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Posted to issues@tez.apache.org by "Rohini Palaniswamy (JIRA)" <ji...@apache.org> on 2014/07/25 19:31:41 UTC

[jira] [Commented] (TEZ-1107) Support increase of parallelism of vertex in case of custom partitioner

    [ https://issues.apache.org/jira/browse/TEZ-1107?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14074630#comment-14074630 ] 

Rohini Palaniswamy commented on TEZ-1107:
-----------------------------------------

@daijy,
    I suppose this does not require any API changes.

> Support increase of parallelism of vertex in case of custom partitioner
> -----------------------------------------------------------------------
>
>                 Key: TEZ-1107
>                 URL: https://issues.apache.org/jira/browse/TEZ-1107
>             Project: Apache Tez
>          Issue Type: Bug
>            Reporter: Daniel Dai
>            Assignee: Bikas Saha
>
> Current VertexManagerPlugin/EdgeManager mechanism support decrease of parallelism of a vertex, but increase parallelism is not supported. In general, we need to do repartition to increase the parallelism. However, in my simplified case, the proceeding vertex is using a custom partitioner which is able to partition to the final parallelism, repartitioning is not needed. However, I hit an exception from sorter:
>                     : Caused by: java.io.IOException: Illegal partition for Null: false index: 0 53.8 (2), TotalPartitions: 2
>                     : at org.apache.tez.runtime.library.common.sort.impl.dflt.DefaultSorter.collect(DefaultSorter.java:208)
>                     : at org.apache.tez.runtime.library.common.sort.impl.dflt.DefaultSorter.write(DefaultSorter.java:185) 
>                     : at org.apache.tez.runtime.library.output.OnFileSortedOutput$1.write(OnFileSortedOutput.java:111)    
>                     : at org.apache.pig.backend.hadoop.executionengine.tez.POIdentityInOutTez.getNextTuple(POIdentityInOutTez.java:148)
>                     : ... 8 more   
> While increase parallelism in general is harder, increase parallelism with a custom partitioner might be easier to fix. 



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