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https://issues.apache.org/jira/browse/BEAM-838?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17132131#comment-17132131
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Beam JIRA Bot commented on BEAM-838:
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This issue is P2 but has been unassigned without any comment for 60 days so it
has been labeled "stale-P2". If this issue is still affecting you, we care!
Please comment and remove the label. Otherwise, in 14 days the issue will be
moved to P3.
Please see https://beam.apache.org/contribute/jira-priorities/ for a detailed
explanation of what these priorities mean.
> Support parallelism in Apex runner
> ----------------------------------
>
> Key: BEAM-838
> URL: https://issues.apache.org/jira/browse/BEAM-838
> Project: Beam
> Issue Type: Improvement
> Components: runner-apex
> Reporter: Thomas Weise
> Priority: P2
> Labels: stale-P2
>
> The Apex runner should leverage the partitioning features of Apex for Beam
> pipeline translation (parallel partitions, dynamic partitioning and cascading
> unifiers etc.). Specifically for ParDo and GroupByKey (GBK partitioning will
> also need the appropriate stream codec that will partition the stream based
> on the encoded key). Enabling the partitioning will also require watermarks
> to be broadcasted on a separate Apex operator port.
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