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feat: upgrade to lance 0.9.11 and expose merge_insert (#906)
This adds the python bindings requested in #870 The javascript/rust bindings will be added in a future PR.
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@@ -28,6 +28,7 @@ from lance.vector import vec_to_table
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from .common import DATA, VEC, VECTOR_COLUMN_NAME
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from .embeddings import EmbeddingFunctionConfig, EmbeddingFunctionRegistry
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from .merge import LanceMergeInsertBuilder
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from .pydantic import LanceModel, model_to_dict
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from .query import LanceQueryBuilder, Query
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from .util import (
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@@ -334,6 +335,64 @@ class Table(ABC):
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"""
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raise NotImplementedError
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def merge_insert(self, on: Union[str, Iterable[str]]) -> LanceMergeInsertBuilder:
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"""
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Returns a [`LanceMergeInsertBuilder`][lancedb.merge.LanceMergeInsertBuilder]
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that can be used to create a "merge insert" operation
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This operation can add rows, update rows, and remove rows all in a single
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transaction. It is a very generic tool that can be used to create
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behaviors like "insert if not exists", "update or insert (i.e. upsert)",
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or even replace a portion of existing data with new data (e.g. replace
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all data where month="january")
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The merge insert operation works by combining new data from a
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**source table** with existing data in a **target table** by using a
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join. There are three categories of records.
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"Matched" records are records that exist in both the source table and
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the target table. "Not matched" records exist only in the source table
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(e.g. these are new data) "Not matched by source" records exist only
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in the target table (this is old data)
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The builder returned by this method can be used to customize what
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should happen for each category of data.
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Please note that the data may appear to be reordered as part of this
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operation. This is because updated rows will be deleted from the
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dataset and then reinserted at the end with the new values.
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Parameters
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----------
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on: Union[str, Iterable[str]]
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A column (or columns) to join on. This is how records from the
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source table and target table are matched. Typically this is some
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kind of key or id column.
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Examples
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--------
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>>> import lancedb
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>>> data = pa.table({"a": [2, 1, 3], "b": ["a", "b", "c"]})
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>>> db = lancedb.connect("./.lancedb")
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>>> table = db.create_table("my_table", data)
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>>> new_data = pa.table({"a": [2, 3, 4], "b": ["x", "y", "z"]})
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>>> # Perform a "upsert" operation
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>>> table.merge_insert("a") \\
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... .when_matched_update_all() \\
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... .when_not_matched_insert_all() \\
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... .execute(new_data)
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>>> # The order of new rows is non-deterministic since we use
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>>> # a hash-join as part of this operation and so we sort here
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>>> table.to_arrow().sort_by("a").to_pandas()
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a b
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0 1 b
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1 2 x
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2 3 y
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3 4 z
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"""
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return LanceMergeInsertBuilder(self, on)
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@abstractmethod
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def search(
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self,
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@@ -414,6 +473,16 @@ class Table(ABC):
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def _execute_query(self, query: Query) -> pa.Table:
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pass
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@abstractmethod
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def _do_merge(
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self,
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merge: LanceMergeInsertBuilder,
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new_data: DATA,
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*,
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schema: Optional[pa.Schema] = None,
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):
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pass
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@abstractmethod
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def delete(self, where: str):
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"""Delete rows from the table.
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@@ -1196,6 +1265,18 @@ class LanceTable(Table):
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with_row_id=query.with_row_id,
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)
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def _do_merge(self, merge: LanceMergeInsertBuilder, new_data: DATA, *, schema=None):
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ds = self.to_lance()
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builder = ds.merge_insert(merge._on)
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if merge._when_matched_update_all:
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builder.when_matched_update_all()
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if merge._when_not_matched_insert_all:
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builder.when_not_matched_insert_all()
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if merge._when_not_matched_by_source_delete:
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cond = merge._when_not_matched_by_source_condition
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builder.when_not_matched_by_source_delete(cond)
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builder.execute(new_data, schema=schema)
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def cleanup_old_versions(
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self,
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older_than: Optional[timedelta] = None,
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