mirror of
https://github.com/lancedb/lancedb.git
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## Summary Surfaces the rich per-index metadata added in #3497 to the Python and Node.js language bindings. Closes #3495. New optional fields exposed on `IndexConfig` in both bindings: - `index_uuid` / `indexUuid` — UUID of the first index segment - `type_url` / `typeUrl` — protobuf type URL for the index - `created_at` / `createdAt` — creation timestamp (milliseconds since Unix epoch) - `num_indexed_rows` / `numIndexedRows` — rows covered by the index - `num_unindexed_rows` / `numUnindexedRows` — rows not yet indexed - `size_bytes` / `sizeBytes` — total index file size in bytes - `num_segments` / `numSegments` — number of index segments - `index_version` / `indexVersion` — on-disk format version - `index_details` / `indexDetails` — type-specific JSON details string All fields are `None`/`undefined` for remote tables (which don't yet surface this metadata through the server response). ## Changes - `python/src/index.rs`: extend `IndexConfig` pyclass; update `From` impl; update `__getitem__` - `python/python/lancedb/_lancedb.pyi`: add type hints for new fields - `python/python/tests/test_table.py`: new `test_index_config_fields` test - `nodejs/src/table.rs`: extend `IndexConfig` napi struct; update `From` impl - `nodejs/__test__/table.test.ts`: new test; update existing `toEqual` assertions to `expect.objectContaining` to accommodate new fields ## Test plan - [x] Python: `uv run --extra tests pytest python/tests/test_table.py::test_index_config_fields` - [x] Node.js: `pnpm test __test__/table.test.ts` 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
382 lines
16 KiB
Rust
382 lines
16 KiB
Rust
// SPDX-License-Identifier: Apache-2.0
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// SPDX-FileCopyrightText: Copyright The LanceDB Authors
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use chrono::{DateTime, Utc};
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use lancedb::index::vector::{
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IvfFlatIndexBuilder, IvfHnswFlatIndexBuilder, IvfHnswPqIndexBuilder, IvfHnswSqIndexBuilder,
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IvfPqIndexBuilder, IvfRqIndexBuilder, IvfSqIndexBuilder,
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};
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use lancedb::index::{
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Index as LanceDbIndex,
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scalar::{BTreeIndexBuilder, FmIndexBuilder, FtsIndexBuilder},
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};
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use pyo3::IntoPyObject;
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use pyo3::types::PyStringMethods;
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use pyo3::{
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Bound, FromPyObject, Py, PyAny, PyResult, Python,
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exceptions::{PyKeyError, PyValueError},
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intern, pyclass, pymethods,
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types::{PyAnyMethods, PyString},
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};
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use crate::util::parse_distance_type;
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pub fn class_name(ob: &'_ Bound<'_, PyAny>) -> PyResult<String> {
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let full_name = ob
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.getattr(intern!(ob.py(), "__class__"))?
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.getattr(intern!(ob.py(), "__name__"))?;
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let full_name = full_name.cast::<PyString>()?.to_string_lossy();
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match full_name.rsplit_once('.') {
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Some((_, name)) => Ok(name.to_string()),
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None => Ok(full_name.to_string()),
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}
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}
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pub fn extract_index_params(source: &Option<Bound<'_, PyAny>>) -> PyResult<LanceDbIndex> {
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if let Some(source) = source {
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match class_name(source)?.as_str() {
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"BTree" => Ok(LanceDbIndex::BTree(BTreeIndexBuilder::default())),
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"Bitmap" => Ok(LanceDbIndex::Bitmap(Default::default())),
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"LabelList" => Ok(LanceDbIndex::LabelList(Default::default())),
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"Fm" => Ok(LanceDbIndex::Fm(FmIndexBuilder::default())),
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"FTS" => {
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let params = source.extract::<FtsParams>()?;
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let inner_opts = FtsIndexBuilder::default()
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.base_tokenizer(params.base_tokenizer)
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.language(¶ms.language)
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.map_err(|_| {
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PyValueError::new_err(format!(
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"LanceDB does not support the requested language: '{}'",
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params.language
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))
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})?
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.with_position(params.with_position)
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.lower_case(params.lower_case)
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.max_token_length(params.max_token_length)
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.remove_stop_words(params.remove_stop_words)
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.stem(params.stem)
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.ascii_folding(params.ascii_folding)
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.ngram_min_length(params.ngram_min_length)
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.ngram_max_length(params.ngram_max_length)
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.ngram_prefix_only(params.prefix_only);
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Ok(LanceDbIndex::FTS(inner_opts))
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}
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"IvfFlat" => {
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let params = source.extract::<IvfFlatParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut ivf_flat_builder = IvfFlatIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate);
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if let Some(num_partitions) = params.num_partitions {
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ivf_flat_builder = ivf_flat_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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ivf_flat_builder =
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ivf_flat_builder.target_partition_size(target_partition_size);
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}
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Ok(LanceDbIndex::IvfFlat(ivf_flat_builder))
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}
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"IvfPq" => {
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let params = source.extract::<IvfPqParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut ivf_pq_builder = IvfPqIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate)
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.num_bits(params.num_bits);
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if let Some(num_partitions) = params.num_partitions {
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ivf_pq_builder = ivf_pq_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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ivf_pq_builder = ivf_pq_builder.target_partition_size(target_partition_size);
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}
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if let Some(num_sub_vectors) = params.num_sub_vectors {
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ivf_pq_builder = ivf_pq_builder.num_sub_vectors(num_sub_vectors);
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}
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Ok(LanceDbIndex::IvfPq(ivf_pq_builder))
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}
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"IvfSq" => {
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let params = source.extract::<IvfSqParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut ivf_sq_builder = IvfSqIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate);
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if let Some(num_partitions) = params.num_partitions {
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ivf_sq_builder = ivf_sq_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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ivf_sq_builder = ivf_sq_builder.target_partition_size(target_partition_size);
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}
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Ok(LanceDbIndex::IvfSq(ivf_sq_builder))
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}
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"IvfRq" => {
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let params = source.extract::<IvfRqParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut ivf_rq_builder = IvfRqIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate)
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.num_bits(params.num_bits);
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if let Some(num_partitions) = params.num_partitions {
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ivf_rq_builder = ivf_rq_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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ivf_rq_builder = ivf_rq_builder.target_partition_size(target_partition_size);
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}
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Ok(LanceDbIndex::IvfRq(ivf_rq_builder))
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}
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"HnswPq" => {
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let params = source.extract::<IvfHnswPqParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut hnsw_pq_builder = IvfHnswPqIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate)
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.num_edges(params.m)
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.ef_construction(params.ef_construction)
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.num_bits(params.num_bits);
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if let Some(num_partitions) = params.num_partitions {
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hnsw_pq_builder = hnsw_pq_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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hnsw_pq_builder = hnsw_pq_builder.target_partition_size(target_partition_size);
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}
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if let Some(num_sub_vectors) = params.num_sub_vectors {
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hnsw_pq_builder = hnsw_pq_builder.num_sub_vectors(num_sub_vectors);
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}
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Ok(LanceDbIndex::IvfHnswPq(hnsw_pq_builder))
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}
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"HnswSq" => {
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let params = source.extract::<IvfHnswSqParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut hnsw_sq_builder = IvfHnswSqIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate)
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.num_edges(params.m)
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.ef_construction(params.ef_construction);
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if let Some(num_partitions) = params.num_partitions {
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hnsw_sq_builder = hnsw_sq_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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hnsw_sq_builder = hnsw_sq_builder.target_partition_size(target_partition_size);
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}
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Ok(LanceDbIndex::IvfHnswSq(hnsw_sq_builder))
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}
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"HnswFlat" => {
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let params = source.extract::<IvfHnswFlatParams>()?;
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let distance_type = parse_distance_type(params.distance_type)?;
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let mut hnsw_flat_builder = IvfHnswFlatIndexBuilder::default()
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.distance_type(distance_type)
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.max_iterations(params.max_iterations)
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.sample_rate(params.sample_rate)
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.num_edges(params.m)
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.ef_construction(params.ef_construction);
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if let Some(num_partitions) = params.num_partitions {
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hnsw_flat_builder = hnsw_flat_builder.num_partitions(num_partitions);
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}
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if let Some(target_partition_size) = params.target_partition_size {
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hnsw_flat_builder =
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hnsw_flat_builder.target_partition_size(target_partition_size);
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}
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Ok(LanceDbIndex::IvfHnswFlat(hnsw_flat_builder))
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}
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not_supported => Err(PyValueError::new_err(format!(
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"Invalid index type '{}'. Must be one of BTree, Bitmap, LabelList, Fm, FTS, IvfPq, IvfSq, IvfHnswPq, IvfHnswSq, or IvfHnswFlat",
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not_supported
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))),
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}
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} else {
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Ok(LanceDbIndex::Auto)
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}
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}
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#[derive(FromPyObject)]
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struct FtsParams {
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with_position: bool,
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base_tokenizer: String,
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language: String,
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max_token_length: Option<usize>,
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lower_case: bool,
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stem: bool,
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remove_stop_words: bool,
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ascii_folding: bool,
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ngram_min_length: u32,
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ngram_max_length: u32,
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prefix_only: bool,
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}
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#[derive(FromPyObject)]
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struct IvfFlatParams {
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distance_type: String,
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num_partitions: Option<u32>,
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max_iterations: u32,
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sample_rate: u32,
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target_partition_size: Option<u32>,
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}
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#[derive(FromPyObject)]
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struct IvfPqParams {
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distance_type: String,
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num_partitions: Option<u32>,
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num_sub_vectors: Option<u32>,
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num_bits: u32,
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max_iterations: u32,
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sample_rate: u32,
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target_partition_size: Option<u32>,
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}
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#[derive(FromPyObject)]
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struct IvfSqParams {
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distance_type: String,
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num_partitions: Option<u32>,
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max_iterations: u32,
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sample_rate: u32,
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target_partition_size: Option<u32>,
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}
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#[derive(FromPyObject)]
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struct IvfRqParams {
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distance_type: String,
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num_partitions: Option<u32>,
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num_bits: u32,
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max_iterations: u32,
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sample_rate: u32,
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target_partition_size: Option<u32>,
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}
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#[derive(FromPyObject)]
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struct IvfHnswPqParams {
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distance_type: String,
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num_partitions: Option<u32>,
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num_sub_vectors: Option<u32>,
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num_bits: u32,
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max_iterations: u32,
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sample_rate: u32,
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m: u32,
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ef_construction: u32,
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target_partition_size: Option<u32>,
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}
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#[derive(FromPyObject)]
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struct IvfHnswSqParams {
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distance_type: String,
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num_partitions: Option<u32>,
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max_iterations: u32,
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sample_rate: u32,
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m: u32,
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ef_construction: u32,
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target_partition_size: Option<u32>,
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}
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#[derive(FromPyObject)]
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struct IvfHnswFlatParams {
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distance_type: String,
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num_partitions: Option<u32>,
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max_iterations: u32,
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sample_rate: u32,
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m: u32,
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ef_construction: u32,
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target_partition_size: Option<u32>,
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}
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#[pyclass(get_all)]
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/// A description of an index currently configured on a column
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pub struct IndexConfig {
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/// The type of the index
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pub index_type: String,
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/// The columns in the index
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///
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/// Currently this is always a list of size 1. In the future there may
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/// be more columns to represent composite indices.
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pub columns: Vec<String>,
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/// Name of the index.
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pub name: String,
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/// The UUID of the first segment of the index.
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pub index_uuid: Option<String>,
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/// The protobuf type URL, a precise type identifier for the index.
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pub type_url: Option<String>,
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/// When the index was created.
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pub created_at: Option<DateTime<Utc>>,
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/// The number of rows indexed, across all segments.
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pub num_indexed_rows: Option<u64>,
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/// The number of rows not yet covered by this index.
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pub num_unindexed_rows: Option<u64>,
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/// The total size in bytes of all index files across all segments.
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pub size_bytes: Option<u64>,
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/// The number of segments that make up the index.
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pub num_segments: Option<u32>,
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/// The on-disk index format version.
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pub index_version: Option<i32>,
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/// Index-type-specific details parsed as a Python object (dict, list, etc.).
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///
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/// Falls back to a raw string if JSON parsing fails. `None` when unavailable.
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pub index_details: Option<Py<PyAny>>,
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}
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#[pymethods]
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impl IndexConfig {
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pub fn __repr__(&self) -> String {
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format!(
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"Index({}, columns={:?}, name=\"{}\")",
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self.index_type, self.columns, self.name
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)
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}
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// For backwards-compatibility with the old sync SDK, we also support getting
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// attributes via __getitem__.
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pub fn __getitem__<'a>(&self, key: String, py: Python<'a>) -> PyResult<Bound<'a, PyAny>> {
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match key.as_str() {
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"index_type" => Ok(self.index_type.clone().into_pyobject(py)?.into_any()),
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"columns" => Ok(self.columns.clone().into_pyobject(py)?.into_any()),
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"name" | "index_name" => Ok(self.name.clone().into_pyobject(py)?.into_any()),
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"index_uuid" => Ok(self.index_uuid.clone().into_pyobject(py)?.into_any()),
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"type_url" => Ok(self.type_url.clone().into_pyobject(py)?.into_any()),
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"created_at" => Ok(self.created_at.into_pyobject(py)?.into_any()),
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"num_indexed_rows" => Ok(self.num_indexed_rows.into_pyobject(py)?.into_any()),
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"num_unindexed_rows" => Ok(self.num_unindexed_rows.into_pyobject(py)?.into_any()),
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"size_bytes" => Ok(self.size_bytes.into_pyobject(py)?.into_any()),
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"num_segments" => Ok(self.num_segments.into_pyobject(py)?.into_any()),
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"index_version" => Ok(self.index_version.into_pyobject(py)?.into_any()),
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"index_details" => Ok(self
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.index_details
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.as_ref()
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.map(|obj| obj.clone_ref(py))
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.into_pyobject(py)?
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.into_any()),
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_ => Err(PyKeyError::new_err(format!("Invalid key: {}", key))),
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}
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}
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}
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fn parse_index_details(py: Python<'_>, s: String) -> Py<PyAny> {
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let json = py.import("json").expect("json module is always available");
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match json.call_method1("loads", (s.as_str(),)) {
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Ok(obj) => obj.into_any().unbind(),
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Err(_) => s.into_pyobject(py).unwrap().into_any().unbind(),
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}
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}
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impl IndexConfig {
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pub fn from_lancedb(py: Python<'_>, value: lancedb::index::IndexConfig) -> Self {
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let index_type = format!("{:?}", value.index_type);
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Self {
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index_type,
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columns: value.columns,
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name: value.name,
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index_uuid: value.index_uuid,
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type_url: value.type_url,
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created_at: value.created_at,
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num_indexed_rows: value.num_indexed_rows,
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num_unindexed_rows: value.num_unindexed_rows,
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size_bytes: value.size_bytes,
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num_segments: value.num_segments,
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index_version: value.index_version,
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index_details: value.index_details.map(|s| parse_index_details(py, s)),
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}
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}
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}
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