kamilwu commented on a change in pull request #12435:
URL: https://github.com/apache/beam/pull/12435#discussion_r476485871
##########
File path: sdks/python/apache_beam/testing/load_tests/pardo_test.py
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@@ -125,7 +125,9 @@ def process(self, element, state=state_param):
state.add(1)
yield element
- if self.get_option_or_default('streaming', False):
+ if self.get_option_or_default(
+ 'streaming',
+ False) and self.pipeline.get_option('runner') == "PortableRunner":
Review comment:
Actually, `StatefulLoadGenerator` is no longer required to enable
streaming for Flink (please do note I'm using `Flink` instead of
`PortableRunner`. `PortableRunner` can run pipelines on any engine that
supports portability, Flink included). SyntheticSource executes as SDF
(Splittable DoFn). Since Python SDK supports streaming SDF
(https://issues.apache.org/jira/browse/BEAM-3742), SyntheticSource should work
on Flink.
@mxm We'd love to hear your opinion. Should streaming ParDo tests for Flink
still use `StatefulLoadGenerator`?
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