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https://issues.apache.org/jira/browse/BEAM-10703?focusedWorklogId=521420&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-521420
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ASF GitHub Bot logged work on BEAM-10703:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 07/Dec/20 22:30
            Start Date: 07/Dec/20 22:30
    Worklog Time Spent: 10m 
      Work Description: nehsyc commented on a change in pull request #13405:
URL: https://github.com/apache/beam/pull/13405#discussion_r537882276



##########
File path: sdks/python/apache_beam/runners/dataflow/dataflow_runner.py
##########
@@ -1112,6 +1128,17 @@ def run_ParDo(self, transform_node, options):
       if is_stateful_dofn:
         step.add_property(PropertyNames.USES_KEYED_STATE, 'true')
 
+        # Also checks whether the step allows shardable keyed states.
+        for pcoll in transform_node.outputs.values():

Review comment:
       Got it. Yes I have a cl pending for adding translation to the service 
which is waiting for this PR :) We are not considering adding this feature 
patch for python runner v1 jobs though; it is disabled for non-unified worker:
   
https://github.com/apache/beam/blob/c1541796435cbd2ee775b6c89ec628f8564a3bcd/sdks/python/apache_beam/runners/dataflow/ptransform_overrides.py#L365
   
   
   




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Issue Time Tracking
-------------------

    Worklog Id:     (was: 521420)
    Time Spent: 14.5h  (was: 14h 20m)

> Add support for auto-sharded GroupIntoBatches in Dataflow runner
> ----------------------------------------------------------------
>
>                 Key: BEAM-10703
>                 URL: https://issues.apache.org/jira/browse/BEAM-10703
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-dataflow
>            Reporter: Siyuan Chen
>            Assignee: Siyuan Chen
>            Priority: P1
>          Time Spent: 14.5h
>  Remaining Estimate: 0h
>
> The proposal of improving GroupIntoBatches transform is in BEAM-10475
> This tracks the support in Cloud Dataflow Runner.



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