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https://issues.apache.org/jira/browse/BEAM-10703?focusedWorklogId=481174&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-481174
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ASF GitHub Bot logged work on BEAM-10703:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Sep/20 00:23
Start Date: 10/Sep/20 00:23
Worklog Time Spent: 10m
Work Description: nehsyc commented on a change in pull request #12678:
URL: https://github.com/apache/beam/pull/12678#discussion_r485991869
##########
File path:
runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/DataflowPipelineTranslator.java
##########
@@ -1264,6 +1268,10 @@ private static void translateFn(
// in streaming but does not work in batch
if (context.getPipelineOptions().isStreaming() && isStateful) {
stepContext.addInput(PropertyNames.USES_KEYED_STATE, "true");
Review comment:
Update on this:
I added an experiment to gate the auto-sharding so this can be merged
without waiting for the backend. It will also make the testing easier.
I also added a check for the experiment, "beam_fn_api". My intention was to
disable the feature for unified worker but I guess this way we would disable
auto-sharding for both unified worker and java worker using fn api - I remember
that we are not going to support the latter so it seems fine to me. But let me
know if my understanding is incorrect.
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Issue Time Tracking
-------------------
Worklog Id: (was: 481174)
Time Spent: 6h (was: 5h 50m)
> 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: P2
> Time Spent: 6h
> 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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