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https://issues.apache.org/jira/browse/BEAM-10703?focusedWorklogId=521394&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-521394
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ASF GitHub Bot logged work on BEAM-10703:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 07/Dec/20 21:34
Start Date: 07/Dec/20 21:34
Worklog Time Spent: 10m
Work Description: chamikaramj commented on a change in pull request
#13405:
URL: https://github.com/apache/beam/pull/13405#discussion_r537848980
##########
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:
Basically, you need to able to configure the Dataflow v1beta3 step
directly from the portable job description (runner API proto) without relying
on the state set in intermediate pipeline object graph.
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Issue Time Tracking
-------------------
Worklog Id: (was: 521394)
Time Spent: 14h 20m (was: 14h 10m)
> 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: 14h 20m
> 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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