Merge branch 'main' into b299514019-read-gbq-filter

bigframes/pandas/__init__.py

@@ -489,6 +489,7 @@ def read_gbq(
     max_results: Optional[int] = None,
     columns: Iterable[str] = (),
     filters: vendored_pandas_gbq.FiltersType = (),
+    use_cache: bool = True,
 ) -> bigframes.dataframe.DataFrame:
     _set_default_session_location_if_possible(query_or_table)
     return global_session.with_default_session(
@@ -499,6 +500,7 @@ def read_gbq(
         max_results=max_results,
         columns=columns,
         filters=filters,
+        use_cache=use_cache,
     )
 
 

bigframes/session/__init__.py

@@ -235,6 +235,7 @@ def read_gbq(
         max_results: Optional[int] = None,
         columns: Iterable[str] = (),
         filters: third_party_pandas_gbq.FiltersType = (),
+        use_cache: bool = True,
         # Add a verify index argument that fails if the index is not unique.
     ) -> dataframe.DataFrame:
         # TODO(b/281571214): Generate prompt to show the progress of read_gbq.

third_party/bigframes_vendored/pandas/io/gbq.py

@@ -21,6 +21,7 @@ def read_gbq(
         max_results: Optional[int] = None,
         columns: Iterable[str] = (),
         filters: FiltersType = (),
+        use_cache: bool = True,
     ):
         """Loads a DataFrame from BigQuery.
 
@@ -113,6 +114,8 @@ def read_gbq(
                 through an OR operation. A single Iterable of tuples can also
                 be used, meaning that no OR operation between set of filters
                 is to be conducted.
+            use_cache (bool, default True):
+                Whether to cache the query inputs. Default to True.
 
         Returns:
             bigframes.dataframe.DataFrame: A DataFrame representing results of the query or table.