[jira] [Updated] (PIG-5024) add a physical operator to broadcast small RDDs

["Xianda Ke (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/PIG-5024?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xianda Ke updated PIG-5024:
---------------------------
    Description: 
Currently, when optimize some kinds of JOIN, the indexed or sampling files are saved into HDFS. By setting the replication to a larger number, it serves as distributed cache.

Spark's broadcast mechanism is suitable for this. It seems that we can add a physical operator to broadcast small RDDs.
This will benefit the optimization of some specialized Joins, such as Skewed Join, Replicated Join and so on. 



  was:
Currently, when optimize some kinds of JOIN, the indexed or sampling files are saved into HDFS. By setting the replication to a larger number, it serves as cache.

It seems that we can add a physical operator to broadcast small RDDs.
This will benefit some specialized Joins, such as Skewed Join, Replicated Join and so on. 




> add a physical operator to broadcast small RDDs
> -----------------------------------------------
>
>                 Key: PIG-5024
>                 URL: https://issues.apache.org/jira/browse/PIG-5024
>             Project: Pig
>          Issue Type: Sub-task
>          Components: spark
>            Reporter: Xianda Ke
>            Assignee: Xianda Ke
>             Fix For: spark-branch
>
>
> Currently, when optimize some kinds of JOIN, the indexed or sampling files are saved into HDFS. By setting the replication to a larger number, it serves as distributed cache.
> Spark's broadcast mechanism is suitable for this. It seems that we can add a physical operator to broadcast small RDDs.
> This will benefit the optimization of some specialized Joins, such as Skewed Join, Replicated Join and so on. 



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