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Posted to issues@systemml.apache.org by "Matthias Boehm (JIRA)" <ji...@apache.org> on 2018/03/31 01:42:00 UTC

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

Matthias Boehm created SYSTEMML-2218:
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             Summary: Avoid unnecessary repartitioning after RDD parallelize
                 Key: SYSTEMML-2218
                 URL: https://issues.apache.org/jira/browse/SYSTEMML-2218
             Project: SystemML
          Issue Type: Task
            Reporter: Matthias Boehm


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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