[jira] [Resolved] (BEAM-4783) Add bundleSize parameter to control splitting of Spark sources (useful for Dynamic Allocation)

["Ismaël Mejía (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-4783?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Ismaël Mejía resolved BEAM-4783.
--------------------------------
    Resolution: Fixed

> Add bundleSize parameter to control splitting of Spark sources (useful for Dynamic Allocation)
> ----------------------------------------------------------------------------------------------
>
>                 Key: BEAM-4783
>                 URL: https://issues.apache.org/jira/browse/BEAM-4783
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-spark
>            Reporter: Kyle Winkelman
>            Assignee: Kyle Winkelman
>            Priority: Major
>             Fix For: 2.8.0
>
>          Time Spent: 4h 40m
>  Remaining Estimate: 0h
>
> When the spark-runner is used along with the configuration spark.dynamicAllocation.enabled=true the SourceRDD does not detect this. It then falls back to the value calculated in this description:
>       // when running on YARN/SparkDeploy it's the result of max(totalCores, 2).
>       // when running on Mesos it's 8.
>       // when running local it's the total number of cores (local = 1, local[N] = N,
>       // local[*] = estimation of the machine's cores).
>       // ** the configuration "spark.default.parallelism" takes precedence over all of the above **
> So in most cases this default is quite small. This is an issue when using a very large input file as it will only get split in half.
> I believe that when Dynamic Allocation is enable the SourceRDD should use the DEFAULT_BUNDLE_SIZE and possibly expose a SparkPipelineOptions that allows you to change this DEFAULT_BUNDLE_SIZE.



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