From 8f03cd771c580196e525870a17920bcafca5cd52 Mon Sep 17 00:00:00 2001 From: wangzheyan Date: Sun, 14 Jun 2026 22:56:44 +0800 Subject: [PATCH 1/2] refactor: prefer public segmented index API --- daft_lance/lance_scalar_index.py | 90 +++++-- pyproject.toml | 8 +- tests/io/lancedb/test_lancedb_scalar_index.py | 85 +++++++ uv.lock | 221 +++--------------- 4 files changed, 187 insertions(+), 217 deletions(-) diff --git a/daft_lance/lance_scalar_index.py b/daft_lance/lance_scalar_index.py index 7f63115..953d497 100644 --- a/daft_lance/lance_scalar_index.py +++ b/daft_lance/lance_scalar_index.py @@ -64,10 +64,11 @@ class SegmentedFragmentIndexHandler: Unlike ``FragmentIndexHandler``, which writes partial index files sharing a single UUID, this handler builds a fully independent index segment per - worker via the low-level ``_ds.create_index`` binding. The returned - ``lance.Index`` metadata (including ``index_details``) is serialised - (pickled) so it can cross Daft process/serialisation boundaries. The - coordinator then commits all segments atomically with + worker via Lance's public ``create_index_uncommitted`` API when available, + with a compatibility fallback for older Lance releases that expose the + method but only support vector columns. The returned ``lance.Index`` + metadata is serialised (pickled) so it can cross Daft process/serialisation + boundaries. The coordinator then commits all segments atomically with ``commit_existing_index_segments``. """ @@ -96,21 +97,68 @@ def __call__(self, fragment_ids: list[int]) -> bytes: self.index_type, ) - # _ds.create_index returns a lance.Index dataclass when fragment_ids - # is provided (uncommitted segment mode). - index_meta: lance.Index = self.lance_ds._ds.create_index( # type: ignore[call-arg] - [self.column], - self.index_type, + index_meta = _create_index_segment( + lance_ds=self.lance_ds, + column=self.column, + index_type=self.index_type, name=self.name, replace=self.replace, - train=True, - storage_options=None, - kwargs={"fragment_ids": fragment_ids, **self.kwargs}, + fragment_ids=fragment_ids, + **self.kwargs, ) return pickle.dumps(index_meta) +def _create_index_segment( + lance_ds: lance.LanceDataset, + *, + column: str, + index_type: str, + name: str, + replace: bool, + fragment_ids: list[int], + **kwargs: Any, +) -> lance.Index: + """Create one uncommitted index segment. + + Prefer Lance's public ``create_index_uncommitted`` API. ``pylance 7.0.0`` + exposes that method but only accepts vector columns, so scalar indexes need + the existing low-level fallback until the scalar public API is available in + released wheels. + """ + try: + return lance_ds.create_index_uncommitted( + column=column, + index_type=index_type, + name=name, + replace=replace, + train=True, + fragment_ids=fragment_ids, + **kwargs, + ) + except TypeError as exc: + message = str(exc) + if "Vector column" not in message or "FixedSizeListArray" not in message: + raise + + logger.info( + "Falling back to Lance's low-level uncommitted index segment API for %s; public scalar segment API is unavailable in this pylance version.", + index_type, + ) + + raw_dataset = cast(Any, lance_ds._ds) + return cast(lance.Index, raw_dataset.create_index( + [column], + index_type, + name=name, + replace=replace, + train=True, + storage_options=None, + kwargs={"fragment_ids": fragment_ids, **kwargs}, + )) + + def create_scalar_index_internal( lance_ds: lance.LanceDataset, uri: str | pathlib.Path, @@ -134,11 +182,10 @@ def create_scalar_index_internal( inverted full-text index type. When ``segmented=True`` and ``index_type`` is ``BTREE``, a cleaner segmented workflow - is used instead: each worker builds a fully independent index segment via the low-level - ``_ds.create_index`` binding (which returns ``lance.Index`` metadata including - ``index_details``), and the coordinator commits them atomically with - ``commit_existing_index_segments``. This resolves a known issue where ``index_details`` - was left empty in the legacy path, preventing ``describe_indices()`` from working. + is used instead: each worker builds a fully independent index segment, and the + coordinator commits them atomically with ``commit_existing_index_segments``. This + resolves a known issue where ``index_details`` was left empty in the legacy path, + preventing ``describe_indices()`` from working. """ if not column: raise ValueError("Column name cannot be empty") @@ -289,11 +336,10 @@ def _create_segmented_index( ) -> None: """Segmented index workflow: each worker builds an independent segment. - Workers call the low-level ``_ds.create_index`` binding (which returns - ``lance.Index`` metadata with ``index_details`` populated), pickle the - result so it can traverse Daft serialisation boundaries, and return it. - The coordinator unpickles all segments and commits them atomically via - ``commit_existing_index_segments``. + Workers call Lance's uncommitted index segment API, pickle the returned + ``lance.Index`` metadata so it can traverse Daft serialisation boundaries, + and return it. The coordinator unpickles all segments and commits them + atomically via ``commit_existing_index_segments``. """ handler_cls = daft.cls( SegmentedFragmentIndexHandler, diff --git a/pyproject.toml b/pyproject.toml index 638b4b0..e2b2b4a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -2,13 +2,13 @@ name = "daft-lance" version = "0.4.0" description = "Lance integration for Daft - compaction, indexing, merge columns, and REST operations" -requires-python = ">=3.10" +requires-python = ">=3.10,<3.14" license = "Apache-2.0" readme = "README.md" dependencies = [ "lance-namespace>=0.6.0", "lance-namespace-urllib3-client>=0.6.0", - "pylance>=7.0.0" + "pylance>=8.0.0b11" ] [dependency-groups] @@ -34,6 +34,10 @@ ignore_missing_imports = true warn_return_any = true warn_unused_configs = true +[tool.uv] +extra-index-url = ["https://pypi.fury.io/lance-format"] +index-strategy = "unsafe-best-match" + [build-system] requires = ["hatchling"] build-backend = "hatchling.build" diff --git a/tests/io/lancedb/test_lancedb_scalar_index.py b/tests/io/lancedb/test_lancedb_scalar_index.py index ffa011f..526d2cd 100644 --- a/tests/io/lancedb/test_lancedb_scalar_index.py +++ b/tests/io/lancedb/test_lancedb_scalar_index.py @@ -1,5 +1,6 @@ from __future__ import annotations +import pickle import tempfile from pathlib import Path @@ -9,6 +10,7 @@ import daft from daft.dependencies import pd from daft_lance import create_scalar_index +from daft_lance.lance_scalar_index import SegmentedFragmentIndexHandler @pytest.fixture @@ -601,6 +603,89 @@ def test_build_distributed_index_zonemap_invalid_string_column(self, temp_dir): class TestSegmentedBTreeIndex: """Test cases for segmented BTree index functionality.""" + def test_segmented_handler_uses_public_uncommitted_index_api(self): + """Test that segmented workers use Lance's public uncommitted index API.""" + + class FakeLanceDataset: + def __init__(self): + self.calls = [] + + @property + def _ds(self): + raise AssertionError("segmented index creation must not use private _ds.create_index") + + def create_index_uncommitted(self, **kwargs): + self.calls.append(kwargs) + return {"segment": "metadata"} + + fake_ds = FakeLanceDataset() + handler = SegmentedFragmentIndexHandler( + lance_ds=fake_ds, + column="price", + index_type="BTREE", + name="price_idx", + replace=True, + custom="value", + ) + + raw_segment = handler([1, 2]) + + assert pickle.loads(raw_segment) == {"segment": "metadata"} + assert fake_ds.calls == [ + { + "column": "price", + "index_type": "BTREE", + "name": "price_idx", + "replace": True, + "train": True, + "fragment_ids": [1, 2], + "custom": "value", + } + ] + + def test_segmented_handler_falls_back_when_public_scalar_api_is_unavailable(self): + """Test compatibility with Lance versions whose public API is vector-only.""" + + class FakeInnerDataset: + def __init__(self): + self.calls = [] + + def create_index(self, *args, **kwargs): + self.calls.append((args, kwargs)) + return {"segment": "fallback-metadata"} + + class FakeLanceDataset: + def __init__(self): + self._ds = FakeInnerDataset() + + def create_index_uncommitted(self, **kwargs): + raise TypeError("Vector column price must be FixedSizeListArray, got double") + + fake_ds = FakeLanceDataset() + handler = SegmentedFragmentIndexHandler( + lance_ds=fake_ds, + column="price", + index_type="BTREE", + name="price_idx", + replace=True, + ) + + raw_segment = handler([1, 2]) + + assert pickle.loads(raw_segment) == {"segment": "fallback-metadata"} + assert fake_ds._ds.calls == [ + ( + (["price"], "BTREE"), + { + "name": "price_idx", + "replace": True, + "train": True, + "storage_options": None, + "kwargs": {"fragment_ids": [1, 2]}, + }, + ) + ] + def test_segmented_btree_basic(self, temp_dir): """Test basic segmented BTree index creation and query.""" data = { diff --git a/uv.lock b/uv.lock index cea46b2..fa380b9 100644 --- a/uv.lock +++ b/uv.lock @@ -1,16 +1,16 @@ version = 1 revision = 3 -requires-python = ">=3.10" +requires-python = ">=3.10, <3.14" resolution-markers = [ - 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Segmented mode produces proper ``index_details`` so # ``describe_indices()`` works correctly. - if segmented and index_type == "BTREE": + if segmented and index_type in ("BTREE", "INVERTED"): _create_segmented_index( lance_ds=lance_ds, uri=uri, @@ -368,20 +370,34 @@ def _create_segmented_index( pickle.loads(raw) for raw in collected.to_pydict()["index_meta"] ] + # Reload dataset to pick up the latest version (segment files were written + # by workers against the version that was current at their invocation time). + lance_ds = lance.LanceDataset(uri, storage_options=storage_options) + index_metas = _prepare_index_segments_for_commit(lance_ds, index_type, index_metas) + logger.info( "Collected %d index segments; committing as segmented index %s", len(index_metas), name, ) - - # Reload dataset to pick up the latest version (segment files were written - # by workers against the version that was current at their invocation time). - lance_ds = lance.LanceDataset(uri, storage_options=storage_options) lance_ds.commit_existing_index_segments(name, column, index_metas) logger.info("Segmented index %s committed successfully", name) +def _prepare_index_segments_for_commit( + lance_ds: lance.LanceDataset, + index_type: str, + index_metas: list[lance.Index | lance.indices.IndexSegment], +) -> list[lance.Index | lance.indices.IndexSegment]: + """Prepare worker-built segments for the final manifest commit.""" + if index_type not in MERGED_SEGMENTED_INDEX_TYPES or len(index_metas) <= 1: + return index_metas + + merged = lance_ds.merge_existing_index_segments([cast(lance.Index, segment) for segment in index_metas]) + return [merged] + + def _create_partitioned_index( lance_ds: lance.LanceDataset, uri: str | pathlib.Path, diff --git a/tests/io/lancedb/test_lancedb_scalar_index.py b/tests/io/lancedb/test_lancedb_scalar_index.py index 526d2cd..782749e 100644 --- a/tests/io/lancedb/test_lancedb_scalar_index.py +++ b/tests/io/lancedb/test_lancedb_scalar_index.py @@ -10,7 +10,7 @@ import daft from daft.dependencies import pd from daft_lance import create_scalar_index -from daft_lance.lance_scalar_index import SegmentedFragmentIndexHandler +from daft_lance.lance_scalar_index import SegmentedFragmentIndexHandler, _prepare_index_segments_for_commit @pytest.fixture @@ -686,6 +686,38 @@ def create_index_uncommitted(self, **kwargs): ) ] + def test_segmented_inverted_segments_are_merged_before_commit(self): + """Test that INVERTED segments are merged into one physical segment before commit.""" + + class FakeLanceDataset: + def __init__(self): + self.calls = [] + + def merge_existing_index_segments(self, segments): + self.calls.append(segments) + return {"segment": "merged"} + + fake_ds = FakeLanceDataset() + segments = [{"segment": "a"}, {"segment": "b"}] + + prepared = _prepare_index_segments_for_commit(fake_ds, "INVERTED", segments) + + assert prepared == [{"segment": "merged"}] + assert fake_ds.calls == [segments] + + def test_segmented_btree_segments_are_committed_without_merge(self): + """Test that non-merged segmented index types keep their physical segments.""" + + class FakeLanceDataset: + def merge_existing_index_segments(self, segments): + raise AssertionError("BTREE segments must not be merged") + + segments = [{"segment": "a"}, {"segment": "b"}] + + prepared = _prepare_index_segments_for_commit(FakeLanceDataset(), "BTREE", segments) + + assert prepared is segments + def test_segmented_btree_basic(self, temp_dir): """Test basic segmented BTree index creation and query.""" data = { @@ -907,14 +939,10 @@ def test_segmented_false_uses_legacy_flow(self, temp_dir): index_names = [idx["name"] for idx in indices] assert "price_legacy_idx" in index_names - def test_segmented_inverted_falls_back_to_legacy(self, multi_fragment_lance_dataset): - """Test that segmented=True with INVERTED still uses the legacy flow. - - The segmented workflow currently only supports BTREE. - """ + def test_segmented_inverted_creates_index(self, multi_fragment_lance_dataset): + """Test that segmented=True with INVERTED creates an index.""" dataset_uri = multi_fragment_lance_dataset - # segmented=True but INVERTED => legacy flow is used create_scalar_index( uri=dataset_uri, column="text",