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Posted to issues@beam.apache.org by "ASF GitHub Bot (JIRA)" <ji...@apache.org> on 2019/02/22 20:05:00 UTC
[jira] [Work logged] (BEAM-6735) WriteFiles with runner-determined
sharding is forced to handle spilling
[ https://issues.apache.org/jira/browse/BEAM-6735?focusedWorklogId=202842&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-202842 ]
ASF GitHub Bot logged work on BEAM-6735:
----------------------------------------
Author: ASF GitHub Bot
Created on: 22/Feb/19 20:04
Start Date: 22/Feb/19 20:04
Worklog Time Spent: 10m
Work Description: kyle-winkelman commented on pull request #7929: [BEAM-6735] Add noSpilling option to WriteFiles.
URL: https://github.com/apache/beam/pull/7929
Construct a simplified pipeline in the event that the number of writers isn't prohibitive. User must opt into this by using FileIO, TextIO, or WriteFiles withNoSpilling.
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Issue Time Tracking
-------------------
Worklog Id: (was: 202842)
Time Spent: 10m
Remaining Estimate: 0h
> 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: 10m
> 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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