[jira] [Comment Edited] (SPARK-12524) Group by key in a pairrdd without any shuffle

["Shushant Arora (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-12524?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15071888#comment-15071888 ] 

Shushant Arora edited comment on SPARK-12524 at 12/26/15 2:46 PM:
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my use case is to group values with same keys together. for that I will have to iterate the iterator and group values inmemory for same key.


was (Author: shushantarora):
my use case is to group values with same keys together. for that I will have to iterate the iterator and group values inmemory for same key and .

> Group by key in a pairrdd without any shuffle
> ---------------------------------------------
>
>                 Key: SPARK-12524
>                 URL: https://issues.apache.org/jira/browse/SPARK-12524
>             Project: Spark
>          Issue Type: Improvement
>          Components: Build, Java API
>    Affects Versions: 1.5.2
>            Reporter: Shushant Arora
>   Original Estimate: 504h
>  Remaining Estimate: 504h
>
> In a PairRDD<K,V>. When we are all values of same key are in same partition and want to perform group by key locally and no reduce/aggregation operation afterwords just further tranformation on grouped rdd. There is no facility for that. We have to perform shuffle which is costly.



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