feat: use pyarrow stream compression, if available

google/cloud/bigquery/_pandas_helpers.py

@@ -33,6 +33,14 @@
 except ImportError:  # pragma: NO COVER
     pyarrow = None
 
+try:
+    from google.cloud.bigquery_storage import ArrowSerializationOptions
+except ImportError:
+    _ARROW_COMPRESSION_SUPPORT = False
+else:
+    # Having BQ Storage available implies that pyarrow >=1.0.0 is available, too.
+    _ARROW_COMPRESSION_SUPPORT = True
+
 from google.cloud.bigquery import schema
 
 
@@ -631,6 +639,11 @@ def _download_table_bqstorage(
         for field in selected_fields:
             requested_session.read_options.selected_fields.append(field.name)
 
+    if _ARROW_COMPRESSION_SUPPORT:
+        requested_session.read_options.arrow_serialization_options.buffer_compression = (
+            ArrowSerializationOptions.CompressionCodec.LZ4_FRAME
+        )
+
     session = bqstorage_client.create_read_session(
         parent="projects/{}".format(project_id),
         read_session=requested_session,

google/cloud/bigquery/dbapi/cursor.py

@@ -19,6 +19,14 @@
 import copy
 import logging
 
+try:
+    from google.cloud.bigquery_storage import ArrowSerializationOptions
+except ImportError:
+    _ARROW_COMPRESSION_SUPPORT = False
+else:
+    # Having BQ Storage available implies that pyarrow >=1.0.0 is available, too.
+    _ARROW_COMPRESSION_SUPPORT = True
+
 from google.cloud.bigquery import job
 from google.cloud.bigquery.dbapi import _helpers
 from google.cloud.bigquery.dbapi import exceptions
@@ -255,6 +263,12 @@ def _bqstorage_fetch(self, bqstorage_client):
             table=table_reference.to_bqstorage(),
             data_format=bigquery_storage.types.DataFormat.ARROW,
         )
+
+        if _ARROW_COMPRESSION_SUPPORT:
+            requested_session.read_options.arrow_serialization_options.buffer_compression = (
+                ArrowSerializationOptions.CompressionCodec.LZ4_FRAME
+            )
+
         read_session = bqstorage_client.create_read_session(
             parent="projects/{}".format(table_reference.project),
             read_session=requested_session,

tests/system/test_client.py

@@ -28,7 +28,6 @@
 
 import psutil
 import pytest
-import pkg_resources
 
 from google.cloud.bigquery._pandas_helpers import _BIGNUMERIC_SUPPORT
 from . import helpers
@@ -116,13 +115,6 @@
     (TooManyRequests, InternalServerError, ServiceUnavailable)
 )
 
-PYARROW_MINIMUM_VERSION = pkg_resources.parse_version("0.17.0")
-
-if pyarrow:
-    PYARROW_INSTALLED_VERSION = pkg_resources.get_distribution("pyarrow").parsed_version
-else:
-    PYARROW_INSTALLED_VERSION = None
-
 MTLS_TESTING = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE") == "true"
 
 

tests/unit/job/test_query_pandas.py

@@ -41,6 +41,22 @@
 from .helpers import _make_job_resource
 
 
+@pytest.fixture
+def table_read_options_kwarg():
+    # Create a BigQuery Storage table read options object with pyarrow compression
+    # enabled if a recent-enough version of google-cloud-bigquery-storage dependency is
+    # installed to support the compression.
+    if not hasattr(bigquery_storage, "ArrowSerializationOptions"):
+        return {}
+
+    read_options = bigquery_storage.ReadSession.TableReadOptions(
+        arrow_serialization_options=bigquery_storage.ArrowSerializationOptions(
+            buffer_compression=bigquery_storage.ArrowSerializationOptions.CompressionCodec.LZ4_FRAME
+        )
+    )
+    return {"read_options": read_options}
+
+
 @pytest.mark.parametrize(
     "query,expected",
     (
@@ -82,7 +98,7 @@ def test__contains_order_by(query, expected):
         "SelecT name, age froM table OrdeR \n\t BY other_column;",
     ),
 )
-def test_to_dataframe_bqstorage_preserve_order(query):
+def test_to_dataframe_bqstorage_preserve_order(query, table_read_options_kwarg):
     from google.cloud.bigquery.job import QueryJob as target_class
 
     job_resource = _make_job_resource(
@@ -123,8 +139,10 @@ def test_to_dataframe_bqstorage_preserve_order(query):
     destination_table = "projects/{projectId}/datasets/{datasetId}/tables/{tableId}".format(
         **job_resource["configuration"]["query"]["destinationTable"]
     )
-    expected_session = bigquery_storage.types.ReadSession(
-        table=destination_table, data_format=bigquery_storage.types.DataFormat.ARROW,
+    expected_session = bigquery_storage.ReadSession(
+        table=destination_table,
+        data_format=bigquery_storage.DataFormat.ARROW,
+        **table_read_options_kwarg,
     )
     bqstorage_client.create_read_session.assert_called_once_with(
         parent="projects/test-project",
@@ -431,7 +449,7 @@ def test_to_dataframe_ddl_query():
 @pytest.mark.skipif(
     bigquery_storage is None, reason="Requires `google-cloud-bigquery-storage`"
 )
-def test_to_dataframe_bqstorage():
+def test_to_dataframe_bqstorage(table_read_options_kwarg):
     from google.cloud.bigquery.job import QueryJob as target_class
 
     resource = _make_job_resource(job_type="query", ended=True)
@@ -468,8 +486,10 @@ def test_to_dataframe_bqstorage():
     destination_table = "projects/{projectId}/datasets/{datasetId}/tables/{tableId}".format(
         **resource["configuration"]["query"]["destinationTable"]
     )
-    expected_session = bigquery_storage.types.ReadSession(
-        table=destination_table, data_format=bigquery_storage.types.DataFormat.ARROW,
+    expected_session = bigquery_storage.ReadSession(
+        table=destination_table,
+        data_format=bigquery_storage.DataFormat.ARROW,
+        **table_read_options_kwarg,
     )
     bqstorage_client.create_read_session.assert_called_once_with(
         parent=f"projects/{client.project}",
@@ -478,6 +498,52 @@ def test_to_dataframe_bqstorage():
     )
 
 
+@pytest.mark.skipif(pandas is None, reason="Requires `pandas`")
+@pytest.mark.skipif(
+    bigquery_storage is None, reason="Requires `google-cloud-bigquery-storage`"
+)
+def test_to_dataframe_bqstorage_no_pyarrow_compression():
+    from google.cloud.bigquery.job import QueryJob as target_class
+
+    resource = _make_job_resource(job_type="query", ended=True)
+    query_resource = {
+        "jobComplete": True,
+        "jobReference": resource["jobReference"],
+        "totalRows": "4",
+        "schema": {"fields": [{"name": "name", "type": "STRING", "mode": "NULLABLE"}]},
+    }
+    connection = _make_connection(query_resource)
+    client = _make_client(connection=connection)
+    job = target_class.from_api_repr(resource, client)
+    bqstorage_client = mock.create_autospec(bigquery_storage.BigQueryReadClient)
+    session = bigquery_storage.types.ReadSession()
+    session.avro_schema.schema = json.dumps(
+        {
+            "type": "record",
+            "name": "__root__",
+            "fields": [{"name": "name", "type": ["null", "string"]}],
+        }
+    )
+    bqstorage_client.create_read_session.return_value = session
+
+    with mock.patch(
+        "google.cloud.bigquery._pandas_helpers._ARROW_COMPRESSION_SUPPORT", new=False
+    ):
+        job.to_dataframe(bqstorage_client=bqstorage_client)
+
+    destination_table = "projects/{projectId}/datasets/{datasetId}/tables/{tableId}".format(
+        **resource["configuration"]["query"]["destinationTable"]
+    )
+    expected_session = bigquery_storage.ReadSession(
+        table=destination_table, data_format=bigquery_storage.DataFormat.ARROW,
+    )
+    bqstorage_client.create_read_session.assert_called_once_with(
+        parent=f"projects/{client.project}",
+        read_session=expected_session,
+        max_stream_count=0,
+    )
+
+
 @pytest.mark.skipif(pandas is None, reason="Requires `pandas`")
 def test_to_dataframe_column_dtypes():
     from google.cloud.bigquery.job import QueryJob as target_class

tests/unit/test_dbapi_cursor.py

@@ -123,6 +123,7 @@ def _mock_job(
                 schema=schema,
                 num_dml_affected_rows=num_dml_affected_rows,
             )
+            mock_job.destination.project = "P"
             mock_job.destination.to_bqstorage.return_value = (
                 "projects/P/datasets/DS/tables/T"
             )
@@ -380,6 +381,52 @@ def test_fetchall_w_bqstorage_client_fetch_error_no_fallback(self):
         # the default client was not used
         mock_client.list_rows.assert_not_called()
 
+    @unittest.skipIf(
+        bigquery_storage is None, "Requires `google-cloud-bigquery-storage`"
+    )
+    @unittest.skipIf(pyarrow is None, "Requires `pyarrow`")
+    def test_fetchall_w_bqstorage_client_no_arrow_compression(self):
+        from google.cloud.bigquery import dbapi
+        from google.cloud.bigquery import table
+
+        # Use unordered data to also test any non-determenistic key order in dicts.
+        row_data = [table.Row([1.2, 1.1], {"bar": 1, "foo": 0})]
+        bqstorage_streamed_rows = [{"bar": _to_pyarrow(1.2), "foo": _to_pyarrow(1.1)}]
+
+        mock_client = self._mock_client(rows=row_data)
+        mock_bqstorage_client = self._mock_bqstorage_client(
+            stream_count=1, rows=bqstorage_streamed_rows,
+        )
+
+        connection = dbapi.connect(
+            client=mock_client, bqstorage_client=mock_bqstorage_client,
+        )
+        cursor = connection.cursor()
+        cursor.execute("SELECT foo, bar FROM some_table")
+
+        with mock.patch(
+            "google.cloud.bigquery.dbapi.cursor._ARROW_COMPRESSION_SUPPORT", new=False
+        ):
+            rows = cursor.fetchall()
+
+        mock_client.list_rows.assert_not_called()  # The default client was not used.
+
+        # Check the BQ Storage session config.
+        expected_session = bigquery_storage.ReadSession(
+            table="projects/P/datasets/DS/tables/T",
+            data_format=bigquery_storage.DataFormat.ARROW,
+        )
+        mock_bqstorage_client.create_read_session.assert_called_once_with(
+            parent="projects/P", read_session=expected_session, max_stream_count=1
+        )
+
+        # Check the data returned.
+        field_value = op.itemgetter(1)
+        sorted_row_data = [sorted(row.items(), key=field_value) for row in rows]
+        expected_row_data = [[("foo", 1.1), ("bar", 1.2)]]
+
+        self.assertEqual(sorted_row_data, expected_row_data)
+
     def test_execute_custom_job_id(self):
         from google.cloud.bigquery.dbapi import connect