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https://issues.apache.org/jira/browse/BEAM-9122?focusedWorklogId=372611&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-372611
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ASF GitHub Bot logged work on BEAM-9122:
----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jan/20 22:49
Start Date: 15/Jan/20 22:49
Worklog Time Spent: 10m
Work Description: y1chi commented on pull request #10596: [BEAM-9122] Add
uses_keyed_state step property in python dataflow run…
URL: https://github.com/apache/beam/pull/10596#discussion_r367148827
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File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner.py
##########
@@ -950,6 +950,10 @@ def run_ParDo(self, transform_node, options):
step.add_property(PropertyNames.RESTRICTION_ENCODING,
self._get_cloud_encoding(restriction_coder))
+ from apache_beam.runners.common import DoFnSignature
+ if DoFnSignature(transform.dofn).is_stateful_dofn():
Review comment:
should we distinguish streaming pipelines from batch here?
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Issue Time Tracking
-------------------
Worklog Id: (was: 372611)
Time Spent: 1h (was: 50m)
> Add uses_keyed_state step property to python dataflow runner
> ------------------------------------------------------------
>
> Key: BEAM-9122
> URL: https://issues.apache.org/jira/browse/BEAM-9122
> Project: Beam
> Issue Type: Improvement
> Components: sdk-py-core
> Reporter: Yichi Zhang
> Assignee: Yichi Zhang
> Priority: Major
> Time Spent: 1h
> Remaining Estimate: 0h
>
> Add additional step property to dataflow job property when a DoFn is stateful
> in python sdk. So that the backend runner can recognize stateful steps.
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