Merge integration submodule (refresh_column JobHandle / create_mv fix) into lineage

This commit is contained in:
Wyatt Alt
2026-06-16 08:58:52 -07:00
committed by Jack Ye
2 changed files with 11 additions and 6 deletions

View File

@@ -677,7 +677,7 @@ class DBConnection(EnforceOverrides):
job_id = LOOP.run(
self._conn.create_materialized_view(
name,
query,
query=query,
auto_refresh=auto_refresh,
with_no_data=with_no_data,
partition_by=partition_by,
@@ -741,7 +741,7 @@ class DBConnection(EnforceOverrides):
instead of the default incremental refresh.
"""
return LOOP.run(
self._conn.refresh_materialized_view(
self._conn._refresh_materialized_view(
name,
full=full,
src_version=src_version,

View File

@@ -3813,22 +3813,26 @@ class LanceTable(Table):
max_workers: Optional[int] = None,
batch_size: Optional[int] = None,
priority: Optional[str] = None,
) -> str:
) -> "JobHandle":
"""Trigger recompute of computed columns (REFRESH COLUMN).
The expression is resolved server-side from each column's stored
binding; columns bound to the same struct-returning function
refresh together. Returns the refresh job id. Server-backed
feature (LanceDB Enterprise / Cloud).
refresh together. Returns a `JobHandle` to wait on, poll, or cancel
(``tbl.refresh_column("col").wait()``) -- mirrors
`MaterializedView.refresh()`. Server-backed feature (LanceDB
Enterprise / Cloud).
num_workers / max_workers / batch_size / priority are per-refresh
scheduling knobs (how to run THIS refresh) and override any default
the function carries. `priority` is a Kueue tier
(training | interactive | backfill).
"""
from .udf import JobHandle
if isinstance(columns, str):
columns = [columns]
return LOOP.run(
job_id = LOOP.run(
self._table.refresh_column(
list(columns),
where=where,
@@ -3838,6 +3842,7 @@ class LanceTable(Table):
priority=priority,
)
)
return JobHandle(self._conn, job_id)
def alter_columns(
self, *alterations: Iterable[Dict[str, str]]