feat: update the commit function to work with transactions

python/python/lance/__init__.py

@@ -26,13 +26,20 @@
     pd = None
     ts_types = Union[datetime, str]
 
-from .dataset import LanceDataset, LanceScanner, __version__, write_dataset
+from .dataset import (
+    LanceDataset,
+    LanceOperation,
+    LanceScanner,
+    __version__,
+    write_dataset,
+)
 from .fragment import FragmentMetadata, LanceFragment
 from .schema import json_to_schema, schema_to_json
 from .util import sanitize_ts
 
 __all__ = [
     "LanceDataset",
+    "LanceOperation",
     "LanceScanner",
     "__version__",
     "write_dataset",

python/python/lance/dataset.py

@@ -17,6 +17,8 @@
 
 import json
 import os
+from abc import ABC, abstractmethod
+from dataclasses import dataclass
 from datetime import datetime, timedelta
 from functools import lru_cache
 from pathlib import Path
@@ -31,7 +33,7 @@
 from .commit import CommitLock
 from .fragment import FragmentMetadata, LanceFragment
 from .lance import __version__ as __version__
-from .lance import _Dataset, _Scanner, _write_dataset
+from .lance import _Dataset, _Operation, _Scanner, _write_dataset
 
 try:
     import pandas as pd
@@ -680,21 +682,37 @@ def create_index(
     @staticmethod
     def _commit(
         base_uri: Union[str, Path],
-        new_schema: pa.Schema,
-        fragments: Iterable[FragmentMetadata],
-        mode: str = "append",
+        operation: LanceOperation.BaseOperation,
+        read_version: Optional[int] = None,
+        commit_lock: Optional[CommitLock] = None,
     ) -> LanceDataset:
-        """Create a new version of dataset with collected fragments.
+        """Create a new version of dataset
+
+        This method is an advanced method which allows users to describe a change
+        that has been made to the data files.  This method is not needed when using
+        Lance to apply changes (e.g. when using :py:class:`LanceDataset` or
+        :py:func:`write_dataset`.)
+
+        It's current purpose is to allow for changes being made in a distributed
+        environment where no single process is doing all of the work.  For example,
+        a distributed bulk update or a distributed bulk modify operation.
 
-        This method allows users to commit a version of dataset in a distributed
-        environment.
+        Once all of the changes have been made, this method can be called to make
+        the changes visible by updating the dataset manifest.
 
         Parameters
         ----------
-        new_schema : pa.Schema
-            The schema for the new version of dataset.
-        fragments : list[FragmentMetadata]
-            The fragments to create new version of dataset.
+        base_uri: str or Path
+            The base uri of the dataset
+        operation: BaseOperation
+            The operation to apply to the dataset.  This describes what changes
+            have been made.
+        read_version: int, optional
+            The version of the dataset that was used as the base for the changes.
+            This is not needed for overwrite or restore operations.
+        commit_lock : CommitLock, optional
+            A custom commit lock.  Only needed if your object store does not support
+            atomic commits.  See the user guide for more details.
 
         Returns
         -------
@@ -708,8 +726,21 @@ def _commit(
         """
         if isinstance(base_uri, Path):
             base_uri = str(base_uri)
-        if not isinstance(new_schema, pa.Schema):
-            raise TypeError(f"schema must be pyarrow.Schema, got {type(new_schema)}")
+
+        if commit_lock:
+            if not callable(commit_lock):
+                raise TypeError(
+                    f"commit_lock must be a function, got {type(commit_lock)}"
+                )
+
+        _Dataset.commit(base_uri, operation._to_inner(), read_version, commit_lock)
+        return LanceDataset(base_uri)
+
+
+# LanceOperation is a namespace for operations that can be applied to a dataset.
+class LanceOperation:
+    @staticmethod
+    def _validate_fragments(fragments):
         if not isinstance(fragments, list):
             raise TypeError(
                 f"fragments must be list[FragmentMetadata], got {type(fragments)}"
@@ -720,10 +751,86 @@ def _commit(
             raise TypeError(
                 f"fragments must be list[FragmentMetadata], got {type(fragments[0])}"
             )
-        raw_fragments = [f._metadata for f in fragments]
-        # TODO: make fragments as a generator
-        _Dataset.commit(base_uri, new_schema, raw_fragments)
-        return LanceDataset(base_uri)
+
+    class BaseOperation(ABC):
+        @abstractmethod
+        def _to_inner(self):
+            raise NotImplementedError()
+
+    @dataclass
+    class Overwrite(BaseOperation):
+        new_schema: pa.Schema
+        fragments: Iterable[FragmentMetadata]
+
+        def __post_init__(self):
+            if not isinstance(self.new_schema, pa.Schema):
+                raise TypeError(
+                    f"schema must be pyarrow.Schema, got {type(self.new_schema)}"
+                )
+            LanceOperation._validate_fragments(self.fragments)
+
+        def _to_inner(self):
+            raw_fragments = [f._metadata for f in self.fragments]
+            return _Operation.overwrite(self.new_schema, raw_fragments)
+
+    @dataclass
+    class Append(BaseOperation):
+        fragments: Iterable[FragmentMetadata]
+
+        def __post_init__(self):
+            LanceOperation._validate_fragments(self.fragments)
+
+        def _to_inner(self):
+            raw_fragments = [f._metadata for f in self.fragments]
+            return _Operation.append(raw_fragments)
+
+    @dataclass
+    class Delete(BaseOperation):
+        updated_fragments: Iterable[FragmentMetadata]
+        deleted_fragment_ids: Iterable[int]
+        predicate: str
+
+        def __post_init__(self):
+            LanceOperation._validate_fragments(self.updated_fragments)
+
+        def _to_inner(self):
+            raw_updated_fragments = [f._metadata for f in self.updated_fragments]
+            return _Operation.delete(
+                raw_updated_fragments, self.deleted_fragment_ids, self.predicate
+            )
+
+    @dataclass
+    class Rewrite(BaseOperation):
+        old_fragments: Iterable[FragmentMetadata]
+        new_fragments: Iterable[FragmentMetadata]
+
+        def __post_init__(self):
+            LanceOperation._validate_fragments(self.old_fragments)
+            LanceOperation._validate_fragments(self.new_fragments)
+
+        def _to_inner(self):
+            raw_old_fragments = [f._metadata for f in self.old_fragments]
+            raw_new_fragments = [f._metadata for f in self.new_fragments]
+            return _Operation.rewrite(raw_old_fragments, raw_new_fragments)
+
+    @dataclass
+    class Merge(BaseOperation):
+        fragments: Iterable[FragmentMetadata]
+        schema: pa.Schema
+
+        def __post_init__(self):
+            LanceOperation._validate_fragments(self.fragments)
+
+        def _to_inner(self):
+            raw_fragments = [f._metadata for f in self.fragments]
+            return _Operation.merge(raw_fragments, self.schema)
+
+    @dataclass
+    class Restore(BaseOperation):
+        version: int
+
+        def _to_inner(self):
+            return _Operation.restore(self.version)
 
 
 class ScannerBuilder:
@@ -991,6 +1098,9 @@ def write_dataset(
         The max number of rows to write before starting a new file
     max_rows_per_group: int, default 1024
         The max number of rows before starting a new group (in the same file)
+    commit_lock : CommitLock, optional
+        A custom commit lock.  Only needed if your object store does not support
+        atomic commits.  See the user guide for more details.
 
     """
     reader = _coerce_reader(data_obj, schema)

python/python/lance/fragment.py

@@ -347,4 +347,4 @@ def metadata(self) -> FragmentMetadata:
         FragmentMetadata
         """
 
-        return FragmentMetadata(self._fragment.metadata())
+        return FragmentMetadata(self._fragment.metadata().json())

python/python/tests/test_dataset.py

@@ -362,7 +362,8 @@ def adder(batch: pa.RecordBatch) -> pa.RecordBatch:
     fragment_metadata = fragment.add_columns(adder, columns=["a"])
     schema = dataset.schema.append(pa.field("c", pa.int64()))
 
-    dataset = lance.LanceDataset._commit(base_dir, schema, [fragment_metadata])
+    operation = lance.LanceOperation.Overwrite(schema, [fragment_metadata])
+    dataset = lance.LanceDataset._commit(base_dir, operation)
     assert dataset.schema == schema
 
     tbl = dataset.to_table()
@@ -371,16 +372,126 @@ def adder(batch: pa.RecordBatch) -> pa.RecordBatch:
     )
 
 
-def test_create_from_fragments(tmp_path: Path):
+def test_create_from_commit(tmp_path: Path):
     table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
     base_dir = tmp_path / "test"
     fragment = lance.fragment.LanceFragment.create(base_dir, table)
 
-    dataset = lance.LanceDataset._commit(base_dir, table.schema, [fragment])
+    operation = lance.LanceOperation.Overwrite(table.schema, [fragment])
+    dataset = lance.LanceDataset._commit(base_dir, operation)
     tbl = dataset.to_table()
     assert tbl == table
 
 
+def test_append_with_commit(tmp_path: Path):
+    table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
+    base_dir = tmp_path / "test"
+
+    lance.write_dataset(table, base_dir)
+
+    fragment = lance.fragment.LanceFragment.create(base_dir, table)
+    append = lance.LanceOperation.Append([fragment])
+
+    with pytest.raises(OSError):
+        # Must specify read version
+        dataset = lance.LanceDataset._commit(base_dir, append)
+
+    dataset = lance.LanceDataset._commit(base_dir, append, read_version=1)
+
+    tbl = dataset.to_table()
+
+    expected = pa.Table.from_pydict(
+        {
+            "a": list(range(100)) + list(range(100)),
+            "b": list(range(100)) + list(range(100)),
+        }
+    )
+    assert tbl == expected
+
+
+def test_delete_with_commit(tmp_path: Path):
+    table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
+    base_dir = tmp_path / "test"
+
+    lance.write_dataset(table, base_dir)
+    lance.write_dataset(table, base_dir, mode="append")
+
+    half_table = pa.Table.from_pydict({"a": range(50), "b": range(50)})
+
+    fragments = lance.dataset(base_dir).get_fragments()
+
+    updated_fragment = fragments[0].delete("a >= 50")
+    delete = lance.LanceOperation.Delete(
+        [updated_fragment], [fragments[1].fragment_id], "hello"
+    )
+
+    dataset = lance.LanceDataset._commit(base_dir, delete, read_version=2)
+
+    tbl = dataset.to_table()
+    assert tbl == half_table
+
+
+def test_rewrite_with_commit(tmp_path: Path):
+    table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
+    base_dir = tmp_path / "test"
+
+    lance.write_dataset(table, base_dir)
+    lance.write_dataset(table, base_dir, mode="append")
+
+    combined = pa.Table.from_pydict(
+        {
+            "a": list(range(100)) + list(range(100)),
+            "b": list(range(100)) + list(range(100)),
+        }
+    )
+
+    to_be_rewrote = [lf.metadata for lf in lance.dataset(base_dir).get_fragments()]
+
+    fragment = lance.fragment.LanceFragment.create(base_dir, combined)
+    rewrite = lance.LanceOperation.Rewrite(to_be_rewrote, [fragment])
+
+    dataset = lance.LanceDataset._commit(base_dir, rewrite, read_version=1)
+
+    tbl = dataset.to_table()
+    assert tbl == combined
+
+    assert len(lance.dataset(base_dir).get_fragments()) == 1
+
+
+def test_restore_with_commit(tmp_path: Path):
+    table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
+    base_dir = tmp_path / "test"
+
+    lance.write_dataset(table, base_dir)
+    lance.write_dataset(table, base_dir, mode="append")
+
+    restore = lance.LanceOperation.Restore(1)
+    dataset = lance.LanceDataset._commit(base_dir, restore)
+
+    tbl = dataset.to_table()
+    assert tbl == table
+
+
+def test_merge_with_commit(tmp_path: Path):
+    table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
+    base_dir = tmp_path / "test"
+
+    lance.write_dataset(table, base_dir)
+
+    fragment = lance.dataset(base_dir).get_fragments()[0]
+    merged = fragment.add_columns(
+        lambda _: pa.RecordBatch.from_pydict({"c": range(100)})
+    )
+
+    expected = pa.Table.from_pydict({"a": range(100), "b": range(100), "c": range(100)})
+
+    merge = lance.LanceOperation.Merge([merged], expected.schema)
+    dataset = lance.LanceDataset._commit(base_dir, merge, read_version=1)
+
+    tbl = dataset.to_table()
+    assert tbl == expected
+
+
 def test_data_files(tmp_path: Path):
     table = pa.Table.from_pydict({"a": range(100), "b": range(100)})
     base_dir = tmp_path / "test"
@@ -411,7 +522,8 @@ def test_deletion_file(tmp_path: Path):
     assert new_fragment.deletion_file() is not None
     assert re.match("_deletions/0-1-[0-9]{1,32}.arrow", new_fragment.deletion_file())
     print(type(new_fragment), new_fragment)
-    dataset = lance.LanceDataset._commit(base_dir, table.schema, [new_fragment])
+    operation = lance.LanceOperation.Overwrite(table.schema, [new_fragment])
+    dataset = lance.LanceDataset._commit(base_dir, operation)
     assert dataset.count_rows() == 90
 
 
@@ -429,7 +541,8 @@ def test_commit_fragments_via_scanner(tmp_path: Path):
     unpickled = pickle.loads(pickled)
     assert fragment_metadata == unpickled
 
-    dataset = lance.LanceDataset._commit(base_dir, table.schema, [fragment_metadata])
+    operation = lance.LanceOperation.Overwrite(table.schema, [fragment_metadata])
+    dataset = lance.LanceDataset._commit(base_dir, operation)
     assert dataset.schema == table.schema
 
     tbl = dataset.to_table()

python/python/tests/test_fragment.py

@@ -20,7 +20,7 @@
 import pandas as pd
 import pyarrow as pa
 import pytest
-from lance import FragmentMetadata, LanceDataset, LanceFragment
+from lance import FragmentMetadata, LanceDataset, LanceFragment, LanceOperation
 from lance.progress import FileSystemFragmentWriteProgress, FragmentWriteProgress
 
 
@@ -50,7 +50,9 @@ def test_write_fragment_two_phases(tmp_path: Path):
     fragments = [FragmentMetadata.from_json(j) for j in json_array]
 
     schema = pa.schema([pa.field("a", pa.int64())])
-    dataset = LanceDataset._commit(tmp_path, schema, fragments)
+
+    operation = LanceOperation.Overwrite(schema, fragments)
+    dataset = LanceDataset._commit(tmp_path, operation)
 
     df = dataset.to_table().to_pandas()
     pd.testing.assert_frame_equal(