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https://issues.apache.org/jira/browse/BEAM-6735?focusedWorklogId=214133&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-214133
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ASF GitHub Bot logged work on BEAM-6735:
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Author: ASF GitHub Bot
Created on: 16/Mar/19 01:07
Start Date: 16/Mar/19 01:07
Worklog Time Spent: 10m
Work Description: pabloem commented on issue #7929: [BEAM-6735] Add
noSpilling option to WriteFiles.
URL: https://github.com/apache/beam/pull/7929#issuecomment-473484516
And yes, could you squash the changes?
Thanks
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Issue Time Tracking
-------------------
Worklog Id: (was: 214133)
Time Spent: 2h 50m (was: 2h 40m)
> WriteFiles with runner-determined sharding is forced to handle spilling
> -----------------------------------------------------------------------
>
> Key: BEAM-6735
> URL: https://issues.apache.org/jira/browse/BEAM-6735
> Project: Beam
> Issue Type: Improvement
> Components: sdk-java-core
> Reporter: Kyle Winkelman
> Priority: Major
> Time Spent: 2h 50m
> Remaining Estimate: 0h
>
> As a result of BEAM-2302, files in excess of WriteFiles
> maxNumWritersPerBundle are shuffled to be written later. The downside to this
> is that even if you can guarantee that maxNumWritersPerBundle is high enough
> to handle all writes you still have to pay the overhead of this write now
> being a MultiOutput ParDo.
> e.g. In the Spark Runner when a ParDo has multiple outputs the returned data
> is cached and if using the disableCache pipeline option it would cause
> recalculation and all the temp files would be written again.
> I'm sure that the Spark Runner is not the only runner that would benefit from
> an optional setting for WriteFiles that would skip this spilling and simplify
> the pipeline.
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