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https://issues.apache.org/jira/browse/BEAM-1611?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15901973#comment-15901973
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ASF GitHub Bot commented on BEAM-1611:
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GitHub user kennknowles opened a pull request:
https://github.com/apache/beam/pull/2198
[BEAM-1611] Explicitly GBK before stateful ParDo in Dataflow batch
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---
R: @aaltay
This is a cherry-pick of the principle change from #2147. It requires a
compatible Dataflow worker, which I will add here when ready.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kennknowles/beam batch-state-0.6.0
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/beam/pull/2198.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #2198
----
commit 035b6f6b87c112213d040b7b8cbb08e446c7d7a5
Author: Kenneth Knowles <[email protected]>
Date: 2017-03-02T22:29:56Z
Explicitly GBK before stateful ParDo in Dataflow batch
----
> Stateful ParDo broken in Dataflow batch
> ---------------------------------------
>
> Key: BEAM-1611
> URL: https://issues.apache.org/jira/browse/BEAM-1611
> Project: Beam
> Issue Type: Bug
> Components: runner-dataflow
> Reporter: Kenneth Knowles
> Assignee: Kenneth Knowles
> Priority: Blocker
> Fix For: 0.6.0
>
>
> The needed shuffle is not performed in batch mode. Confirmed that it is
> performed in streaming.
> http://stackoverflow.com/questions/42564604/stateful-pardo-not-working-on-dataflow-runner/42566967#42566967
> Filing here as the quickest fix is to work around with transform overrides in
> Beam, analogous to those in the direct runner.
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