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feat: create bitmap and label list scalar index using python async api (#1529)
* Expose `bitmap` and `LabelList` scalar index type via Rust and Async Python API * Add documents
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@@ -8,7 +8,7 @@ from ._lancedb import (
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)
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class BTree(object):
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class BTree:
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"""Describes a btree index configuration
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A btree index is an index on scalar columns. The index stores a copy of the
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@@ -22,7 +22,8 @@ class BTree(object):
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sizeof(Scalar) * 4096 bytes to find the correct row ids.
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This index is good for scalar columns with mostly distinct values and does best
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when the query is highly selective.
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when the query is highly selective. It works with numeric, temporal, and string
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columns.
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The btree index does not currently have any parameters though parameters such as
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the block size may be added in the future.
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@@ -32,7 +33,44 @@ class BTree(object):
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self._inner = LanceDbIndex.btree()
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class IvfPq(object):
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class Bitmap:
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"""Describe a Bitmap index configuration.
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A `Bitmap` index stores a bitmap for each distinct value in the column for
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every row.
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This index works best for low-cardinality numeric or string columns,
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where the number of unique values is small (i.e., less than a few thousands).
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`Bitmap` index can accelerate the following filters:
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- `<`, `<=`, `=`, `>`, `>=`
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- `IN (value1, value2, ...)`
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- `between (value1, value2)`
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- `is null`
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For example, a bitmap index with a table with 1Bi rows, and 128 distinct values,
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requires 128 / 8 * 1Bi bytes on disk.
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"""
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def __init__(self):
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self._inner = LanceDbIndex.bitmap()
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class LabelList:
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"""Describe a LabelList index configuration.
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`LabelList` is a scalar index that can be used on `List<T>` columns to
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support queries with `array_contains_all` and `array_contains_any`
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using an underlying bitmap index.
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For example, it works with `tags`, `categories`, `keywords`, etc.
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"""
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def __init__(self):
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self._inner = LanceDbIndex.label_list()
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class IvfPq:
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"""Describes an IVF PQ Index
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This index stores a compressed (quantized) copy of every vector. These vectors
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@@ -1,15 +1,5 @@
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# Copyright 2023 LanceDB Developers
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright The LanceDB Authors
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from __future__ import annotations
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@@ -61,7 +51,7 @@ if TYPE_CHECKING:
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from lance.dataset import CleanupStats, ReaderLike
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from ._lancedb import Table as LanceDBTable, OptimizeStats
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from .db import LanceDBConnection
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from .index import BTree, IndexConfig, IvfPq
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from .index import BTree, IndexConfig, IvfPq, Bitmap, LabelList
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pd = safe_import_pandas()
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@@ -2123,7 +2113,7 @@ class AsyncTable:
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column: str,
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*,
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replace: Optional[bool] = None,
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config: Optional[Union[IvfPq, BTree]] = None,
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config: Optional[Union[IvfPq, BTree, Bitmap, LabelList]] = None,
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):
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"""Create an index to speed up queries
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@@ -1,10 +1,14 @@
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# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright The LanceDB Authors
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from datetime import timedelta
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import random
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import pyarrow as pa
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import pytest
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import pytest_asyncio
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from lancedb import AsyncConnection, AsyncTable, connect_async
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from lancedb.index import BTree, IvfPq
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from lancedb.index import BTree, IvfPq, Bitmap, LabelList
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@pytest_asyncio.fixture
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@@ -25,8 +29,11 @@ NROWS = 256
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async def some_table(db_async):
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data = pa.Table.from_pydict(
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{
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"id": list(range(256)),
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"id": list(range(NROWS)),
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"vector": sample_fixed_size_list_array(NROWS, DIM),
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"tags": [
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[f"tag{random.randint(0, 8)}" for _ in range(2)] for _ in range(NROWS)
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],
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}
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)
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return await db_async.create_table(
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@@ -53,6 +60,22 @@ async def test_create_scalar_index(some_table: AsyncTable):
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await some_table.create_index("id", config=BTree())
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@pytest.mark.asyncio
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async def test_create_bitmap_index(some_table: AsyncTable):
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await some_table.create_index("id", config=Bitmap())
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# TODO: Fix via https://github.com/lancedb/lance/issues/2039
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# indices = await some_table.list_indices()
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# assert str(indices) == '[Index(Bitmap, columns=["id"])]'
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@pytest.mark.asyncio
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async def test_create_label_list_index(some_table: AsyncTable):
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await some_table.create_index("tags", config=LabelList())
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# TODO: Fix via https://github.com/lancedb/lance/issues/2039
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# indices = await some_table.list_indices()
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# assert str(indices) == '[Index(LabelList, columns=["id"])]'
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@pytest.mark.asyncio
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async def test_create_vector_index(some_table: AsyncTable):
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# Can create
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