) -> Result<VectorQuery> {
let array = bytes_to_arrow_array(data, dtype)?;
let inner = self.inner.clone().nearest_to(array).default_error()?;
Ok(VectorQuery { inner })
}
#[napi]
pub fn fast_search(&mut self) {
self.inner = self.inner.clone().fast_search();
@@ -163,6 +203,13 @@ impl VectorQuery {
Ok(())
}
#[napi]
pub fn add_query_vector_raw(&mut self, data: Uint8Array, dtype: String) -> Result<()> {
let array = bytes_to_arrow_array(data, dtype)?;
self.inner = self.inner.clone().add_query_vector(array).default_error()?;
Ok(())
}
#[napi]
pub fn distance_type(&mut self, distance_type: String) -> napi::Result<()> {
let distance_type = parse_distance_type(distance_type)?;

View File

@@ -1,5 +1,5 @@
[tool.bumpversion]
current_version = "0.30.0"
current_version = "0.31.0-beta.0"
parse = """(?x)
(?P<major>0|[1-9]\\d*)\\.
(?P<minor>0|[1-9]\\d*)\\.

2
python/.gitignore vendored
View File

@@ -1,3 +1,5 @@
# Test data created by some example tests
data/
_lancedb.pyd
# macOS debug symbols bundle generated during build
*.dSYM/

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb-python"
version = "0.30.0"
version = "0.31.0-beta.0"
edition.workspace = true
description = "Python bindings for LanceDB"
license.workspace = true
@@ -23,6 +23,7 @@ lance-namespace.workspace = true
lance-namespace-impls.workspace = true
lance-io.workspace = true
env_logger.workspace = true
log.workspace = true
pyo3 = { version = "0.26", features = ["extension-module", "abi3-py39"] }
pyo3-async-runtimes = { version = "0.26", features = [
"attributes",

View File

@@ -45,7 +45,7 @@ repository = "https://github.com/lancedb/lancedb"
[project.optional-dependencies]
pylance = [
"pylance>=4.0.0b7",
"pylance>=5.0.0b3",
]
tests = [
"aiohttp>=3.9.0",
@@ -59,7 +59,7 @@ tests = [
"polars>=0.19, <=1.3.0",
"tantivy>=0.20.0",
"pyarrow-stubs>=16.0",
"pylance>=4.0.0b7",
"pylance>=5.0.0b3",
"requests>=2.31.0",
"datafusion>=52,<53",
]

View File

@@ -6,7 +6,7 @@ import importlib.metadata
import os
from concurrent.futures import ThreadPoolExecutor
from datetime import timedelta
from typing import Dict, Optional, Union, Any
from typing import Dict, Optional, Union, Any, List
import warnings
__version__ = importlib.metadata.version("lancedb")
@@ -15,9 +15,9 @@ from ._lancedb import connect as lancedb_connect
from .common import URI, sanitize_uri
from urllib.parse import urlparse
from .db import AsyncConnection, DBConnection, LanceDBConnection
from .io import StorageOptionsProvider
from .remote import ClientConfig
from .remote.db import RemoteDBConnection
from .expr import Expr, col, lit, func
from .schema import vector
from .table import AsyncTable, Table
from ._lancedb import Session
@@ -63,7 +63,7 @@ def _check_s3_bucket_with_dots(
def connect(
uri: URI,
uri: Optional[URI] = None,
*,
api_key: Optional[str] = None,
region: str = "us-east-1",
@@ -73,14 +73,18 @@ def connect(
client_config: Union[ClientConfig, Dict[str, Any], None] = None,
storage_options: Optional[Dict[str, str]] = None,
session: Optional[Session] = None,
namespace_client_impl: Optional[str] = None,
namespace_client_properties: Optional[Dict[str, str]] = None,
namespace_client_pushdown_operations: Optional[List[str]] = None,
**kwargs: Any,
) -> DBConnection:
"""Connect to a LanceDB database.
Parameters
----------
uri: str or Path
The uri of the database.
uri: str or Path, optional
The uri of the database. When ``namespace_client_impl`` is provided you may
omit ``uri`` and connect through a namespace client instead.
api_key: str, optional
If presented, connect to LanceDB cloud.
Otherwise, connect to a database on file system or cloud storage.
@@ -113,6 +117,18 @@ def connect(
cache sizes for index and metadata caches, which can significantly
impact memory use and performance. They can also be re-used across
multiple connections to share the same cache state.
namespace_client_impl : str, optional
When provided along with ``namespace_client_properties``, ``connect``
returns a namespace-backed connection by delegating to
:func:`connect_namespace`. The value identifies which namespace
implementation to load (e.g., ``"dir"`` or ``"rest"``).
namespace_client_properties : dict, optional
Configuration to pass to the namespace client implementation. Required
when ``namespace_client_impl`` is set.
namespace_client_pushdown_operations : list[str], optional
Only used when ``namespace_client_properties`` is provided. Forwards to
:func:`connect_namespace` to control which operations are executed on the
namespace service (e.g., ``["QueryTable", "CreateTable"]``).
Examples
--------
@@ -132,11 +148,42 @@ def connect(
>>> db = lancedb.connect("db://my_database", api_key="ldb_...",
... client_config={"retry_config": {"retries": 5}})
Connect to a namespace-backed database:
>>> db = lancedb.connect(namespace_client_impl="dir",
... namespace_client_properties={"root": "/tmp/ns"})
Returns
-------
conn : DBConnection
A connection to a LanceDB database.
"""
if namespace_client_impl is not None or namespace_client_properties is not None:
if namespace_client_impl is None or namespace_client_properties is None:
raise ValueError(
"Both namespace_client_impl and "
"namespace_client_properties must be provided"
)
if kwargs:
raise ValueError(f"Unknown keyword arguments: {kwargs}")
return connect_namespace(
namespace_client_impl,
namespace_client_properties,
read_consistency_interval=read_consistency_interval,
storage_options=storage_options,
session=session,
namespace_client_pushdown_operations=namespace_client_pushdown_operations,
)
if namespace_client_pushdown_operations is not None:
raise ValueError(
"namespace_client_pushdown_operations is only valid when "
"connecting through a namespace"
)
if uri is None:
raise ValueError(
"uri is required when not connecting through a namespace client"
)
if isinstance(uri, str) and uri.startswith("db://"):
if api_key is None:
api_key = os.environ.get("LANCEDB_API_KEY")
@@ -271,6 +318,10 @@ __all__ = [
"AsyncConnection",
"AsyncLanceNamespaceDBConnection",
"AsyncTable",
"col",
"Expr",
"func",
"lit",
"URI",
"sanitize_uri",
"vector",
@@ -279,7 +330,6 @@ __all__ = [
"LanceNamespaceDBConnection",
"RemoteDBConnection",
"Session",
"StorageOptionsProvider",
"Table",
"__version__",
]

View File

@@ -14,7 +14,6 @@ from .index import (
HnswSq,
FTS,
)
from .io import StorageOptionsProvider
from lance_namespace import (
ListNamespacesResponse,
CreateNamespaceResponse,
@@ -27,6 +26,32 @@ from .remote import ClientConfig
IvfHnswPq: type[HnswPq] = HnswPq
IvfHnswSq: type[HnswSq] = HnswSq
class PyExpr:
"""A type-safe DataFusion expression node (Rust-side handle)."""
def eq(self, other: "PyExpr") -> "PyExpr": ...
def ne(self, other: "PyExpr") -> "PyExpr": ...
def lt(self, other: "PyExpr") -> "PyExpr": ...
def lte(self, other: "PyExpr") -> "PyExpr": ...
def gt(self, other: "PyExpr") -> "PyExpr": ...
def gte(self, other: "PyExpr") -> "PyExpr": ...
def and_(self, other: "PyExpr") -> "PyExpr": ...
def or_(self, other: "PyExpr") -> "PyExpr": ...
def not_(self) -> "PyExpr": ...
def add(self, other: "PyExpr") -> "PyExpr": ...
def sub(self, other: "PyExpr") -> "PyExpr": ...
def mul(self, other: "PyExpr") -> "PyExpr": ...
def div(self, other: "PyExpr") -> "PyExpr": ...
def lower(self) -> "PyExpr": ...
def upper(self) -> "PyExpr": ...
def contains(self, substr: "PyExpr") -> "PyExpr": ...
def cast(self, data_type: pa.DataType) -> "PyExpr": ...
def to_sql(self) -> str: ...
def expr_col(name: str) -> PyExpr: ...
def expr_lit(value: Union[bool, int, float, str]) -> PyExpr: ...
def expr_func(name: str, args: List[PyExpr]) -> PyExpr: ...
class Session:
def __init__(
self,
@@ -46,35 +71,35 @@ class Connection(object):
async def close(self): ...
async def list_namespaces(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse: ...
async def create_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse: ...
async def drop_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse: ...
async def describe_namespace(
self,
namespace: List[str],
namespace_path: List[str],
) -> DescribeNamespaceResponse: ...
async def list_tables(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse: ...
async def table_names(
self,
namespace: Optional[List[str]],
namespace_path: Optional[List[str]],
start_after: Optional[str],
limit: Optional[int],
) -> list[str]: ... # Deprecated: Use list_tables instead
@@ -83,9 +108,8 @@ class Connection(object):
name: str,
mode: str,
data: pa.RecordBatchReader,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional[StorageOptionsProvider] = None,
location: Optional[str] = None,
) -> Table: ...
async def create_empty_table(
@@ -93,17 +117,15 @@ class Connection(object):
name: str,
mode: str,
schema: pa.Schema,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional[StorageOptionsProvider] = None,
location: Optional[str] = None,
) -> Table: ...
async def open_table(
self,
name: str,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional[StorageOptionsProvider] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
) -> Table: ...
@@ -111,7 +133,7 @@ class Connection(object):
self,
target_table_name: str,
source_uri: str,
target_namespace: Optional[List[str]] = None,
target_namespace_path: Optional[List[str]] = None,
source_version: Optional[int] = None,
source_tag: Optional[str] = None,
is_shallow: bool = True,
@@ -120,13 +142,15 @@ class Connection(object):
self,
cur_name: str,
new_name: str,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
) -> None: ...
async def drop_table(
self, name: str, namespace: Optional[List[str]] = None
self, name: str, namespace_path: Optional[List[str]] = None
) -> None: ...
async def drop_all_tables(
self, namespace_path: Optional[List[str]] = None
) -> None: ...
async def drop_all_tables(self, namespace: Optional[List[str]] = None) -> None: ...
class Table:
def name(self) -> str: ...
@@ -135,7 +159,10 @@ class Table:
def close(self) -> None: ...
async def schema(self) -> pa.Schema: ...
async def add(
self, data: pa.RecordBatchReader, mode: Literal["append", "overwrite"]
self,
data: pa.RecordBatchReader,
mode: Literal["append", "overwrite"],
progress: Optional[Any] = None,
) -> AddResult: ...
async def update(
self, updates: Dict[str, str], where: Optional[str]
@@ -222,7 +249,9 @@ class RecordBatchStream:
class Query:
def where(self, filter: str): ...
def select(self, columns: Tuple[str, str]): ...
def where_expr(self, expr: PyExpr): ...
def select(self, columns: List[Tuple[str, str]]): ...
def select_expr(self, columns: List[Tuple[str, PyExpr]]): ...
def select_columns(self, columns: List[str]): ...
def limit(self, limit: int): ...
def offset(self, offset: int): ...
@@ -248,7 +277,9 @@ class TakeQuery:
class FTSQuery:
def where(self, filter: str): ...
def select(self, columns: List[str]): ...
def where_expr(self, expr: PyExpr): ...
def select(self, columns: List[Tuple[str, str]]): ...
def select_expr(self, columns: List[Tuple[str, PyExpr]]): ...
def limit(self, limit: int): ...
def offset(self, offset: int): ...
def fast_search(self): ...
@@ -267,7 +298,9 @@ class VectorQuery:
async def output_schema(self) -> pa.Schema: ...
async def execute(self) -> RecordBatchStream: ...
def where(self, filter: str): ...
def select(self, columns: List[str]): ...
def where_expr(self, expr: PyExpr): ...
def select(self, columns: List[Tuple[str, str]]): ...
def select_expr(self, columns: List[Tuple[str, PyExpr]]): ...
def select_with_projection(self, columns: Tuple[str, str]): ...
def limit(self, limit: int): ...
def offset(self, offset: int): ...
@@ -284,7 +317,9 @@ class VectorQuery:
class HybridQuery:
def where(self, filter: str): ...
def select(self, columns: List[str]): ...
def where_expr(self, expr: PyExpr): ...
def select(self, columns: List[Tuple[str, str]]): ...
def select_expr(self, columns: List[Tuple[str, PyExpr]]): ...
def limit(self, limit: int): ...
def offset(self, offset: int): ...
def fast_search(self): ...

View File

@@ -52,7 +52,6 @@ if TYPE_CHECKING:
from ._lancedb import Connection as LanceDbConnection
from .common import DATA, URI
from .embeddings import EmbeddingFunctionConfig
from .io import StorageOptionsProvider
from ._lancedb import Session
from .namespace_utils import (
@@ -67,7 +66,7 @@ class DBConnection(EnforceOverrides):
def list_namespaces(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse:
@@ -75,7 +74,7 @@ class DBConnection(EnforceOverrides):
Parameters
----------
namespace: List[str], default []
namespace_path: List[str], default []
The parent namespace to list namespaces in.
Empty list represents root namespace.
page_token: str, optional
@@ -89,13 +88,13 @@ class DBConnection(EnforceOverrides):
ListNamespacesResponse
Response containing namespace names and optional page_token for pagination.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return ListNamespacesResponse(namespaces=[], page_token=None)
def create_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse:
@@ -103,7 +102,7 @@ class DBConnection(EnforceOverrides):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to create.
mode: str, optional
Creation mode - "create" (fail if exists), "exist_ok" (skip if exists),
@@ -122,7 +121,7 @@ class DBConnection(EnforceOverrides):
def drop_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse:
@@ -130,7 +129,7 @@ class DBConnection(EnforceOverrides):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to drop.
mode: str, optional
Whether to skip if not exists ("SKIP") or fail ("FAIL"). Case insensitive.
@@ -147,12 +146,14 @@ class DBConnection(EnforceOverrides):
"Namespace operations are not supported for this connection type"
)
def describe_namespace(self, namespace: List[str]) -> DescribeNamespaceResponse:
def describe_namespace(
self, namespace_path: List[str]
) -> DescribeNamespaceResponse:
"""Describe a namespace.
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to describe.
Returns
@@ -166,7 +167,7 @@ class DBConnection(EnforceOverrides):
def list_tables(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse:
@@ -174,7 +175,7 @@ class DBConnection(EnforceOverrides):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to list tables in.
None or empty list represents root namespace.
page_token: str, optional
@@ -198,13 +199,13 @@ class DBConnection(EnforceOverrides):
page_token: Optional[str] = None,
limit: int = 10,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
) -> Iterable[str]:
"""List all tables in this database, in sorted order
Parameters
----------
namespace: List[str], default []
namespace_path: List[str], default []
The namespace to list tables in.
Empty list represents root namespace.
page_token: str, optional
@@ -231,9 +232,8 @@ class DBConnection(EnforceOverrides):
fill_value: float = 0.0,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
data_storage_version: Optional[str] = None,
enable_v2_manifest_paths: Optional[bool] = None,
) -> Table:
@@ -243,7 +243,7 @@ class DBConnection(EnforceOverrides):
----------
name: str
The name of the table.
namespace: List[str], default []
namespace_path: List[str], default []
The namespace to create the table in.
Empty list represents root namespace.
data: The data to initialize the table, *optional*
@@ -401,9 +401,8 @@ class DBConnection(EnforceOverrides):
self,
name: str,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
) -> Table:
"""Open a Lance Table in the database.
@@ -412,7 +411,7 @@ class DBConnection(EnforceOverrides):
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to open the table from.
None or empty list represents root namespace.
index_cache_size: int, default 256
@@ -440,27 +439,27 @@ class DBConnection(EnforceOverrides):
"""
raise NotImplementedError
def drop_table(self, name: str, namespace: Optional[List[str]] = None):
def drop_table(self, name: str, namespace_path: Optional[List[str]] = None):
"""Drop a table from the database.
Parameters
----------
name: str
The name of the table.
namespace: List[str], default []
namespace_path: List[str], default []
The namespace to drop the table from.
Empty list represents root namespace.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
raise NotImplementedError
def rename_table(
self,
cur_name: str,
new_name: str,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
):
"""Rename a table in the database.
@@ -470,17 +469,17 @@ class DBConnection(EnforceOverrides):
The current name of the table.
new_name: str
The new name of the table.
cur_namespace: List[str], optional
cur_namespace_path: List[str], optional
The namespace of the current table.
None or empty list represents root namespace.
new_namespace: List[str], optional
new_namespace_path: List[str], optional
The namespace to move the table to.
If not specified, defaults to the same as cur_namespace.
"""
if cur_namespace is None:
cur_namespace = []
if new_namespace is None:
new_namespace = []
if cur_namespace_path is None:
cur_namespace_path = []
if new_namespace_path is None:
new_namespace_path = []
raise NotImplementedError
def drop_database(self):
@@ -490,18 +489,18 @@ class DBConnection(EnforceOverrides):
"""
raise NotImplementedError
def drop_all_tables(self, namespace: Optional[List[str]] = None):
def drop_all_tables(self, namespace_path: Optional[List[str]] = None):
"""
Drop all tables from the database
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to drop all tables from.
None or empty list represents root namespace.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
raise NotImplementedError
@property
@@ -642,7 +641,7 @@ class LanceDBConnection(DBConnection):
@override
def list_namespaces(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse:
@@ -650,7 +649,7 @@ class LanceDBConnection(DBConnection):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The parent namespace to list namespaces in.
None or empty list represents root namespace.
page_token: str, optional
@@ -664,18 +663,18 @@ class LanceDBConnection(DBConnection):
ListNamespacesResponse
Response containing namespace names and optional page_token for pagination.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return LOOP.run(
self._conn.list_namespaces(
namespace=namespace, page_token=page_token, limit=limit
namespace_path=namespace_path, page_token=page_token, limit=limit
)
)
@override
def create_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse:
@@ -683,7 +682,7 @@ class LanceDBConnection(DBConnection):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to create.
mode: str, optional
Creation mode - "create" (fail if exists), "exist_ok" (skip if exists),
@@ -698,14 +697,14 @@ class LanceDBConnection(DBConnection):
"""
return LOOP.run(
self._conn.create_namespace(
namespace=namespace, mode=mode, properties=properties
namespace_path=namespace_path, mode=mode, properties=properties
)
)
@override
def drop_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse:
@@ -713,7 +712,7 @@ class LanceDBConnection(DBConnection):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to drop.
mode: str, optional
Whether to skip if not exists ("SKIP") or fail ("FAIL"). Case insensitive.
@@ -727,16 +726,20 @@ class LanceDBConnection(DBConnection):
Response containing properties and transaction_id if applicable.
"""
return LOOP.run(
self._conn.drop_namespace(namespace=namespace, mode=mode, behavior=behavior)
self._conn.drop_namespace(
namespace_path=namespace_path, mode=mode, behavior=behavior
)
)
@override
def describe_namespace(self, namespace: List[str]) -> DescribeNamespaceResponse:
def describe_namespace(
self, namespace_path: List[str]
) -> DescribeNamespaceResponse:
"""Describe a namespace.
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to describe.
Returns
@@ -744,12 +747,12 @@ class LanceDBConnection(DBConnection):
DescribeNamespaceResponse
Response containing the namespace properties.
"""
return LOOP.run(self._conn.describe_namespace(namespace=namespace))
return LOOP.run(self._conn.describe_namespace(namespace_path=namespace_path))
@override
def list_tables(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse:
@@ -757,7 +760,7 @@ class LanceDBConnection(DBConnection):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to list tables in.
None or empty list represents root namespace.
page_token: str, optional
@@ -771,11 +774,11 @@ class LanceDBConnection(DBConnection):
ListTablesResponse
Response containing table names and optional page_token for pagination.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return LOOP.run(
self._conn.list_tables(
namespace=namespace, page_token=page_token, limit=limit
namespace_path=namespace_path, page_token=page_token, limit=limit
)
)
@@ -785,7 +788,7 @@ class LanceDBConnection(DBConnection):
page_token: Optional[str] = None,
limit: int = 10,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
) -> Iterable[str]:
"""Get the names of all tables in the database. The names are sorted.
@@ -794,7 +797,7 @@ class LanceDBConnection(DBConnection):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to list tables in.
page_token: str, optional
The token to use for pagination.
@@ -813,11 +816,11 @@ class LanceDBConnection(DBConnection):
DeprecationWarning,
stacklevel=2,
)
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return LOOP.run(
self._conn.table_names(
namespace=namespace, start_after=page_token, limit=limit
namespace_path=namespace_path, start_after=page_token, limit=limit
)
)
@@ -839,9 +842,8 @@ class LanceDBConnection(DBConnection):
fill_value: float = 0.0,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
data_storage_version: Optional[str] = None,
enable_v2_manifest_paths: Optional[bool] = None,
) -> LanceTable:
@@ -849,15 +851,15 @@ class LanceDBConnection(DBConnection):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to create the table in.
See
---
DBConnection.create_table
"""
if namespace is None:
namespace = []
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)
@@ -872,9 +874,8 @@ class LanceDBConnection(DBConnection):
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
embedding_functions=embedding_functions,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
)
return tbl
@@ -883,9 +884,8 @@ class LanceDBConnection(DBConnection):
self,
name: str,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
) -> LanceTable:
"""Open a table in the database.
@@ -894,15 +894,15 @@ class LanceDBConnection(DBConnection):
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to open the table from.
Returns
-------
A LanceTable object representing the table.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
if index_cache_size is not None:
import warnings
@@ -917,9 +917,8 @@ class LanceDBConnection(DBConnection):
return LanceTable.open(
self,
name,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
index_cache_size=index_cache_size,
)
@@ -928,7 +927,7 @@ class LanceDBConnection(DBConnection):
target_table_name: str,
source_uri: str,
*,
target_namespace: Optional[List[str]] = None,
target_namespace_path: Optional[List[str]] = None,
source_version: Optional[int] = None,
source_tag: Optional[str] = None,
is_shallow: bool = True,
@@ -946,7 +945,7 @@ class LanceDBConnection(DBConnection):
The name of the target table to create.
source_uri: str
The URI of the source table to clone from.
target_namespace: List[str], optional
target_namespace_path: List[str], optional
The namespace for the target table.
None or empty list represents root namespace.
source_version: int, optional
@@ -961,13 +960,13 @@ class LanceDBConnection(DBConnection):
-------
A LanceTable object representing the cloned table.
"""
if target_namespace is None:
target_namespace = []
if target_namespace_path is None:
target_namespace_path = []
LOOP.run(
self._conn.clone_table(
target_table_name,
source_uri,
target_namespace=target_namespace,
target_namespace_path=target_namespace_path,
source_version=source_version,
source_tag=source_tag,
is_shallow=is_shallow,
@@ -976,14 +975,14 @@ class LanceDBConnection(DBConnection):
return LanceTable.open(
self,
target_table_name,
namespace=target_namespace,
namespace_path=target_namespace_path,
)
@override
def drop_table(
self,
name: str,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
ignore_missing: bool = False,
):
"""Drop a table from the database.
@@ -992,32 +991,32 @@ class LanceDBConnection(DBConnection):
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to drop the table from.
ignore_missing: bool, default False
If True, ignore if the table does not exist.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
LOOP.run(
self._conn.drop_table(
name, namespace=namespace, ignore_missing=ignore_missing
name, namespace_path=namespace_path, ignore_missing=ignore_missing
)
)
@override
def drop_all_tables(self, namespace: Optional[List[str]] = None):
if namespace is None:
namespace = []
LOOP.run(self._conn.drop_all_tables(namespace=namespace))
def drop_all_tables(self, namespace_path: Optional[List[str]] = None):
if namespace_path is None:
namespace_path = []
LOOP.run(self._conn.drop_all_tables(namespace_path=namespace_path))
@override
def rename_table(
self,
cur_name: str,
new_name: str,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
):
"""Rename a table in the database.
@@ -1027,21 +1026,21 @@ class LanceDBConnection(DBConnection):
The current name of the table.
new_name: str
The new name of the table.
cur_namespace: List[str], optional
cur_namespace_path: List[str], optional
The namespace of the current table.
new_namespace: List[str], optional
new_namespace_path: List[str], optional
The namespace to move the table to.
"""
if cur_namespace is None:
cur_namespace = []
if new_namespace is None:
new_namespace = []
if cur_namespace_path is None:
cur_namespace_path = []
if new_namespace_path is None:
new_namespace_path = []
LOOP.run(
self._conn.rename_table(
cur_name,
new_name,
cur_namespace=cur_namespace,
new_namespace=new_namespace,
cur_namespace_path=cur_namespace_path,
new_namespace_path=new_namespace_path,
)
)
@@ -1125,7 +1124,7 @@ class AsyncConnection(object):
async def list_namespaces(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse:
@@ -1133,7 +1132,7 @@ class AsyncConnection(object):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The parent namespace to list namespaces in.
None or empty list represents root namespace.
page_token: str, optional
@@ -1146,16 +1145,16 @@ class AsyncConnection(object):
ListNamespacesResponse
Response containing namespace names and optional pagination token
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
result = await self._inner.list_namespaces(
namespace=namespace, page_token=page_token, limit=limit
namespace_path=namespace_path, page_token=page_token, limit=limit
)
return ListNamespacesResponse(**result)
async def create_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse:
@@ -1163,7 +1162,7 @@ class AsyncConnection(object):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to create.
mode: str, optional
Creation mode - "create", "exist_ok", or "overwrite". Case insensitive.
@@ -1176,7 +1175,7 @@ class AsyncConnection(object):
Response containing namespace properties
"""
result = await self._inner.create_namespace(
namespace,
namespace_path,
mode=_normalize_create_namespace_mode(mode),
properties=properties,
)
@@ -1184,7 +1183,7 @@ class AsyncConnection(object):
async def drop_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse:
@@ -1192,7 +1191,7 @@ class AsyncConnection(object):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to drop.
mode: str, optional
Whether to skip if not exists ("SKIP") or fail ("FAIL"). Case insensitive.
@@ -1206,20 +1205,20 @@ class AsyncConnection(object):
Response containing properties and transaction_id if applicable.
"""
result = await self._inner.drop_namespace(
namespace,
namespace_path,
mode=_normalize_drop_namespace_mode(mode),
behavior=_normalize_drop_namespace_behavior(behavior),
)
return DropNamespaceResponse(**result)
async def describe_namespace(
self, namespace: List[str]
self, namespace_path: List[str]
) -> DescribeNamespaceResponse:
"""Describe a namespace.
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to describe.
Returns
@@ -1227,12 +1226,12 @@ class AsyncConnection(object):
DescribeNamespaceResponse
Response containing the namespace properties.
"""
result = await self._inner.describe_namespace(namespace)
result = await self._inner.describe_namespace(namespace_path)
return DescribeNamespaceResponse(**result)
async def list_tables(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse:
@@ -1240,7 +1239,7 @@ class AsyncConnection(object):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to list tables in.
None or empty list represents root namespace.
page_token: str, optional
@@ -1254,17 +1253,17 @@ class AsyncConnection(object):
ListTablesResponse
Response containing table names and optional page_token for pagination.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
result = await self._inner.list_tables(
namespace=namespace, page_token=page_token, limit=limit
namespace_path=namespace_path, page_token=page_token, limit=limit
)
return ListTablesResponse(**result)
async def table_names(
self,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
start_after: Optional[str] = None,
limit: Optional[int] = None,
) -> Iterable[str]:
@@ -1275,7 +1274,7 @@ class AsyncConnection(object):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to list tables in.
None or empty list represents root namespace.
start_after: str, optional
@@ -1298,10 +1297,10 @@ class AsyncConnection(object):
DeprecationWarning,
stacklevel=2,
)
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return await self._inner.table_names(
namespace=namespace, start_after=start_after, limit=limit
namespace_path=namespace_path, start_after=start_after, limit=limit
)
async def create_table(
@@ -1314,9 +1313,8 @@ class AsyncConnection(object):
on_bad_vectors: Optional[str] = None,
fill_value: Optional[float] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
location: Optional[str] = None,
) -> AsyncTable:
@@ -1326,7 +1324,7 @@ class AsyncConnection(object):
----------
name: str
The name of the table.
namespace: List[str], default []
namespace_path: List[str], default []
The namespace to create the table in.
Empty list represents root namespace.
data: The data to initialize the table, *optional*
@@ -1477,8 +1475,8 @@ class AsyncConnection(object):
... await db.create_table("table4", make_batches(), schema=schema)
>>> asyncio.run(iterable_example())
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
metadata = None
if embedding_functions is not None:
@@ -1513,9 +1511,8 @@ class AsyncConnection(object):
name,
mode,
schema,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
location=location,
)
else:
@@ -1524,9 +1521,8 @@ class AsyncConnection(object):
name,
mode,
data,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
location=location,
)
@@ -1536,9 +1532,8 @@ class AsyncConnection(object):
self,
name: str,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
@@ -1550,7 +1545,7 @@ class AsyncConnection(object):
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to open the table from.
None or empty list represents root namespace.
storage_options: dict, optional
@@ -1583,13 +1578,12 @@ class AsyncConnection(object):
-------
A LanceTable object representing the table.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
table = await self._inner.open_table(
name,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
index_cache_size=index_cache_size,
location=location,
namespace_client=namespace_client,
@@ -1602,7 +1596,7 @@ class AsyncConnection(object):
target_table_name: str,
source_uri: str,
*,
target_namespace: Optional[List[str]] = None,
target_namespace_path: Optional[List[str]] = None,
source_version: Optional[int] = None,
source_tag: Optional[str] = None,
is_shallow: bool = True,
@@ -1620,7 +1614,7 @@ class AsyncConnection(object):
The name of the target table to create.
source_uri: str
The URI of the source table to clone from.
target_namespace: List[str], optional
target_namespace_path: List[str], optional
The namespace for the target table.
None or empty list represents root namespace.
source_version: int, optional
@@ -1635,12 +1629,12 @@ class AsyncConnection(object):
-------
An AsyncTable object representing the cloned table.
"""
if target_namespace is None:
target_namespace = []
if target_namespace_path is None:
target_namespace_path = []
table = await self._inner.clone_table(
target_table_name,
source_uri,
target_namespace=target_namespace,
target_namespace_path=target_namespace_path,
source_version=source_version,
source_tag=source_tag,
is_shallow=is_shallow,
@@ -1651,8 +1645,8 @@ class AsyncConnection(object):
self,
cur_name: str,
new_name: str,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
):
"""Rename a table in the database.
@@ -1662,26 +1656,29 @@ class AsyncConnection(object):
The current name of the table.
new_name: str
The new name of the table.
cur_namespace: List[str], optional
cur_namespace_path: List[str], optional
The namespace of the current table.
None or empty list represents root namespace.
new_namespace: List[str], optional
new_namespace_path: List[str], optional
The namespace to move the table to.
If not specified, defaults to the same as cur_namespace.
"""
if cur_namespace is None:
cur_namespace = []
if new_namespace is None:
new_namespace = []
if cur_namespace_path is None:
cur_namespace_path = []
if new_namespace_path is None:
new_namespace_path = []
await self._inner.rename_table(
cur_name, new_name, cur_namespace=cur_namespace, new_namespace=new_namespace
cur_name,
new_name,
cur_namespace_path=cur_namespace_path,
new_namespace_path=new_namespace_path,
)
async def drop_table(
self,
name: str,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
ignore_missing: bool = False,
):
"""Drop a table from the database.
@@ -1690,34 +1687,34 @@ class AsyncConnection(object):
----------
name: str
The name of the table.
namespace: List[str], default []
namespace_path: List[str], default []
The namespace to drop the table from.
Empty list represents root namespace.
ignore_missing: bool, default False
If True, ignore if the table does not exist.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
try:
await self._inner.drop_table(name, namespace=namespace)
await self._inner.drop_table(name, namespace_path=namespace_path)
except ValueError as e:
if not ignore_missing:
raise e
if f"Table '{name}' was not found" not in str(e):
raise e
async def drop_all_tables(self, namespace: Optional[List[str]] = None):
async def drop_all_tables(self, namespace_path: Optional[List[str]] = None):
"""Drop all tables from the database.
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to drop all tables from.
None or empty list represents root namespace.
"""
if namespace is None:
namespace = []
await self._inner.drop_all_tables(namespace=namespace)
if namespace_path is None:
namespace_path = []
await self._inner.drop_all_tables(namespace_path=namespace_path)
@deprecation.deprecated(
deprecated_in="0.15.1",

View File

@@ -10,6 +10,7 @@ import sys
import threading
import time
import urllib.error
import urllib.request
import weakref
import logging
from functools import wraps

View File

@@ -0,0 +1,298 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""Type-safe expression builder for filters and projections.
Instead of writing raw SQL strings you can build expressions with Python
operators::
from lancedb.expr import col, lit
# filter: age > 18 AND status = 'active'
filt = (col("age") > lit(18)) & (col("status") == lit("active"))
# projection: compute a derived column
proj = {"score": col("raw_score") * lit(1.5)}
table.search().where(filt).select(proj).to_list()
"""
from __future__ import annotations
from typing import Union
import pyarrow as pa
from lancedb._lancedb import PyExpr, expr_col, expr_lit, expr_func
__all__ = ["Expr", "col", "lit", "func"]
_STR_TO_PA_TYPE: dict = {
"bool": pa.bool_(),
"boolean": pa.bool_(),
"int8": pa.int8(),
"int16": pa.int16(),
"int32": pa.int32(),
"int64": pa.int64(),
"uint8": pa.uint8(),
"uint16": pa.uint16(),
"uint32": pa.uint32(),
"uint64": pa.uint64(),
"float16": pa.float16(),
"float32": pa.float32(),
"float": pa.float32(),
"float64": pa.float64(),
"double": pa.float64(),
"string": pa.string(),
"utf8": pa.string(),
"str": pa.string(),
"large_string": pa.large_utf8(),
"large_utf8": pa.large_utf8(),
"date32": pa.date32(),
"date": pa.date32(),
"date64": pa.date64(),
}
def _coerce(value: "ExprLike") -> "Expr":
"""Return *value* as an :class:`Expr`, wrapping plain Python values via
:func:`lit` if needed."""
if isinstance(value, Expr):
return value
return lit(value)
# Type alias used in annotations.
ExprLike = Union["Expr", bool, int, float, str]
class Expr:
"""A type-safe expression node.
Construct instances with :func:`col` and :func:`lit`, then combine them
using Python operators or the named methods below.
Examples
--------
>>> from lancedb.expr import col, lit
>>> filt = (col("age") > lit(18)) & (col("name").lower() == lit("alice"))
>>> proj = {"double": col("x") * lit(2)}
"""
# Make Expr unhashable so that == returns an Expr rather than being used
# for dict keys / set membership.
__hash__ = None # type: ignore[assignment]
def __init__(self, inner: PyExpr) -> None:
self._inner = inner
# ── comparisons ──────────────────────────────────────────────────────────
def __eq__(self, other: ExprLike) -> "Expr": # type: ignore[override]
"""Equal to (``col("x") == 1``)."""
return Expr(self._inner.eq(_coerce(other)._inner))
def __ne__(self, other: ExprLike) -> "Expr": # type: ignore[override]
"""Not equal to (``col("x") != 1``)."""
return Expr(self._inner.ne(_coerce(other)._inner))
def __lt__(self, other: ExprLike) -> "Expr":
"""Less than (``col("x") < 1``)."""
return Expr(self._inner.lt(_coerce(other)._inner))
def __le__(self, other: ExprLike) -> "Expr":
"""Less than or equal to (``col("x") <= 1``)."""
return Expr(self._inner.lte(_coerce(other)._inner))
def __gt__(self, other: ExprLike) -> "Expr":
"""Greater than (``col("x") > 1``)."""
return Expr(self._inner.gt(_coerce(other)._inner))
def __ge__(self, other: ExprLike) -> "Expr":
"""Greater than or equal to (``col("x") >= 1``)."""
return Expr(self._inner.gte(_coerce(other)._inner))
# ── logical ──────────────────────────────────────────────────────────────
def __and__(self, other: "Expr") -> "Expr":
"""Logical AND (``expr_a & expr_b``)."""
return Expr(self._inner.and_(_coerce(other)._inner))
def __or__(self, other: "Expr") -> "Expr":
"""Logical OR (``expr_a | expr_b``)."""
return Expr(self._inner.or_(_coerce(other)._inner))
def __invert__(self) -> "Expr":
"""Logical NOT (``~expr``)."""
return Expr(self._inner.not_())
# ── arithmetic ───────────────────────────────────────────────────────────
def __add__(self, other: ExprLike) -> "Expr":
"""Add (``col("x") + 1``)."""
return Expr(self._inner.add(_coerce(other)._inner))
def __radd__(self, other: ExprLike) -> "Expr":
"""Right-hand add (``1 + col("x")``)."""
return Expr(_coerce(other)._inner.add(self._inner))
def __sub__(self, other: ExprLike) -> "Expr":
"""Subtract (``col("x") - 1``)."""
return Expr(self._inner.sub(_coerce(other)._inner))
def __rsub__(self, other: ExprLike) -> "Expr":
"""Right-hand subtract (``1 - col("x")``)."""
return Expr(_coerce(other)._inner.sub(self._inner))
def __mul__(self, other: ExprLike) -> "Expr":
"""Multiply (``col("x") * 2``)."""
return Expr(self._inner.mul(_coerce(other)._inner))
def __rmul__(self, other: ExprLike) -> "Expr":
"""Right-hand multiply (``2 * col("x")``)."""
return Expr(_coerce(other)._inner.mul(self._inner))
def __truediv__(self, other: ExprLike) -> "Expr":
"""Divide (``col("x") / 2``)."""
return Expr(self._inner.div(_coerce(other)._inner))
def __rtruediv__(self, other: ExprLike) -> "Expr":
"""Right-hand divide (``1 / col("x")``)."""
return Expr(_coerce(other)._inner.div(self._inner))
# ── string methods ───────────────────────────────────────────────────────
def lower(self) -> "Expr":
"""Convert string column values to lowercase."""
return Expr(self._inner.lower())
def upper(self) -> "Expr":
"""Convert string column values to uppercase."""
return Expr(self._inner.upper())
def contains(self, substr: "ExprLike") -> "Expr":
"""Return True where the string contains *substr*."""
return Expr(self._inner.contains(_coerce(substr)._inner))
# ── type cast ────────────────────────────────────────────────────────────
def cast(self, data_type: Union[str, "pa.DataType"]) -> "Expr":
"""Cast values to *data_type*.
Parameters
----------
data_type:
A PyArrow ``DataType`` (e.g. ``pa.int32()``) or one of the type
name strings: ``"bool"``, ``"int8"``, ``"int16"``, ``"int32"``,
``"int64"``, ``"uint8"````"uint64"``, ``"float32"``,
``"float64"``, ``"string"``, ``"date32"``, ``"date64"``.
"""
if isinstance(data_type, str):
try:
data_type = _STR_TO_PA_TYPE[data_type]
except KeyError:
raise ValueError(
f"unsupported data type: '{data_type}'. Supported: "
f"{', '.join(_STR_TO_PA_TYPE)}"
)
return Expr(self._inner.cast(data_type))
# ── named comparison helpers (alternative to operators) ──────────────────
def eq(self, other: ExprLike) -> "Expr":
"""Equal to."""
return self.__eq__(other)
def ne(self, other: ExprLike) -> "Expr":
"""Not equal to."""
return self.__ne__(other)
def lt(self, other: ExprLike) -> "Expr":
"""Less than."""
return self.__lt__(other)
def lte(self, other: ExprLike) -> "Expr":
"""Less than or equal to."""
return self.__le__(other)
def gt(self, other: ExprLike) -> "Expr":
"""Greater than."""
return self.__gt__(other)
def gte(self, other: ExprLike) -> "Expr":
"""Greater than or equal to."""
return self.__ge__(other)
def and_(self, other: "Expr") -> "Expr":
"""Logical AND."""
return self.__and__(other)
def or_(self, other: "Expr") -> "Expr":
"""Logical OR."""
return self.__or__(other)
# ── utilities ────────────────────────────────────────────────────────────
def to_sql(self) -> str:
"""Render the expression as a SQL string (useful for debugging)."""
return self._inner.to_sql()
def __repr__(self) -> str:
return f"Expr({self._inner.to_sql()})"
# ── free functions ────────────────────────────────────────────────────────────
def col(name: str) -> Expr:
"""Reference a table column by name.
Parameters
----------
name:
The column name.
Examples
--------
>>> from lancedb.expr import col, lit
>>> col("age") > lit(18)
Expr((age > 18))
"""
return Expr(expr_col(name))
def lit(value: Union[bool, int, float, str]) -> Expr:
"""Create a literal (constant) value expression.
Parameters
----------
value:
A Python ``bool``, ``int``, ``float``, or ``str``.
Examples
--------
>>> from lancedb.expr import col, lit
>>> col("price") * lit(1.1)
Expr((price * 1.1))
"""
return Expr(expr_lit(value))
def func(name: str, *args: ExprLike) -> Expr:
"""Call an arbitrary SQL function by name.
Parameters
----------
name:
The SQL function name (e.g. ``"lower"``, ``"upper"``).
*args:
The function arguments as :class:`Expr` or plain Python literals.
Examples
--------
>>> from lancedb.expr import col, func
>>> func("lower", col("name"))
Expr(lower(name))
"""
inner_args = [_coerce(a)._inner for a in args]
return Expr(expr_func(name, inner_args))

View File

@@ -2,70 +2,3 @@
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""I/O utilities and interfaces for LanceDB."""
from abc import ABC, abstractmethod
from typing import Dict
class StorageOptionsProvider(ABC):
"""Abstract base class for providing storage options to LanceDB tables.
Storage options providers enable automatic credential refresh for cloud
storage backends (e.g., AWS S3, Azure Blob Storage, GCS). When credentials
have an expiration time, the provider's fetch_storage_options() method will
be called periodically to get fresh credentials before they expire.
Example
-------
>>> class MyProvider(StorageOptionsProvider):
... def fetch_storage_options(self) -> Dict[str, str]:
... # Fetch fresh credentials from your credential manager
... return {
... "aws_access_key_id": "...",
... "aws_secret_access_key": "...",
... "expires_at_millis": "1234567890000" # Optional
... }
"""
@abstractmethod
def fetch_storage_options(self) -> Dict[str, str]:
"""Fetch fresh storage credentials.
This method is called by LanceDB when credentials need to be refreshed.
If the returned dictionary contains an "expires_at_millis" key with a
Unix timestamp in milliseconds, LanceDB will automatically refresh the
credentials before that time. If the key is not present, credentials
are assumed to not expire.
Returns
-------
Dict[str, str]
Dictionary containing cloud storage credentials and optionally an
expiration time:
- "expires_at_millis" (optional): Unix timestamp in milliseconds when
credentials expire
- Provider-specific credential keys (e.g., aws_access_key_id,
aws_secret_access_key, etc.)
Raises
------
RuntimeError
If credentials cannot be fetched or are invalid
"""
pass
def provider_id(self) -> str:
"""Return a human-readable unique identifier for this provider instance.
This identifier is used for caching and equality comparison. Two providers
with the same ID will share the same cached object store connection.
The default implementation uses the class name and string representation.
Override this method if you need custom identification logic.
Returns
-------
str
A unique identifier for this provider instance
"""
return f"{self.__class__.__name__} {{ repr: {str(self)!r} }}"

File diff suppressed because it is too large Load Diff

View File

@@ -38,6 +38,7 @@ from .rerankers.base import Reranker
from .rerankers.rrf import RRFReranker
from .rerankers.util import check_reranker_result
from .util import flatten_columns
from .expr import Expr
from lancedb._lancedb import fts_query_to_json
from typing_extensions import Annotated
@@ -70,7 +71,7 @@ def ensure_vector_query(
) -> Union[List[float], List[List[float]], pa.Array, List[pa.Array]]:
if isinstance(val, list):
if len(val) == 0:
return ValueError("Vector query must be a non-empty list")
raise ValueError("Vector query must be a non-empty list")
sample = val[0]
else:
if isinstance(val, float):
@@ -83,7 +84,7 @@ def ensure_vector_query(
return val
if isinstance(sample, list):
if len(sample) == 0:
return ValueError("Vector query must be a non-empty list")
raise ValueError("Vector query must be a non-empty list")
if isinstance(sample[0], float):
# val is list of list of floats
return val
@@ -449,8 +450,8 @@ class Query(pydantic.BaseModel):
ensure_vector_query,
] = None
# sql filter to refine the query with
filter: Optional[str] = None
# sql filter or type-safe Expr to refine the query with
filter: Optional[Union[str, Expr]] = None
# if True then apply the filter after vector search
postfilter: Optional[bool] = None
@@ -464,8 +465,8 @@ class Query(pydantic.BaseModel):
# distance type to use for vector search
distance_type: Optional[str] = None
# which columns to return in the results
columns: Optional[Union[List[str], Dict[str, str]]] = None
# which columns to return in the results (dict values may be str or Expr)
columns: Optional[Union[List[str], Dict[str, Union[str, Expr]]]] = None
# minimum number of IVF partitions to search
#
@@ -856,14 +857,15 @@ class LanceQueryBuilder(ABC):
self._offset = offset
return self
def select(self, columns: Union[list[str], dict[str, str]]) -> Self:
def select(self, columns: Union[list[str], dict[str, Union[str, Expr]]]) -> Self:
"""Set the columns to return.
Parameters
----------
columns: list of str, or dict of str to str default None
columns: list of str, or dict of str to str or Expr
List of column names to be fetched.
Or a dictionary of column names to SQL expressions.
Or a dictionary of column names to SQL expressions or
:class:`~lancedb.expr.Expr` objects.
All columns are fetched if None or unspecified.
Returns
@@ -877,15 +879,15 @@ class LanceQueryBuilder(ABC):
raise ValueError("columns must be a list or a dictionary")
return self
def where(self, where: str, prefilter: bool = True) -> Self:
def where(self, where: Union[str, Expr], prefilter: bool = True) -> Self:
"""Set the where clause.
Parameters
----------
where: str
The where clause which is a valid SQL where clause. See
`Lance filter pushdown <https://lance.org/guide/read_and_write#filter-push-down>`_
for valid SQL expressions.
where: str or :class:`~lancedb.expr.Expr`
The filter condition. Can be a SQL string or a type-safe
:class:`~lancedb.expr.Expr` built with :func:`~lancedb.expr.col`
and :func:`~lancedb.expr.lit`.
prefilter: bool, default True
If True, apply the filter before vector search, otherwise the
filter is applied on the result of vector search.
@@ -1355,15 +1357,17 @@ class LanceVectorQueryBuilder(LanceQueryBuilder):
return result_set
def where(self, where: str, prefilter: bool = None) -> LanceVectorQueryBuilder:
def where(
self, where: Union[str, Expr], prefilter: bool = None
) -> LanceVectorQueryBuilder:
"""Set the where clause.
Parameters
----------
where: str
The where clause which is a valid SQL where clause. See
`Lance filter pushdown <https://lance.org/guide/read_and_write#filter-push-down>`_
for valid SQL expressions.
where: str or :class:`~lancedb.expr.Expr`
The filter condition. Can be a SQL string or a type-safe
:class:`~lancedb.expr.Expr` built with :func:`~lancedb.expr.col`
and :func:`~lancedb.expr.lit`.
prefilter: bool, default True
If True, apply the filter before vector search, otherwise the
filter is applied on the result of vector search.
@@ -2205,8 +2209,8 @@ class LanceHybridQueryBuilder(LanceQueryBuilder):
self._vector_query.select(self._columns)
self._fts_query.select(self._columns)
if self._where:
self._vector_query.where(self._where, self._postfilter)
self._fts_query.where(self._where, self._postfilter)
self._vector_query.where(self._where, not self._postfilter)
self._fts_query.where(self._where, not self._postfilter)
if self._with_row_id:
self._vector_query.with_row_id(True)
self._fts_query.with_row_id(True)
@@ -2286,10 +2290,20 @@ class AsyncQueryBase(object):
"""
if isinstance(columns, list) and all(isinstance(c, str) for c in columns):
self._inner.select_columns(columns)
elif isinstance(columns, dict) and all(
isinstance(k, str) and isinstance(v, str) for k, v in columns.items()
):
self._inner.select(list(columns.items()))
elif isinstance(columns, dict) and all(isinstance(k, str) for k in columns):
if any(isinstance(v, Expr) for v in columns.values()):
# At least one value is an Expr — use the type-safe path.
from .expr import _coerce
pairs = [(k, _coerce(v)._inner) for k, v in columns.items()]
self._inner.select_expr(pairs)
elif all(isinstance(v, str) for v in columns.values()):
self._inner.select(list(columns.items()))
else:
raise TypeError(
"dict values must be str or Expr, got "
+ str({k: type(v) for k, v in columns.items()})
)
else:
raise TypeError("columns must be a list of column names or a dict")
return self
@@ -2529,11 +2543,13 @@ class AsyncStandardQuery(AsyncQueryBase):
"""
super().__init__(inner)
def where(self, predicate: str) -> Self:
def where(self, predicate: Union[str, Expr]) -> Self:
"""
Only return rows matching the given predicate
The predicate should be supplied as an SQL query string.
The predicate can be a SQL string or a type-safe
:class:`~lancedb.expr.Expr` built with :func:`~lancedb.expr.col`
and :func:`~lancedb.expr.lit`.
Examples
--------
@@ -2545,7 +2561,10 @@ class AsyncStandardQuery(AsyncQueryBase):
Filtering performance can often be improved by creating a scalar index
on the filter column(s).
"""
self._inner.where(predicate)
if isinstance(predicate, Expr):
self._inner.where_expr(predicate._inner)
else:
self._inner.where(predicate)
return self
def limit(self, limit: int) -> Self:

View File

@@ -111,7 +111,7 @@ class RemoteDBConnection(DBConnection):
@override
def list_namespaces(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListNamespacesResponse:
@@ -119,7 +119,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The parent namespace to list namespaces in.
None or empty list represents root namespace.
page_token: str, optional
@@ -133,18 +133,18 @@ class RemoteDBConnection(DBConnection):
ListNamespacesResponse
Response containing namespace names and optional page_token for pagination.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return LOOP.run(
self._conn.list_namespaces(
namespace=namespace, page_token=page_token, limit=limit
namespace_path=namespace_path, page_token=page_token, limit=limit
)
)
@override
def create_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
properties: Optional[Dict[str, str]] = None,
) -> CreateNamespaceResponse:
@@ -152,7 +152,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to create.
mode: str, optional
Creation mode - "create" (fail if exists), "exist_ok" (skip if exists),
@@ -167,14 +167,14 @@ class RemoteDBConnection(DBConnection):
"""
return LOOP.run(
self._conn.create_namespace(
namespace=namespace, mode=mode, properties=properties
namespace_path=namespace_path, mode=mode, properties=properties
)
)
@override
def drop_namespace(
self,
namespace: List[str],
namespace_path: List[str],
mode: Optional[str] = None,
behavior: Optional[str] = None,
) -> DropNamespaceResponse:
@@ -182,7 +182,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to drop.
mode: str, optional
Whether to skip if not exists ("SKIP") or fail ("FAIL"). Case insensitive.
@@ -196,16 +196,20 @@ class RemoteDBConnection(DBConnection):
Response containing properties and transaction_id if applicable.
"""
return LOOP.run(
self._conn.drop_namespace(namespace=namespace, mode=mode, behavior=behavior)
self._conn.drop_namespace(
namespace_path=namespace_path, mode=mode, behavior=behavior
)
)
@override
def describe_namespace(self, namespace: List[str]) -> DescribeNamespaceResponse:
def describe_namespace(
self, namespace_path: List[str]
) -> DescribeNamespaceResponse:
"""Describe a namespace.
Parameters
----------
namespace: List[str]
namespace_path: List[str]
The namespace identifier to describe.
Returns
@@ -213,12 +217,12 @@ class RemoteDBConnection(DBConnection):
DescribeNamespaceResponse
Response containing the namespace properties.
"""
return LOOP.run(self._conn.describe_namespace(namespace=namespace))
return LOOP.run(self._conn.describe_namespace(namespace_path=namespace_path))
@override
def list_tables(
self,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
page_token: Optional[str] = None,
limit: Optional[int] = None,
) -> ListTablesResponse:
@@ -226,7 +230,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to list tables in.
None or empty list represents root namespace.
page_token: str, optional
@@ -240,11 +244,11 @@ class RemoteDBConnection(DBConnection):
ListTablesResponse
Response containing table names and optional page_token for pagination.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return LOOP.run(
self._conn.list_tables(
namespace=namespace, page_token=page_token, limit=limit
namespace_path=namespace_path, page_token=page_token, limit=limit
)
)
@@ -254,7 +258,7 @@ class RemoteDBConnection(DBConnection):
page_token: Optional[str] = None,
limit: int = 10,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
) -> Iterable[str]:
"""List the names of all tables in the database.
@@ -263,7 +267,7 @@ class RemoteDBConnection(DBConnection):
Parameters
----------
namespace: List[str], default []
namespace_path: List[str], default []
The namespace to list tables in.
Empty list represents root namespace.
page_token: str
@@ -282,11 +286,11 @@ class RemoteDBConnection(DBConnection):
DeprecationWarning,
stacklevel=2,
)
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
return LOOP.run(
self._conn.table_names(
namespace=namespace, start_after=page_token, limit=limit
namespace_path=namespace_path, start_after=page_token, limit=limit
)
)
@@ -295,7 +299,7 @@ class RemoteDBConnection(DBConnection):
self,
name: str,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
index_cache_size: Optional[int] = None,
) -> Table:
@@ -305,7 +309,7 @@ class RemoteDBConnection(DBConnection):
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to open the table from.
None or empty list represents root namespace.
@@ -315,15 +319,15 @@ class RemoteDBConnection(DBConnection):
"""
from .table import RemoteTable
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
if index_cache_size is not None:
logging.info(
"index_cache_size is ignored in LanceDb Cloud"
" (there is no local cache to configure)"
)
table = LOOP.run(self._conn.open_table(name, namespace=namespace))
table = LOOP.run(self._conn.open_table(name, namespace_path=namespace_path))
return RemoteTable(table, self.db_name)
def clone_table(
@@ -331,7 +335,7 @@ class RemoteDBConnection(DBConnection):
target_table_name: str,
source_uri: str,
*,
target_namespace: Optional[List[str]] = None,
target_namespace_path: Optional[List[str]] = None,
source_version: Optional[int] = None,
source_tag: Optional[str] = None,
is_shallow: bool = True,
@@ -344,7 +348,7 @@ class RemoteDBConnection(DBConnection):
The name of the target table to create.
source_uri: str
The URI of the source table to clone from.
target_namespace: List[str], optional
target_namespace_path: List[str], optional
The namespace for the target table.
None or empty list represents root namespace.
source_version: int, optional
@@ -361,13 +365,13 @@ class RemoteDBConnection(DBConnection):
"""
from .table import RemoteTable
if target_namespace is None:
target_namespace = []
if target_namespace_path is None:
target_namespace_path = []
table = LOOP.run(
self._conn.clone_table(
target_table_name,
source_uri,
target_namespace=target_namespace,
target_namespace_path=target_namespace_path,
source_version=source_version,
source_tag=source_tag,
is_shallow=is_shallow,
@@ -387,7 +391,7 @@ class RemoteDBConnection(DBConnection):
exist_ok: bool = False,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
) -> Table:
"""Create a [Table][lancedb.table.Table] in the database.
@@ -395,7 +399,7 @@ class RemoteDBConnection(DBConnection):
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to create the table in.
None or empty list represents root namespace.
data: The data to initialize the table, *optional*
@@ -495,8 +499,8 @@ class RemoteDBConnection(DBConnection):
mode = "exist_ok"
elif not mode:
mode = "exist_ok"
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
validate_table_name(name)
if embedding_functions is not None:
logging.warning(
@@ -511,7 +515,7 @@ class RemoteDBConnection(DBConnection):
self._conn.create_table(
name,
data,
namespace=namespace,
namespace_path=namespace_path,
mode=mode,
schema=schema,
on_bad_vectors=on_bad_vectors,
@@ -521,28 +525,28 @@ class RemoteDBConnection(DBConnection):
return RemoteTable(table, self.db_name)
@override
def drop_table(self, name: str, namespace: Optional[List[str]] = None):
def drop_table(self, name: str, namespace_path: Optional[List[str]] = None):
"""Drop a table from the database.
Parameters
----------
name: str
The name of the table.
namespace: List[str], optional
namespace_path: List[str], optional
The namespace to drop the table from.
None or empty list represents root namespace.
"""
if namespace is None:
namespace = []
LOOP.run(self._conn.drop_table(name, namespace=namespace))
if namespace_path is None:
namespace_path = []
LOOP.run(self._conn.drop_table(name, namespace_path=namespace_path))
@override
def rename_table(
self,
cur_name: str,
new_name: str,
cur_namespace: Optional[List[str]] = None,
new_namespace: Optional[List[str]] = None,
cur_namespace_path: Optional[List[str]] = None,
new_namespace_path: Optional[List[str]] = None,
):
"""Rename a table in the database.
@@ -553,19 +557,19 @@ class RemoteDBConnection(DBConnection):
new_name: str
The new name of the table.
"""
if cur_namespace is None:
cur_namespace = []
if new_namespace is None:
new_namespace = []
if cur_namespace_path is None:
cur_namespace_path = []
if new_namespace_path is None:
new_namespace_path = []
LOOP.run(
self._conn.rename_table(
cur_name,
new_name,
cur_namespace=cur_namespace,
new_namespace=new_namespace,
cur_namespace_path=cur_namespace_path,
new_namespace_path=new_namespace_path,
)
)
async def close(self):
"""Close the connection to the database."""
self._client.close()
self._conn.close()

View File

@@ -4,7 +4,7 @@
from datetime import timedelta
import logging
from functools import cached_property
from typing import Dict, Iterable, List, Optional, Union, Literal
from typing import Any, Callable, Dict, Iterable, List, Optional, Union, Literal
import warnings
from lancedb._lancedb import (
@@ -35,6 +35,7 @@ import pyarrow as pa
from lancedb.common import DATA, VEC, VECTOR_COLUMN_NAME
from lancedb.merge import LanceMergeInsertBuilder
from lancedb.embeddings import EmbeddingFunctionRegistry
from lancedb.table import _normalize_progress
from ..query import LanceVectorQueryBuilder, LanceQueryBuilder, LanceTakeQueryBuilder
from ..table import AsyncTable, IndexStatistics, Query, Table, Tags
@@ -308,6 +309,7 @@ class RemoteTable(Table):
mode: str = "append",
on_bad_vectors: str = "error",
fill_value: float = 0.0,
progress: Optional[Union[bool, Callable, Any]] = None,
) -> AddResult:
"""Add more data to the [Table](Table). It has the same API signature as
the OSS version.
@@ -330,17 +332,29 @@ class RemoteTable(Table):
One of "error", "drop", "fill".
fill_value: float, default 0.
The value to use when filling vectors. Only used if on_bad_vectors="fill".
progress: bool, callable, or tqdm-like, optional
A callback or tqdm-compatible progress bar. See
:meth:`Table.add` for details.
Returns
-------
AddResult
An object containing the new version number of the table after adding data.
"""
return LOOP.run(
self._table.add(
data, mode=mode, on_bad_vectors=on_bad_vectors, fill_value=fill_value
progress, owns = _normalize_progress(progress)
try:
return LOOP.run(
self._table.add(
data,
mode=mode,
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
progress=progress,
)
)
)
finally:
if owns:
progress.close()
def search(
self,

View File

@@ -14,6 +14,7 @@ from functools import cached_property
from typing import (
TYPE_CHECKING,
Any,
Callable,
Dict,
Iterable,
List,
@@ -88,7 +89,6 @@ from .index import lang_mapping
if TYPE_CHECKING:
from .db import LanceDBConnection
from .io import StorageOptionsProvider
from ._lancedb import (
Table as LanceDBTable,
OptimizeStats,
@@ -277,7 +277,7 @@ def _sanitize_data(
if metadata:
new_metadata = target_schema.metadata or {}
new_metadata = new_metadata.update(metadata)
new_metadata.update(metadata)
target_schema = target_schema.with_metadata(new_metadata)
_validate_schema(target_schema)
@@ -556,6 +556,21 @@ def _table_uri(base: str, table_name: str) -> str:
return join_uri(base, f"{table_name}.lance")
def _normalize_progress(progress):
"""Normalize a ``progress`` parameter for :meth:`Table.add`.
Returns ``(progress_obj, owns)`` where *owns* is True when we created a
tqdm bar that the caller must close.
"""
if progress is True:
from tqdm.auto import tqdm
return tqdm(unit=" rows"), True
if progress is False or progress is None:
return None, False
return progress, False
class Table(ABC):
"""
A Table is a collection of Records in a LanceDB Database.
@@ -974,6 +989,7 @@ class Table(ABC):
mode: AddMode = "append",
on_bad_vectors: OnBadVectorsType = "error",
fill_value: float = 0.0,
progress: Optional[Union[bool, Callable, Any]] = None,
) -> AddResult:
"""Add more data to the [Table](Table).
@@ -995,6 +1011,29 @@ class Table(ABC):
One of "error", "drop", "fill".
fill_value: float, default 0.
The value to use when filling vectors. Only used if on_bad_vectors="fill".
progress: bool, callable, or tqdm-like, optional
Progress reporting during the add operation. Can be:
- ``True`` to automatically create and display a tqdm progress
bar (requires ``tqdm`` to be installed)::
table.add(data, progress=True)
- A **callable** that receives a dict with keys ``output_rows``,
``output_bytes``, ``total_rows``, ``elapsed_seconds``,
``active_tasks``, ``total_tasks``, and ``done``::
def on_progress(p):
print(f"{p['output_rows']}/{p['total_rows']} rows, "
f"{p['active_tasks']}/{p['total_tasks']} workers")
table.add(data, progress=on_progress)
- A **tqdm-compatible** progress bar whose ``total`` and
``update()`` will be called automatically. The postfix shows
write throughput (MB/s) and active worker count::
with tqdm() as pbar:
table.add(data, progress=pbar)
Returns
-------
@@ -1736,30 +1775,30 @@ class LanceTable(Table):
connection: "LanceDBConnection",
name: str,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
managed_versioning: Optional[bool] = None,
pushdown_operations: Optional[set] = None,
_async: AsyncTable = None,
):
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
self._conn = connection
self._namespace = namespace
self._namespace_path = namespace_path
self._location = location # Store location for use in _dataset_path
self._namespace_client = namespace_client
self._pushdown_operations = pushdown_operations or set()
if _async is not None:
self._table = _async
else:
self._table = LOOP.run(
connection._conn.open_table(
name,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
index_cache_size=index_cache_size,
location=location,
namespace_client=namespace_client,
@@ -1774,13 +1813,13 @@ class LanceTable(Table):
@property
def namespace(self) -> List[str]:
"""Return the namespace path of the table."""
return self._namespace
return self._namespace_path
@property
def id(self) -> str:
"""Return the full identifier of the table (namespace$name)."""
if self._namespace:
return "$".join(self._namespace + [self.name])
if self._namespace_path:
return "$".join(self._namespace_path + [self.name])
return self.name
@classmethod
@@ -1801,26 +1840,26 @@ class LanceTable(Table):
db,
name,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
index_cache_size: Optional[int] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
managed_versioning: Optional[bool] = None,
pushdown_operations: Optional[set] = None,
):
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
tbl = cls(
db,
name,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
index_cache_size=index_cache_size,
location=location,
namespace_client=namespace_client,
managed_versioning=managed_versioning,
pushdown_operations=pushdown_operations,
)
# check the dataset exists
@@ -1853,11 +1892,11 @@ class LanceTable(Table):
)
if self._namespace_client is not None:
table_id = self._namespace + [self.name]
table_id = self._namespace_path + [self.name]
return lance.dataset(
version=self.version,
storage_options=self._conn.storage_options,
namespace=self._namespace_client,
namespace_client=self._namespace_client,
table_id=table_id,
**kwargs,
)
@@ -2492,6 +2531,7 @@ class LanceTable(Table):
mode: AddMode = "append",
on_bad_vectors: OnBadVectorsType = "error",
fill_value: float = 0.0,
progress: Optional[Union[bool, Callable, Any]] = None,
) -> AddResult:
"""Add data to the table.
If vector columns are missing and the table
@@ -2510,17 +2550,29 @@ class LanceTable(Table):
One of "error", "drop", "fill", "null".
fill_value: float, default 0.
The value to use when filling vectors. Only used if on_bad_vectors="fill".
progress: bool, callable, or tqdm-like, optional
A callback or tqdm-compatible progress bar. See
:meth:`Table.add` for details.
Returns
-------
int
The number of vectors in the table.
"""
return LOOP.run(
self._table.add(
data, mode=mode, on_bad_vectors=on_bad_vectors, fill_value=fill_value
progress, owns = _normalize_progress(progress)
try:
return LOOP.run(
self._table.add(
data,
mode=mode,
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
progress=progress,
)
)
)
finally:
if owns:
progress.close()
def merge(
self,
@@ -2750,13 +2802,13 @@ class LanceTable(Table):
fill_value: float = 0.0,
embedding_functions: Optional[List[EmbeddingFunctionConfig]] = None,
*,
namespace: Optional[List[str]] = None,
namespace_path: Optional[List[str]] = None,
storage_options: Optional[Dict[str, str | bool]] = None,
storage_options_provider: Optional["StorageOptionsProvider"] = None,
data_storage_version: Optional[str] = None,
enable_v2_manifest_paths: Optional[bool] = None,
location: Optional[str] = None,
namespace_client: Optional[Any] = None,
pushdown_operations: Optional[set] = None,
):
"""
Create a new table.
@@ -2811,13 +2863,14 @@ class LanceTable(Table):
Deprecated. Set `storage_options` when connecting to the database and set
`new_table_enable_v2_manifest_paths` in the options.
"""
if namespace is None:
namespace = []
if namespace_path is None:
namespace_path = []
self = cls.__new__(cls)
self._conn = db
self._namespace = namespace
self._namespace_path = namespace_path
self._location = location
self._namespace_client = namespace_client
self._pushdown_operations = pushdown_operations or set()
if data_storage_version is not None:
warnings.warn(
@@ -2850,9 +2903,8 @@ class LanceTable(Table):
on_bad_vectors=on_bad_vectors,
fill_value=fill_value,
embedding_functions=embedding_functions,
namespace=namespace,
namespace_path=namespace_path,
storage_options=storage_options,
storage_options_provider=storage_options_provider,
location=location,
)
)
@@ -2921,6 +2973,15 @@ class LanceTable(Table):
batch_size: Optional[int] = None,
timeout: Optional[timedelta] = None,
) -> pa.RecordBatchReader:
if (
"QueryTable" in self._pushdown_operations
and self._namespace_client is not None
):
from lancedb.namespace import _execute_server_side_query
table_id = self._namespace_path + [self.name]
return _execute_server_side_query(self._namespace_client, table_id, query)
async_iter = LOOP.run(
self._table._execute_query(query, batch_size=batch_size, timeout=timeout)
)
@@ -3769,6 +3830,7 @@ class AsyncTable:
mode: Optional[Literal["append", "overwrite"]] = "append",
on_bad_vectors: Optional[OnBadVectorsType] = None,
fill_value: Optional[float] = None,
progress: Optional[Union[bool, Callable, Any]] = None,
) -> AddResult:
"""Add more data to the [Table](Table).
@@ -3790,6 +3852,9 @@ class AsyncTable:
One of "error", "drop", "fill", "null".
fill_value: float, default 0.
The value to use when filling vectors. Only used if on_bad_vectors="fill".
progress: callable or tqdm-like, optional
A callback or tqdm-compatible progress bar. See
:meth:`Table.add` for details.
"""
schema = await self.schema()
@@ -3800,7 +3865,13 @@ class AsyncTable:
# _santitize_data is an old code path, but we will use it until the
# new code path is ready.
if on_bad_vectors != "error" or (
if mode == "overwrite":
# For overwrite, apply the same preprocessing as create_table
# so vector columns are inferred as FixedSizeList.
data, _ = sanitize_create_table(
data, None, on_bad_vectors=on_bad_vectors, fill_value=fill_value
)
elif on_bad_vectors != "error" or (
schema.metadata is not None and b"embedding_functions" in schema.metadata
):
data = _sanitize_data(
@@ -3813,8 +3884,9 @@ class AsyncTable:
)
_register_optional_converters()
data = to_scannable(data)
progress, owns = _normalize_progress(progress)
try:
return await self._inner.add(data, mode or "append")
return await self._inner.add(data, mode or "append", progress=progress)
except RuntimeError as e:
if "Cast error" in str(e):
raise ValueError(e)
@@ -3822,6 +3894,9 @@ class AsyncTable:
raise ValueError(e)
else:
raise
finally:
if owns:
progress.close()
def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
"""
@@ -4144,7 +4219,7 @@ class AsyncTable:
async_query = async_query.offset(query.offset)
if query.columns:
async_query = async_query.select(query.columns)
if query.filter:
if query.filter is not None:
async_query = async_query.where(query.filter)
if query.fast_search:
async_query = async_query.fast_search()
@@ -4751,7 +4826,16 @@ class IndexStatistics:
num_indexed_rows: int
num_unindexed_rows: int
index_type: Literal[
"IVF_PQ", "IVF_HNSW_PQ", "IVF_HNSW_SQ", "FTS", "BTREE", "BITMAP", "LABEL_LIST"
"IVF_FLAT",
"IVF_SQ",
"IVF_PQ",
"IVF_RQ",
"IVF_HNSW_SQ",
"IVF_HNSW_PQ",
"FTS",
"BTREE",
"BITMAP",
"LABEL_LIST",
]
distance_type: Optional[Literal["l2", "cosine", "dot"]] = None
num_indices: Optional[int] = None

View File

@@ -183,8 +183,8 @@ def test_table_names(tmp_db: lancedb.DBConnection):
result = list(tmp_db.table_names("test2", limit=2))
assert result == ["test3"], f"Expected ['test3'], got {result}"
# Test that namespace parameter can be passed as keyword
result = list(tmp_db.table_names(namespace=[]))
# Test that namespace_path parameter can be passed as keyword
result = list(tmp_db.table_names(namespace_path=[]))
assert len(result) == 3
@@ -909,7 +909,7 @@ def test_local_namespace_operations(tmp_path):
NotImplementedError,
match="Namespace operations are not supported for listing database",
):
db.list_namespaces(namespace=["test"])
db.list_namespaces(namespace_path=["test"])
def test_local_create_namespace_not_supported(tmp_path):

View File

@@ -546,3 +546,24 @@ def test_openai_no_retry_on_401(mock_sleep):
assert mock_func.call_count == 1
# Verify that sleep was never called (no retries)
assert mock_sleep.call_count == 0
def test_url_retrieve_downloads_image():
"""
Embedding functions like open-clip, siglip, and jinaai use url_retrieve()
to download images from HTTP URLs. For example, open_clip._to_pil() calls:
PIL_Image.open(io.BytesIO(url_retrieve(image)))
Verify that url_retrieve() can download an image and open it as PIL Image,
matching the real usage pattern in embedding functions.
"""
import io
Image = pytest.importorskip("PIL.Image")
from lancedb.embeddings.utils import url_retrieve
image_url = "http://farm1.staticflickr.com/53/167798175_7c7845bbbd_z.jpg"
image_bytes = url_retrieve(image_url)
img = Image.open(io.BytesIO(image_bytes))
assert img.size[0] > 0 and img.size[1] > 0

View File

@@ -177,6 +177,60 @@ async def test_analyze_plan(table: AsyncTable):
assert "metrics=" in res
@pytest.fixture
def table_with_id(tmpdir_factory) -> Table:
tmp_path = str(tmpdir_factory.mktemp("data"))
db = lancedb.connect(tmp_path)
data = pa.table(
{
"id": pa.array([1, 2, 3, 4], type=pa.int64()),
"text": pa.array(["a", "b", "cat", "dog"]),
"vector": pa.array(
[[0.1, 0.1], [2, 2], [-0.1, -0.1], [0.5, -0.5]],
type=pa.list_(pa.float32(), list_size=2),
),
}
)
table = db.create_table("test_with_id", data)
table.create_fts_index("text", with_position=False, use_tantivy=False)
return table
def test_hybrid_prefilter_explain_plan(table_with_id: Table):
"""
Verify that the prefilter logic is not inverted in LanceHybridQueryBuilder.
"""
plan_prefilter = (
table_with_id.search(query_type="hybrid")
.vector([0.0, 0.0])
.text("dog")
.where("id = 1", prefilter=True)
.limit(2)
.explain_plan(verbose=True)
)
plan_postfilter = (
table_with_id.search(query_type="hybrid")
.vector([0.0, 0.0])
.text("dog")
.where("id = 1", prefilter=False)
.limit(2)
.explain_plan(verbose=True)
)
# prefilter=True: filter is pushed into the LanceRead scan.
# The FTS sub-plan exposes this as "full_filter=id = Int64(1)" inside LanceRead.
assert "full_filter=id = Int64(1)" in plan_prefilter, (
f"Should push the filter into the scan.\nPlan:\n{plan_prefilter}"
)
# prefilter=False: filter is applied as a separate FilterExec after the search.
# The filter must NOT be embedded in the scan.
assert "full_filter=id = Int64(1)" not in plan_postfilter, (
f"Should NOT push the filter into the scan.\nPlan:\n{plan_postfilter}"
)
def test_normalize_scores():
cases = [
(pa.array([0.1, 0.4]), pa.array([0.0, 1.0])),

View File

@@ -3,6 +3,7 @@
from datetime import timedelta
import random
from typing import get_args, get_type_hints
import pyarrow as pa
import pytest
@@ -22,6 +23,7 @@ from lancedb.index import (
HnswSq,
FTS,
)
from lancedb.table import IndexStatistics
@pytest_asyncio.fixture
@@ -283,3 +285,23 @@ async def test_create_index_with_binary_vectors(binary_table: AsyncTable):
for v in range(256):
res = await binary_table.query().nearest_to([v] * 128).to_arrow()
assert res["id"][0].as_py() == v
def test_index_statistics_index_type_lists_all_supported_values():
expected_index_types = {
"IVF_FLAT",
"IVF_SQ",
"IVF_PQ",
"IVF_RQ",
"IVF_HNSW_SQ",
"IVF_HNSW_PQ",
"FTS",
"BTREE",
"BITMAP",
"LABEL_LIST",
}
assert (
set(get_args(get_type_hints(IndexStatistics)["index_type"]))
== expected_index_types
)

View File

@@ -8,6 +8,7 @@ import shutil
import pytest
import pyarrow as pa
import lancedb
from lance_namespace.errors import NamespaceNotEmptyError, TableNotFoundError
class TestNamespaceConnection:
@@ -32,6 +33,16 @@ class TestNamespaceConnection:
# Initially no tables in root
assert len(list(db.table_names())) == 0
def test_connect_via_connect_helper(self):
"""Connecting via lancedb.connect should delegate to namespace connection."""
db = lancedb.connect(
namespace_client_impl="dir",
namespace_client_properties={"root": self.temp_dir},
)
assert isinstance(db, lancedb.LanceNamespaceDBConnection)
assert len(list(db.table_names())) == 0
def test_create_table_through_namespace(self):
"""Test creating a table through namespace."""
db = lancedb.connect_namespace("dir", {"root": self.temp_dir})
@@ -49,14 +60,14 @@ class TestNamespaceConnection:
)
# Create empty table in child namespace
table = db.create_table("test_table", schema=schema, namespace=["test_ns"])
table = db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
assert table is not None
assert table.name == "test_table"
assert table.namespace == ["test_ns"]
assert table.id == "test_ns$test_table"
# Table should appear in child namespace
table_names = list(db.table_names(namespace=["test_ns"]))
table_names = list(db.table_names(namespace_path=["test_ns"]))
assert "test_table" in table_names
assert len(table_names) == 1
@@ -79,10 +90,10 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("test_table", schema=schema, namespace=["test_ns"])
db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
# Open the table
table = db.open_table("test_table", namespace=["test_ns"])
table = db.open_table("test_table", namespace_path=["test_ns"])
assert table is not None
assert table.name == "test_table"
assert table.namespace == ["test_ns"]
@@ -107,31 +118,31 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("table1", schema=schema, namespace=["test_ns"])
db.create_table("table2", schema=schema, namespace=["test_ns"])
db.create_table("table1", schema=schema, namespace_path=["test_ns"])
db.create_table("table2", schema=schema, namespace_path=["test_ns"])
# Verify both tables exist in child namespace
table_names = list(db.table_names(namespace=["test_ns"]))
table_names = list(db.table_names(namespace_path=["test_ns"]))
assert "table1" in table_names
assert "table2" in table_names
assert len(table_names) == 2
# Drop one table
db.drop_table("table1", namespace=["test_ns"])
db.drop_table("table1", namespace_path=["test_ns"])
# Verify only table2 remains
table_names = list(db.table_names(namespace=["test_ns"]))
table_names = list(db.table_names(namespace_path=["test_ns"]))
assert "table1" not in table_names
assert "table2" in table_names
assert len(table_names) == 1
# Drop the second table
db.drop_table("table2", namespace=["test_ns"])
assert len(list(db.table_names(namespace=["test_ns"]))) == 0
db.drop_table("table2", namespace_path=["test_ns"])
assert len(list(db.table_names(namespace_path=["test_ns"]))) == 0
# Should not be able to open dropped table
with pytest.raises(RuntimeError):
db.open_table("table1", namespace=["test_ns"])
with pytest.raises(TableNotFoundError):
db.open_table("table1", namespace_path=["test_ns"])
def test_create_table_with_schema(self):
"""Test creating a table with explicit schema through namespace."""
@@ -150,7 +161,7 @@ class TestNamespaceConnection:
)
# Create table with schema in child namespace
table = db.create_table("test_table", schema=schema, namespace=["test_ns"])
table = db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
assert table is not None
assert table.namespace == ["test_ns"]
@@ -174,7 +185,7 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("old_name", schema=schema, namespace=["test_ns"])
db.create_table("old_name", schema=schema, namespace_path=["test_ns"])
# Rename should raise NotImplementedError
with pytest.raises(NotImplementedError, match="rename_table is not supported"):
@@ -195,20 +206,20 @@ class TestNamespaceConnection:
]
)
for i in range(3):
db.create_table(f"table{i}", schema=schema, namespace=["test_ns"])
db.create_table(f"table{i}", schema=schema, namespace_path=["test_ns"])
# Verify tables exist in child namespace
assert len(list(db.table_names(namespace=["test_ns"]))) == 3
assert len(list(db.table_names(namespace_path=["test_ns"]))) == 3
# Drop all tables in child namespace
db.drop_all_tables(namespace=["test_ns"])
db.drop_all_tables(namespace_path=["test_ns"])
# Verify all tables are gone from child namespace
assert len(list(db.table_names(namespace=["test_ns"]))) == 0
assert len(list(db.table_names(namespace_path=["test_ns"]))) == 0
# Test that table_names works with keyword-only namespace parameter
db.create_table("test_table", schema=schema, namespace=["test_ns"])
result = list(db.table_names(namespace=["test_ns"]))
db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
result = list(db.table_names(namespace_path=["test_ns"]))
assert "test_table" in result
def test_table_operations(self):
@@ -226,7 +237,7 @@ class TestNamespaceConnection:
pa.field("text", pa.string()),
]
)
table = db.create_table("test_table", schema=schema, namespace=["test_ns"])
table = db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
# Verify empty table was created
result = table.to_pandas()
@@ -297,25 +308,25 @@ class TestNamespaceConnection:
]
)
table = db.create_table(
"test_table", schema=schema, namespace=["test_namespace"]
"test_table", schema=schema, namespace_path=["test_namespace"]
)
assert table is not None
# Verify table exists in namespace
tables_in_namespace = list(db.table_names(namespace=["test_namespace"]))
tables_in_namespace = list(db.table_names(namespace_path=["test_namespace"]))
assert "test_table" in tables_in_namespace
assert len(tables_in_namespace) == 1
# Open table from namespace
table = db.open_table("test_table", namespace=["test_namespace"])
table = db.open_table("test_table", namespace_path=["test_namespace"])
assert table is not None
assert table.name == "test_table"
# Drop table from namespace
db.drop_table("test_table", namespace=["test_namespace"])
db.drop_table("test_table", namespace_path=["test_namespace"])
# Verify table no longer exists in namespace
tables_in_namespace = list(db.table_names(namespace=["test_namespace"]))
tables_in_namespace = list(db.table_names(namespace_path=["test_namespace"]))
assert len(tables_in_namespace) == 0
# Drop namespace
@@ -337,14 +348,14 @@ class TestNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
db.create_table("test_table", schema=schema, namespace=["test_namespace"])
db.create_table("test_table", schema=schema, namespace_path=["test_namespace"])
# Try to drop namespace with tables - should fail
with pytest.raises(RuntimeError, match="is not empty"):
with pytest.raises(NamespaceNotEmptyError):
db.drop_namespace(["test_namespace"])
# Drop table first
db.drop_table("test_table", namespace=["test_namespace"])
db.drop_table("test_table", namespace_path=["test_namespace"])
# Now dropping namespace should work
db.drop_namespace(["test_namespace"])
@@ -367,10 +378,10 @@ class TestNamespaceConnection:
# Create table with same name in both namespaces
table_a = db.create_table(
"same_name_table", schema=schema, namespace=["namespace_a"]
"same_name_table", schema=schema, namespace_path=["namespace_a"]
)
table_b = db.create_table(
"same_name_table", schema=schema, namespace=["namespace_b"]
"same_name_table", schema=schema, namespace_path=["namespace_b"]
)
# Add different data to each table
@@ -388,7 +399,9 @@ class TestNamespaceConnection:
table_b.add(data_b)
# Verify data in namespace_a table
opened_table_a = db.open_table("same_name_table", namespace=["namespace_a"])
opened_table_a = db.open_table(
"same_name_table", namespace_path=["namespace_a"]
)
result_a = opened_table_a.to_pandas().sort_values("id").reset_index(drop=True)
assert len(result_a) == 2
assert result_a["id"].tolist() == [1, 2]
@@ -399,7 +412,9 @@ class TestNamespaceConnection:
assert [v.tolist() for v in result_a["vector"]] == [[1.0, 2.0], [3.0, 4.0]]
# Verify data in namespace_b table
opened_table_b = db.open_table("same_name_table", namespace=["namespace_b"])
opened_table_b = db.open_table(
"same_name_table", namespace_path=["namespace_b"]
)
result_b = opened_table_b.to_pandas().sort_values("id").reset_index(drop=True)
assert len(result_b) == 3
assert result_b["id"].tolist() == [10, 20, 30]
@@ -419,8 +434,8 @@ class TestNamespaceConnection:
assert "same_name_table" not in root_tables
# Clean up
db.drop_table("same_name_table", namespace=["namespace_a"])
db.drop_table("same_name_table", namespace=["namespace_b"])
db.drop_table("same_name_table", namespace_path=["namespace_a"])
db.drop_table("same_name_table", namespace_path=["namespace_b"])
db.drop_namespace(["namespace_a"])
db.drop_namespace(["namespace_b"])
@@ -448,6 +463,8 @@ class TestAsyncNamespaceConnection:
table_names = await db.table_names()
assert len(list(table_names)) == 0
# Async connect via namespace helper is not enabled yet.
async def test_create_table_async(self):
"""Test creating a table asynchronously through namespace."""
db = lancedb.connect_namespace_async("dir", {"root": self.temp_dir})
@@ -466,13 +483,13 @@ class TestAsyncNamespaceConnection:
# Create empty table in child namespace
table = await db.create_table(
"test_table", schema=schema, namespace=["test_ns"]
"test_table", schema=schema, namespace_path=["test_ns"]
)
assert table is not None
assert isinstance(table, lancedb.AsyncTable)
# Table should appear in child namespace
table_names = await db.table_names(namespace=["test_ns"])
table_names = await db.table_names(namespace_path=["test_ns"])
assert "test_table" in list(table_names)
async def test_open_table_async(self):
@@ -489,10 +506,10 @@ class TestAsyncNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
await db.create_table("test_table", schema=schema, namespace=["test_ns"])
await db.create_table("test_table", schema=schema, namespace_path=["test_ns"])
# Open the table
table = await db.open_table("test_table", namespace=["test_ns"])
table = await db.open_table("test_table", namespace_path=["test_ns"])
assert table is not None
assert isinstance(table, lancedb.AsyncTable)
@@ -546,20 +563,20 @@ class TestAsyncNamespaceConnection:
pa.field("vector", pa.list_(pa.float32(), 2)),
]
)
await db.create_table("table1", schema=schema, namespace=["test_ns"])
await db.create_table("table2", schema=schema, namespace=["test_ns"])
await db.create_table("table1", schema=schema, namespace_path=["test_ns"])
await db.create_table("table2", schema=schema, namespace_path=["test_ns"])
# Verify both tables exist in child namespace
table_names = list(await db.table_names(namespace=["test_ns"]))
table_names = list(await db.table_names(namespace_path=["test_ns"]))
assert "table1" in table_names
assert "table2" in table_names
assert len(table_names) == 2
# Drop one table
await db.drop_table("table1", namespace=["test_ns"])
await db.drop_table("table1", namespace_path=["test_ns"])
# Verify only table2 remains
table_names = list(await db.table_names(namespace=["test_ns"]))
table_names = list(await db.table_names(namespace_path=["test_ns"]))
assert "table1" not in table_names
assert "table2" in table_names
assert len(table_names) == 1
@@ -588,20 +605,24 @@ class TestAsyncNamespaceConnection:
]
)
table = await db.create_table(
"test_table", schema=schema, namespace=["test_namespace"]
"test_table", schema=schema, namespace_path=["test_namespace"]
)
assert table is not None
# Verify table exists in namespace
tables_in_namespace = list(await db.table_names(namespace=["test_namespace"]))
tables_in_namespace = list(
await db.table_names(namespace_path=["test_namespace"])
)
assert "test_table" in tables_in_namespace
assert len(tables_in_namespace) == 1
# Drop table from namespace
await db.drop_table("test_table", namespace=["test_namespace"])
await db.drop_table("test_table", namespace_path=["test_namespace"])
# Verify table no longer exists in namespace
tables_in_namespace = list(await db.table_names(namespace=["test_namespace"]))
tables_in_namespace = list(
await db.table_names(namespace_path=["test_namespace"])
)
assert len(tables_in_namespace) == 0
# Drop namespace
@@ -626,15 +647,98 @@ class TestAsyncNamespaceConnection:
]
)
for i in range(3):
await db.create_table(f"table{i}", schema=schema, namespace=["test_ns"])
await db.create_table(
f"table{i}", schema=schema, namespace_path=["test_ns"]
)
# Verify tables exist in child namespace
table_names = await db.table_names(namespace=["test_ns"])
table_names = await db.table_names(namespace_path=["test_ns"])
assert len(list(table_names)) == 3
# Drop all tables in child namespace
await db.drop_all_tables(namespace=["test_ns"])
await db.drop_all_tables(namespace_path=["test_ns"])
# Verify all tables are gone from child namespace
table_names = await db.table_names(namespace=["test_ns"])
table_names = await db.table_names(namespace_path=["test_ns"])
assert len(list(table_names)) == 0
class TestPushdownOperations:
"""Test pushdown operations on namespace connections."""
def setup_method(self):
"""Set up test fixtures."""
self.temp_dir = tempfile.mkdtemp()
def teardown_method(self):
"""Clean up test fixtures."""
shutil.rmtree(self.temp_dir, ignore_errors=True)
def test_query_table_pushdown_stored(self):
"""Test that QueryTable pushdown is stored on sync connection."""
db = lancedb.connect_namespace(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["QueryTable"],
)
assert "QueryTable" in db._pushdown_operations
def test_create_table_pushdown_stored(self):
"""Test that CreateTable pushdown is stored on sync connection."""
db = lancedb.connect_namespace(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["CreateTable"],
)
assert "CreateTable" in db._pushdown_operations
def test_both_pushdowns_stored(self):
"""Test that both pushdown operations can be set together."""
db = lancedb.connect_namespace(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["QueryTable", "CreateTable"],
)
assert "QueryTable" in db._pushdown_operations
assert "CreateTable" in db._pushdown_operations
def test_pushdown_defaults_to_empty(self):
"""Test that pushdown operations default to empty."""
db = lancedb.connect_namespace("dir", {"root": self.temp_dir})
assert len(db._pushdown_operations) == 0
@pytest.mark.asyncio
class TestAsyncPushdownOperations:
"""Test pushdown operations on async namespace connections."""
def setup_method(self):
"""Set up test fixtures."""
self.temp_dir = tempfile.mkdtemp()
def teardown_method(self):
"""Clean up test fixtures."""
shutil.rmtree(self.temp_dir, ignore_errors=True)
async def test_async_query_table_pushdown_stored(self):
"""Test that QueryTable pushdown is stored on async connection."""
db = lancedb.connect_namespace_async(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["QueryTable"],
)
assert "QueryTable" in db._pushdown_operations
async def test_async_create_table_pushdown_stored(self):
"""Test that CreateTable pushdown is stored on async connection."""
db = lancedb.connect_namespace_async(
"dir",
{"root": self.temp_dir},
namespace_client_pushdown_operations=["CreateTable"],
)
assert "CreateTable" in db._pushdown_operations
async def test_async_pushdown_defaults_to_empty(self):
"""Test that pushdown operations default to empty on async connection."""
db = lancedb.connect_namespace_async("dir", {"root": self.temp_dir})
assert len(db._pushdown_operations) == 0

View File

@@ -4,9 +4,11 @@
"""
Integration tests for LanceDB Namespace with S3 and credential refresh.
This test simulates a namespace server that returns incrementing credentials
and verifies that the credential refresh mechanism works correctly for both
create_table and open_table operations.
This test uses DirectoryNamespace with native ops_metrics and vend_input_storage_options
features to track API calls and test credential refresh mechanisms.
Tests are parameterized to run with both DirectoryNamespace and a CustomNamespace
wrapper to verify Python-Rust binding works correctly for custom implementations.
Tests verify:
- Storage options provider is auto-created and used
@@ -18,22 +20,136 @@ Tests verify:
import copy
import time
import uuid
from threading import Lock
from typing import Dict
from typing import Dict, Optional
import pyarrow as pa
import pytest
from lance_namespace import (
CreateEmptyTableRequest,
CreateEmptyTableResponse,
from lance.namespace import (
DeclareTableRequest,
DeclareTableResponse,
DescribeTableRequest,
DescribeTableResponse,
DirectoryNamespace,
LanceNamespace,
)
from lance_namespace import (
CreateNamespaceRequest,
CreateNamespaceResponse,
CreateTableRequest,
CreateTableResponse,
CreateTableVersionRequest,
CreateTableVersionResponse,
DeregisterTableRequest,
DeregisterTableResponse,
DescribeNamespaceRequest,
DescribeNamespaceResponse,
DescribeTableVersionRequest,
DescribeTableVersionResponse,
DropNamespaceRequest,
DropNamespaceResponse,
DropTableRequest,
DropTableResponse,
ListNamespacesRequest,
ListNamespacesResponse,
ListTablesRequest,
ListTablesResponse,
ListTableVersionsRequest,
ListTableVersionsResponse,
NamespaceExistsRequest,
RegisterTableRequest,
RegisterTableResponse,
TableExistsRequest,
)
from lancedb.namespace import LanceNamespaceDBConnection
class CustomNamespace(LanceNamespace):
"""A custom namespace wrapper that delegates to DirectoryNamespace.
This class verifies that the Python-Rust binding works correctly for
custom namespace implementations that wrap the native DirectoryNamespace.
All methods simply delegate to the underlying DirectoryNamespace instance.
"""
def __init__(self, inner: DirectoryNamespace):
self._inner = inner
def namespace_id(self) -> str:
return f"CustomNamespace[{self._inner.namespace_id()}]"
def create_namespace(
self, request: CreateNamespaceRequest
) -> CreateNamespaceResponse:
return self._inner.create_namespace(request)
def describe_namespace(
self, request: DescribeNamespaceRequest
) -> DescribeNamespaceResponse:
return self._inner.describe_namespace(request)
def namespace_exists(self, request: NamespaceExistsRequest) -> None:
return self._inner.namespace_exists(request)
def drop_namespace(self, request: DropNamespaceRequest) -> DropNamespaceResponse:
return self._inner.drop_namespace(request)
def list_namespaces(self, request: ListNamespacesRequest) -> ListNamespacesResponse:
return self._inner.list_namespaces(request)
def create_table(
self, request: CreateTableRequest, data: bytes
) -> CreateTableResponse:
return self._inner.create_table(request, data)
def declare_table(self, request: DeclareTableRequest) -> DeclareTableResponse:
return self._inner.declare_table(request)
def describe_table(self, request: DescribeTableRequest) -> DescribeTableResponse:
return self._inner.describe_table(request)
def table_exists(self, request: TableExistsRequest) -> None:
return self._inner.table_exists(request)
def drop_table(self, request: DropTableRequest) -> DropTableResponse:
return self._inner.drop_table(request)
def list_tables(self, request: ListTablesRequest) -> ListTablesResponse:
return self._inner.list_tables(request)
def register_table(self, request: RegisterTableRequest) -> RegisterTableResponse:
return self._inner.register_table(request)
def deregister_table(
self, request: DeregisterTableRequest
) -> DeregisterTableResponse:
return self._inner.deregister_table(request)
def list_table_versions(
self, request: ListTableVersionsRequest
) -> ListTableVersionsResponse:
return self._inner.list_table_versions(request)
def describe_table_version(
self, request: DescribeTableVersionRequest
) -> DescribeTableVersionResponse:
return self._inner.describe_table_version(request)
def create_table_version(
self, request: CreateTableVersionRequest
) -> CreateTableVersionResponse:
return self._inner.create_table_version(request)
def retrieve_ops_metrics(self) -> Optional[Dict[str, int]]:
return self._inner.retrieve_ops_metrics()
def _wrap_if_custom(ns_client: DirectoryNamespace, use_custom: bool):
"""Wrap namespace client in CustomNamespace if use_custom is True."""
if use_custom:
return CustomNamespace(ns_client)
return ns_client
# LocalStack S3 configuration
CONFIG = {
"allow_http": "true",
@@ -89,162 +205,88 @@ def delete_bucket(s3, bucket_name):
pass
class TrackingNamespace(LanceNamespace):
def create_tracking_namespace(
bucket_name: str,
storage_options: dict,
credential_expires_in_seconds: int = 60,
use_custom: bool = False,
):
"""Create a DirectoryNamespace with ops metrics and credential vending enabled.
Uses native DirectoryNamespace features:
- ops_metrics_enabled=true: Tracks API call counts via retrieve_ops_metrics()
- vend_input_storage_options=true: Returns input storage options in responses
- vend_input_storage_options_refresh_interval_millis: Adds expires_at_millis
Args:
bucket_name: S3 bucket name or local path
storage_options: Storage options to pass through (credentials, endpoint, etc.)
credential_expires_in_seconds: Interval in seconds for credential expiration
use_custom: If True, wrap in CustomNamespace for testing custom implementations
Returns:
Tuple of (namespace_client, inner_namespace_client) where inner is always
the DirectoryNamespace (used for metrics retrieval)
"""
Mock namespace that wraps DirectoryNamespace and tracks API calls.
# Add refresh_offset_millis to storage options so that credentials are not
# considered expired immediately. Set to 1 second (1000ms) so that refresh
# checks work correctly with short-lived credentials in tests.
storage_options_with_refresh = dict(storage_options)
storage_options_with_refresh["refresh_offset_millis"] = "1000"
This namespace returns incrementing credentials with each API call to simulate
credential rotation. It also tracks the number of times each API is called
to verify caching behavior.
"""
dir_props = {f"storage.{k}": v for k, v in storage_options_with_refresh.items()}
def __init__(
self,
bucket_name: str,
storage_options: Dict[str, str],
credential_expires_in_seconds: int = 60,
):
from lance.namespace import DirectoryNamespace
if bucket_name.startswith("/") or bucket_name.startswith("file://"):
dir_props["root"] = f"{bucket_name}/namespace_root"
else:
dir_props["root"] = f"s3://{bucket_name}/namespace_root"
self.bucket_name = bucket_name
self.base_storage_options = storage_options
self.credential_expires_in_seconds = credential_expires_in_seconds
self.describe_call_count = 0
self.create_call_count = 0
self.lock = Lock()
# Enable ops metrics tracking
dir_props["ops_metrics_enabled"] = "true"
# Enable storage options vending
dir_props["vend_input_storage_options"] = "true"
# Set refresh interval in milliseconds
dir_props["vend_input_storage_options_refresh_interval_millis"] = str(
credential_expires_in_seconds * 1000
)
# Create underlying DirectoryNamespace with storage options
dir_props = {f"storage.{k}": v for k, v in storage_options.items()}
inner_ns_client = DirectoryNamespace(**dir_props)
ns_client = _wrap_if_custom(inner_ns_client, use_custom)
return ns_client, inner_ns_client
# Use S3 path for bucket name, local path for file paths
if bucket_name.startswith("/") or bucket_name.startswith("file://"):
dir_props["root"] = f"{bucket_name}/namespace_root"
else:
dir_props["root"] = f"s3://{bucket_name}/namespace_root"
self.inner = DirectoryNamespace(**dir_props)
def get_describe_call_count(namespace_client) -> int:
"""Get the number of describe_table calls made to the namespace client."""
return namespace_client.retrieve_ops_metrics().get("describe_table", 0)
def get_describe_call_count(self) -> int:
"""Thread-safe getter for describe call count."""
with self.lock:
return self.describe_call_count
def get_create_call_count(self) -> int:
"""Thread-safe getter for create call count."""
with self.lock:
return self.create_call_count
def namespace_id(self) -> str:
"""Return namespace identifier."""
return f"TrackingNamespace {{ inner: {self.inner.namespace_id()} }}"
def _modify_storage_options(
self, storage_options: Dict[str, str], count: int
) -> Dict[str, str]:
"""
Add incrementing credentials with expiration timestamp.
This simulates a credential rotation system where each call returns
new credentials that expire after credential_expires_in_seconds.
"""
# Start from base storage options (endpoint, region, allow_http, etc.)
# because DirectoryNamespace returns None for storage_options from
# describe_table/declare_table when no credential vendor is configured.
modified = copy.deepcopy(self.base_storage_options)
if storage_options:
modified.update(storage_options)
# Increment credentials to simulate rotation
modified["aws_access_key_id"] = f"AKID_{count}"
modified["aws_secret_access_key"] = f"SECRET_{count}"
modified["aws_session_token"] = f"TOKEN_{count}"
# Set expiration time
expires_at_millis = int(
(time.time() + self.credential_expires_in_seconds) * 1000
)
modified["expires_at_millis"] = str(expires_at_millis)
return modified
def declare_table(self, request: DeclareTableRequest) -> DeclareTableResponse:
"""Track declare_table calls and inject rotating credentials."""
with self.lock:
self.create_call_count += 1
count = self.create_call_count
response = self.inner.declare_table(request)
response.storage_options = self._modify_storage_options(
response.storage_options, count
)
return response
def create_empty_table(
self, request: CreateEmptyTableRequest
) -> CreateEmptyTableResponse:
"""Track create_empty_table calls and inject rotating credentials."""
with self.lock:
self.create_call_count += 1
count = self.create_call_count
response = self.inner.create_empty_table(request)
response.storage_options = self._modify_storage_options(
response.storage_options, count
)
return response
def describe_table(self, request: DescribeTableRequest) -> DescribeTableResponse:
"""Track describe_table calls and inject rotating credentials."""
with self.lock:
self.describe_call_count += 1
count = self.describe_call_count
response = self.inner.describe_table(request)
response.storage_options = self._modify_storage_options(
response.storage_options, count
)
return response
# Pass through other methods to inner namespace
def list_tables(self, request):
return self.inner.list_tables(request)
def drop_table(self, request):
return self.inner.drop_table(request)
def list_namespaces(self, request):
return self.inner.list_namespaces(request)
def create_namespace(self, request):
return self.inner.create_namespace(request)
def drop_namespace(self, request):
return self.inner.drop_namespace(request)
def get_declare_call_count(namespace_client) -> int:
"""Get the number of declare_table calls made to the namespace client."""
return namespace_client.retrieve_ops_metrics().get("declare_table", 0)
@pytest.mark.s3_test
def test_namespace_create_table_with_provider(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_create_table_with_provider(s3_bucket: str, use_custom: bool):
"""
Test creating a table through namespace with storage options provider.
Verifies:
- create_empty_table is called once to reserve location
- declare_table is called once to reserve location
- Storage options provider is auto-created
- Table can be written successfully
- Credentials are cached during write operations
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600, # 1 hour
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -254,8 +296,8 @@ def test_namespace_create_table_with_provider(s3_bucket: str):
namespace_path = [namespace_name]
# Verify initial state
assert namespace.get_create_call_count() == 0
assert namespace.get_describe_call_count() == 0
assert get_declare_call_count(inner_ns_client) == 0
assert get_describe_call_count(inner_ns_client) == 0
# Create table with data
data = pa.table(
@@ -266,12 +308,12 @@ def test_namespace_create_table_with_provider(s3_bucket: str):
}
)
table = db.create_table(table_name, data, namespace=namespace_path)
table = db.create_table(table_name, data, namespace_path=namespace_path)
# Verify create_empty_table was called exactly once
assert namespace.get_create_call_count() == 1
# Verify declare_table was called exactly once
assert get_declare_call_count(inner_ns_client) == 1
# describe_table should NOT be called during create in create mode
assert namespace.get_describe_call_count() == 0
assert get_describe_call_count(inner_ns_client) == 0
# Verify table was created successfully
assert table.name == table_name
@@ -281,7 +323,8 @@ def test_namespace_create_table_with_provider(s3_bucket: str):
@pytest.mark.s3_test
def test_namespace_open_table_with_provider(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_open_table_with_provider(s3_bucket: str, use_custom: bool):
"""
Test opening a table through namespace with storage options provider.
@@ -293,13 +336,14 @@ def test_namespace_open_table_with_provider(s3_bucket: str):
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -317,21 +361,21 @@ def test_namespace_open_table_with_provider(s3_bucket: str):
}
)
db.create_table(table_name, data, namespace=namespace_path)
db.create_table(table_name, data, namespace_path=namespace_path)
initial_create_count = namespace.get_create_call_count()
assert initial_create_count == 1
initial_declare_count = get_declare_call_count(inner_ns_client)
assert initial_declare_count == 1
# Open the table
opened_table = db.open_table(table_name, namespace=namespace_path)
opened_table = db.open_table(table_name, namespace_path=namespace_path)
# Verify describe_table was called exactly once
assert namespace.get_describe_call_count() == 1
# create_empty_table should not be called again
assert namespace.get_create_call_count() == initial_create_count
assert get_describe_call_count(inner_ns_client) == 1
# declare_table should not be called again
assert get_declare_call_count(inner_ns_client) == initial_declare_count
# Perform multiple read operations
describe_count_after_open = namespace.get_describe_call_count()
describe_count_after_open = get_describe_call_count(inner_ns_client)
for _ in range(3):
result = opened_table.to_pandas()
@@ -340,11 +384,12 @@ def test_namespace_open_table_with_provider(s3_bucket: str):
assert count == 5
# Verify credentials were cached (no additional describe_table calls)
assert namespace.get_describe_call_count() == describe_count_after_open
assert get_describe_call_count(inner_ns_client) == describe_count_after_open
@pytest.mark.s3_test
def test_namespace_credential_refresh_on_read(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_credential_refresh_on_read(s3_bucket: str, use_custom: bool):
"""
Test credential refresh when credentials expire during read operations.
@@ -355,13 +400,14 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str):
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3, # Short expiration for testing
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -378,16 +424,16 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str):
}
)
db.create_table(table_name, data, namespace=namespace_path)
db.create_table(table_name, data, namespace_path=namespace_path)
# Open table (triggers describe_table)
opened_table = db.open_table(table_name, namespace=namespace_path)
opened_table = db.open_table(table_name, namespace_path=namespace_path)
# Perform an immediate read (should use credentials from open)
result = opened_table.to_pandas()
assert len(result) == 3
describe_count_after_first_read = namespace.get_describe_call_count()
describe_count_after_first_read = get_describe_call_count(inner_ns_client)
# Wait for credentials to expire (3 seconds + buffer)
time.sleep(5)
@@ -396,7 +442,7 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str):
result = opened_table.to_pandas()
assert len(result) == 3
describe_count_after_refresh = namespace.get_describe_call_count()
describe_count_after_refresh = get_describe_call_count(inner_ns_client)
# Verify describe_table was called again (credential refresh)
refresh_delta = describe_count_after_refresh - describe_count_after_first_read
@@ -409,7 +455,8 @@ def test_namespace_credential_refresh_on_read(s3_bucket: str):
@pytest.mark.s3_test
def test_namespace_credential_refresh_on_write(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_credential_refresh_on_write(s3_bucket: str, use_custom: bool):
"""
Test credential refresh when credentials expire during write operations.
@@ -420,13 +467,14 @@ def test_namespace_credential_refresh_on_write(s3_bucket: str):
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3, # Short expiration
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -443,7 +491,7 @@ def test_namespace_credential_refresh_on_write(s3_bucket: str):
}
)
table = db.create_table(table_name, initial_data, namespace=namespace_path)
table = db.create_table(table_name, initial_data, namespace_path=namespace_path)
# Add more data (should use cached credentials)
new_data = pa.table(
@@ -471,24 +519,26 @@ def test_namespace_credential_refresh_on_write(s3_bucket: str):
@pytest.mark.s3_test
def test_namespace_overwrite_mode(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_overwrite_mode(s3_bucket: str, use_custom: bool):
"""
Test creating table in overwrite mode with credential tracking.
Verifies:
- First create calls create_empty_table exactly once
- First create calls declare_table exactly once
- Overwrite mode calls describe_table exactly once to check existence
- Storage options provider works in overwrite mode
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -505,11 +555,11 @@ def test_namespace_overwrite_mode(s3_bucket: str):
}
)
table = db.create_table(table_name, data1, namespace=namespace_path)
# Exactly one create_empty_table call for initial create
assert namespace.get_create_call_count() == 1
table = db.create_table(table_name, data1, namespace_path=namespace_path)
# Exactly one declare_table call for initial create
assert get_declare_call_count(inner_ns_client) == 1
# No describe_table calls in create mode
assert namespace.get_describe_call_count() == 0
assert get_describe_call_count(inner_ns_client) == 0
assert table.count_rows() == 2
# Overwrite the table
@@ -521,14 +571,14 @@ def test_namespace_overwrite_mode(s3_bucket: str):
)
table2 = db.create_table(
table_name, data2, namespace=namespace_path, mode="overwrite"
table_name, data2, namespace_path=namespace_path, mode="overwrite"
)
# Should still have only 1 create_empty_table call
# Should still have only 1 declare_table call
# (overwrite reuses location from describe_table)
assert namespace.get_create_call_count() == 1
assert get_declare_call_count(inner_ns_client) == 1
# Should have called describe_table exactly once to get existing table location
assert namespace.get_describe_call_count() == 1
assert get_describe_call_count(inner_ns_client) == 1
# Verify new data
assert table2.count_rows() == 3
@@ -537,7 +587,8 @@ def test_namespace_overwrite_mode(s3_bucket: str):
@pytest.mark.s3_test
def test_namespace_multiple_tables(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_multiple_tables(s3_bucket: str, use_custom: bool):
"""
Test creating and opening multiple tables in the same namespace.
@@ -548,13 +599,14 @@ def test_namespace_multiple_tables(s3_bucket: str):
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -564,22 +616,22 @@ def test_namespace_multiple_tables(s3_bucket: str):
# Create first table
table1_name = f"table1_{uuid.uuid4().hex}"
data1 = pa.table({"id": [1, 2], "value": [10, 20]})
db.create_table(table1_name, data1, namespace=namespace_path)
db.create_table(table1_name, data1, namespace_path=namespace_path)
# Create second table
table2_name = f"table2_{uuid.uuid4().hex}"
data2 = pa.table({"id": [3, 4], "value": [30, 40]})
db.create_table(table2_name, data2, namespace=namespace_path)
db.create_table(table2_name, data2, namespace_path=namespace_path)
# Should have 2 create calls (one per table)
assert namespace.get_create_call_count() == 2
# Should have 2 declare calls (one per table)
assert get_declare_call_count(inner_ns_client) == 2
# Open both tables
opened1 = db.open_table(table1_name, namespace=namespace_path)
opened2 = db.open_table(table2_name, namespace=namespace_path)
opened1 = db.open_table(table1_name, namespace_path=namespace_path)
opened2 = db.open_table(table2_name, namespace_path=namespace_path)
# Should have 2 describe calls (one per open)
assert namespace.get_describe_call_count() == 2
assert get_describe_call_count(inner_ns_client) == 2
# Verify both tables work independently
assert opened1.count_rows() == 2
@@ -593,7 +645,8 @@ def test_namespace_multiple_tables(s3_bucket: str):
@pytest.mark.s3_test
def test_namespace_with_schema_only(s3_bucket: str):
@pytest.mark.parametrize("use_custom", [False, True], ids=["DirectoryNS", "CustomNS"])
def test_namespace_with_schema_only(s3_bucket: str, use_custom: bool):
"""
Test creating empty table with schema only (no data).
@@ -604,13 +657,14 @@ def test_namespace_with_schema_only(s3_bucket: str):
"""
storage_options = copy.deepcopy(CONFIG)
namespace = TrackingNamespace(
ns_client, inner_ns_client = create_tracking_namespace(
bucket_name=s3_bucket,
storage_options=storage_options,
credential_expires_in_seconds=3600,
use_custom=use_custom,
)
db = LanceNamespaceDBConnection(namespace)
db = LanceNamespaceDBConnection(ns_client)
# Create unique namespace for this test
namespace_name = f"test_ns_{uuid.uuid4().hex[:8]}"
@@ -628,12 +682,12 @@ def test_namespace_with_schema_only(s3_bucket: str):
]
)
table = db.create_table(table_name, schema=schema, namespace=namespace_path)
table = db.create_table(table_name, schema=schema, namespace_path=namespace_path)
# Should have called create_empty_table once
assert namespace.get_create_call_count() == 1
# Should have called declare_table once
assert get_declare_call_count(inner_ns_client) == 1
# Should NOT have called describe_table in create mode
assert namespace.get_describe_call_count() == 0
assert get_describe_call_count(inner_ns_client) == 0
# Verify empty table
assert table.count_rows() == 0

View File

@@ -30,6 +30,7 @@ from lancedb.query import (
PhraseQuery,
Query,
FullTextSearchQuery,
ensure_vector_query,
)
from lancedb.rerankers.cross_encoder import CrossEncoderReranker
from lancedb.table import AsyncTable, LanceTable
@@ -1501,6 +1502,18 @@ def test_search_empty_table(mem_db):
assert results == []
def test_ensure_vector_query_empty_list():
"""Regression: ensure_vector_query used to return instead of raise ValueError."""
with pytest.raises(ValueError, match="non-empty"):
ensure_vector_query([])
def test_ensure_vector_query_nested_empty_list():
"""Regression: ensure_vector_query used to return instead of raise ValueError."""
with pytest.raises(ValueError, match="non-empty"):
ensure_vector_query([[]])
def test_fast_search(tmp_path):
db = lancedb.connect(tmp_path)

View File

@@ -1201,6 +1201,18 @@ async def test_header_provider_overrides_static_headers():
await db.table_names()
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())
@pytest.mark.parametrize("exception", [KeyboardInterrupt, SystemExit, GeneratorExit])
def test_background_loop_cancellation(exception):
"""Test that BackgroundEventLoop.run() cancels the future on interrupt."""

View File

@@ -527,6 +527,132 @@ async def test_add_async(mem_db_async: AsyncConnection):
assert await table.count_rows() == 3
def test_add_overwrite_infers_vector_schema(mem_db: DBConnection):
"""Overwrite should infer vector columns the same way create_table does.
Regression test for https://github.com/lancedb/lancedb/issues/3183
"""
table = mem_db.create_table(
"test_overwrite_vec",
data=[
{"vector": [1.0, 2.0, 3.0, 4.0], "item": "foo"},
{"vector": [5.0, 6.0, 7.0, 8.0], "item": "bar"},
],
)
# create_table infers vector as fixed_size_list<float32, 4>
original_type = table.schema.field("vector").type
assert pa.types.is_fixed_size_list(original_type)
# overwrite with plain Python lists (PyArrow infers list<double>)
table.add(
[
{"vector": [10.0, 20.0, 30.0, 40.0], "item": "baz"},
],
mode="overwrite",
)
# overwrite should infer vector column the same way as create_table
new_type = table.schema.field("vector").type
assert pa.types.is_fixed_size_list(new_type), (
f"Expected fixed_size_list after overwrite, got {new_type}"
)
def test_add_progress_callback(mem_db: DBConnection):
table = mem_db.create_table(
"test",
data=[{"id": 1}, {"id": 2}],
)
updates = []
table.add([{"id": 3}, {"id": 4}], progress=lambda p: updates.append(dict(p)))
assert len(table) == 4
# The done callback always fires, so we should always get at least one.
assert len(updates) >= 1, "expected at least one progress callback"
for p in updates:
assert "output_rows" in p
assert "output_bytes" in p
assert "total_rows" in p
assert "elapsed_seconds" in p
assert "active_tasks" in p
assert "total_tasks" in p
assert "done" in p
# The last callback should have done=True.
assert updates[-1]["done"] is True
def test_add_progress_tqdm_like(mem_db: DBConnection):
"""Test that a tqdm-like object gets total set and update() called."""
class FakeBar:
def __init__(self):
self.total = None
self.n = 0
self.postfix = None
def update(self, n):
self.n += n
def set_postfix_str(self, s):
self.postfix = s
def refresh(self):
pass
table = mem_db.create_table(
"test",
data=[{"id": 1}, {"id": 2}],
)
bar = FakeBar()
table.add([{"id": 3}, {"id": 4}], progress=bar)
assert len(table) == 4
# Postfix should contain throughput and worker count
if bar.postfix is not None:
assert "MB/s" in bar.postfix
assert "workers" in bar.postfix
def test_add_progress_bool(mem_db: DBConnection):
"""Test that progress=True creates and closes a tqdm bar automatically."""
table = mem_db.create_table(
"test",
data=[{"id": 1}, {"id": 2}],
)
table.add([{"id": 3}, {"id": 4}], progress=True)
assert len(table) == 4
# progress=False should be the same as None
table.add([{"id": 5}], progress=False)
assert len(table) == 5
@pytest.mark.asyncio
async def test_add_progress_callback_async(mem_db_async: AsyncConnection):
"""Progress callbacks work through the async path too."""
table = await mem_db_async.create_table("test", data=[{"id": 1}, {"id": 2}])
updates = []
await table.add([{"id": 3}, {"id": 4}], progress=lambda p: updates.append(dict(p)))
assert await table.count_rows() == 4
assert len(updates) >= 1
assert updates[-1]["done"] is True
def test_add_progress_callback_error(mem_db: DBConnection):
"""A failing callback must not prevent the write from succeeding."""
table = mem_db.create_table("test", data=[{"id": 1}, {"id": 2}])
def bad_callback(p):
raise RuntimeError("boom")
table.add([{"id": 3}, {"id": 4}], progress=bad_callback)
assert len(table) == 4
def test_polars(mem_db: DBConnection):
data = {
"vector": [[3.1, 4.1], [5.9, 26.5]],
@@ -1982,7 +2108,7 @@ def test_stats(mem_db: DBConnection):
stats = table.stats()
print(f"{stats=}")
assert stats == {
"total_bytes": 38,
"total_bytes": 60,
"num_rows": 2,
"num_indices": 0,
"fragment_stats": {
@@ -2047,3 +2173,33 @@ def test_table_uri(tmp_path):
db = lancedb.connect(tmp_path)
table = db.create_table("my_table", data=[{"x": 0}])
assert table.uri == str(tmp_path / "my_table.lance")
def test_sanitize_data_metadata_not_stripped():
"""Regression test: dict.update() returns None, so assigning its result
would silently replace metadata with None, causing with_metadata(None)
to strip all schema metadata from the target schema."""
from lancedb.table import _sanitize_data
schema = pa.schema(
[pa.field("x", pa.int64())],
metadata={b"existing_key": b"existing_value"},
)
batch = pa.record_batch([pa.array([1, 2, 3])], schema=schema)
# Use a different field type so the reader and target schemas differ,
# forcing _cast_to_target_schema to rebuild the schema with the
# target's metadata (instead of taking the fast-path).
target_schema = pa.schema(
[pa.field("x", pa.int32())],
metadata={b"existing_key": b"existing_value"},
)
reader = pa.RecordBatchReader.from_batches(schema, [batch])
metadata = {b"new_key": b"new_value"}
result = _sanitize_data(reader, target_schema=target_schema, metadata=metadata)
result_schema = result.schema
assert result_schema.metadata is not None
assert result_schema.metadata[b"existing_key"] == b"existing_value"
assert result_schema.metadata[b"new_key"] == b"new_value"

View File

@@ -17,8 +17,9 @@ use pyo3::{
use pyo3_async_runtimes::tokio::future_into_py;
use crate::{
error::PythonErrorExt, namespace::extract_namespace_arc,
storage_options::py_object_to_storage_options_provider, table::Table,
error::PythonErrorExt,
namespace::{create_namespace_storage_options_provider, extract_namespace_arc},
table::Table,
};
#[pyclass]
@@ -87,16 +88,16 @@ impl Connection {
})
}
#[pyo3(signature = (namespace=vec![], start_after=None, limit=None))]
#[pyo3(signature = (namespace_path=None, start_after=None, limit=None))]
pub fn table_names(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
start_after: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let mut op = inner.table_names();
op = op.namespace(namespace);
op = op.namespace(namespace_path.unwrap_or_default());
if let Some(start_after) = start_after {
op = op.start_after(start_after);
}
@@ -107,34 +108,43 @@ impl Connection {
}
#[allow(clippy::too_many_arguments)]
#[pyo3(signature = (name, mode, data, namespace=vec![], storage_options=None, storage_options_provider=None, location=None))]
#[pyo3(signature = (name, mode, data, namespace_path=None, storage_options=None, location=None, namespace_client=None))]
pub fn create_table<'a>(
self_: PyRef<'a, Self>,
name: String,
mode: &str,
data: Bound<'_, PyAny>,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
storage_options: Option<HashMap<String, String>>,
storage_options_provider: Option<Py<PyAny>>,
location: Option<String>,
namespace_client: Option<Py<PyAny>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
let mode = Self::parse_create_mode_str(mode)?;
let batches: Box<dyn arrow::array::RecordBatchReader + Send> =
Box::new(ArrowArrayStreamReader::from_pyarrow_bound(&data)?);
let mut builder = inner.create_table(name, batches).mode(mode);
let ns_path = namespace_path.clone().unwrap_or_default();
let mut builder = inner.create_table(name.clone(), batches).mode(mode);
builder = builder.namespace(namespace);
builder = builder.namespace(ns_path.clone());
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
if let Some(provider_obj) = storage_options_provider {
let provider = py_object_to_storage_options_provider(provider_obj)?;
// Auto-create storage options provider from namespace_client
if let Some(ns_obj) = namespace_client {
let ns_client = extract_namespace_arc(py, ns_obj)?;
// Create table_id by combining namespace_path with table name
let mut table_id = ns_path;
table_id.push(name);
let provider = create_namespace_storage_options_provider(ns_client, table_id);
builder = builder.storage_options_provider(provider);
}
if let Some(location) = location {
builder = builder.location(location);
}
@@ -146,33 +156,44 @@ impl Connection {
}
#[allow(clippy::too_many_arguments)]
#[pyo3(signature = (name, mode, schema, namespace=vec![], storage_options=None, storage_options_provider=None, location=None))]
#[pyo3(signature = (name, mode, schema, namespace_path=None, storage_options=None, location=None, namespace_client=None))]
pub fn create_empty_table<'a>(
self_: PyRef<'a, Self>,
name: String,
mode: &str,
schema: Bound<'_, PyAny>,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
storage_options: Option<HashMap<String, String>>,
storage_options_provider: Option<Py<PyAny>>,
location: Option<String>,
namespace_client: Option<Py<PyAny>>,
) -> PyResult<Bound<'a, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
let mode = Self::parse_create_mode_str(mode)?;
let schema = Schema::from_pyarrow_bound(&schema)?;
let mut builder = inner.create_empty_table(name, Arc::new(schema)).mode(mode);
let ns_path = namespace_path.clone().unwrap_or_default();
let mut builder = inner
.create_empty_table(name.clone(), Arc::new(schema))
.mode(mode);
builder = builder.namespace(namespace);
builder = builder.namespace(ns_path.clone());
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
if let Some(provider_obj) = storage_options_provider {
let provider = py_object_to_storage_options_provider(provider_obj)?;
// Auto-create storage options provider from namespace_client
if let Some(ns_obj) = namespace_client {
let ns_client = extract_namespace_arc(py, ns_obj)?;
// Create table_id by combining namespace_path with table name
let mut table_id = ns_path;
table_id.push(name);
let provider = create_namespace_storage_options_provider(ns_client, table_id);
builder = builder.storage_options_provider(provider);
}
if let Some(location) = location {
builder = builder.location(location);
}
@@ -184,45 +205,44 @@ impl Connection {
}
#[allow(clippy::too_many_arguments)]
#[pyo3(signature = (name, namespace=vec![], storage_options = None, storage_options_provider=None, index_cache_size = None, location=None, namespace_client=None, managed_versioning=None))]
#[pyo3(signature = (name, namespace_path=None, storage_options=None, index_cache_size=None, location=None, namespace_client=None, managed_versioning=None))]
pub fn open_table(
self_: PyRef<'_, Self>,
name: String,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
storage_options: Option<HashMap<String, String>>,
storage_options_provider: Option<Py<PyAny>>,
index_cache_size: Option<u32>,
location: Option<String>,
namespace_client: Option<Py<PyAny>>,
managed_versioning: Option<bool>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
let mut builder = inner.open_table(name);
builder = builder.namespace(namespace.clone());
let ns_path = namespace_path.clone().unwrap_or_default();
let mut builder = inner.open_table(name.clone());
builder = builder.namespace(ns_path.clone());
if let Some(storage_options) = storage_options {
builder = builder.storage_options(storage_options);
}
if let Some(provider_obj) = storage_options_provider {
let provider = py_object_to_storage_options_provider(provider_obj)?;
// Auto-create storage options provider from namespace_client
if let Some(ns_obj) = namespace_client {
let ns_client = extract_namespace_arc(py, ns_obj)?;
// Create table_id by combining namespace_path with table name
let mut table_id = ns_path;
table_id.push(name);
let provider = create_namespace_storage_options_provider(ns_client.clone(), table_id);
builder = builder.storage_options_provider(provider);
builder = builder.namespace_client(ns_client);
}
if let Some(index_cache_size) = index_cache_size {
builder = builder.index_cache_size(index_cache_size);
}
if let Some(location) = location {
builder = builder.location(location);
}
// Extract namespace client from Python object if provided
let ns_client = if let Some(ns_obj) = namespace_client {
let py = self_.py();
Some(extract_namespace_arc(py, ns_obj)?)
} else {
None
};
if let Some(ns_client) = ns_client {
builder = builder.namespace_client(ns_client);
}
// Pass managed_versioning if provided to avoid redundant describe_table call
if let Some(enabled) = managed_versioning {
builder = builder.managed_versioning(enabled);
@@ -234,12 +254,12 @@ impl Connection {
})
}
#[pyo3(signature = (target_table_name, source_uri, target_namespace=vec![], source_version=None, source_tag=None, is_shallow=true))]
#[pyo3(signature = (target_table_name, source_uri, target_namespace_path=None, source_version=None, source_tag=None, is_shallow=true))]
pub fn clone_table(
self_: PyRef<'_, Self>,
target_table_name: String,
source_uri: String,
target_namespace: Vec<String>,
target_namespace_path: Option<Vec<String>>,
source_version: Option<u64>,
source_tag: Option<String>,
is_shallow: bool,
@@ -247,7 +267,7 @@ impl Connection {
let inner = self_.get_inner()?.clone();
let mut builder = inner.clone_table(target_table_name, source_uri);
builder = builder.target_namespace(target_namespace);
builder = builder.target_namespace(target_namespace_path.unwrap_or_default());
if let Some(version) = source_version {
builder = builder.source_version(version);
}
@@ -262,52 +282,56 @@ impl Connection {
})
}
#[pyo3(signature = (cur_name, new_name, cur_namespace=vec![], new_namespace=vec![]))]
#[pyo3(signature = (cur_name, new_name, cur_namespace_path=None, new_namespace_path=None))]
pub fn rename_table(
self_: PyRef<'_, Self>,
cur_name: String,
new_name: String,
cur_namespace: Vec<String>,
new_namespace: Vec<String>,
cur_namespace_path: Option<Vec<String>>,
new_namespace_path: Option<Vec<String>>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let cur_ns_path = cur_namespace_path.unwrap_or_default();
let new_ns_path = new_namespace_path.unwrap_or_default();
future_into_py(self_.py(), async move {
inner
.rename_table(cur_name, new_name, &cur_namespace, &new_namespace)
.rename_table(cur_name, new_name, &cur_ns_path, &new_ns_path)
.await
.infer_error()
})
}
#[pyo3(signature = (name, namespace=vec![]))]
#[pyo3(signature = (name, namespace_path=None))]
pub fn drop_table(
self_: PyRef<'_, Self>,
name: String,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let ns_path = namespace_path.unwrap_or_default();
future_into_py(self_.py(), async move {
inner.drop_table(name, &namespace).await.infer_error()
inner.drop_table(name, &ns_path).await.infer_error()
})
}
#[pyo3(signature = (namespace=vec![],))]
#[pyo3(signature = (namespace_path=None,))]
pub fn drop_all_tables(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let ns_path = namespace_path.unwrap_or_default();
future_into_py(self_.py(), async move {
inner.drop_all_tables(&namespace).await.infer_error()
inner.drop_all_tables(&ns_path).await.infer_error()
})
}
// Namespace management methods
#[pyo3(signature = (namespace=vec![], page_token=None, limit=None))]
#[pyo3(signature = (namespace_path=None, page_token=None, limit=None))]
pub fn list_namespaces(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
page_token: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -316,11 +340,7 @@ impl Connection {
future_into_py(py, async move {
use lance_namespace::models::ListNamespacesRequest;
let request = ListNamespacesRequest {
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
id: namespace_path,
page_token,
limit: limit.map(|l| l as i32),
..Default::default()
@@ -335,10 +355,10 @@ impl Connection {
})
}
#[pyo3(signature = (namespace, mode=None, properties=None))]
#[pyo3(signature = (namespace_path, mode=None, properties=None))]
pub fn create_namespace(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Vec<String>,
mode: Option<String>,
properties: Option<std::collections::HashMap<String, String>>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -354,11 +374,7 @@ impl Connection {
_ => None,
});
let request = CreateNamespaceRequest {
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
id: Some(namespace_path),
mode: mode_str,
properties,
..Default::default()
@@ -372,10 +388,10 @@ impl Connection {
})
}
#[pyo3(signature = (namespace, mode=None, behavior=None))]
#[pyo3(signature = (namespace_path, mode=None, behavior=None))]
pub fn drop_namespace(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Vec<String>,
mode: Option<String>,
behavior: Option<String>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -395,11 +411,7 @@ impl Connection {
_ => None,
});
let request = DropNamespaceRequest {
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
id: Some(namespace_path),
mode: mode_str,
behavior: behavior_str,
..Default::default()
@@ -414,21 +426,17 @@ impl Connection {
})
}
#[pyo3(signature = (namespace,))]
#[pyo3(signature = (namespace_path,))]
pub fn describe_namespace(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Vec<String>,
) -> PyResult<Bound<'_, PyAny>> {
let inner = self_.get_inner()?.clone();
let py = self_.py();
future_into_py(py, async move {
use lance_namespace::models::DescribeNamespaceRequest;
let request = DescribeNamespaceRequest {
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
id: Some(namespace_path),
..Default::default()
};
let response = inner.describe_namespace(request).await.infer_error()?;
@@ -440,10 +448,10 @@ impl Connection {
})
}
#[pyo3(signature = (namespace=vec![], page_token=None, limit=None))]
#[pyo3(signature = (namespace_path=None, page_token=None, limit=None))]
pub fn list_tables(
self_: PyRef<'_, Self>,
namespace: Vec<String>,
namespace_path: Option<Vec<String>>,
page_token: Option<String>,
limit: Option<u32>,
) -> PyResult<Bound<'_, PyAny>> {
@@ -452,11 +460,7 @@ impl Connection {
future_into_py(py, async move {
use lance_namespace::models::ListTablesRequest;
let request = ListTablesRequest {
id: if namespace.is_empty() {
None
} else {
Some(namespace)
},
id: namespace_path,
page_token,
limit: limit.map(|l| l as i32),
..Default::default()

175
python/src/expr.rs Normal file
View File

@@ -0,0 +1,175 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! PyO3 bindings for the LanceDB expression builder API.
//!
//! This module exposes [`PyExpr`] and helper free functions so Python can
//! build type-safe filter / projection expressions that map directly to
//! DataFusion [`Expr`] nodes, bypassing SQL string parsing.
use arrow::{datatypes::DataType, pyarrow::PyArrowType};
use lancedb::expr::{DfExpr, col as ldb_col, contains, expr_cast, lit as df_lit, lower, upper};
use pyo3::{Bound, PyAny, PyResult, exceptions::PyValueError, prelude::*, pyfunction};
/// A type-safe DataFusion expression.
///
/// Instances are constructed via the free functions [`expr_col`] and
/// [`expr_lit`] and combined with the methods on this struct. On the Python
/// side a thin wrapper class (`lancedb.expr.Expr`) delegates to these methods
/// and adds Python operator overloads.
#[pyclass(name = "PyExpr")]
#[derive(Clone)]
pub struct PyExpr(pub DfExpr);
#[pymethods]
impl PyExpr {
// ── comparisons ──────────────────────────────────────────────────────────
fn eq(&self, other: &Self) -> Self {
Self(self.0.clone().eq(other.0.clone()))
}
fn ne(&self, other: &Self) -> Self {
Self(self.0.clone().not_eq(other.0.clone()))
}
fn lt(&self, other: &Self) -> Self {
Self(self.0.clone().lt(other.0.clone()))
}
fn lte(&self, other: &Self) -> Self {
Self(self.0.clone().lt_eq(other.0.clone()))
}
fn gt(&self, other: &Self) -> Self {
Self(self.0.clone().gt(other.0.clone()))
}
fn gte(&self, other: &Self) -> Self {
Self(self.0.clone().gt_eq(other.0.clone()))
}
// ── logical ──────────────────────────────────────────────────────────────
fn and_(&self, other: &Self) -> Self {
Self(self.0.clone().and(other.0.clone()))
}
fn or_(&self, other: &Self) -> Self {
Self(self.0.clone().or(other.0.clone()))
}
fn not_(&self) -> Self {
use std::ops::Not;
Self(self.0.clone().not())
}
// ── arithmetic ───────────────────────────────────────────────────────────
fn add(&self, other: &Self) -> Self {
use std::ops::Add;
Self(self.0.clone().add(other.0.clone()))
}
fn sub(&self, other: &Self) -> Self {
use std::ops::Sub;
Self(self.0.clone().sub(other.0.clone()))
}
fn mul(&self, other: &Self) -> Self {
use std::ops::Mul;
Self(self.0.clone().mul(other.0.clone()))
}
fn div(&self, other: &Self) -> Self {
use std::ops::Div;
Self(self.0.clone().div(other.0.clone()))
}
// ── string functions ─────────────────────────────────────────────────────
/// Convert string column to lowercase.
fn lower(&self) -> Self {
Self(lower(self.0.clone()))
}
/// Convert string column to uppercase.
fn upper(&self) -> Self {
Self(upper(self.0.clone()))
}
/// Test whether the string contains `substr`.
fn contains(&self, substr: &Self) -> Self {
Self(contains(self.0.clone(), substr.0.clone()))
}
// ── type cast ────────────────────────────────────────────────────────────
/// Cast the expression to `data_type`.
///
/// `data_type` must be a PyArrow `DataType` (e.g. `pa.int32()`).
/// On the Python side, `lancedb.expr.Expr.cast` also accepts type name
/// strings via `pa.lib.ensure_type` before forwarding here.
fn cast(&self, data_type: PyArrowType<DataType>) -> Self {
Self(expr_cast(self.0.clone(), data_type.0))
}
// ── utilities ────────────────────────────────────────────────────────────
/// Render the expression as a SQL string (useful for debugging).
fn to_sql(&self) -> PyResult<String> {
lancedb::expr::expr_to_sql_string(&self.0).map_err(|e| PyValueError::new_err(e.to_string()))
}
fn __repr__(&self) -> PyResult<String> {
let sql =
lancedb::expr::expr_to_sql_string(&self.0).unwrap_or_else(|_| "<expr>".to_string());
Ok(format!("PyExpr({})", sql))
}
}
// ── free functions ────────────────────────────────────────────────────────────
/// Create a column reference expression.
///
/// The column name is preserved exactly as given (case-sensitive), so
/// `col("firstName")` correctly references a field named `firstName`.
#[pyfunction]
pub fn expr_col(name: &str) -> PyExpr {
PyExpr(ldb_col(name))
}
/// Create a literal value expression.
///
/// Supported Python types: `bool`, `int`, `float`, `str`.
#[pyfunction]
pub fn expr_lit(value: Bound<'_, PyAny>) -> PyResult<PyExpr> {
// bool must be checked before int because bool is a subclass of int in Python
if let Ok(b) = value.extract::<bool>() {
return Ok(PyExpr(df_lit(b)));
}
if let Ok(i) = value.extract::<i64>() {
return Ok(PyExpr(df_lit(i)));
}
if let Ok(f) = value.extract::<f64>() {
return Ok(PyExpr(df_lit(f)));
}
if let Ok(s) = value.extract::<String>() {
return Ok(PyExpr(df_lit(s)));
}
Err(PyValueError::new_err(format!(
"unsupported literal type: {}. Supported: bool, int, float, str",
value.get_type().name()?
)))
}
/// Call an arbitrary registered SQL function by name.
///
/// See `lancedb::expr::func` for the list of supported function names.
#[pyfunction]
pub fn expr_func(name: &str, args: Vec<PyExpr>) -> PyResult<PyExpr> {
let df_args: Vec<DfExpr> = args.into_iter().map(|e| e.0).collect();
lancedb::expr::func(name, df_args)
.map(PyExpr)
.map_err(|e| PyValueError::new_err(e.to_string()))
}

View File

@@ -4,6 +4,7 @@
use arrow::RecordBatchStream;
use connection::{Connection, connect};
use env_logger::Env;
use expr::{PyExpr, expr_col, expr_func, expr_lit};
use index::IndexConfig;
use permutation::{PyAsyncPermutationBuilder, PyPermutationReader};
use pyo3::{
@@ -21,13 +22,13 @@ use table::{
pub mod arrow;
pub mod connection;
pub mod error;
pub mod expr;
pub mod header;
pub mod index;
pub mod namespace;
pub mod permutation;
pub mod query;
pub mod session;
pub mod storage_options;
pub mod table;
pub mod util;
@@ -55,10 +56,14 @@ pub fn _lancedb(_py: Python, m: &Bound<'_, PyModule>) -> PyResult<()> {
m.add_class::<UpdateResult>()?;
m.add_class::<PyAsyncPermutationBuilder>()?;
m.add_class::<PyPermutationReader>()?;
m.add_class::<PyExpr>()?;
m.add_function(wrap_pyfunction!(connect, m)?)?;
m.add_function(wrap_pyfunction!(permutation::async_permutation_builder, m)?)?;
m.add_function(wrap_pyfunction!(util::validate_table_name, m)?)?;
m.add_function(wrap_pyfunction!(query::fts_query_to_json, m)?)?;
m.add_function(wrap_pyfunction!(expr_col, m)?)?;
m.add_function(wrap_pyfunction!(expr_lit, m)?)?;
m.add_function(wrap_pyfunction!(expr_func, m)?)?;
m.add("__version__", env!("CARGO_PKG_VERSION"))?;
Ok(())
}

View File

@@ -8,6 +8,7 @@ use std::sync::Arc;
use async_trait::async_trait;
use bytes::Bytes;
use lance_io::object_store::{LanceNamespaceStorageOptionsProvider, StorageOptionsProvider};
use lance_namespace::LanceNamespace as LanceNamespaceTrait;
use lance_namespace::models::*;
use pyo3::prelude::*;
@@ -694,3 +695,21 @@ pub fn extract_namespace_arc(
let ns_ref = ns.bind(py);
PyLanceNamespace::create_arc(py, ns_ref)
}
/// Create a LanceNamespaceStorageOptionsProvider from a namespace client and table ID.
///
/// This creates a Rust storage options provider that fetches credentials from the
/// namespace's describe_table() method, enabling automatic credential refresh.
///
/// # Arguments
/// * `namespace_client` - The namespace client (wrapped PyLanceNamespace)
/// * `table_id` - Full table identifier (namespace_path + table_name)
pub fn create_namespace_storage_options_provider(
namespace_client: Arc<dyn LanceNamespaceTrait>,
table_id: Vec<String>,
) -> Arc<dyn StorageOptionsProvider> {
Arc::new(LanceNamespaceStorageOptionsProvider::new(
namespace_client,
table_id,
))
}

View File

@@ -35,12 +35,10 @@ use pyo3::types::PyList;
use pyo3::types::{PyDict, PyString};
use pyo3::{FromPyObject, exceptions::PyRuntimeError};
use pyo3::{PyErr, pyclass};
use pyo3::{
exceptions::{PyNotImplementedError, PyValueError},
intern,
};
use pyo3::{exceptions::PyValueError, intern};
use pyo3_async_runtimes::tokio::future_into_py;
use crate::expr::PyExpr;
use crate::util::parse_distance_type;
use crate::{arrow::RecordBatchStream, util::PyLanceDB};
use crate::{error::PythonErrorExt, index::class_name};
@@ -344,9 +342,13 @@ impl<'py> IntoPyObject<'py> for PyQueryFilter {
fn into_pyobject(self, py: pyo3::Python<'py>) -> PyResult<Self::Output> {
match self.0 {
QueryFilter::Datafusion(_) => Err(PyNotImplementedError::new_err(
"Datafusion filter has no conversion to Python",
)),
QueryFilter::Datafusion(expr) => {
// Serialize the DataFusion expression to a SQL string so that
// callers (e.g. remote tables) see the same format as Sql.
let sql = lancedb::expr::expr_to_sql_string(&expr)
.map_err(|e| PyRuntimeError::new_err(e.to_string()))?;
Ok(sql.into_pyobject(py)?.into_any())
}
QueryFilter::Sql(sql) => Ok(sql.into_pyobject(py)?.into_any()),
QueryFilter::Substrait(substrait) => Ok(substrait.into_pyobject(py)?.into_any()),
}
@@ -370,10 +372,20 @@ impl Query {
self.inner = self.inner.clone().only_if(predicate);
}
pub fn where_expr(&mut self, expr: PyExpr) {
self.inner = self.inner.clone().only_if_expr(expr.0);
}
pub fn select(&mut self, columns: Vec<(String, String)>) {
self.inner = self.inner.clone().select(Select::dynamic(&columns));
}
pub fn select_expr(&mut self, columns: Vec<(String, PyExpr)>) {
let pairs: Vec<(String, lancedb::expr::DfExpr)> =
columns.into_iter().map(|(name, e)| (name, e.0)).collect();
self.inner = self.inner.clone().select(Select::Expr(pairs));
}
pub fn select_columns(&mut self, columns: Vec<String>) {
self.inner = self.inner.clone().select(Select::columns(&columns));
}
@@ -607,10 +619,20 @@ impl FTSQuery {
self.inner = self.inner.clone().only_if(predicate);
}
pub fn where_expr(&mut self, expr: PyExpr) {
self.inner = self.inner.clone().only_if_expr(expr.0);
}
pub fn select(&mut self, columns: Vec<(String, String)>) {
self.inner = self.inner.clone().select(Select::dynamic(&columns));
}
pub fn select_expr(&mut self, columns: Vec<(String, PyExpr)>) {
let pairs: Vec<(String, lancedb::expr::DfExpr)> =
columns.into_iter().map(|(name, e)| (name, e.0)).collect();
self.inner = self.inner.clone().select(Select::Expr(pairs));
}
pub fn select_columns(&mut self, columns: Vec<String>) {
self.inner = self.inner.clone().select(Select::columns(&columns));
}
@@ -725,6 +747,10 @@ impl VectorQuery {
self.inner = self.inner.clone().only_if(predicate);
}
pub fn where_expr(&mut self, expr: PyExpr) {
self.inner = self.inner.clone().only_if_expr(expr.0);
}
pub fn add_query_vector(&mut self, vector: Bound<'_, PyAny>) -> PyResult<()> {
let data: ArrayData = ArrayData::from_pyarrow_bound(&vector)?;
let array = make_array(data);
@@ -736,6 +762,12 @@ impl VectorQuery {
self.inner = self.inner.clone().select(Select::dynamic(&columns));
}
pub fn select_expr(&mut self, columns: Vec<(String, PyExpr)>) {
let pairs: Vec<(String, lancedb::expr::DfExpr)> =
columns.into_iter().map(|(name, e)| (name, e.0)).collect();
self.inner = self.inner.clone().select(Select::Expr(pairs));
}
pub fn select_columns(&mut self, columns: Vec<String>) {
self.inner = self.inner.clone().select(Select::columns(&columns));
}
@@ -890,11 +922,21 @@ impl HybridQuery {
self.inner_fts.r#where(predicate);
}
pub fn where_expr(&mut self, expr: PyExpr) {
self.inner_vec.where_expr(expr.clone());
self.inner_fts.where_expr(expr);
}
pub fn select(&mut self, columns: Vec<(String, String)>) {
self.inner_vec.select(columns.clone());
self.inner_fts.select(columns);
}
pub fn select_expr(&mut self, columns: Vec<(String, PyExpr)>) {
self.inner_vec.select_expr(columns.clone());
self.inner_fts.select_expr(columns);
}
pub fn select_columns(&mut self, columns: Vec<String>) {
self.inner_vec.select_columns(columns.clone());
self.inner_fts.select_columns(columns);

View File

@@ -1,137 +0,0 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! PyO3 bindings for StorageOptionsProvider
//!
//! This module provides the bridge between Python StorageOptionsProvider objects
//! and Rust's StorageOptionsProvider trait, enabling automatic credential refresh.
use std::collections::HashMap;
use std::sync::Arc;
use async_trait::async_trait;
use lance_io::object_store::StorageOptionsProvider;
use pyo3::prelude::*;
use pyo3::types::PyDict;
/// Internal wrapper around a Python object implementing StorageOptionsProvider
pub struct PyStorageOptionsProvider {
/// The Python object implementing fetch_storage_options()
inner: Py<PyAny>,
}
impl Clone for PyStorageOptionsProvider {
fn clone(&self) -> Self {
Python::attach(|py| Self {
inner: self.inner.clone_ref(py),
})
}
}
impl PyStorageOptionsProvider {
pub fn new(obj: Py<PyAny>) -> PyResult<Self> {
Python::attach(|py| {
// Verify the object has a fetch_storage_options method
if !obj.bind(py).hasattr("fetch_storage_options")? {
return Err(pyo3::exceptions::PyTypeError::new_err(
"StorageOptionsProvider must implement fetch_storage_options() method",
));
}
Ok(Self { inner: obj })
})
}
}
/// Wrapper that implements the Rust StorageOptionsProvider trait
pub struct PyStorageOptionsProviderWrapper {
py_provider: PyStorageOptionsProvider,
}
impl PyStorageOptionsProviderWrapper {
pub fn new(py_provider: PyStorageOptionsProvider) -> Self {
Self { py_provider }
}
}
#[async_trait]
impl StorageOptionsProvider for PyStorageOptionsProviderWrapper {
async fn fetch_storage_options(&self) -> lance_core::Result<Option<HashMap<String, String>>> {
// Call Python method from async context using spawn_blocking
let py_provider = self.py_provider.clone();
tokio::task::spawn_blocking(move || {
Python::attach(|py| {
// Call the Python fetch_storage_options method
let result = py_provider
.inner
.bind(py)
.call_method0("fetch_storage_options")
.map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
"Failed to call fetch_storage_options: {}",
e
)))))?;
// If result is None, return None
if result.is_none() {
return Ok(None);
}
// Extract the result dict - should be a flat Map<String, String>
let result_dict = result.downcast::<PyDict>().map_err(|_| {
lance_core::Error::invalid_input(
"fetch_storage_options() must return a dict of string key-value pairs or None",
)
})?;
// Convert all entries to HashMap<String, String>
let mut storage_options = HashMap::new();
for (key, value) in result_dict.iter() {
let key_str: String = key.extract().map_err(|e| {
lance_core::Error::invalid_input(format!("Storage option key must be a string: {}", e))
})?;
let value_str: String = value.extract().map_err(|e| {
lance_core::Error::invalid_input(format!("Storage option value must be a string: {}", e))
})?;
storage_options.insert(key_str, value_str);
}
Ok(Some(storage_options))
})
})
.await
.map_err(|e| lance_core::Error::io_source(Box::new(std::io::Error::other(format!(
"Task join error: {}",
e
)))))?
}
fn provider_id(&self) -> String {
Python::attach(|py| {
// Call provider_id() method on the Python object
let obj = self.py_provider.inner.bind(py);
obj.call_method0("provider_id")
.and_then(|result| result.extract::<String>())
.unwrap_or_else(|e| {
// If provider_id() fails, construct a fallback ID
format!("PyStorageOptionsProvider(error: {})", e)
})
})
}
}
impl std::fmt::Debug for PyStorageOptionsProviderWrapper {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
write!(f, "PyStorageOptionsProviderWrapper({})", self.provider_id())
}
}
/// Convert a Python object to an Arc<dyn StorageOptionsProvider>
///
/// This is the main entry point for converting Python StorageOptionsProvider objects
/// to Rust trait objects that can be used by the Lance ecosystem.
pub fn py_object_to_storage_options_provider(
py_obj: Py<PyAny>,
) -> PyResult<Arc<dyn StorageOptionsProvider>> {
let py_provider = PyStorageOptionsProvider::new(py_obj)?;
Ok(Arc::new(PyStorageOptionsProviderWrapper::new(py_provider)))
}

View File

@@ -19,7 +19,7 @@ use lancedb::table::{
Table as LanceDbTable,
};
use pyo3::{
Bound, FromPyObject, PyAny, PyRef, PyResult, Python,
Bound, FromPyObject, Py, PyAny, PyRef, PyResult, Python,
exceptions::{PyKeyError, PyRuntimeError, PyValueError},
pyclass, pymethods,
types::{IntoPyDict, PyAnyMethods, PyDict, PyDictMethods},
@@ -299,10 +299,12 @@ impl Table {
})
}
#[pyo3(signature = (data, mode, progress=None))]
pub fn add<'a>(
self_: PyRef<'a, Self>,
data: PyScannable,
mode: String,
progress: Option<Py<PyAny>>,
) -> PyResult<Bound<'a, PyAny>> {
let mut op = self_.inner_ref()?.add(data);
if mode == "append" {
@@ -312,6 +314,81 @@ impl Table {
} else {
return Err(PyValueError::new_err(format!("Invalid mode: {}", mode)));
}
if let Some(progress_obj) = progress {
let is_callable = Python::attach(|py| progress_obj.bind(py).is_callable());
if is_callable {
// Callback: call with a dict of progress info.
op = op.progress(move |p| {
Python::attach(|py| {
let dict = PyDict::new(py);
if let Err(e) = dict
.set_item("output_rows", p.output_rows())
.and_then(|_| dict.set_item("output_bytes", p.output_bytes()))
.and_then(|_| dict.set_item("total_rows", p.total_rows()))
.and_then(|_| {
dict.set_item("elapsed_seconds", p.elapsed().as_secs_f64())
})
.and_then(|_| dict.set_item("active_tasks", p.active_tasks()))
.and_then(|_| dict.set_item("total_tasks", p.total_tasks()))
.and_then(|_| dict.set_item("done", p.done()))
{
log::warn!("progress dict error: {e}");
return;
}
if let Err(e) = progress_obj.call1(py, (dict,)) {
log::warn!("progress callback error: {e}");
}
});
});
} else {
// tqdm-like: has update() method.
let mut last_rows: usize = 0;
let mut total_set = false;
op = op.progress(move |p| {
let current = p.output_rows();
let prev = last_rows;
last_rows = current;
Python::attach(|py| {
if let Some(total) = p.total_rows()
&& !total_set
{
if let Err(e) = progress_obj.setattr(py, "total", total) {
log::warn!("progress setattr error: {e}");
}
total_set = true;
}
let delta = current.saturating_sub(prev);
if delta > 0 {
if let Err(e) = progress_obj.call_method1(py, "update", (delta,)) {
log::warn!("progress update error: {e}");
}
// Show throughput and active workers in tqdm postfix.
let elapsed = p.elapsed().as_secs_f64();
if elapsed > 0.0 {
let mb_per_sec = p.output_bytes() as f64 / elapsed / 1_000_000.0;
let postfix = format!(
"{:.1} MB/s | {}/{} workers",
mb_per_sec,
p.active_tasks(),
p.total_tasks()
);
if let Err(e) =
progress_obj.call_method1(py, "set_postfix_str", (postfix,))
{
log::warn!("progress set_postfix_str error: {e}");
}
}
}
if p.done() {
// Force a final refresh so the bar shows completion.
if let Err(e) = progress_obj.call_method0(py, "refresh") {
log::warn!("progress refresh error: {e}");
}
}
});
});
}
}
future_into_py(self_.py(), async move {
let result = op.execute().await.infer_error()?;

387
python/tests/test_expr.py Normal file
View File

@@ -0,0 +1,387 @@
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: Copyright The LanceDB Authors
"""Tests for the type-safe expression builder API."""
import pytest
import pyarrow as pa
import lancedb
from lancedb.expr import Expr, col, lit, func
# ── unit tests for Expr construction ─────────────────────────────────────────
class TestExprConstruction:
def test_col_returns_expr(self):
e = col("age")
assert isinstance(e, Expr)
def test_lit_int(self):
e = lit(42)
assert isinstance(e, Expr)
def test_lit_float(self):
e = lit(3.14)
assert isinstance(e, Expr)
def test_lit_str(self):
e = lit("hello")
assert isinstance(e, Expr)
def test_lit_bool(self):
e = lit(True)
assert isinstance(e, Expr)
def test_lit_unsupported_type_raises(self):
with pytest.raises(Exception):
lit([1, 2, 3])
def test_func(self):
e = func("lower", col("name"))
assert isinstance(e, Expr)
assert e.to_sql() == "lower(name)"
def test_func_unknown_raises(self):
with pytest.raises(Exception):
func("not_a_real_function", col("x"))
class TestExprOperators:
def test_eq_operator(self):
e = col("x") == lit(1)
assert isinstance(e, Expr)
assert e.to_sql() == "(x = 1)"
def test_ne_operator(self):
e = col("x") != lit(1)
assert isinstance(e, Expr)
assert e.to_sql() == "(x <> 1)"
def test_lt_operator(self):
e = col("age") < lit(18)
assert isinstance(e, Expr)
assert e.to_sql() == "(age < 18)"
def test_le_operator(self):
e = col("age") <= lit(18)
assert isinstance(e, Expr)
assert e.to_sql() == "(age <= 18)"
def test_gt_operator(self):
e = col("age") > lit(18)
assert isinstance(e, Expr)
assert e.to_sql() == "(age > 18)"
def test_ge_operator(self):
e = col("age") >= lit(18)
assert isinstance(e, Expr)
assert e.to_sql() == "(age >= 18)"
def test_and_operator(self):
e = (col("age") > lit(18)) & (col("status") == lit("active"))
assert isinstance(e, Expr)
assert e.to_sql() == "((age > 18) AND (status = 'active'))"
def test_or_operator(self):
e = (col("a") == lit(1)) | (col("b") == lit(2))
assert isinstance(e, Expr)
assert e.to_sql() == "((a = 1) OR (b = 2))"
def test_invert_operator(self):
e = ~(col("active") == lit(True))
assert isinstance(e, Expr)
assert e.to_sql() == "NOT (active = true)"
def test_add_operator(self):
e = col("x") + lit(1)
assert isinstance(e, Expr)
assert e.to_sql() == "(x + 1)"
def test_sub_operator(self):
e = col("x") - lit(1)
assert isinstance(e, Expr)
assert e.to_sql() == "(x - 1)"
def test_mul_operator(self):
e = col("price") * lit(1.1)
assert isinstance(e, Expr)
assert e.to_sql() == "(price * 1.1)"
def test_div_operator(self):
e = col("total") / lit(2)
assert isinstance(e, Expr)
assert e.to_sql() == "(total / 2)"
def test_radd(self):
e = lit(1) + col("x")
assert isinstance(e, Expr)
assert e.to_sql() == "(1 + x)"
def test_rmul(self):
e = lit(2) * col("x")
assert isinstance(e, Expr)
assert e.to_sql() == "(2 * x)"
def test_coerce_plain_int(self):
# Operators should auto-wrap plain Python values via lit()
e = col("age") > 18
assert isinstance(e, Expr)
assert e.to_sql() == "(age > 18)"
def test_coerce_plain_str(self):
e = col("name") == "alice"
assert isinstance(e, Expr)
assert e.to_sql() == "(name = 'alice')"
class TestExprStringMethods:
def test_lower(self):
e = col("name").lower()
assert isinstance(e, Expr)
assert e.to_sql() == "lower(name)"
def test_upper(self):
e = col("name").upper()
assert isinstance(e, Expr)
assert e.to_sql() == "upper(name)"
def test_contains(self):
e = col("text").contains(lit("hello"))
assert isinstance(e, Expr)
assert e.to_sql() == "contains(text, 'hello')"
def test_contains_with_str_coerce(self):
e = col("text").contains("hello")
assert isinstance(e, Expr)
assert e.to_sql() == "contains(text, 'hello')"
def test_chained_lower_eq(self):
e = col("name").lower() == lit("alice")
assert isinstance(e, Expr)
assert e.to_sql() == "(lower(name) = 'alice')"
class TestExprCast:
def test_cast_string(self):
e = col("id").cast("string")
assert isinstance(e, Expr)
assert e.to_sql() == "CAST(id AS VARCHAR)"
def test_cast_int32(self):
e = col("score").cast("int32")
assert isinstance(e, Expr)
assert e.to_sql() == "CAST(score AS INTEGER)"
def test_cast_float64(self):
e = col("val").cast("float64")
assert isinstance(e, Expr)
assert e.to_sql() == "CAST(val AS DOUBLE)"
def test_cast_pyarrow_type(self):
e = col("score").cast(pa.int32())
assert isinstance(e, Expr)
assert e.to_sql() == "CAST(score AS INTEGER)"
def test_cast_pyarrow_float64(self):
e = col("val").cast(pa.float64())
assert isinstance(e, Expr)
assert e.to_sql() == "CAST(val AS DOUBLE)"
def test_cast_pyarrow_string(self):
e = col("id").cast(pa.string())
assert isinstance(e, Expr)
assert e.to_sql() == "CAST(id AS VARCHAR)"
def test_cast_pyarrow_and_string_equivalent(self):
# pa.int32() and "int32" should produce equivalent SQL
sql_str = col("x").cast("int32").to_sql()
sql_pa = col("x").cast(pa.int32()).to_sql()
assert sql_str == sql_pa
class TestExprNamedMethods:
def test_eq_method(self):
e = col("x").eq(lit(1))
assert isinstance(e, Expr)
assert e.to_sql() == "(x = 1)"
def test_gt_method(self):
e = col("x").gt(lit(0))
assert isinstance(e, Expr)
assert e.to_sql() == "(x > 0)"
def test_and_method(self):
e = col("x").gt(lit(0)).and_(col("y").lt(lit(10)))
assert isinstance(e, Expr)
assert e.to_sql() == "((x > 0) AND (y < 10))"
def test_or_method(self):
e = col("x").eq(lit(1)).or_(col("x").eq(lit(2)))
assert isinstance(e, Expr)
assert e.to_sql() == "((x = 1) OR (x = 2))"
class TestExprRepr:
def test_repr(self):
e = col("age") > lit(18)
assert repr(e) == "Expr((age > 18))"
def test_to_sql(self):
e = col("age") > 18
assert e.to_sql() == "(age > 18)"
def test_unhashable(self):
e = col("x")
with pytest.raises(TypeError):
{e: 1}
# ── integration tests: end-to-end query against a real table ─────────────────
@pytest.fixture
def simple_table(tmp_path):
db = lancedb.connect(str(tmp_path))
data = pa.table(
{
"id": [1, 2, 3, 4, 5],
"name": ["Alice", "Bob", "Charlie", "alice", "BOB"],
"age": [25, 17, 30, 22, 15],
"score": [1.5, 2.0, 3.5, 4.0, 0.5],
}
)
return db.create_table("test", data)
class TestExprFilter:
def test_simple_gt_filter(self, simple_table):
result = simple_table.search().where(col("age") > lit(20)).to_arrow()
assert result.num_rows == 3 # ages 25, 30, 22
def test_compound_and_filter(self, simple_table):
result = (
simple_table.search()
.where((col("age") > lit(18)) & (col("score") > lit(2.0)))
.to_arrow()
)
assert result.num_rows == 2 # (30, 3.5) and (22, 4.0)
def test_string_equality_filter(self, simple_table):
result = simple_table.search().where(col("name") == lit("Bob")).to_arrow()
assert result.num_rows == 1
def test_or_filter(self, simple_table):
result = (
simple_table.search()
.where((col("age") < lit(18)) | (col("age") > lit(28)))
.to_arrow()
)
assert result.num_rows == 3 # ages 17, 30, 15
def test_coercion_no_lit(self, simple_table):
# Python values should be auto-coerced
result = simple_table.search().where(col("age") > 20).to_arrow()
assert result.num_rows == 3
def test_string_sql_still_works(self, simple_table):
# Backwards compatibility: plain strings still accepted
result = simple_table.search().where("age > 20").to_arrow()
assert result.num_rows == 3
class TestExprProjection:
def test_select_with_expr(self, simple_table):
result = (
simple_table.search()
.select({"double_score": col("score") * lit(2)})
.to_arrow()
)
assert "double_score" in result.schema.names
def test_select_mixed_str_and_expr(self, simple_table):
result = (
simple_table.search()
.select({"id": "id", "double_score": col("score") * lit(2)})
.to_arrow()
)
assert "id" in result.schema.names
assert "double_score" in result.schema.names
def test_select_list_of_columns(self, simple_table):
# Plain list of str still works
result = simple_table.search().select(["id", "name"]).to_arrow()
assert result.schema.names == ["id", "name"]
# ── column name edge cases ────────────────────────────────────────────────────
class TestColNaming:
"""Unit tests verifying that col() preserves identifiers exactly.
Identifiers that need quoting (camelCase, spaces, leading digits, unicode)
are wrapped in backticks to match the lance SQL parser's dialect.
"""
def test_camel_case_preserved_in_sql(self):
# camelCase is quoted with backticks so the case round-trips correctly.
assert col("firstName").to_sql() == "`firstName`"
def test_camel_case_in_expression(self):
assert (col("firstName") > lit(18)).to_sql() == "(`firstName` > 18)"
def test_space_in_name_quoted(self):
assert col("first name").to_sql() == "`first name`"
def test_space_in_expression(self):
assert (col("first name") == lit("A")).to_sql() == "(`first name` = 'A')"
def test_leading_digit_quoted(self):
assert col("2fast").to_sql() == "`2fast`"
def test_unicode_quoted(self):
assert col("名前").to_sql() == "`名前`"
def test_snake_case_unquoted(self):
# Plain snake_case needs no quoting.
assert col("first_name").to_sql() == "first_name"
@pytest.fixture
def special_col_table(tmp_path):
db = lancedb.connect(str(tmp_path))
data = pa.table(
{
"firstName": ["Alice", "Bob", "Charlie"],
"first name": ["A", "B", "C"],
"score": [10, 20, 30],
}
)
return db.create_table("special", data)
class TestColNamingIntegration:
def test_camel_case_filter(self, special_col_table):
result = (
special_col_table.search()
.where(col("firstName") == lit("Alice"))
.to_arrow()
)
assert result.num_rows == 1
assert result["firstName"][0].as_py() == "Alice"
def test_space_in_col_filter(self, special_col_table):
result = (
special_col_table.search().where(col("first name") == lit("B")).to_arrow()
)
assert result.num_rows == 1
def test_camel_case_projection(self, special_col_table):
result = (
special_col_table.search()
.select({"upper_name": col("firstName").upper()})
.to_arrow()
)
assert "upper_name" in result.schema.names
assert sorted(result["upper_name"].to_pylist()) == ["ALICE", "BOB", "CHARLIE"]

301
python/uv.lock generated
View File

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[[package]]
@@ -3767,7 +3770,7 @@ crypto = [
[[package]]
name = "pylance"
version = "2.0.0"
version = "4.0.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "lance-namespace" },
@@ -3776,12 +3779,12 @@ dependencies = [
{ name = "pyarrow" },
]
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[[package]]

View File

@@ -1,6 +1,6 @@
[package]
name = "lancedb"
version = "0.27.0-beta.5"
version = "0.28.0-beta.0"
edition.workspace = true
description = "LanceDB: A serverless, low-latency vector database for AI applications"
license.workspace = true

View File

@@ -101,9 +101,9 @@ impl TableNamesBuilder {
self
}
/// Set the namespace to list tables from
pub fn namespace(mut self, namespace: Vec<String>) -> Self {
self.request.namespace = namespace;
/// Set the namespace path to list tables from
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.namespace_path = namespace_path;
self
}
@@ -131,7 +131,7 @@ impl OpenTableBuilder {
parent,
request: OpenTableRequest {
name,
namespace: vec![],
namespace_path: vec![],
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -206,9 +206,9 @@ impl OpenTableBuilder {
self
}
/// Set the namespace for the table
pub fn namespace(mut self, namespace: Vec<String>) -> Self {
self.request.namespace = namespace;
/// Set the namespace path for the table
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.namespace_path = namespace_path;
self
}
@@ -303,9 +303,9 @@ impl CloneTableBuilder {
self
}
/// Set the target namespace for the cloned table
pub fn target_namespace(mut self, namespace: Vec<String>) -> Self {
self.request.target_namespace = namespace;
/// Set the target namespace path for the cloned table
pub fn target_namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.target_namespace_path = namespace_path;
self
}
@@ -456,15 +456,15 @@ impl Connection {
&self,
old_name: impl AsRef<str>,
new_name: impl AsRef<str>,
cur_namespace: &[String],
new_namespace: &[String],
cur_namespace_path: &[String],
new_namespace_path: &[String],
) -> Result<()> {
self.internal
.rename_table(
old_name.as_ref(),
new_name.as_ref(),
cur_namespace,
new_namespace,
cur_namespace_path,
new_namespace_path,
)
.await
}
@@ -478,9 +478,11 @@ impl Connection {
///
/// # Arguments
/// * `name` - The name of the table to drop
/// * `namespace` - The namespace to drop the table from
pub async fn drop_table(&self, name: impl AsRef<str>, namespace: &[String]) -> Result<()> {
self.internal.drop_table(name.as_ref(), namespace).await
/// * `namespace_path` - The namespace path to drop the table from
pub async fn drop_table(&self, name: impl AsRef<str>, namespace_path: &[String]) -> Result<()> {
self.internal
.drop_table(name.as_ref(), namespace_path)
.await
}
/// Drop the database
@@ -494,9 +496,9 @@ impl Connection {
/// Drops all tables in the database
///
/// # Arguments
/// * `namespace` - The namespace to drop all tables from. Empty slice represents root namespace.
pub async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
self.internal.drop_all_tables(namespace).await
/// * `namespace_path` - The namespace path to drop all tables from. Empty slice represents root namespace.
pub async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
self.internal.drop_all_tables(namespace_path).await
}
/// List immediate child namespace names in the given namespace
@@ -596,11 +598,8 @@ pub struct ConnectBuilder {
}
#[cfg(feature = "remote")]
const ENV_VARS_TO_STORAGE_OPTS: [(&str, &str); 3] = [
("AZURE_STORAGE_ACCOUNT_NAME", "azure_storage_account_name"),
("AZURE_CLIENT_ID", "azure_client_id"),
("AZURE_TENANT_ID", "azure_tenant_id"),
];
const ENV_VARS_TO_STORAGE_OPTS: [(&str, &str); 1] =
[("AZURE_STORAGE_ACCOUNT_NAME", "azure_storage_account_name")];
impl ConnectBuilder {
/// Create a new [`ConnectOptions`] with the given database URI.
@@ -865,6 +864,21 @@ pub fn connect(uri: &str) -> ConnectBuilder {
ConnectBuilder::new(uri)
}
use std::collections::HashSet;
/// Operations that can be pushed down to the namespace server.
///
/// These operations will be executed on the namespace server instead of locally
/// when enabled via [`ConnectNamespaceBuilder::pushdown_operations`].
#[derive(Debug, Clone, Copy, PartialEq, Eq, Hash)]
pub enum PushdownOperation {
/// Execute queries on the namespace server via `query_table()` instead of locally.
QueryTable,
/// Execute table creation on the namespace server via `create_table()`
/// instead of using `declare_table` + local write.
CreateTable,
}
pub struct ConnectNamespaceBuilder {
ns_impl: String,
properties: HashMap<String, String>,
@@ -872,7 +886,7 @@ pub struct ConnectNamespaceBuilder {
read_consistency_interval: Option<std::time::Duration>,
embedding_registry: Option<Arc<dyn EmbeddingRegistry>>,
session: Option<Arc<lance::session::Session>>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
}
impl ConnectNamespaceBuilder {
@@ -884,7 +898,7 @@ impl ConnectNamespaceBuilder {
read_consistency_interval: None,
embedding_registry: None,
session: None,
server_side_query_enabled: false,
pushdown_operations: HashSet::new(),
}
}
@@ -939,15 +953,30 @@ impl ConnectNamespaceBuilder {
self
}
/// Enable server-side query execution.
/// Add operations to push down to the namespace server.
///
/// When enabled, queries will be executed on the namespace server instead of
/// locally. This can improve performance by reducing data transfer and
/// leveraging server-side compute resources.
/// When operations are added, they will be executed on the namespace server
/// instead of locally. This can improve performance by reducing data transfer
/// and leveraging server-side compute resources.
///
/// Default is `false` (queries executed locally).
pub fn server_side_query(mut self, enabled: bool) -> Self {
self.server_side_query_enabled = enabled;
/// Available operations:
/// - [`PushdownOperation::QueryTable`]: Execute queries via `namespace.query_table()`
/// - [`PushdownOperation::CreateTable`]: Execute table creation via `namespace.create_table()`
///
/// By default, no operations are pushed down (all executed locally).
pub fn pushdown_operation(mut self, operation: PushdownOperation) -> Self {
self.pushdown_operations.insert(operation);
self
}
/// Add multiple operations to push down to the namespace server.
///
/// See [`Self::pushdown_operation`] for details.
pub fn pushdown_operations(
mut self,
operations: impl IntoIterator<Item = PushdownOperation>,
) -> Self {
self.pushdown_operations.extend(operations);
self
}
@@ -962,7 +991,7 @@ impl ConnectNamespaceBuilder {
self.storage_options,
self.read_consistency_interval,
self.session,
self.server_side_query_enabled,
self.pushdown_operations,
)
.await?,
);

View File

@@ -111,9 +111,9 @@ impl CreateTableBuilder {
Ok(self)
}
/// Set the namespace for the table
pub fn namespace(mut self, namespace: Vec<String>) -> Self {
self.request.namespace = namespace;
/// Set the namespace path for the table
pub fn namespace(mut self, namespace_path: Vec<String>) -> Self {
self.request.namespace_path = namespace_path;
self
}

View File

@@ -40,8 +40,8 @@ pub trait DatabaseOptions {
/// A request to list names of tables in the database (deprecated, use ListTablesRequest)
#[derive(Clone, Debug, Default)]
pub struct TableNamesRequest {
/// The namespace to list tables in. Empty list represents root namespace.
pub namespace: Vec<String>,
/// The namespace path to list tables in. Empty list represents root namespace.
pub namespace_path: Vec<String>,
/// If present, only return names that come lexicographically after the supplied
/// value.
///
@@ -56,8 +56,8 @@ pub struct TableNamesRequest {
#[derive(Clone)]
pub struct OpenTableRequest {
pub name: String,
/// The namespace to open the table from. Empty list represents root namespace.
pub namespace: Vec<String>,
/// The namespace path to open the table from. Empty list represents root namespace.
pub namespace_path: Vec<String>,
pub index_cache_size: Option<u32>,
pub lance_read_params: Option<ReadParams>,
/// Optional custom location for the table. If not provided, the database will
@@ -76,7 +76,7 @@ impl std::fmt::Debug for OpenTableRequest {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("OpenTableRequest")
.field("name", &self.name)
.field("namespace", &self.namespace)
.field("namespace_path", &self.namespace_path)
.field("index_cache_size", &self.index_cache_size)
.field("lance_read_params", &self.lance_read_params)
.field("location", &self.location)
@@ -115,8 +115,8 @@ impl CreateTableMode {
pub struct CreateTableRequest {
/// The name of the new table
pub name: String,
/// The namespace to create the table in. Empty list represents root namespace.
pub namespace: Vec<String>,
/// The namespace path to create the table in. Empty list represents root namespace.
pub namespace_path: Vec<String>,
/// Initial data to write to the table, can be empty.
pub data: Box<dyn Scannable>,
/// The mode to use when creating the table
@@ -135,7 +135,7 @@ impl CreateTableRequest {
pub fn new(name: String, data: Box<dyn Scannable>) -> Self {
Self {
name,
namespace: vec![],
namespace_path: vec![],
data,
mode: CreateTableMode::default(),
write_options: WriteOptions::default(),
@@ -155,8 +155,8 @@ impl CreateTableRequest {
pub struct CloneTableRequest {
/// The name of the target table to create
pub target_table_name: String,
/// The namespace for the target table. Empty list represents root namespace.
pub target_namespace: Vec<String>,
/// The namespace path for the target table. Empty list represents root namespace.
pub target_namespace_path: Vec<String>,
/// The URI of the source table to clone from.
pub source_uri: String,
/// Optional version of the source table to clone.
@@ -175,7 +175,7 @@ impl CloneTableRequest {
pub fn new(target_table_name: String, source_uri: String) -> Self {
Self {
target_table_name,
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -251,13 +251,13 @@ pub trait Database:
&self,
cur_name: &str,
new_name: &str,
cur_namespace: &[String],
new_namespace: &[String],
cur_namespace_path: &[String],
new_namespace_path: &[String],
) -> Result<()>;
/// Drop a table in the database
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()>;
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()>;
/// Drop all tables in the database
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()>;
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()>;
fn as_any(&self) -> &dyn std::any::Any;
/// Get the equivalent namespace client of this database

View File

@@ -3,6 +3,7 @@
//! Provides the `ListingDatabase`, a simple database where tables are folders in a directory
use std::collections::HashSet;
use std::fs::create_dir_all;
use std::path::Path;
use std::{collections::HashMap, sync::Arc};
@@ -653,7 +654,7 @@ impl ListingDatabase {
async fn handle_table_exists(
&self,
table_name: &str,
namespace: Vec<String>,
namespace_path: Vec<String>,
mode: CreateTableMode,
data_schema: &arrow_schema::Schema,
) -> Result<Arc<dyn BaseTable>> {
@@ -664,7 +665,7 @@ impl ListingDatabase {
CreateTableMode::ExistOk(callback) => {
let req = OpenTableRequest {
name: table_name.to_string(),
namespace: namespace.clone(),
namespace_path: namespace_path.clone(),
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -751,7 +752,7 @@ impl Database for ListingDatabase {
}
async fn table_names(&self, request: TableNamesRequest) -> Result<Vec<String>> {
if !request.namespace.is_empty() {
if !request.namespace_path.is_empty() {
return Err(Error::NotSupported {
message: "Namespace parameter is not supported for listing database. Only root namespace is supported.".into(),
});
@@ -838,7 +839,7 @@ impl Database for ListingDatabase {
async fn create_table(&self, request: CreateTableRequest) -> Result<Arc<dyn BaseTable>> {
// When namespace is not empty, location must be provided
if !request.namespace.is_empty() && request.location.is_none() {
if !request.namespace_path.is_empty() && request.location.is_none() {
return Err(Error::InvalidInput {
message: "Location must be provided when namespace is not empty".into(),
});
@@ -864,13 +865,13 @@ impl Database for ListingDatabase {
match NativeTable::create(
&table_uri,
&request.name,
request.namespace.clone(),
request.namespace_path.clone(),
request.data,
self.store_wrapper.clone(),
Some(write_params),
self.read_consistency_interval,
request.namespace_client,
false, // server_side_query_enabled - listing database doesn't support server-side queries
HashSet::new(), // listing database doesn't support server-side queries
)
.await
{
@@ -878,7 +879,7 @@ impl Database for ListingDatabase {
Err(Error::TableAlreadyExists { .. }) => {
self.handle_table_exists(
&request.name,
request.namespace.clone(),
request.namespace_path.clone(),
request.mode,
&data_schema,
)
@@ -889,7 +890,7 @@ impl Database for ListingDatabase {
}
async fn clone_table(&self, request: CloneTableRequest) -> Result<Arc<dyn BaseTable>> {
if !request.target_namespace.is_empty() {
if !request.target_namespace_path.is_empty() {
return Err(Error::NotSupported {
message: "Namespace parameter is not supported for listing database. Only root namespace is supported.".into(),
});
@@ -944,13 +945,13 @@ impl Database for ListingDatabase {
let cloned_table = NativeTable::open_with_params(
&target_uri,
&request.target_table_name,
request.target_namespace,
request.target_namespace_path,
self.store_wrapper.clone(),
None,
self.read_consistency_interval,
request.namespace_client,
false, // server_side_query_enabled - listing database doesn't support server-side queries
None, // managed_versioning - will be queried if namespace_client is provided
HashSet::new(), // listing database doesn't support server-side queries
None, // managed_versioning - will be queried if namespace_client is provided
)
.await?;
@@ -959,7 +960,7 @@ impl Database for ListingDatabase {
async fn open_table(&self, mut request: OpenTableRequest) -> Result<Arc<dyn BaseTable>> {
// When namespace is not empty, location must be provided
if !request.namespace.is_empty() && request.location.is_none() {
if !request.namespace_path.is_empty() && request.location.is_none() {
return Err(Error::InvalidInput {
message: "Location must be provided when namespace is not empty".into(),
});
@@ -1021,12 +1022,12 @@ impl Database for ListingDatabase {
NativeTable::open_with_params(
&table_uri,
&request.name,
request.namespace,
request.namespace_path,
self.store_wrapper.clone(),
Some(read_params),
self.read_consistency_interval,
request.namespace_client,
false, // server_side_query_enabled - listing database doesn't support server-side queries
HashSet::new(), // listing database doesn't support server-side queries
request.managed_versioning, // Pass through managed_versioning from request
)
.await?,
@@ -1038,15 +1039,15 @@ impl Database for ListingDatabase {
&self,
_cur_name: &str,
_new_name: &str,
cur_namespace: &[String],
new_namespace: &[String],
cur_namespace_path: &[String],
new_namespace_path: &[String],
) -> Result<()> {
if !cur_namespace.is_empty() {
if !cur_namespace_path.is_empty() {
return Err(Error::NotSupported {
message: "Namespace parameter is not supported for listing database.".into(),
});
}
if !new_namespace.is_empty() {
if !new_namespace_path.is_empty() {
return Err(Error::NotSupported {
message: "Namespace parameter is not supported for listing database.".into(),
});
@@ -1056,8 +1057,8 @@ impl Database for ListingDatabase {
})
}
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()> {
if !namespace.is_empty() {
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()> {
if !namespace_path.is_empty() {
return Err(Error::NotSupported {
message: "Namespace parameter is not supported for listing database.".into(),
});
@@ -1066,9 +1067,9 @@ impl Database for ListingDatabase {
}
#[allow(deprecated)]
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
// Check if namespace parameter is provided
if !namespace.is_empty() {
if !namespace_path.is_empty() {
return Err(Error::NotSupported {
message: "Namespace parameter is not supported for listing database.".into(),
});
@@ -1146,7 +1147,7 @@ mod tests {
let source_table = db
.create_table(CreateTableRequest {
name: "source_table".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema.clone())) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1163,7 +1164,7 @@ mod tests {
let cloned_table = db
.clone_table(CloneTableRequest {
target_table_name: "cloned_table".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri: source_uri.clone(),
source_version: None,
source_tag: None,
@@ -1208,7 +1209,7 @@ mod tests {
let source_table = db
.create_table(CreateTableRequest {
name: "source_with_data".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1224,7 +1225,7 @@ mod tests {
let cloned_table = db
.clone_table(CloneTableRequest {
target_table_name: "cloned_with_data".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -1268,7 +1269,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1284,7 +1285,7 @@ mod tests {
let cloned = db
.clone_table(CloneTableRequest {
target_table_name: "cloned".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -1305,7 +1306,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1321,7 +1322,7 @@ mod tests {
let result = db
.clone_table(CloneTableRequest {
target_table_name: "cloned".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -1346,7 +1347,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1362,7 +1363,7 @@ mod tests {
let result = db
.clone_table(CloneTableRequest {
target_table_name: "cloned".to_string(),
target_namespace: vec!["namespace".to_string()], // Non-empty namespace
target_namespace_path: vec!["namespace".to_string()], // Non-empty namespace
source_uri,
source_version: None,
source_tag: None,
@@ -1387,7 +1388,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1403,7 +1404,7 @@ mod tests {
let result = db
.clone_table(CloneTableRequest {
target_table_name: "invalid/name".to_string(), // Invalid name with slash
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -1423,7 +1424,7 @@ mod tests {
let result = db
.clone_table(CloneTableRequest {
target_table_name: "cloned".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri: "/nonexistent/table.lance".to_string(),
source_version: None,
source_tag: None,
@@ -1444,7 +1445,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1460,7 +1461,7 @@ mod tests {
let result = db
.clone_table(CloneTableRequest {
target_table_name: "cloned".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: Some(1),
source_tag: Some("v1.0".to_string()),
@@ -1498,7 +1499,7 @@ mod tests {
let source_table = db
.create_table(CreateTableRequest {
name: "versioned_source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch1) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1534,7 +1535,7 @@ mod tests {
let cloned_table = db
.clone_table(CloneTableRequest {
target_table_name: "cloned_from_version".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: Some(initial_version),
source_tag: None,
@@ -1573,7 +1574,7 @@ mod tests {
let source_table = db
.create_table(CreateTableRequest {
name: "tagged_source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch1),
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1613,7 +1614,7 @@ mod tests {
let cloned_table = db
.clone_table(CloneTableRequest {
target_table_name: "cloned_from_tag".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: Some("v1.0".to_string()),
@@ -1649,7 +1650,7 @@ mod tests {
let source_table = db
.create_table(CreateTableRequest {
name: "independent_source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch1),
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1665,7 +1666,7 @@ mod tests {
let cloned_table = db
.clone_table(CloneTableRequest {
target_table_name: "independent_clone".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -1725,7 +1726,7 @@ mod tests {
let source_table = db
.create_table(CreateTableRequest {
name: "latest_version_source".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch1),
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1758,7 +1759,7 @@ mod tests {
let cloned_table = db
.clone_table(CloneTableRequest {
target_table_name: "cloned_latest".to_string(),
target_namespace: vec![],
target_namespace_path: vec![],
source_uri,
source_version: None,
source_tag: None,
@@ -1812,7 +1813,7 @@ mod tests {
let table = db
.create_table(CreateTableRequest {
name: "test_stable".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch),
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -1863,7 +1864,7 @@ mod tests {
let table = db
.create_table(CreateTableRequest {
name: "test_stable_table_level".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch),
mode: CreateTableMode::Create,
write_options,
@@ -1934,7 +1935,7 @@ mod tests {
let table = db
.create_table(CreateTableRequest {
name: "test_override".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(batch),
mode: CreateTableMode::Create,
write_options,
@@ -2052,7 +2053,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "table1".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema.clone())) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),
@@ -2064,7 +2065,7 @@ mod tests {
db.create_table(CreateTableRequest {
name: "table2".to_string(),
namespace: vec![],
namespace_path: vec![],
data: Box::new(RecordBatch::new_empty(schema)) as Box<dyn Scannable>,
mode: CreateTableMode::Create,
write_options: Default::default(),

View File

@@ -3,7 +3,7 @@
//! Namespace-based database implementation that delegates table management to lance-namespace
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::sync::Arc;
use async_trait::async_trait;
@@ -22,6 +22,7 @@ use lance_namespace_impls::ConnectBuilder;
use lance_table::io::commit::CommitHandler;
use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
use crate::connection::PushdownOperation;
use crate::database::ReadConsistency;
use crate::error::{Error, Result};
use crate::table::NativeTable;
@@ -42,8 +43,8 @@ pub struct LanceNamespaceDatabase {
session: Option<Arc<lance::session::Session>>,
// database URI
uri: String,
// Whether to enable server-side query execution
server_side_query_enabled: bool,
// Operations to push down to the namespace server
pushdown_operations: HashSet<PushdownOperation>,
}
impl LanceNamespaceDatabase {
@@ -53,7 +54,7 @@ impl LanceNamespaceDatabase {
storage_options: HashMap<String, String>,
read_consistency_interval: Option<std::time::Duration>,
session: Option<Arc<lance::session::Session>>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
) -> Result<Self> {
let mut builder = ConnectBuilder::new(ns_impl);
for (key, value) in ns_properties.clone() {
@@ -72,7 +73,7 @@ impl LanceNamespaceDatabase {
read_consistency_interval,
session,
uri: format!("namespace://{}", ns_impl),
server_side_query_enabled,
pushdown_operations,
})
}
}
@@ -82,7 +83,7 @@ impl std::fmt::Debug for LanceNamespaceDatabase {
f.debug_struct("LanceNamespaceDatabase")
.field("storage_options", &self.storage_options)
.field("read_consistency_interval", &self.read_consistency_interval)
.field("server_side_query_enabled", &self.server_side_query_enabled)
.field("pushdown_operations", &self.pushdown_operations)
.finish()
}
}
@@ -138,7 +139,7 @@ impl Database for LanceNamespaceDatabase {
async fn table_names(&self, request: TableNamesRequest) -> Result<Vec<String>> {
let ns_request = ListTablesRequest {
id: Some(request.namespace),
id: Some(request.namespace_path),
page_token: request.start_after,
limit: request.limit.map(|l| l as i32),
..Default::default()
@@ -154,7 +155,7 @@ impl Database for LanceNamespaceDatabase {
}
async fn create_table(&self, request: DbCreateTableRequest) -> Result<Arc<dyn BaseTable>> {
let mut table_id = request.namespace.clone();
let mut table_id = request.namespace_path.clone();
table_id.push(request.name.clone());
let describe_request = DescribeTableRequest {
id: Some(table_id.clone()),
@@ -191,11 +192,11 @@ impl Database for LanceNamespaceDatabase {
let native_table = NativeTable::open_from_namespace(
self.namespace.clone(),
&request.name,
request.namespace.clone(),
request.namespace_path.clone(),
None,
None,
self.read_consistency_interval,
self.server_side_query_enabled,
self.pushdown_operations.clone(),
self.session.clone(),
)
.await?;
@@ -205,7 +206,7 @@ impl Database for LanceNamespaceDatabase {
}
}
let mut table_id = request.namespace.clone();
let mut table_id = request.namespace_path.clone();
table_id.push(request.name.clone());
let declare_request = DeclareTableRequest {
@@ -255,12 +256,12 @@ impl Database for LanceNamespaceDatabase {
self.namespace.clone(),
&location,
&request.name,
request.namespace.clone(),
request.namespace_path.clone(),
request.data,
None, // write_store_wrapper not used for namespace connections
write_params,
self.read_consistency_interval,
self.server_side_query_enabled,
self.pushdown_operations.clone(),
self.session.clone(),
)
.await?;
@@ -272,11 +273,11 @@ impl Database for LanceNamespaceDatabase {
let native_table = NativeTable::open_from_namespace(
self.namespace.clone(),
&request.name,
request.namespace.clone(),
request.namespace_path.clone(),
None, // write_store_wrapper not used for namespace connections
request.lance_read_params,
self.read_consistency_interval,
self.server_side_query_enabled,
self.pushdown_operations.clone(),
self.session.clone(),
)
.await?;
@@ -294,16 +295,16 @@ impl Database for LanceNamespaceDatabase {
&self,
_cur_name: &str,
_new_name: &str,
_cur_namespace: &[String],
_new_namespace: &[String],
_cur_namespace_path: &[String],
_new_namespace_path: &[String],
) -> Result<()> {
Err(Error::NotSupported {
message: "rename_table is not supported for namespace connections".to_string(),
})
}
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()> {
let mut table_id = namespace.to_vec();
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()> {
let mut table_id = namespace_path.to_vec();
table_id.push(name.to_string());
let drop_request = DropTableRequest {
@@ -321,17 +322,17 @@ impl Database for LanceNamespaceDatabase {
}
#[allow(deprecated)]
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
let tables = self
.table_names(TableNamesRequest {
namespace: namespace.to_vec(),
namespace_path: namespace_path.to_vec(),
start_after: None,
limit: None,
})
.await?;
for table in tables {
self.drop_table(&table, namespace).await?;
self.drop_table(&table, namespace_path).await?;
}
Ok(())

View File

@@ -240,7 +240,7 @@ impl Shuffler {
.await?;
// Need to read the entire file in a single batch for in-memory shuffling
let batch = reader.read_record_batch(0, reader.num_rows()).await?;
let mut rng = rng.lock().unwrap();
let mut rng = rng.lock().unwrap_or_else(|e| e.into_inner());
Self::shuffle_batch(&batch, &mut rng, clump_size)
}
})

View File

@@ -27,7 +27,17 @@ use arrow_schema::DataType;
use datafusion_expr::{Expr, ScalarUDF, expr_fn::cast};
use datafusion_functions::string::expr_fn as string_expr_fn;
pub use datafusion_expr::{col, lit};
pub use datafusion_expr::lit;
/// Create a column reference expression, preserving the name exactly as given.
///
/// Unlike DataFusion's built-in [`col`][datafusion_expr::col], this function
/// does **not** normalise the identifier to lower-case, so
/// `col("firstName")` correctly references a field named `firstName`.
pub fn col(name: impl Into<String>) -> DfExpr {
use datafusion_common::Column;
DfExpr::Column(Column::new_unqualified(name))
}
pub use datafusion_expr::Expr as DfExpr;

View File

@@ -2,11 +2,37 @@
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
use datafusion_expr::Expr;
use datafusion_sql::unparser;
use datafusion_sql::unparser::{self, dialect::Dialect};
/// Unparser dialect that matches the quoting style expected by the Lance SQL
/// parser. Lance uses backtick (`` ` ``) as the only delimited-identifier
/// quote character, so we must produce `` `firstName` `` rather than
/// `"firstName"` for identifiers that require quoting.
///
/// We quote an identifier when it:
/// * is a SQL reserved word, OR
/// * contains characters outside `[a-zA-Z0-9_]`, OR
/// * starts with a digit, OR
/// * contains upper-case letters (unquoted identifiers are normalised to
/// lower-case by the SQL parser, which would break case-sensitive schemas).
struct LanceSqlDialect;
impl Dialect for LanceSqlDialect {
fn identifier_quote_style(&self, identifier: &str) -> Option<char> {
let needs_quote = identifier.chars().any(|c| c.is_ascii_uppercase())
|| !identifier
.chars()
.enumerate()
.all(|(i, c)| c == '_' || c.is_ascii_alphabetic() || (i > 0 && c.is_ascii_digit()));
if needs_quote { Some('`') } else { None }
}
}
pub fn expr_to_sql_string(expr: &Expr) -> crate::Result<String> {
let ast = unparser::expr_to_sql(expr).map_err(|e| crate::Error::InvalidInput {
message: format!("failed to serialize expression to SQL: {}", e),
})?;
let ast = unparser::Unparser::new(&LanceSqlDialect)
.expr_to_sql(expr)
.map_err(|e| crate::Error::InvalidInput {
message: format!("failed to serialize expression to SQL: {}", e),
})?;
Ok(ast.to_string())
}

View File

@@ -66,13 +66,13 @@ impl IoTrackingStore {
}
fn record_read(&self, num_bytes: u64) {
let mut stats = self.stats.lock().unwrap();
let mut stats = self.stats.lock().unwrap_or_else(|e| e.into_inner());
stats.read_iops += 1;
stats.read_bytes += num_bytes;
}
fn record_write(&self, num_bytes: u64) {
let mut stats = self.stats.lock().unwrap();
let mut stats = self.stats.lock().unwrap_or_else(|e| e.into_inner());
stats.write_iops += 1;
stats.write_bytes += num_bytes;
}
@@ -229,10 +229,63 @@ impl MultipartUpload for IoTrackingMultipartUpload {
fn put_part(&mut self, payload: PutPayload) -> UploadPart {
{
let mut stats = self.stats.lock().unwrap();
let mut stats = self.stats.lock().unwrap_or_else(|e| e.into_inner());
stats.write_iops += 1;
stats.write_bytes += payload.content_length() as u64;
}
self.target.put_part(payload)
}
}
#[cfg(test)]
mod tests {
use super::*;
/// Helper: poison a Mutex<IoStats> by panicking while holding the lock.
fn poison_stats(stats: &Arc<Mutex<IoStats>>) {
let stats_clone = stats.clone();
let handle = std::thread::spawn(move || {
let _guard = stats_clone.lock().unwrap();
panic!("intentional panic to poison stats mutex");
});
let _ = handle.join();
assert!(stats.lock().is_err(), "mutex should be poisoned");
}
#[test]
fn test_record_read_recovers_from_poisoned_lock() {
let stats = Arc::new(Mutex::new(IoStats::default()));
let store = IoTrackingStore {
target: Arc::new(object_store::memory::InMemory::new()),
stats: stats.clone(),
};
poison_stats(&stats);
// record_read should not panic
store.record_read(1024);
// Verify the stats were updated despite poisoning
let s = stats.lock().unwrap_or_else(|e| e.into_inner());
assert_eq!(s.read_iops, 1);
assert_eq!(s.read_bytes, 1024);
}
#[test]
fn test_record_write_recovers_from_poisoned_lock() {
let stats = Arc::new(Mutex::new(IoStats::default()));
let store = IoTrackingStore {
target: Arc::new(object_store::memory::InMemory::new()),
stats: stats.clone(),
};
poison_stats(&stats);
// record_write should not panic
store.record_write(2048);
let s = stats.lock().unwrap_or_else(|e| e.into_inner());
assert_eq!(s.write_iops, 1);
assert_eq!(s.write_bytes, 2048);
}
}

View File

@@ -5,7 +5,7 @@ use std::sync::Arc;
use std::{future::Future, time::Duration};
use arrow::compute::concat_batches;
use arrow_array::{Array, Float16Array, Float32Array, Float64Array, make_array};
use arrow_array::{Array, Float16Array, Float32Array, Float64Array, RecordBatch, make_array};
use arrow_schema::{DataType, SchemaRef};
use datafusion_expr::Expr;
use datafusion_physical_plan::ExecutionPlan;
@@ -17,15 +17,17 @@ use lance_datafusion::exec::execute_plan;
use lance_index::scalar::FullTextSearchQuery;
use lance_index::scalar::inverted::SCORE_COL;
use lance_index::vector::DIST_COL;
use lance_io::stream::RecordBatchStreamAdapter;
use crate::DistanceType;
use crate::error::{Error, Result};
use crate::rerankers::rrf::RRFReranker;
use crate::rerankers::{NormalizeMethod, Reranker, check_reranker_result};
use crate::table::BaseTable;
use crate::utils::TimeoutStream;
use crate::{arrow::SendableRecordBatchStream, table::AnyQuery};
use crate::utils::{MaxBatchLengthStream, TimeoutStream};
use crate::{
arrow::{SendableRecordBatchStream, SimpleRecordBatchStream},
table::AnyQuery,
};
mod hybrid;
@@ -604,6 +606,14 @@ impl Default for QueryExecutionOptions {
}
}
impl QueryExecutionOptions {
fn without_output_batch_length_limit(&self) -> Self {
let mut options = self.clone();
options.max_batch_length = 0;
options
}
}
/// A trait for a query object that can be executed to get results
///
/// There are various kinds of queries but they all return results
@@ -1180,6 +1190,8 @@ impl VectorQuery {
&self,
options: QueryExecutionOptions,
) -> Result<SendableRecordBatchStream> {
let max_batch_length = options.max_batch_length as usize;
let internal_options = options.without_output_batch_length_limit();
// clone query and specify we want to include row IDs, which can be needed for reranking
let mut fts_query = Query::new(self.parent.clone());
fts_query.request = self.request.base.clone();
@@ -1189,8 +1201,8 @@ impl VectorQuery {
vector_query.request.base.full_text_search = None;
let (fts_results, vec_results) = try_join!(
fts_query.execute_with_options(options.clone()),
vector_query.inner_execute_with_options(options)
fts_query.execute_with_options(internal_options.clone()),
vector_query.inner_execute_with_options(internal_options)
)?;
let (fts_results, vec_results) = try_join!(
@@ -1245,9 +1257,7 @@ impl VectorQuery {
results = results.drop_column(ROW_ID)?;
}
Ok(SendableRecordBatchStream::from(
RecordBatchStreamAdapter::new(results.schema(), stream::iter([Ok(results)])),
))
Ok(single_batch_stream(results, max_batch_length))
}
async fn inner_execute_with_options(
@@ -1256,6 +1266,7 @@ impl VectorQuery {
) -> Result<SendableRecordBatchStream> {
let plan = self.create_plan(options.clone()).await?;
let inner = execute_plan(plan, Default::default())?;
let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
let inner = if let Some(timeout) = options.timeout {
TimeoutStream::new_boxed(inner, timeout)
} else {
@@ -1265,6 +1276,25 @@ impl VectorQuery {
}
}
fn single_batch_stream(batch: RecordBatch, max_batch_length: usize) -> SendableRecordBatchStream {
let schema = batch.schema();
if max_batch_length == 0 || batch.num_rows() <= max_batch_length {
return Box::pin(SimpleRecordBatchStream::new(
stream::iter([Ok(batch)]),
schema,
));
}
let mut batches = Vec::with_capacity(batch.num_rows().div_ceil(max_batch_length));
let mut offset = 0;
while offset < batch.num_rows() {
let length = (batch.num_rows() - offset).min(max_batch_length);
batches.push(Ok(batch.slice(offset, length)));
offset += length;
}
Box::pin(SimpleRecordBatchStream::new(stream::iter(batches), schema))
}
impl ExecutableQuery for VectorQuery {
async fn create_plan(&self, options: QueryExecutionOptions) -> Result<Arc<dyn ExecutionPlan>> {
let query = AnyQuery::VectorQuery(self.request.clone());
@@ -1753,6 +1783,50 @@ mod tests {
.unwrap()
}
async fn make_large_vector_table(tmp_dir: &tempfile::TempDir, rows: usize) -> Table {
let dataset_path = tmp_dir.path().join("large_test.lance");
let uri = dataset_path.to_str().unwrap();
let schema = Arc::new(ArrowSchema::new(vec![
ArrowField::new("id", DataType::Utf8, false),
ArrowField::new(
"vector",
DataType::FixedSizeList(
Arc::new(ArrowField::new("item", DataType::Float32, true)),
4,
),
false,
),
]));
let ids = StringArray::from_iter_values((0..rows).map(|i| format!("row-{i}")));
let vectors = FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
(0..rows).map(|i| Some(vec![Some(i as f32), Some(1.0), Some(2.0), Some(3.0)])),
4,
);
let batch =
RecordBatch::try_new(schema.clone(), vec![Arc::new(ids), Arc::new(vectors)]).unwrap();
let conn = connect(uri).execute().await.unwrap();
conn.create_table("my_table", vec![batch])
.execute()
.await
.unwrap()
}
async fn assert_stream_batches_at_most(
mut results: SendableRecordBatchStream,
max_batch_length: usize,
) {
let mut saw_batch = false;
while let Some(batch) = results.next().await {
let batch = batch.unwrap();
saw_batch = true;
assert!(batch.num_rows() <= max_batch_length);
}
assert!(saw_batch);
}
#[tokio::test]
async fn test_execute_with_options() {
let tmp_dir = tempdir().unwrap();
@@ -1772,6 +1846,83 @@ mod tests {
}
}
#[tokio::test]
async fn test_vector_query_execute_with_options_respects_max_batch_length() {
let tmp_dir = tempdir().unwrap();
let table = make_large_vector_table(&tmp_dir, 10_000).await;
let results = table
.query()
.nearest_to(vec![0.0, 1.0, 2.0, 3.0])
.unwrap()
.limit(10_000)
.execute_with_options(QueryExecutionOptions {
max_batch_length: 100,
..Default::default()
})
.await
.unwrap();
assert_stream_batches_at_most(results, 100).await;
}
#[tokio::test]
async fn test_hybrid_query_execute_with_options_respects_max_batch_length() {
let tmp_dir = tempdir().unwrap();
let dataset_path = tmp_dir.path();
let conn = connect(dataset_path.to_str().unwrap())
.execute()
.await
.unwrap();
let dims = 2;
let rows = 512;
let schema = Arc::new(ArrowSchema::new(vec![
ArrowField::new("text", DataType::Utf8, false),
ArrowField::new(
"vector",
DataType::FixedSizeList(
Arc::new(ArrowField::new("item", DataType::Float32, true)),
dims,
),
false,
),
]));
let text = StringArray::from_iter_values((0..rows).map(|_| "match"));
let vectors = FixedSizeListArray::from_iter_primitive::<Float32Type, _, _>(
(0..rows).map(|i| Some(vec![Some(i as f32), Some(0.0)])),
dims,
);
let record_batch =
RecordBatch::try_new(schema.clone(), vec![Arc::new(text), Arc::new(vectors)]).unwrap();
let table = conn
.create_table("my_table", record_batch)
.execute()
.await
.unwrap();
table
.create_index(&["text"], crate::index::Index::FTS(Default::default()))
.replace(true)
.execute()
.await
.unwrap();
let results = table
.query()
.full_text_search(FullTextSearchQuery::new("match".to_string()))
.limit(rows)
.nearest_to(&[0.0, 0.0])
.unwrap()
.execute_with_options(QueryExecutionOptions {
max_batch_length: 100,
..Default::default()
})
.await
.unwrap();
assert_stream_batches_at_most(results, 100).await;
}
#[tokio::test]
async fn test_analyze_plan() {
let tmp_dir = tempdir().unwrap();

View File

@@ -443,23 +443,13 @@ impl<S: HttpSend> RestfulLanceDbClient<S> {
})?,
);
}
// Map azure storage options to x-azure-* headers.
// The option key uses underscores (e.g. "azure_client_id") while the
// header uses hyphens (e.g. "x-azure-client-id").
let azure_opts: [(&str, &str); 3] = [
("azure_storage_account_name", "x-azure-storage-account-name"),
("azure_client_id", "x-azure-client-id"),
("azure_tenant_id", "x-azure-tenant-id"),
];
for (opt_key, header_name) in azure_opts {
if let Some(v) = options.0.get(opt_key) {
headers.insert(
HeaderName::from_static(header_name),
HeaderValue::from_str(v).map_err(|_| Error::InvalidInput {
message: format!("non-ascii value '{}' for option '{}'", v, opt_key),
})?,
);
}
if let Some(v) = options.0.get("azure_storage_account_name") {
headers.insert(
HeaderName::from_static("x-azure-storage-account-name"),
HeaderValue::from_str(v).map_err(|_| Error::InvalidInput {
message: format!("non-ascii storage account name '{}' provided", db_name),
})?,
);
}
for (key, value) in &config.extra_headers {
@@ -1082,34 +1072,4 @@ mod tests {
_ => panic!("Expected Runtime error"),
}
}
#[test]
fn test_default_headers_azure_opts() {
let mut opts = HashMap::new();
opts.insert(
"azure_storage_account_name".to_string(),
"myaccount".to_string(),
);
opts.insert("azure_client_id".to_string(), "my-client-id".to_string());
opts.insert("azure_tenant_id".to_string(), "my-tenant-id".to_string());
let remote_opts = RemoteOptions::new(opts);
let headers = RestfulLanceDbClient::<Sender>::default_headers(
"test-key",
"us-east-1",
"testdb",
false,
&remote_opts,
None,
&ClientConfig::default(),
)
.unwrap();
assert_eq!(
headers.get("x-azure-storage-account-name").unwrap(),
"myaccount"
);
assert_eq!(headers.get("x-azure-client-id").unwrap(), "my-client-id");
assert_eq!(headers.get("x-azure-tenant-id").unwrap(), "my-tenant-id");
}
}

View File

@@ -72,6 +72,10 @@ impl ServerVersion {
pub fn support_structural_fts(&self) -> bool {
self.0 >= semver::Version::new(0, 3, 0)
}
pub fn support_multipart_write(&self) -> bool {
self.0 >= semver::Version::new(0, 4, 0)
}
}
pub const OPT_REMOTE_PREFIX: &str = "remote_database_";
@@ -358,9 +362,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
async fn table_names(&self, request: TableNamesRequest) -> Result<Vec<String>> {
let mut req = if !request.namespace.is_empty() {
let mut req = if !request.namespace_path.is_empty() {
let namespace_id =
build_namespace_identifier(&request.namespace, &self.client.id_delimiter);
build_namespace_identifier(&request.namespace_path, &self.client.id_delimiter);
self.client
.get(&format!("/v1/namespace/{}/table/list", namespace_id))
} else {
@@ -383,12 +387,12 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
.tables;
for table in &tables {
let table_identifier =
build_table_identifier(table, &request.namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(table, &request.namespace);
build_table_identifier(table, &request.namespace_path, &self.client.id_delimiter);
let cache_key = build_cache_key(table, &request.namespace_path);
let remote_table = Arc::new(RemoteTable::new(
self.client.clone(),
table.clone(),
request.namespace.clone(),
request.namespace_path.clone(),
table_identifier.clone(),
version.clone(),
));
@@ -438,8 +442,11 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
async fn create_table(&self, mut request: CreateTableRequest) -> Result<Arc<dyn BaseTable>> {
let body = stream_as_body(request.data.scan_as_stream())?;
let identifier =
build_table_identifier(&request.name, &request.namespace, &self.client.id_delimiter);
let identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&self.client.id_delimiter,
);
let req = self
.client
.post(&format!("/v1/table/{}/create/", identifier))
@@ -459,7 +466,7 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
CreateTableMode::ExistOk(callback) => {
let req = OpenTableRequest {
name: request.name.clone(),
namespace: request.namespace.clone(),
namespace_path: request.namespace_path.clone(),
index_cache_size: None,
lance_read_params: None,
location: None,
@@ -491,13 +498,16 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
let rsp = self.client.check_response(&request_id, rsp).await?;
let version = parse_server_version(&request_id, &rsp)?;
let table_identifier =
build_table_identifier(&request.name, &request.namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(&request.name, &request.namespace);
let table_identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&self.client.id_delimiter,
);
let cache_key = build_cache_key(&request.name, &request.namespace_path);
let table = Arc::new(RemoteTable::new(
self.client.clone(),
request.name.clone(),
request.namespace.clone(),
request.namespace_path.clone(),
table_identifier,
version,
));
@@ -509,7 +519,7 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
async fn clone_table(&self, request: CloneTableRequest) -> Result<Arc<dyn BaseTable>> {
let table_identifier = build_table_identifier(
&request.target_table_name,
&request.target_namespace,
&request.target_namespace_path,
&self.client.id_delimiter,
);
@@ -538,11 +548,11 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
let version = parse_server_version(&request_id, &rsp)?;
let cache_key = build_cache_key(&request.target_table_name, &request.target_namespace);
let cache_key = build_cache_key(&request.target_table_name, &request.target_namespace_path);
let table = Arc::new(RemoteTable::new(
self.client.clone(),
request.target_table_name.clone(),
request.target_namespace.clone(),
request.target_namespace_path.clone(),
table_identifier,
version,
));
@@ -552,9 +562,12 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
}
async fn open_table(&self, request: OpenTableRequest) -> Result<Arc<dyn BaseTable>> {
let identifier =
build_table_identifier(&request.name, &request.namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(&request.name, &request.namespace);
let identifier = build_table_identifier(
&request.name,
&request.namespace_path,
&self.client.id_delimiter,
);
let cache_key = build_cache_key(&request.name, &request.namespace_path);
// We describe the table to confirm it exists before moving on.
if let Some(table) = self.table_cache.get(&cache_key).await {
@@ -570,17 +583,17 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
let version = parse_server_version(&request_id, &rsp)?;
let table_identifier = build_table_identifier(
&request.name,
&request.namespace,
&request.namespace_path,
&self.client.id_delimiter,
);
let table = Arc::new(RemoteTable::new(
self.client.clone(),
request.name.clone(),
request.namespace.clone(),
request.namespace_path.clone(),
table_identifier,
version,
));
let cache_key = build_cache_key(&request.name, &request.namespace);
let cache_key = build_cache_key(&request.name, &request.namespace_path);
self.table_cache.insert(cache_key, table.clone()).await;
Ok(table)
}
@@ -590,18 +603,18 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
&self,
current_name: &str,
new_name: &str,
cur_namespace: &[String],
new_namespace: &[String],
cur_namespace_path: &[String],
new_namespace_path: &[String],
) -> Result<()> {
let current_identifier =
build_table_identifier(current_name, cur_namespace, &self.client.id_delimiter);
let current_cache_key = build_cache_key(current_name, cur_namespace);
let new_cache_key = build_cache_key(new_name, new_namespace);
build_table_identifier(current_name, cur_namespace_path, &self.client.id_delimiter);
let current_cache_key = build_cache_key(current_name, cur_namespace_path);
let new_cache_key = build_cache_key(new_name, new_namespace_path);
let mut body = serde_json::json!({ "new_table_name": new_name });
if !new_namespace.is_empty() {
if !new_namespace_path.is_empty() {
body["new_namespace"] = serde_json::Value::Array(
new_namespace
new_namespace_path
.iter()
.map(|s| serde_json::Value::String(s.clone()))
.collect(),
@@ -620,9 +633,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
Ok(())
}
async fn drop_table(&self, name: &str, namespace: &[String]) -> Result<()> {
let identifier = build_table_identifier(name, namespace, &self.client.id_delimiter);
let cache_key = build_cache_key(name, namespace);
async fn drop_table(&self, name: &str, namespace_path: &[String]) -> Result<()> {
let identifier = build_table_identifier(name, namespace_path, &self.client.id_delimiter);
let cache_key = build_cache_key(name, namespace_path);
let req = self.client.post(&format!("/v1/table/{}/drop/", identifier));
let (request_id, resp) = self.client.send(req).await?;
self.client.check_response(&request_id, resp).await?;
@@ -630,9 +643,9 @@ impl<S: HttpSend> Database for RemoteDatabase<S> {
Ok(())
}
async fn drop_all_tables(&self, namespace: &[String]) -> Result<()> {
async fn drop_all_tables(&self, namespace_path: &[String]) -> Result<()> {
// TODO: Implement namespace-aware drop_all_tables
let _namespace = namespace; // Suppress unused warning for now
let _namespace_path = namespace_path; // Suppress unused warning for now
Err(crate::Error::NotSupported {
message: "Dropping all tables is not currently supported in the remote API".to_string(),
})
@@ -778,12 +791,7 @@ impl RemoteOptions {
impl From<StorageOptions> for RemoteOptions {
fn from(options: StorageOptions) -> Self {
let supported_opts = vec![
"account_name",
"azure_storage_account_name",
"azure_client_id",
"azure_tenant_id",
];
let supported_opts = vec!["account_name", "azure_storage_account_name"];
let mut filtered = HashMap::new();
for opt in supported_opts {
if let Some(v) = options.0.get(opt) {

File diff suppressed because it is too large Load Diff

View File

@@ -11,10 +11,14 @@ use arrow_ipc::CompressionType;
use datafusion_common::{DataFusionError, Result as DataFusionResult};
use datafusion_execution::{SendableRecordBatchStream, TaskContext};
use datafusion_physical_expr::EquivalenceProperties;
use datafusion_physical_plan::metrics::{ExecutionPlanMetricsSet, MetricsSet};
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
use datafusion_physical_plan::{DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties};
use datafusion_physical_plan::{
DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
};
use futures::StreamExt;
use http::header::CONTENT_TYPE;
use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter;
use crate::Error;
use crate::remote::ARROW_STREAM_CONTENT_TYPE;
@@ -22,13 +26,16 @@ use crate::remote::client::{HttpSend, RestfulLanceDbClient, Sender};
use crate::remote::table::RemoteTable;
use crate::table::AddResult;
use crate::table::datafusion::insert::COUNT_SCHEMA;
use crate::table::write_progress::WriteProgressTracker;
/// ExecutionPlan for inserting data into a remote LanceDB table.
///
/// This plan:
/// 1. Requires single partition (no parallel remote inserts yet)
/// 2. Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint
/// 3. Stores AddResult for retrieval after execution
/// Streams data as Arrow IPC to `/v1/table/{id}/insert/` endpoint.
///
/// When `upload_id` is set, inserts are staged as part of a multipart write
/// session and the plan supports multiple partitions for parallel uploads.
/// Without `upload_id`, the plan requires a single partition and commits
/// immediately.
#[derive(Debug)]
pub struct RemoteInsertExec<S: HttpSend = Sender> {
table_name: String,
@@ -38,21 +45,69 @@ pub struct RemoteInsertExec<S: HttpSend = Sender> {
overwrite: bool,
properties: PlanProperties,
add_result: Arc<Mutex<Option<AddResult>>>,
metrics: ExecutionPlanMetricsSet,
upload_id: Option<String>,
tracker: Option<Arc<WriteProgressTracker>>,
}
impl<S: HttpSend + 'static> RemoteInsertExec<S> {
/// Create a new RemoteInsertExec.
/// Create a new single-partition RemoteInsertExec.
pub fn new(
table_name: String,
identifier: String,
client: RestfulLanceDbClient<S>,
input: Arc<dyn ExecutionPlan>,
overwrite: bool,
tracker: Option<Arc<WriteProgressTracker>>,
) -> Self {
Self::new_inner(
table_name, identifier, client, input, overwrite, None, tracker,
)
}
/// Create a multi-partition RemoteInsertExec for use with multipart writes.
///
/// Each partition's insert is staged under the given `upload_id` without
/// committing. The caller is responsible for calling the complete (or abort)
/// endpoint after all partitions finish.
pub fn new_multipart(
table_name: String,
identifier: String,
client: RestfulLanceDbClient<S>,
input: Arc<dyn ExecutionPlan>,
overwrite: bool,
upload_id: String,
tracker: Option<Arc<WriteProgressTracker>>,
) -> Self {
Self::new_inner(
table_name,
identifier,
client,
input,
overwrite,
Some(upload_id),
tracker,
)
}
fn new_inner(
table_name: String,
identifier: String,
client: RestfulLanceDbClient<S>,
input: Arc<dyn ExecutionPlan>,
overwrite: bool,
upload_id: Option<String>,
tracker: Option<Arc<WriteProgressTracker>>,
) -> Self {
let num_partitions = if upload_id.is_some() {
input.output_partitioning().partition_count()
} else {
1
};
let schema = COUNT_SCHEMA.clone();
let properties = PlanProperties::new(
EquivalenceProperties::new(schema),
datafusion_physical_plan::Partitioning::UnknownPartitioning(1),
datafusion_physical_plan::Partitioning::UnknownPartitioning(num_partitions),
datafusion_physical_plan::execution_plan::EmissionType::Final,
datafusion_physical_plan::execution_plan::Boundedness::Bounded,
);
@@ -65,6 +120,9 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
overwrite,
properties,
add_result: Arc::new(Mutex::new(None)),
metrics: ExecutionPlanMetricsSet::new(),
upload_id,
tracker,
}
}
@@ -72,7 +130,10 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
// TODO: this will be used when we wire this up to Table::add().
#[allow(dead_code)]
pub fn add_result(&self) -> Option<AddResult> {
self.add_result.lock().unwrap().clone()
self.add_result
.lock()
.unwrap_or_else(|e| e.into_inner())
.clone()
}
/// Stream the input into an HTTP body as an Arrow IPC stream, capturing any
@@ -83,6 +144,7 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
fn stream_as_http_body(
data: SendableRecordBatchStream,
error_tx: tokio::sync::oneshot::Sender<DataFusionError>,
tracker: Option<Arc<WriteProgressTracker>>,
) -> DataFusionResult<reqwest::Body> {
let options = arrow_ipc::writer::IpcWriteOptions::default()
.try_with_compression(Some(CompressionType::LZ4_FRAME))?;
@@ -94,37 +156,46 @@ impl<S: HttpSend + 'static> RemoteInsertExec<S> {
let stream = futures::stream::try_unfold(
(data, writer, Some(error_tx), false),
move |(mut data, mut writer, error_tx, finished)| async move {
if finished {
return Ok(None);
}
match data.next().await {
Some(Ok(batch)) => {
writer
.write(&batch)
.map_err(|e| std::io::Error::other(e.to_string()))?;
let buffer = std::mem::take(writer.get_mut());
Ok(Some((buffer, (data, writer, error_tx, false))))
move |(mut data, mut writer, error_tx, finished)| {
let tracker = tracker.clone();
async move {
if finished {
return Ok(None);
}
Some(Err(e)) => {
// Send the original error through the channel before
// returning a generic error to reqwest.
if let Some(tx) = error_tx {
let _ = tx.send(e);
match data.next().await {
Some(Ok(batch)) => {
writer
.write(&batch)
.map_err(|e| std::io::Error::other(e.to_string()))?;
let buffer = std::mem::take(writer.get_mut());
if let Some(ref t) = tracker {
t.record_bytes(buffer.len());
}
Ok(Some((buffer, (data, writer, error_tx, false))))
}
Err(std::io::Error::other(
"input stream error (see error channel)",
))
}
None => {
writer
.finish()
.map_err(|e| std::io::Error::other(e.to_string()))?;
let buffer = std::mem::take(writer.get_mut());
if buffer.is_empty() {
Ok(None)
} else {
Ok(Some((buffer, (data, writer, None, true))))
Some(Err(e)) => {
// Send the original error through the channel before
// returning a generic error to reqwest.
if let Some(tx) = error_tx {
let _ = tx.send(e);
}
Err(std::io::Error::other(
"input stream error (see error channel)",
))
}
None => {
writer
.finish()
.map_err(|e| std::io::Error::other(e.to_string()))?;
let buffer = std::mem::take(writer.get_mut());
if buffer.is_empty() {
Ok(None)
} else {
if let Some(ref t) = tracker {
t.record_bytes(buffer.len());
}
Ok(Some((buffer, (data, writer, None, true))))
}
}
}
}
@@ -174,8 +245,11 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
}
fn required_input_distribution(&self) -> Vec<datafusion_physical_plan::Distribution> {
// Until we have a separate commit endpoint, we need to do all inserts in a single partition
vec![datafusion_physical_plan::Distribution::SinglePartition]
if self.upload_id.is_some() {
vec![datafusion_physical_plan::Distribution::UnspecifiedDistribution]
} else {
vec![datafusion_physical_plan::Distribution::SinglePartition]
}
}
fn benefits_from_input_partitioning(&self) -> Vec<bool> {
@@ -191,12 +265,14 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
"RemoteInsertExec requires exactly one child".to_string(),
));
}
Ok(Arc::new(Self::new(
Ok(Arc::new(Self::new_inner(
self.table_name.clone(),
self.identifier.clone(),
self.client.clone(),
children[0].clone(),
self.overwrite,
self.upload_id.clone(),
self.tracker.clone(),
)))
}
@@ -205,18 +281,29 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
partition: usize,
context: Arc<TaskContext>,
) -> DataFusionResult<SendableRecordBatchStream> {
if partition != 0 {
if self.upload_id.is_none() && partition != 0 {
return Err(DataFusionError::Internal(
"RemoteInsertExec only supports single partition execution".to_string(),
"RemoteInsertExec only supports single partition execution without upload_id"
.to_string(),
));
}
let input_stream = self.input.execute(0, context)?;
let input_stream = self.input.execute(partition, context)?;
let input_schema = input_stream.schema();
let input_stream: SendableRecordBatchStream =
Box::pin(InstrumentedRecordBatchStreamAdapter::new(
input_schema,
input_stream,
partition,
&self.metrics,
));
let client = self.client.clone();
let identifier = self.identifier.clone();
let overwrite = self.overwrite;
let add_result = self.add_result.clone();
let table_name = self.table_name.clone();
let upload_id = self.upload_id.clone();
let tracker = self.tracker.clone();
let stream = futures::stream::once(async move {
let mut request = client
@@ -226,9 +313,12 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
if overwrite {
request = request.query(&[("mode", "overwrite")]);
}
if let Some(ref uid) = upload_id {
request = request.query(&[("upload_id", uid.as_str())]);
}
let (error_tx, mut error_rx) = tokio::sync::oneshot::channel();
let body = Self::stream_as_http_body(input_stream, error_tx)?;
let body = Self::stream_as_http_body(input_stream, error_tx, tracker)?;
let request = request.body(body);
let result: DataFusionResult<(String, _)> = async {
@@ -262,32 +352,43 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
let (request_id, response) = result?;
let body_text = response.text().await.map_err(|e| {
DataFusionError::External(Box::new(Error::Http {
source: Box::new(e),
request_id: request_id.clone(),
status_code: None,
}))
})?;
let parsed_result = if body_text.trim().is_empty() {
// Backward compatible with old servers
AddResult { version: 0 }
} else {
serde_json::from_str(&body_text).map_err(|e| {
// For multipart writes, the staging response is not the final
// version. Only parse AddResult for non-multipart inserts.
if upload_id.is_none() {
let body_text = response.text().await.map_err(|e| {
DataFusionError::External(Box::new(Error::Http {
source: format!("Failed to parse add response: {}", e).into(),
source: Box::new(e),
request_id: request_id.clone(),
status_code: None,
}))
})?
};
})?;
let parsed_result = if body_text.trim().is_empty() {
// Backward compatible with old servers
AddResult { version: 0 }
} else {
serde_json::from_str(&body_text).map_err(|e| {
DataFusionError::External(Box::new(Error::Http {
source: format!("Failed to parse add response: {}", e).into(),
request_id: request_id.clone(),
status_code: None,
}))
})?
};
{
let mut res_lock = add_result.lock().map_err(|_| {
DataFusionError::Execution("Failed to acquire lock for add_result".to_string())
})?;
*res_lock = Some(parsed_result);
} else {
// We don't use the body in this case, but we should still consume it.
let _ = response.bytes().await.map_err(|e| {
DataFusionError::External(Box::new(Error::Http {
source: Box::new(e),
request_id: request_id.clone(),
status_code: None,
}))
})?;
}
// Return a single batch with count 0 (actual count is tracked in add_result)
@@ -301,6 +402,10 @@ impl<S: HttpSend + 'static> ExecutionPlan for RemoteInsertExec<S> {
stream,
)))
}
fn metrics(&self) -> Option<MetricsSet> {
Some(self.metrics.clone_inner())
}
}
#[cfg(test)]

View File

@@ -19,11 +19,11 @@ pub use lance::dataset::Version;
use lance::dataset::WriteMode;
use lance::dataset::builder::DatasetBuilder;
use lance::dataset::{InsertBuilder, WriteParams};
use lance::index::DatasetIndexExt;
use lance::index::vector::VectorIndexParams;
use lance::index::vector::utils::infer_vector_dim;
use lance::io::{ObjectStoreParams, WrappingObjectStore};
use lance_datafusion::utils::StreamingWriteSource;
use lance_index::DatasetIndexExt;
use lance_index::IndexType;
use lance_index::scalar::{BuiltinIndexType, ScalarIndexParams};
use lance_index::vector::bq::RQBuildParams;
@@ -42,11 +42,13 @@ use lance_table::io::commit::CommitHandler;
use lance_table::io::commit::ManifestNamingScheme;
use lance_table::io::commit::external_manifest::ExternalManifestCommitHandler;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::collections::{HashMap, HashSet};
use std::format;
use std::path::Path;
use std::sync::Arc;
use crate::connection::PushdownOperation;
use crate::data::scannable::{PeekedScannable, Scannable, estimate_write_partitions};
use crate::database::Database;
use crate::embeddings::{EmbeddingDefinition, EmbeddingRegistry, MemoryRegistry};
@@ -74,7 +76,10 @@ pub mod optimize;
pub mod query;
pub mod schema_evolution;
pub mod update;
pub mod write_progress;
use crate::index::waiter::wait_for_index;
#[cfg(feature = "remote")]
pub(crate) use add_data::PreprocessingOutput;
pub use add_data::{AddDataBuilder, AddDataMode, AddResult, NaNVectorBehavior};
pub use chrono::Duration;
pub use delete::DeleteResult;
@@ -440,6 +445,34 @@ mod test_utils {
embedding_registry: Arc::new(MemoryRegistry::new()),
}
}
pub fn new_with_handler_version_and_config<T>(
name: impl Into<String>,
version: semver::Version,
handler: impl Fn(reqwest::Request) -> http::Response<T> + Clone + Send + Sync + 'static,
config: crate::remote::ClientConfig,
) -> Self
where
T: Into<reqwest::Body>,
{
let inner = Arc::new(
crate::remote::table::RemoteTable::new_mock_with_version_and_config(
name.into(),
handler.clone(),
Some(version),
config.clone(),
),
);
let database = Arc::new(crate::remote::db::RemoteDatabase::new_mock_with_config(
handler, config,
));
Self {
inner,
database: Some(database),
// Registry is unused.
embedding_registry: Arc::new(MemoryRegistry::new()),
}
}
}
}
@@ -1237,10 +1270,9 @@ pub struct NativeTable {
// Optional namespace client for namespace operations (e.g., managed versioning).
// pub(crate) so query.rs can access the field for server-side query execution.
pub(crate) namespace_client: Option<Arc<dyn LanceNamespace>>,
// Whether to enable server-side query execution via the namespace client.
// When true and namespace_client is set, queries will be executed on the
// namespace server instead of locally.
pub(crate) server_side_query_enabled: bool,
// Operations to push down to the namespace server.
// pub(crate) so query.rs can access the field for server-side query execution.
pub(crate) pushdown_operations: HashSet<PushdownOperation>,
}
impl std::fmt::Debug for NativeTable {
@@ -1252,7 +1284,7 @@ impl std::fmt::Debug for NativeTable {
.field("uri", &self.uri)
.field("read_consistency_interval", &self.read_consistency_interval)
.field("namespace_client", &self.namespace_client)
.field("server_side_query_enabled", &self.server_side_query_enabled)
.field("pushdown_operations", &self.pushdown_operations)
.finish()
}
}
@@ -1289,7 +1321,18 @@ impl NativeTable {
/// * A [NativeTable] object.
pub async fn open(uri: &str) -> Result<Self> {
let name = Self::get_table_name(uri)?;
Self::open_with_params(uri, &name, vec![], None, None, None, None, false, None).await
Self::open_with_params(
uri,
&name,
vec![],
None,
None,
None,
None,
HashSet::new(),
None,
)
.await
}
/// Opens an existing Table
@@ -1300,7 +1343,7 @@ impl NativeTable {
/// * `name` The Table name
/// * `params` The [ReadParams] to use when opening the table
/// * `namespace_client` - Optional namespace client for namespace operations
/// * `server_side_query_enabled` - Whether to enable server-side query execution
/// * `pushdown_operations` - Operations to push down to the namespace server
/// * `managed_versioning` - Whether managed versioning is enabled. If None and namespace_client
/// is provided, the value will be fetched via describe_table.
///
@@ -1316,7 +1359,7 @@ impl NativeTable {
params: Option<ReadParams>,
read_consistency_interval: Option<std::time::Duration>,
namespace_client: Option<Arc<dyn LanceNamespace>>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
managed_versioning: Option<bool>,
) -> Result<Self> {
let params = params.unwrap_or_default();
@@ -1386,7 +1429,7 @@ impl NativeTable {
dataset,
read_consistency_interval,
namespace_client,
server_side_query_enabled,
pushdown_operations,
})
}
@@ -1412,10 +1455,8 @@ impl NativeTable {
/// * `write_store_wrapper` - Optional wrapper for the object store on write path
/// * `params` - Optional read parameters
/// * `read_consistency_interval` - Optional interval for read consistency
/// * `server_side_query_enabled` - Whether to enable server-side query execution.
/// When true, the namespace_client will be stored and queries will be executed
/// on the namespace server. When false, the namespace is only used for opening
/// the table, and queries are executed locally.
/// * `pushdown_operations` - Operations to push down to the namespace server.
/// When `QueryTable` is included, queries will be executed on the namespace server.
/// * `session` - Optional session for object stores and caching
///
/// # Returns
@@ -1429,7 +1470,7 @@ impl NativeTable {
write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
params: Option<ReadParams>,
read_consistency_interval: Option<std::time::Duration>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
session: Option<Arc<lance::session::Session>>,
) -> Result<Self> {
let mut params = params.unwrap_or_default();
@@ -1476,11 +1517,12 @@ impl NativeTable {
let dataset = DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval);
let id = Self::build_id(&namespace, name);
let stored_namespace_client = if server_side_query_enabled {
Some(namespace_client)
} else {
None
};
let stored_namespace_client =
if pushdown_operations.contains(&PushdownOperation::QueryTable) {
Some(namespace_client)
} else {
None
};
Ok(Self {
name: name.to_string(),
@@ -1490,7 +1532,7 @@ impl NativeTable {
dataset,
read_consistency_interval,
namespace_client: stored_namespace_client,
server_side_query_enabled,
pushdown_operations,
})
}
@@ -1531,7 +1573,7 @@ impl NativeTable {
/// * `batches` RecordBatch to be saved in the database.
/// * `params` - Write parameters.
/// * `namespace_client` - Optional namespace client for namespace operations
/// * `server_side_query_enabled` - Whether to enable server-side query execution
/// * `pushdown_operations` - Operations to push down to the namespace server
///
/// # Returns
///
@@ -1546,7 +1588,7 @@ impl NativeTable {
params: Option<WriteParams>,
read_consistency_interval: Option<std::time::Duration>,
namespace_client: Option<Arc<dyn LanceNamespace>>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
) -> Result<Self> {
// Default params uses format v1.
let params = params.unwrap_or(WriteParams {
@@ -1579,7 +1621,7 @@ impl NativeTable {
dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
read_consistency_interval,
namespace_client,
server_side_query_enabled,
pushdown_operations,
})
}
@@ -1593,7 +1635,7 @@ impl NativeTable {
params: Option<WriteParams>,
read_consistency_interval: Option<std::time::Duration>,
namespace_client: Option<Arc<dyn LanceNamespace>>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
) -> Result<Self> {
let data: Box<dyn Scannable> = Box::new(RecordBatch::new_empty(schema));
Self::create(
@@ -1605,7 +1647,7 @@ impl NativeTable {
params,
read_consistency_interval,
namespace_client,
server_side_query_enabled,
pushdown_operations,
)
.await
}
@@ -1628,7 +1670,7 @@ impl NativeTable {
/// * `write_store_wrapper` - Optional wrapper for the object store on write path
/// * `params` - Optional write parameters
/// * `read_consistency_interval` - Optional interval for read consistency
/// * `server_side_query_enabled` - Whether to enable server-side query execution
/// * `pushdown_operations` - Operations to push down to the namespace server
///
/// # Returns
///
@@ -1643,7 +1685,7 @@ impl NativeTable {
write_store_wrapper: Option<Arc<dyn WrappingObjectStore>>,
params: Option<WriteParams>,
read_consistency_interval: Option<std::time::Duration>,
server_side_query_enabled: bool,
pushdown_operations: HashSet<PushdownOperation>,
session: Option<Arc<lance::session::Session>>,
) -> Result<Self> {
// Build table_id from namespace + name for the storage options provider
@@ -1695,11 +1737,12 @@ impl NativeTable {
let id = Self::build_id(&namespace, name);
let stored_namespace_client = if server_side_query_enabled {
Some(namespace_client)
} else {
None
};
let stored_namespace_client =
if pushdown_operations.contains(&PushdownOperation::QueryTable) {
Some(namespace_client)
} else {
None
};
Ok(Self {
name: name.to_string(),
@@ -1709,7 +1752,7 @@ impl NativeTable {
dataset: DatasetConsistencyWrapper::new_latest(dataset, read_consistency_interval),
read_consistency_interval,
namespace_client: stored_namespace_client,
server_side_query_enabled,
pushdown_operations,
})
}
@@ -2198,21 +2241,26 @@ impl BaseTable for NativeTable {
let table_schema = Schema::from(&ds.schema().clone());
// Peek at the first batch to estimate a good partition count for
// write parallelism.
let mut peeked = PeekedScannable::new(add.data);
let num_partitions = if let Some(first_batch) = peeked.peek().await {
let max_partitions = lance_core::utils::tokio::get_num_compute_intensive_cpus();
estimate_write_partitions(
first_batch.get_array_memory_size(),
first_batch.num_rows(),
peeked.num_rows(),
max_partitions,
)
let num_partitions = if let Some(parallelism) = add.write_parallelism {
parallelism
} else {
1
// Peek at the first batch to estimate a good partition count for
// write parallelism.
let mut peeked = PeekedScannable::new(add.data);
let n = if let Some(first_batch) = peeked.peek().await {
let max_partitions = lance_core::utils::tokio::get_num_compute_intensive_cpus();
estimate_write_partitions(
first_batch.get_array_memory_size(),
first_batch.num_rows(),
peeked.num_rows(),
max_partitions,
)
} else {
1
};
add.data = Box::new(peeked);
n
};
add.data = Box::new(peeked);
let output = add.into_plan(&table_schema, &table_def)?;
@@ -2241,13 +2289,21 @@ impl BaseTable for NativeTable {
let insert_exec = Arc::new(InsertExec::new(ds_wrapper.clone(), ds, plan, lance_params));
let tracker_for_tasks = output.tracker.clone();
if let Some(ref t) = tracker_for_tasks {
t.set_total_tasks(num_partitions);
}
let _finish = write_progress::FinishOnDrop(output.tracker);
// Execute all partitions in parallel.
let task_ctx = Arc::new(TaskContext::default());
let handles = FuturesUnordered::new();
for partition in 0..num_partitions {
let exec = insert_exec.clone();
let ctx = task_ctx.clone();
let tracker = tracker_for_tasks.clone();
handles.push(tokio::spawn(async move {
let _guard = tracker.as_ref().map(|t| t.track_task());
let mut stream = exec
.execute(partition, ctx)
.map_err(|e| -> Error { e.into() })?;
@@ -2707,9 +2763,19 @@ mod tests {
vec![Ok(batch.clone())],
batch.schema(),
));
let table = NativeTable::create(uri, "test", vec![], reader, None, None, None, None, false)
.await
.unwrap();
let table = NativeTable::create(
uri,
"test",
vec![],
reader,
None,
None,
None,
None,
HashSet::new(),
)
.await
.unwrap();
assert_eq!(table.count_rows(None).await.unwrap(), 10);
assert_eq!(
@@ -3736,7 +3802,7 @@ mod tests {
TableStatistics {
num_rows: 250,
num_indices: 0,
total_bytes: 2000,
total_bytes: 2300,
fragment_stats: FragmentStatistics {
num_fragments: 11,
num_small_fragments: 11,

View File

@@ -13,6 +13,9 @@ use crate::embeddings::EmbeddingRegistry;
use crate::table::datafusion::cast::cast_to_table_schema;
use crate::table::datafusion::reject_nan::reject_nan_vectors;
use crate::table::datafusion::scannable_exec::ScannableExec;
use crate::table::write_progress::ProgressCallback;
use crate::table::write_progress::WriteProgress;
use crate::table::write_progress::WriteProgressTracker;
use crate::{Error, Result};
use super::{BaseTable, TableDefinition, WriteOptions};
@@ -52,6 +55,8 @@ pub struct AddDataBuilder {
pub(crate) write_options: WriteOptions,
pub(crate) on_nan_vectors: NaNVectorBehavior,
pub(crate) embedding_registry: Option<Arc<dyn EmbeddingRegistry>>,
pub(crate) progress_callback: Option<ProgressCallback>,
pub(crate) write_parallelism: Option<usize>,
}
impl std::fmt::Debug for AddDataBuilder {
@@ -77,6 +82,8 @@ impl AddDataBuilder {
write_options: WriteOptions::default(),
on_nan_vectors: NaNVectorBehavior::default(),
embedding_registry,
progress_callback: None,
write_parallelism: None,
}
}
@@ -101,7 +108,43 @@ impl AddDataBuilder {
self
}
/// Set a callback to receive progress updates during the add operation.
///
/// The callback is invoked once per batch written, and once more with
/// [`WriteProgress::done`] set to `true` when the write completes.
///
/// ```
/// # use lancedb::Table;
/// # async fn example(table: &Table) -> Result<(), Box<dyn std::error::Error>> {
/// let batch = arrow_array::record_batch!(("id", Int32, [1, 2, 3])).unwrap();
/// table.add(batch)
/// .progress(|p| println!("{}/{:?} rows", p.output_rows(), p.total_rows()))
/// .execute()
/// .await?;
/// # Ok(())
/// # }
/// ```
pub fn progress(mut self, callback: impl FnMut(&WriteProgress) + Send + 'static) -> Self {
self.progress_callback = Some(Arc::new(std::sync::Mutex::new(callback)));
self
}
/// Set the number of parallel write streams.
///
/// By default, the number of streams is estimated from the data size.
/// Setting this to `1` disables parallel writes.
pub fn write_parallelism(mut self, parallelism: usize) -> Self {
self.write_parallelism = Some(parallelism);
self
}
pub async fn execute(self) -> Result<AddResult> {
if self.write_parallelism.map(|p| p == 0).unwrap_or(false) {
return Err(Error::InvalidInput {
message: "write_parallelism must be greater than 0".to_string(),
});
}
self.parent.clone().add(self).await
}
@@ -130,8 +173,11 @@ impl AddDataBuilder {
scannable_with_embeddings(self.data, table_def, self.embedding_registry.as_ref())?;
let rescannable = self.data.rescannable();
let tracker = self
.progress_callback
.map(|cb| Arc::new(WriteProgressTracker::new(cb, self.data.num_rows())));
let plan: Arc<dyn datafusion_physical_plan::ExecutionPlan> =
Arc::new(ScannableExec::new(self.data));
Arc::new(ScannableExec::new(self.data, tracker.clone()));
// Skip casting when overwriting — the input schema replaces the table schema.
let plan = if overwrite {
plan
@@ -149,6 +195,7 @@ impl AddDataBuilder {
rescannable,
write_options: self.write_options,
mode: self.mode,
tracker,
})
}
}
@@ -161,6 +208,7 @@ pub struct PreprocessingOutput {
pub rescannable: bool,
pub write_options: WriteOptions,
pub mode: AddDataMode,
pub tracker: Option<Arc<WriteProgressTracker>>,
}
/// Check that the input schema is valid for insert.

View File

@@ -12,13 +12,16 @@ use datafusion_common::{DataFusionError, Result as DataFusionResult};
use datafusion_execution::{SendableRecordBatchStream, TaskContext};
use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
use datafusion_physical_plan::execution_plan::{Boundedness, EmissionType};
use datafusion_physical_plan::metrics::{ExecutionPlanMetricsSet, MetricBuilder, MetricsSet};
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
use datafusion_physical_plan::{
DisplayAs, DisplayFormatType, ExecutionPlan, ExecutionPlanProperties, PlanProperties,
};
use futures::TryStreamExt;
use lance::Dataset;
use lance::dataset::transaction::{Operation, Transaction};
use lance::dataset::{CommitBuilder, InsertBuilder, WriteParams};
use lance::io::exec::utils::InstrumentedRecordBatchStreamAdapter;
use lance_table::format::Fragment;
use crate::table::dataset::DatasetConsistencyWrapper;
@@ -80,6 +83,7 @@ pub struct InsertExec {
write_params: WriteParams,
properties: PlanProperties,
partial_transactions: Arc<Mutex<Vec<Transaction>>>,
metrics: ExecutionPlanMetricsSet,
}
impl InsertExec {
@@ -105,6 +109,7 @@ impl InsertExec {
write_params,
properties,
partial_transactions: Arc::new(Mutex::new(Vec::with_capacity(num_partitions))),
metrics: ExecutionPlanMetricsSet::new(),
}
}
}
@@ -176,6 +181,19 @@ impl ExecutionPlan for InsertExec {
let total_partitions = self.input.output_partitioning().partition_count();
let ds_wrapper = self.ds_wrapper.clone();
let output_bytes = MetricBuilder::new(&self.metrics).output_bytes(partition);
let input_schema = input_stream.schema();
let input_stream: SendableRecordBatchStream =
Box::pin(InstrumentedRecordBatchStreamAdapter::new(
input_schema,
input_stream.map_ok(move |batch| {
output_bytes.add(batch.get_array_memory_size());
batch
}),
partition,
&self.metrics,
));
let stream = futures::stream::once(async move {
let transaction = InsertBuilder::new(dataset.clone())
.with_params(&write_params)
@@ -186,7 +204,9 @@ impl ExecutionPlan for InsertExec {
let to_commit = {
// Don't hold the lock over an await point.
let mut txns = partial_transactions.lock().unwrap();
let mut txns = partial_transactions
.lock()
.unwrap_or_else(|e| e.into_inner());
txns.push(transaction);
if txns.len() == total_partitions {
Some(std::mem::take(&mut *txns))
@@ -215,6 +235,10 @@ impl ExecutionPlan for InsertExec {
stream,
)))
}
fn metrics(&self) -> Option<MetricsSet> {
Some(self.metrics.clone_inner())
}
}
#[cfg(test)]

View File

@@ -7,17 +7,21 @@ use std::sync::{Arc, Mutex};
use datafusion_common::{DataFusionError, Result as DFResult, Statistics, stats::Precision};
use datafusion_execution::{SendableRecordBatchStream, TaskContext};
use datafusion_physical_expr::{EquivalenceProperties, Partitioning};
use datafusion_physical_plan::stream::RecordBatchStreamAdapter;
use datafusion_physical_plan::{
DisplayAs, DisplayFormatType, ExecutionPlan, PlanProperties, execution_plan::EmissionType,
};
use futures::TryStreamExt;
use crate::table::write_progress::WriteProgressTracker;
use crate::{arrow::SendableRecordBatchStreamExt, data::scannable::Scannable};
pub struct ScannableExec {
// We don't require Scannable to by Sync, so we wrap it in a Mutex to allow safe concurrent access.
pub(crate) struct ScannableExec {
// We don't require Scannable to be Sync, so we wrap it in a Mutex to allow safe concurrent access.
source: Mutex<Box<dyn Scannable>>,
num_rows: Option<usize>,
properties: PlanProperties,
tracker: Option<Arc<WriteProgressTracker>>,
}
impl std::fmt::Debug for ScannableExec {
@@ -30,7 +34,7 @@ impl std::fmt::Debug for ScannableExec {
}
impl ScannableExec {
pub fn new(source: Box<dyn Scannable>) -> Self {
pub fn new(source: Box<dyn Scannable>, tracker: Option<Arc<WriteProgressTracker>>) -> Self {
let schema = source.schema();
let eq_properties = EquivalenceProperties::new(schema);
let properties = PlanProperties::new(
@@ -46,6 +50,7 @@ impl ScannableExec {
source,
num_rows,
properties,
tracker,
}
}
}
@@ -102,7 +107,18 @@ impl ExecutionPlan for ScannableExec {
Err(poison) => poison.into_inner().scan_as_stream(),
};
Ok(stream.into_df_stream())
let tracker = self.tracker.clone();
let stream = stream.into_df_stream().map_ok(move |batch| {
if let Some(ref t) = tracker {
t.record_batch(batch.num_rows(), batch.get_array_memory_size());
}
batch
});
Ok(Box::pin(RecordBatchStreamAdapter::new(
self.schema(),
stream,
)))
}
fn partition_statistics(&self, _partition: Option<usize>) -> DFResult<Statistics> {

View File

@@ -82,7 +82,7 @@ impl DatasetConsistencyWrapper {
/// pinned dataset regardless of consistency mode.
pub async fn get(&self) -> Result<Arc<Dataset>> {
{
let state = self.state.lock().unwrap();
let state = self.state.lock()?;
if state.pinned_version.is_some() {
return Ok(state.dataset.clone());
}
@@ -101,7 +101,7 @@ impl DatasetConsistencyWrapper {
}
ConsistencyMode::Strong => refresh_latest(self.state.clone()).await,
ConsistencyMode::Lazy => {
let state = self.state.lock().unwrap();
let state = self.state.lock()?;
Ok(state.dataset.clone())
}
}
@@ -116,7 +116,7 @@ impl DatasetConsistencyWrapper {
/// concurrent [`as_time_travel`](Self::as_time_travel) call), the update
/// is silently ignored — the write already committed to storage.
pub fn update(&self, dataset: Dataset) {
let mut state = self.state.lock().unwrap();
let mut state = self.state.lock().unwrap_or_else(|e| e.into_inner());
if state.pinned_version.is_some() {
// A concurrent as_time_travel() beat us here. The write succeeded
// in storage, but since we're now pinned we don't advance the
@@ -139,7 +139,7 @@ impl DatasetConsistencyWrapper {
/// Check that the dataset is in a mutable mode (Latest).
pub fn ensure_mutable(&self) -> Result<()> {
let state = self.state.lock().unwrap();
let state = self.state.lock()?;
if state.pinned_version.is_some() {
Err(crate::Error::InvalidInput {
message: "table cannot be modified when a specific version is checked out"
@@ -152,13 +152,16 @@ impl DatasetConsistencyWrapper {
/// Returns the version, if in time travel mode, or None otherwise.
pub fn time_travel_version(&self) -> Option<u64> {
self.state.lock().unwrap().pinned_version
self.state
.lock()
.unwrap_or_else(|e| e.into_inner())
.pinned_version
}
/// Convert into a wrapper in latest version mode.
pub async fn as_latest(&self) -> Result<()> {
let dataset = {
let state = self.state.lock().unwrap();
let state = self.state.lock()?;
if state.pinned_version.is_none() {
return Ok(());
}
@@ -168,7 +171,7 @@ impl DatasetConsistencyWrapper {
let latest_version = dataset.latest_version_id().await?;
let new_dataset = dataset.checkout_version(latest_version).await?;
let mut state = self.state.lock().unwrap();
let mut state = self.state.lock()?;
if state.pinned_version.is_some() {
state.dataset = Arc::new(new_dataset);
state.pinned_version = None;
@@ -184,7 +187,7 @@ impl DatasetConsistencyWrapper {
let target_ref = target_version.into();
let (should_checkout, dataset) = {
let state = self.state.lock().unwrap();
let state = self.state.lock()?;
let should = match state.pinned_version {
None => true,
Some(version) => match &target_ref {
@@ -204,7 +207,7 @@ impl DatasetConsistencyWrapper {
let new_dataset = dataset.checkout_version(target_ref).await?;
let version_value = new_dataset.version().version;
let mut state = self.state.lock().unwrap();
let mut state = self.state.lock()?;
state.dataset = Arc::new(new_dataset);
state.pinned_version = Some(version_value);
Ok(())
@@ -212,7 +215,7 @@ impl DatasetConsistencyWrapper {
pub async fn reload(&self) -> Result<()> {
let (dataset, pinned_version) = {
let state = self.state.lock().unwrap();
let state = self.state.lock()?;
(state.dataset.clone(), state.pinned_version)
};
@@ -230,7 +233,7 @@ impl DatasetConsistencyWrapper {
let new_dataset = dataset.checkout_version(version).await?;
let mut state = self.state.lock().unwrap();
let mut state = self.state.lock()?;
if state.pinned_version == Some(version) {
state.dataset = Arc::new(new_dataset);
}
@@ -242,14 +245,14 @@ impl DatasetConsistencyWrapper {
}
async fn refresh_latest(state: Arc<Mutex<DatasetState>>) -> Result<Arc<Dataset>> {
let dataset = { state.lock().unwrap().dataset.clone() };
let dataset = { state.lock()?.dataset.clone() };
let mut ds = (*dataset).clone();
ds.checkout_latest().await?;
let new_arc = Arc::new(ds);
{
let mut state = state.lock().unwrap();
let mut state = state.lock()?;
if state.pinned_version.is_none()
&& new_arc.manifest().version >= state.dataset.manifest().version
{
@@ -612,4 +615,108 @@ mod tests {
let s = io_stats.incremental_stats();
assert_eq!(s.read_iops, 0, "step 5, elapsed={:?}", start.elapsed());
}
/// Helper: poison the mutex inside a DatasetConsistencyWrapper.
fn poison_state(wrapper: &DatasetConsistencyWrapper) {
let state = wrapper.state.clone();
let handle = std::thread::spawn(move || {
let _guard = state.lock().unwrap();
panic!("intentional panic to poison mutex");
});
let _ = handle.join(); // join collects the panic
assert!(wrapper.state.lock().is_err(), "mutex should be poisoned");
}
#[tokio::test]
async fn test_get_returns_error_on_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
// get() should return Err, not panic
let result = wrapper.get().await;
assert!(result.is_err());
}
#[tokio::test]
async fn test_ensure_mutable_returns_error_on_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
let result = wrapper.ensure_mutable();
assert!(result.is_err());
}
#[tokio::test]
async fn test_update_recovers_from_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let ds_v2 = append_to_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
// update() returns (), should not panic
wrapper.update(ds_v2);
}
#[tokio::test]
async fn test_time_travel_version_recovers_from_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
// Should not panic, returns whatever was in the mutex
let _version = wrapper.time_travel_version();
}
#[tokio::test]
async fn test_as_latest_returns_error_on_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
let result = wrapper.as_latest().await;
assert!(result.is_err());
}
#[tokio::test]
async fn test_as_time_travel_returns_error_on_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
let result = wrapper.as_time_travel(1u64).await;
assert!(result.is_err());
}
#[tokio::test]
async fn test_reload_returns_error_on_poisoned_lock() {
let dir = tempfile::tempdir().unwrap();
let uri = dir.path().to_str().unwrap();
let ds = create_test_dataset(uri).await;
let wrapper = DatasetConsistencyWrapper::new_latest(ds, None);
poison_state(&wrapper);
let result = wrapper.reload().await;
assert!(result.is_err());
}
}

View File

@@ -10,7 +10,7 @@ use std::sync::Arc;
use lance::dataset::cleanup::RemovalStats;
use lance::dataset::optimize::{CompactionMetrics, IndexRemapperOptions, compact_files};
use lance_index::DatasetIndexExt;
use lance::index::DatasetIndexExt;
use lance_index::optimize::OptimizeOptions;
use log::info;

View File

@@ -4,12 +4,13 @@
use std::sync::Arc;
use super::NativeTable;
use crate::connection::PushdownOperation;
use crate::error::{Error, Result};
use crate::expr::expr_to_sql_string;
use crate::query::{
DEFAULT_TOP_K, QueryExecutionOptions, QueryFilter, QueryRequest, Select, VectorQueryRequest,
};
use crate::utils::{TimeoutStream, default_vector_column};
use crate::utils::{MaxBatchLengthStream, TimeoutStream, default_vector_column};
use arrow::array::{AsArray, FixedSizeListBuilder, Float32Builder};
use arrow::datatypes::{Float32Type, UInt8Type};
use arrow_array::Array;
@@ -40,8 +41,10 @@ pub async fn execute_query(
query: &AnyQuery,
options: QueryExecutionOptions,
) -> Result<DatasetRecordBatchStream> {
// If server-side query is enabled and namespace client is configured, use server-side query execution
if table.server_side_query_enabled
// If QueryTable pushdown is enabled and namespace client is configured, use server-side query execution
if table
.pushdown_operations
.contains(&PushdownOperation::QueryTable)
&& let Some(ref namespace_client) = table.namespace_client
{
return execute_namespace_query(table, namespace_client.clone(), query, options).await;
@@ -66,6 +69,7 @@ async fn execute_generic_query(
) -> Result<DatasetRecordBatchStream> {
let plan = create_plan(table, query, options.clone()).await?;
let inner = execute_plan(plan, Default::default())?;
let inner = MaxBatchLengthStream::new_boxed(inner, options.max_batch_length as usize);
let inner = if let Some(timeout) = options.timeout {
TimeoutStream::new_boxed(inner, timeout)
} else {
@@ -200,7 +204,9 @@ pub async fn create_plan(
scanner.with_row_id();
}
scanner.batch_size(options.max_batch_length as usize);
if options.max_batch_length > 0 {
scanner.batch_size(options.max_batch_length as usize);
}
if query.base.fast_search {
scanner.fast_search();

View File

@@ -0,0 +1,431 @@
// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
//! Progress monitoring for write operations.
//!
//! You can add a callback to process progress in [`crate::table::AddDataBuilder::progress`].
//! [`WriteProgress`] is the struct passed to the callback.
use std::sync::atomic::{AtomicUsize, Ordering};
use std::sync::{Arc, Mutex};
use std::time::{Duration, Instant};
/// Progress snapshot for a write operation.
#[derive(Debug, Clone)]
pub struct WriteProgress {
// These are private and only accessible via getters, to make it easy to add
// new fields without breaking existing callbacks.
elapsed: Duration,
output_rows: usize,
output_bytes: usize,
total_rows: Option<usize>,
active_tasks: usize,
total_tasks: usize,
done: bool,
}
impl WriteProgress {
/// Wall-clock time since monitoring started.
pub fn elapsed(&self) -> Duration {
self.elapsed
}
/// Number of rows written so far.
pub fn output_rows(&self) -> usize {
self.output_rows
}
/// Number of bytes written so far.
pub fn output_bytes(&self) -> usize {
self.output_bytes
}
/// Total rows expected.
///
/// Populated when the input source reports a row count (e.g. a
/// [`arrow_array::RecordBatch`]). Always `Some` when [`WriteProgress::done`]
/// is `true` — falling back to the actual number of rows written.
pub fn total_rows(&self) -> Option<usize> {
self.total_rows
}
/// Number of parallel write tasks currently in flight.
pub fn active_tasks(&self) -> usize {
self.active_tasks
}
/// Total number of parallel write tasks (i.e. the write parallelism).
pub fn total_tasks(&self) -> usize {
self.total_tasks
}
/// Whether the write operation has completed.
///
/// The final callback always has `done = true`. Callers can use this to
/// finalize progress bars or perform cleanup.
pub fn done(&self) -> bool {
self.done
}
}
/// Callback type for progress updates.
///
/// Callbacks are serialized by the tracker and are never invoked reentrantly,
/// so `FnMut` is safe to use here.
pub type ProgressCallback = Arc<Mutex<dyn FnMut(&WriteProgress) + Send>>;
/// Tracks progress of a write operation and invokes a [`ProgressCallback`].
///
/// Call [`WriteProgressTracker::record_batch`] for each batch written.
/// Call [`WriteProgressTracker::finish`] once after all data is written.
///
/// The callback is never invoked reentrantly: all state updates and callback
/// invocations are serialized behind a single lock.
impl std::fmt::Debug for WriteProgressTracker {
fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
f.debug_struct("WriteProgressTracker")
.field("total_rows", &self.total_rows)
.finish()
}
}
pub(crate) struct WriteProgressTracker {
rows_and_bytes: std::sync::Mutex<(usize, usize)>,
/// Wire bytes tracked separately by the insert layer. When set (> 0),
/// this takes precedence over the in-memory bytes from `rows_and_bytes`.
wire_bytes: AtomicUsize,
active_tasks: Arc<AtomicUsize>,
total_tasks: AtomicUsize,
start: Instant,
/// Known total rows from the input source, if available.
total_rows: Option<usize>,
callback: ProgressCallback,
}
impl WriteProgressTracker {
pub fn new(callback: ProgressCallback, total_rows: Option<usize>) -> Self {
Self {
rows_and_bytes: std::sync::Mutex::new((0, 0)),
wire_bytes: AtomicUsize::new(0),
active_tasks: Arc::new(AtomicUsize::new(0)),
total_tasks: AtomicUsize::new(1),
start: Instant::now(),
total_rows,
callback,
}
}
/// Set the total number of parallel write tasks (the write parallelism).
pub fn set_total_tasks(&self, n: usize) {
self.total_tasks.store(n, Ordering::Relaxed);
}
/// Increment the active task count. Returns a guard that decrements on drop.
pub fn track_task(&self) -> ActiveTaskGuard {
self.active_tasks.fetch_add(1, Ordering::Relaxed);
ActiveTaskGuard(self.active_tasks.clone())
}
/// Record a batch of rows passing through the scan node.
pub fn record_batch(&self, rows: usize, bytes: usize) {
// Lock order: callback first, then rows_and_bytes. This is the only
// order used anywhere, so deadlocks cannot occur.
let mut cb = self.callback.lock().unwrap_or_else(|e| e.into_inner());
let mut guard = self
.rows_and_bytes
.lock()
.unwrap_or_else(|e| e.into_inner());
guard.0 += rows;
guard.1 += bytes;
let progress = self.snapshot(guard.0, guard.1, false);
drop(guard);
cb(&progress);
}
/// Record wire bytes from the insert layer (e.g. IPC-encoded bytes for
/// remote writes). When wire bytes are recorded, they take precedence over
/// the in-memory Arrow bytes tracked by [`record_batch`].
pub fn record_bytes(&self, bytes: usize) {
self.wire_bytes.fetch_add(bytes, Ordering::Relaxed);
}
/// Emit the final progress callback indicating the write is complete.
///
/// `total_rows` is always `Some` on the final callback: it uses the known
/// total if available, or falls back to the number of rows actually written.
pub fn finish(&self) {
let mut cb = self.callback.lock().unwrap_or_else(|e| e.into_inner());
let guard = self
.rows_and_bytes
.lock()
.unwrap_or_else(|e| e.into_inner());
let mut snap = self.snapshot(guard.0, guard.1, true);
snap.total_rows = Some(self.total_rows.unwrap_or(guard.0));
drop(guard);
cb(&snap);
}
fn snapshot(&self, rows: usize, in_memory_bytes: usize, done: bool) -> WriteProgress {
let wire = self.wire_bytes.load(Ordering::Relaxed);
// Prefer wire bytes (actual I/O size) when the insert layer is
// tracking them; fall back to in-memory Arrow size otherwise.
// TODO: for local writes, track actual bytes written by Lance
// instead of using in-memory Arrow size as a proxy.
let output_bytes = if wire > 0 { wire } else { in_memory_bytes };
WriteProgress {
elapsed: self.start.elapsed(),
output_rows: rows,
output_bytes,
total_rows: self.total_rows,
active_tasks: self.active_tasks.load(Ordering::Relaxed),
total_tasks: self.total_tasks.load(Ordering::Relaxed),
done,
}
}
}
/// RAII guard that decrements the active task count when dropped.
pub(crate) struct ActiveTaskGuard(Arc<AtomicUsize>);
impl Drop for ActiveTaskGuard {
fn drop(&mut self) {
self.0.fetch_sub(1, Ordering::Relaxed);
}
}
/// RAII guard that calls [`WriteProgressTracker::finish`] on drop.
///
/// This ensures the final `done=true` callback fires even if the write
/// errors or the future is cancelled.
pub(crate) struct FinishOnDrop(pub Option<Arc<WriteProgressTracker>>);
impl Drop for FinishOnDrop {
fn drop(&mut self) {
if let Some(t) = self.0.take() {
t.finish();
}
}
}
#[cfg(test)]
mod tests {
use std::sync::Arc;
use std::sync::atomic::{AtomicUsize, Ordering};
use arrow_array::record_batch;
use crate::connect;
#[tokio::test]
async fn test_progress_monitor_fires_callback() {
let db = connect("memory://").execute().await.unwrap();
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
let table = db
.create_table("progress_test", batch)
.execute()
.await
.unwrap();
let callback_count = Arc::new(AtomicUsize::new(0));
let last_rows = Arc::new(AtomicUsize::new(0));
let max_active = Arc::new(AtomicUsize::new(0));
let last_total_tasks = Arc::new(AtomicUsize::new(0));
let cb_count = callback_count.clone();
let cb_rows = last_rows.clone();
let cb_active = max_active.clone();
let cb_total_tasks = last_total_tasks.clone();
let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
table
.add(new_data)
.progress(move |p| {
cb_count.fetch_add(1, Ordering::SeqCst);
cb_rows.store(p.output_rows(), Ordering::SeqCst);
cb_active.fetch_max(p.active_tasks(), Ordering::SeqCst);
cb_total_tasks.store(p.total_tasks(), Ordering::SeqCst);
})
.execute()
.await
.unwrap();
assert_eq!(table.count_rows(None).await.unwrap(), 6);
assert!(callback_count.load(Ordering::SeqCst) >= 1);
// Progress tracks the newly inserted rows, not the total table size.
assert_eq!(last_rows.load(Ordering::SeqCst), 3);
// At least one callback should have seen an active task.
assert!(max_active.load(Ordering::SeqCst) >= 1);
// total_tasks should reflect the write parallelism.
assert!(last_total_tasks.load(Ordering::SeqCst) >= 1);
}
#[tokio::test]
async fn test_progress_done_fires_at_end() {
let db = connect("memory://").execute().await.unwrap();
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
let table = db
.create_table("progress_done", batch)
.execute()
.await
.unwrap();
let seen_done = Arc::new(std::sync::Mutex::new(Vec::<bool>::new()));
let seen = seen_done.clone();
let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
table
.add(new_data)
.progress(move |p| {
seen.lock().unwrap().push(p.done());
})
.execute()
.await
.unwrap();
let done_flags = seen_done.lock().unwrap();
assert!(!done_flags.is_empty(), "at least one callback must fire");
// Only the last callback should have done=true.
let last = *done_flags.last().unwrap();
assert!(last, "last callback must have done=true");
// All earlier callbacks should have done=false.
for &d in done_flags.iter().rev().skip(1) {
assert!(!d, "non-final callbacks must have done=false");
}
}
#[tokio::test]
async fn test_progress_total_rows_known() {
let db = connect("memory://").execute().await.unwrap();
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
let table = db
.create_table("total_known", batch)
.execute()
.await
.unwrap();
let seen_total = Arc::new(std::sync::Mutex::new(Vec::new()));
let seen = seen_total.clone();
// RecordBatch implements Scannable with num_rows() -> Some(3)
let new_data = record_batch!(("id", Int32, [4, 5, 6])).unwrap();
table
.add(new_data)
.progress(move |p| {
seen.lock().unwrap().push(p.total_rows());
})
.execute()
.await
.unwrap();
let totals = seen_total.lock().unwrap();
// All callbacks (including done) should have total_rows = Some(3)
assert!(
totals.contains(&Some(3)),
"expected total_rows=Some(3) in at least one callback, got: {:?}",
*totals
);
}
#[tokio::test]
async fn test_progress_total_rows_unknown() {
use arrow_array::RecordBatchIterator;
let db = connect("memory://").execute().await.unwrap();
let batch = record_batch!(("id", Int32, [1, 2, 3])).unwrap();
let table = db
.create_table("total_unknown", batch)
.execute()
.await
.unwrap();
let seen_total = Arc::new(std::sync::Mutex::new(Vec::new()));
let seen = seen_total.clone();
// RecordBatchReader does not provide num_rows, so total_rows should be
// None in intermediate callbacks but always Some on the done callback.
let schema = arrow_schema::Schema::new(vec![arrow_schema::Field::new(
"id",
arrow_schema::DataType::Int32,
false,
)]);
let new_data: Box<dyn arrow_array::RecordBatchReader + Send> =
Box::new(RecordBatchIterator::new(
vec![Ok(record_batch!(("id", Int32, [4, 5, 6])).unwrap())],
Arc::new(schema),
));
table
.add(new_data)
.progress(move |p| {
seen.lock().unwrap().push((p.total_rows(), p.done()));
})
.execute()
.await
.unwrap();
let entries = seen_total.lock().unwrap();
assert!(!entries.is_empty(), "at least one callback must fire");
for (total, done) in entries.iter() {
if *done {
assert!(
total.is_some(),
"done callback must have total_rows set, got: {:?}",
total
);
} else {
assert_eq!(
*total, None,
"intermediate callback must have total_rows=None, got: {:?}",
total
);
}
}
}
#[test]
fn test_record_batch_recovers_from_poisoned_callback_lock() {
use super::{ProgressCallback, WriteProgressTracker};
use std::sync::Mutex;
let callback: ProgressCallback = Arc::new(Mutex::new(|_: &super::WriteProgress| {}));
// Poison the callback mutex
let cb_clone = callback.clone();
let handle = std::thread::spawn(move || {
let _guard = cb_clone.lock().unwrap();
panic!("intentional panic to poison callback mutex");
});
let _ = handle.join();
assert!(
callback.lock().is_err(),
"callback mutex should be poisoned"
);
let tracker = WriteProgressTracker::new(callback, Some(100));
// record_batch should not panic
tracker.record_batch(10, 1024);
}
#[test]
fn test_finish_recovers_from_poisoned_callback_lock() {
use super::{ProgressCallback, WriteProgressTracker};
use std::sync::Mutex;
let callback: ProgressCallback = Arc::new(Mutex::new(|_: &super::WriteProgress| {}));
// Poison the callback mutex
let cb_clone = callback.clone();
let handle = std::thread::spawn(move || {
let _guard = cb_clone.lock().unwrap();
panic!("intentional panic to poison callback mutex");
});
let _ = handle.join();
let tracker = WriteProgressTracker::new(callback, Some(100));
// finish should not panic
tracker.finish();
}
}

View File

@@ -122,7 +122,7 @@ where
/// This is a cheap synchronous check useful as a fast path before
/// constructing a fetch closure for [`get()`](Self::get).
pub fn try_get(&self) -> Option<V> {
let cache = self.inner.lock().unwrap();
let cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
cache.state.fresh_value(self.ttl, self.refresh_window)
}
@@ -138,7 +138,7 @@ where
{
// Fast path: check if cache is fresh
{
let cache = self.inner.lock().unwrap();
let cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
if let Some(value) = cache.state.fresh_value(self.ttl, self.refresh_window) {
return Ok(value);
}
@@ -147,7 +147,7 @@ where
// Slow path
let mut fetch = Some(fetch);
let action = {
let mut cache = self.inner.lock().unwrap();
let mut cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
self.determine_action(&mut cache, &mut fetch)
};
@@ -161,7 +161,7 @@ where
///
/// This avoids a blocking fetch on the first [`get()`](Self::get) call.
pub fn seed(&self, value: V) {
let mut cache = self.inner.lock().unwrap();
let mut cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
cache.state = State::Current(value, clock::now());
}
@@ -170,7 +170,7 @@ where
/// Any in-flight background fetch from before this call will not update the
/// cache (the generation counter prevents stale writes).
pub fn invalidate(&self) {
let mut cache = self.inner.lock().unwrap();
let mut cache = self.inner.lock().unwrap_or_else(|e| e.into_inner());
cache.state = State::Empty;
cache.generation += 1;
}
@@ -267,7 +267,7 @@ where
let fut_for_spawn = shared.clone();
tokio::spawn(async move {
let result = fut_for_spawn.await;
let mut cache = inner.lock().unwrap();
let mut cache = inner.lock().unwrap_or_else(|e| e.into_inner());
// Only update if no invalidation has happened since we started
if cache.generation != generation {
return;
@@ -590,4 +590,67 @@ mod tests {
let v = cache.get(ok_fetcher(count.clone(), "fresh")).await.unwrap();
assert_eq!(v, "fresh");
}
/// Helper: poison the inner mutex of a BackgroundCache.
fn poison_cache(cache: &BackgroundCache<String, TestError>) {
let inner = cache.inner.clone();
let handle = std::thread::spawn(move || {
let _guard = inner.lock().unwrap();
panic!("intentional panic to poison mutex");
});
let _ = handle.join();
assert!(cache.inner.lock().is_err(), "mutex should be poisoned");
}
#[tokio::test]
async fn test_try_get_recovers_from_poisoned_lock() {
let cache = new_cache();
let count = Arc::new(AtomicUsize::new(0));
// Seed a value first
cache.get(ok_fetcher(count.clone(), "hello")).await.unwrap();
cache.get(ok_fetcher(count.clone(), "hello")).await.unwrap(); // peek
poison_cache(&cache);
// try_get() should not panic — it recovers via unwrap_or_else
let result = cache.try_get();
// The value may or may not be fresh depending on timing, but it must not panic
let _ = result;
}
#[tokio::test]
async fn test_get_recovers_from_poisoned_lock() {
let cache = new_cache();
let count = Arc::new(AtomicUsize::new(0));
poison_cache(&cache);
// get() should not panic — it recovers and can still fetch
let result = cache.get(ok_fetcher(count.clone(), "recovered")).await;
assert!(result.is_ok());
assert_eq!(result.unwrap(), "recovered");
}
#[tokio::test]
async fn test_seed_recovers_from_poisoned_lock() {
let cache = new_cache();
poison_cache(&cache);
// seed() should not panic
cache.seed("seeded".to_string());
}
#[tokio::test]
async fn test_invalidate_recovers_from_poisoned_lock() {
let cache = new_cache();
let count = Arc::new(AtomicUsize::new(0));
cache.get(ok_fetcher(count.clone(), "hello")).await.unwrap();
poison_cache(&cache);
// invalidate() should not panic
cache.invalidate();
}
}

View File

@@ -335,6 +335,85 @@ impl Stream for TimeoutStream {
}
}
/// A `Stream` wrapper that slices oversized batches to enforce a maximum batch length.
pub struct MaxBatchLengthStream {
inner: SendableRecordBatchStream,
max_batch_length: Option<usize>,
buffered_batch: Option<RecordBatch>,
buffered_offset: usize,
}
impl MaxBatchLengthStream {
pub fn new(inner: SendableRecordBatchStream, max_batch_length: usize) -> Self {
Self {
inner,
max_batch_length: (max_batch_length > 0).then_some(max_batch_length),
buffered_batch: None,
buffered_offset: 0,
}
}
pub fn new_boxed(
inner: SendableRecordBatchStream,
max_batch_length: usize,
) -> SendableRecordBatchStream {
if max_batch_length == 0 {
inner
} else {
Box::pin(Self::new(inner, max_batch_length))
}
}
}
impl RecordBatchStream for MaxBatchLengthStream {
fn schema(&self) -> SchemaRef {
self.inner.schema()
}
}
impl Stream for MaxBatchLengthStream {
type Item = DataFusionResult<RecordBatch>;
fn poll_next(
mut self: Pin<&mut Self>,
cx: &mut std::task::Context<'_>,
) -> std::task::Poll<Option<Self::Item>> {
loop {
let Some(max_batch_length) = self.max_batch_length else {
return Pin::new(&mut self.inner).poll_next(cx);
};
if let Some(batch) = self.buffered_batch.clone() {
if self.buffered_offset < batch.num_rows() {
let remaining = batch.num_rows() - self.buffered_offset;
let length = remaining.min(max_batch_length);
let sliced = batch.slice(self.buffered_offset, length);
self.buffered_offset += length;
if self.buffered_offset >= batch.num_rows() {
self.buffered_batch = None;
self.buffered_offset = 0;
}
return std::task::Poll::Ready(Some(Ok(sliced)));
}
self.buffered_batch = None;
self.buffered_offset = 0;
}
match Pin::new(&mut self.inner).poll_next(cx) {
std::task::Poll::Ready(Some(Ok(batch))) => {
if batch.num_rows() <= max_batch_length {
return std::task::Poll::Ready(Some(Ok(batch)));
}
self.buffered_batch = Some(batch);
self.buffered_offset = 0;
}
other => return other,
}
}
}
}
#[cfg(test)]
mod tests {
use arrow_array::Int32Array;
@@ -470,7 +549,7 @@ mod tests {
assert_eq!(string_to_datatype(string), Some(expected));
}
fn sample_batch() -> RecordBatch {
fn sample_batch(num_rows: i32) -> RecordBatch {
let schema = Arc::new(Schema::new(vec![Field::new(
"col1",
DataType::Int32,
@@ -478,14 +557,14 @@ mod tests {
)]));
RecordBatch::try_new(
schema.clone(),
vec![Arc::new(Int32Array::from(vec![1, 2, 3]))],
vec![Arc::new(Int32Array::from_iter_values(0..num_rows))],
)
.unwrap()
}
#[tokio::test]
async fn test_timeout_stream() {
let batch = sample_batch();
let batch = sample_batch(3);
let schema = batch.schema();
let mock_stream = stream::iter(vec![Ok(batch.clone()), Ok(batch.clone())]);
@@ -515,7 +594,7 @@ mod tests {
#[tokio::test]
async fn test_timeout_stream_zero_duration() {
let batch = sample_batch();
let batch = sample_batch(3);
let schema = batch.schema();
let mock_stream = stream::iter(vec![Ok(batch.clone()), Ok(batch.clone())]);
@@ -534,7 +613,7 @@ mod tests {
#[tokio::test]
async fn test_timeout_stream_completes_normally() {
let batch = sample_batch();
let batch = sample_batch(3);
let schema = batch.schema();
let mock_stream = stream::iter(vec![Ok(batch.clone()), Ok(batch.clone())]);
@@ -552,4 +631,35 @@ mod tests {
// Stream should be empty now
assert!(timeout_stream.next().await.is_none());
}
async fn collect_batch_sizes(
stream: SendableRecordBatchStream,
max_batch_length: usize,
) -> Vec<usize> {
let mut sliced_stream = MaxBatchLengthStream::new(stream, max_batch_length);
sliced_stream
.by_ref()
.map(|batch| batch.unwrap().num_rows())
.collect::<Vec<_>>()
.await
}
#[tokio::test]
async fn test_max_batch_length_stream_behaviors() {
let schema = sample_batch(7).schema();
let mock_stream = stream::iter(vec![Ok(sample_batch(2)), Ok(sample_batch(7))]);
let sendable_stream: SendableRecordBatchStream =
Box::pin(RecordBatchStreamAdapter::new(schema.clone(), mock_stream));
assert_eq!(
collect_batch_sizes(sendable_stream, 3).await,
vec![2, 3, 3, 1]
);
let sendable_stream: SendableRecordBatchStream = Box::pin(RecordBatchStreamAdapter::new(
schema,
stream::iter(vec![Ok(sample_batch(2)), Ok(sample_batch(7))]),
));
assert_eq!(collect_batch_sizes(sendable_stream, 0).await, vec![2, 7]);
}
}