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Posted to issues@systemml.apache.org by "Matthias Boehm (JIRA)" <ji...@apache.org> on 2018/03/31 03:26:00 UTC

[jira] [Updated] (SYSTEMML-2218) Avoid unnecessary repartitioning after RDD parallelize

     [ https://issues.apache.org/jira/browse/SYSTEMML-2218?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Matthias Boehm updated SYSTEMML-2218:
-------------------------------------
    Issue Type: Sub-task  (was: Task)
        Parent: SYSTEMML-2219

> Avoid unnecessary repartitioning after RDD parallelize
> ------------------------------------------------------
>
>                 Key: SYSTEMML-2218
>                 URL: https://issues.apache.org/jira/browse/SYSTEMML-2218
>             Project: SystemML
>          Issue Type: Sub-task
>            Reporter: Matthias Boehm
>            Priority: Major
>
> There are cases, where spark mapmm instructions to a repartition of the input RDD in order to ensure output partition sizes <2GB. If the input originates from a RDD parallelize this causes unnecessary shuffle because the parallelize could already bring it into the right number of partitions. 



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