[jira] [Work logged] (BEAM-4783) Spark SourceRDD Not Designed With Dynamic Allocation In Mind

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-4783?focusedWorklogId=150051&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-150051 ]

ASF GitHub Bot logged work on BEAM-4783:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 01/Oct/18 14:36
            Start Date: 01/Oct/18 14:36
    Worklog Time Spent: 10m 
      Work Description: iemejia commented on issue #6181: [BEAM-4783] Add bundleSize for splitting BoundedSources.
URL: https://github.com/apache/beam/pull/6181#issuecomment-425931207
 
 
   Run Spark ValidatesRunner

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Issue Time Tracking
-------------------

    Worklog Id:     (was: 150051)
    Time Spent: 3h 40m  (was: 3.5h)

> Spark SourceRDD Not Designed With Dynamic Allocation In Mind
> ------------------------------------------------------------
>
>                 Key: BEAM-4783
>                 URL: https://issues.apache.org/jira/browse/BEAM-4783
>             Project: Beam
>          Issue Type: Improvement
>          Components: runner-spark
>    Affects Versions: 2.5.0
>            Reporter: Kyle Winkelman
>            Assignee: Jean-Baptiste Onofré
>            Priority: Major
>              Labels: newbie
>          Time Spent: 3h 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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