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https://issues.apache.org/jira/browse/MAPREDUCE-7403?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Steve Loughran resolved MAPREDUCE-7403.
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Fix Version/s: 3.4.0
3.3.9
Resolution: Fixed
hadoop side is in; needs spark to match
> Support spark dynamic partitioning in the Manifest Committer
> ------------------------------------------------------------
>
> Key: MAPREDUCE-7403
> URL: https://issues.apache.org/jira/browse/MAPREDUCE-7403
> Project: Hadoop Map/Reduce
> Issue Type: Bug
> Components: mrv2
> Affects Versions: 3.3.9
> Reporter: Steve Loughran
> Assignee: Steve Loughran
> Priority: Major
> Labels: pull-request-available
> Fix For: 3.4.0, 3.3.9
>
>
> Currently the spark integration with PathOutputCommitters rejects attempt to
> instantiate them if dynamic partitioning is enabled. That is because the
> spark partitioning code assumes that
> # file rename works as a fast and safe commit algorithm
> # the working directory is in the same FS as the final directory
> Assumption 1 doesn't hold on s3a, and #2 isn't true for the staging
> committers.
> The new abfs/gcs manifest committer and the target stores do meet both
> requirements. So we no longer need to reject the operation, provided the
> spark side binding-code can can identify when all is good.
> Proposed: add a new hasCapability() probe which, if, a committer implements
> StreamCapabilities can be used to see if the committer will work.
> ManifestCommitter will declare that it holds. As the API has existed since
> 2.10, it will be immediately available.
> spark's PathOutputCommitProtocol to query the committer in setupCommitter,
> and fail if dynamicPartitionOverwrite is requested but not available.
> BindingParquetOutputCommitter to implement and forward
> StreamCapabilities.hasCapability.
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