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https://issues.apache.org/jira/browse/BEAM-10616?focusedWorklogId=474343&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-474343
]
ASF GitHub Bot logged work on BEAM-10616:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 25/Aug/20 14:19
Start Date: 25/Aug/20 14:19
Worklog Time Spent: 10m
Work Description: 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
##########
@@ -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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Issue Time Tracking
-------------------
Worklog Id: (was: 474343)
Time Spent: 5h 40m (was: 5.5h)
> Create Streaming ParDo Python Load Test Jenkins Job
> ---------------------------------------------------
>
> Key: BEAM-10616
> URL: https://issues.apache.org/jira/browse/BEAM-10616
> Project: Beam
> Issue Type: Sub-task
> Components: testing
> Reporter: Kasia Kucharczyk
> Assignee: Kasia Kucharczyk
> Priority: P2
> Time Spent: 5h 40m
> Remaining Estimate: 0h
>
> ParDo core operation load tests for streaming with 4 tests cases that loads
> data from SyntheticSources and runs on Dataflow.
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