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https://github.com/lancedb/lancedb.git
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feat: refresh_column_async returns a job handle (#3939)
Mirrors create_index's dual surface: the blocking refresh_column keeps
returning {rows_filled, version}, and refresh_column_async returns the
same
Job handle create_index uses, running the refresh as an in-process task.
Invalid input is reported by the submitting call rather than by the job.
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@@ -342,6 +342,7 @@ class Table:
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self, columns: list[tuple[str, str]]
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) -> AddColumnsResult: ...
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async def refresh_column(self, column: str) -> RefreshColumnResult: ...
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async def refresh_column_async(self, column: str) -> Job: ...
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async def add_columns_with_schema(self, schema: pa.Schema) -> AddColumnsResult: ...
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async def alter_columns(
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self, columns: list[dict[str, Any]]
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@@ -973,6 +973,9 @@ class RemoteTable(Table):
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def refresh_column(self, column: str):
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raise NotImplementedError("computed columns are supported only on local tables")
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def refresh_column_async(self, column: str) -> Job:
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raise NotImplementedError("computed columns are supported only on local tables")
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def alter_columns(
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self, *alterations: Iterable[Dict[str, str]]
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) -> AlterColumnsResult:
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@@ -2002,6 +2002,31 @@ class Table(ABC):
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version: the new version number of the table.
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"""
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@abstractmethod
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def refresh_column_async(self, column: str) -> Job:
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"""
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Like :meth:`refresh_column`, but returns a handle to the refresh job
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instead of blocking until it completes.
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The job may already be complete when returned; callers must not assume
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the column is filled until :meth:`Job.wait` returns. Invalid input --
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an unknown column, or one that is not computed -- raises here rather
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than failing the job. Local tables only; LanceDB Cloud and Enterprise
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raise ``NotImplementedError``.
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Examples
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--------
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>>> import lancedb
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>>> db = lancedb.connect("./.lancedb")
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>>> table = db.create_table("computed_job_demo", [{"x": 1}, {"x": 2}])
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>>> table.add_columns(computed={"doubled": "x * 2"})
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AddColumnsResult(version=2)
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>>> job = table.refresh_column_async("doubled")
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>>> job.wait()
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>>> job.status()
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'finished'
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"""
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@abstractmethod
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def alter_columns(self, *alterations: Iterable[Dict[str, str]]):
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"""
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@@ -4020,6 +4045,13 @@ class LanceTable(Table):
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[`AsyncTable.refresh_column`][lancedb.AsyncTable.refresh_column]."""
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return LOOP.run(self._table.refresh_column(column))
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def refresh_column_async(self, column: str) -> Job:
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"""Fill a computed column's unfilled rows, returning a handle to the
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refresh job. See
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[`Table.refresh_column_async`][lancedb.table.Table.refresh_column_async].
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"""
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return Job(LOOP.run(self._table.refresh_column_async(column)))
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def alter_columns(
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self, *alterations: Iterable[Dict[str, str]]
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) -> AlterColumnsResult:
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@@ -6018,6 +6050,33 @@ class AsyncTable:
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"""
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return await self._inner.refresh_column(column)
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async def refresh_column_async(self, column: str) -> AsyncJob:
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"""
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Like :meth:`refresh_column`, but returns a handle to the refresh job
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instead of blocking until it completes.
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The job may already be complete when returned; callers must not assume
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the column is filled until :meth:`AsyncJob.wait` resolves. Invalid
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input -- an unknown column, or one that is not computed -- raises here
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rather than failing the job. Local tables only; LanceDB Cloud and
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Enterprise raise ``NotImplementedError``.
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Examples
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--------
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>>> import asyncio
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>>> import lancedb
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>>> async def refresh_in_background():
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... db = await lancedb.connect_async("./.lancedb")
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... table = await db.create_table("computed_job_async_demo", [{"x": 1}])
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... await table.add_columns(computed={"doubled": "x * 2"})
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... job = await table.refresh_column_async("doubled")
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... await job.wait()
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... return await job.status()
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>>> asyncio.run(refresh_in_background())
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'finished'
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"""
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return AsyncJob(await self._inner.refresh_column_async(column))
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async def alter_columns(
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self, *alterations: Iterable[dict[str, Any]]
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) -> AlterColumnsResult:
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@@ -3888,3 +3888,31 @@ async def test_computed_column_async(tmp_path):
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await table.refresh_column("tripled")
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assert (await table.to_arrow())["tripled"].to_pylist() == [9]
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def test_refresh_column_async_returns_job(tmp_path):
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db = lancedb.connect(tmp_path)
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table = db.create_table("computed_job", [{"x": 1}, {"x": 2}])
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table.add_columns(computed={"doubled": "x * 2"})
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job = table.refresh_column_async("doubled")
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assert job.id is None # in-process jobs have no server id
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job.wait()
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assert job.status() == "finished"
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assert sorted(table.to_arrow()["doubled"].to_pylist()) == [2, 4]
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# Bad input raises at the call, not through the job.
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with pytest.raises(Exception, match="not a computed column"):
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table.refresh_column_async("x")
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@pytest.mark.asyncio
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async def test_refresh_column_async_job_async_table(tmp_path):
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db = await lancedb.connect_async(tmp_path)
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table = await db.create_table("computed_job_async", [{"x": 3}])
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await table.add_columns(computed={"tripled": "x * 3"})
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job = await table.refresh_column_async("tripled")
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await job.wait()
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assert await job.status() == "finished"
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assert (await table.to_arrow())["tripled"].to_pylist() == [9]
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@@ -1559,6 +1559,17 @@ impl Table {
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})
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}
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pub fn refresh_column_async(
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self_: PyRef<'_, Self>,
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column: String,
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) -> PyResult<Bound<'_, PyAny>> {
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let inner = self_.inner_ref()?.clone();
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future_into_py(self_.py(), async move {
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let job = inner.refresh_column_async(column).await.infer_error()?;
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Ok(crate::job::Job::new(job))
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})
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}
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pub fn add_columns_with_schema(
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self_: PyRef<'_, Self>,
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schema: PyArrowType<Schema>,
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