pabloem commented on a change in pull request #12782:
URL: https://github.com/apache/beam/pull/12782#discussion_r493919948



##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner_test.py
##########
@@ -323,7 +316,9 @@ def test_no_group_by_key_directly_after_bigquery(self):
                          options=PipelineOptions(self.default_properties)) as 
p:
         # pylint: disable=expression-not-assigned
         p | beam.io.Read(
-            beam.io.BigQuerySource('dataset.faketable')) | beam.GroupByKey()
+            beam.io.BigQuerySource(
+                'dataset.faketable',
+                use_dataflow_native_source=True)) | beam.GroupByKey()

Review comment:
       for these two tests in dataflow_runner_test, we do not have equivalents 
for the custom source. This is because these failures do not occur under the 
custom source:
   - Custom source is acceptable in streaming because it becomes an SDF that 
runs fine in streaming
   - Custom source will not error out on type hints with GBK because the type 
hints are not set up to fail for this sort of composite transform. I don't know 
why, but we can file a bug to ensure this is re-enabled.




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