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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2016/10/24 16:44:58 UTC

[jira] [Commented] (SPARK-18078) Add option for customize zipPartition task preferred locations

    [ https://issues.apache.org/jira/browse/SPARK-18078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15602537#comment-15602537 ] 

Apache Spark commented on SPARK-18078:
--------------------------------------

User 'WeichenXu123' has created a pull request for this issue:
https://github.com/apache/spark/pull/15612

> Add option for customize zipPartition task preferred locations
> --------------------------------------------------------------
>
>                 Key: SPARK-18078
>                 URL: https://issues.apache.org/jira/browse/SPARK-18078
>             Project: Spark
>          Issue Type: Improvement
>          Components: Spark Core
>            Reporter: Weichen Xu
>   Original Estimate: 24h
>  Remaining Estimate: 24h
>
> `RDD.zipPartitions` task preferred locations strategy will use the intersection of corresponding zipped partitions locations, if the intersection is null, it use union of these locations.
> but in special case, I want to customize the task preferred locations for better performance. A typical case is in spark-tfocus *LinopMatrixAdjoint* operator: a distributed matrix(DMatrix) multiplying a distributed vector(DVector), it use RDD.zipPartitions (DMatrix and DVector RDD must be partitioned in the same way beforehand).
> https://github.com/WeichenXu123/spark-tfocs/blob/master/src/main/scala/org/apache/spark/mllib/optimization/tfocs/fs/dvector/vector/LinopMatrixAdjoint.scala
> Usually, the `DMatrix` RDD will be much larger than `DVector` RDD, we hope the zipPartition task always locates on `DMatrix` partition's location. it will get better data locality than the default preferred location strategy.
> I think it make sense to add an option for this.
>  



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