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https://issues.apache.org/jira/browse/HIVE-8851?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Stamatis Zampetakis updated HIVE-8851:
--------------------------------------

I cleared the fixVersion field since this ticket is still open. Please review 
this ticket and if the fix is already committed to a specific version please 
set the version accordingly and mark the ticket as RESOLVED.

According to the [JIRA 
guidelines|https://cwiki.apache.org/confluence/display/Hive/HowToContribute] 
the fixVersion should be set only when the issue is resolved/closed.

> Broadcast files for small tables via SparkContext.addFile() and 
> SparkFiles.get() [Spark Branch]
> -----------------------------------------------------------------------------------------------
>
>                 Key: HIVE-8851
>                 URL: https://issues.apache.org/jira/browse/HIVE-8851
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Spark
>            Reporter: Xuefu Zhang
>            Assignee: Jimmy Xiang
>            Priority: Major
>             Fix For: spark-branch
>
>         Attachments: HIVE-8851.1-spark.patch, HIVE-8851.2-spark.patch
>
>
> Currently files generated by SparkHashTableSinkOperator for small tables are 
> written directly on HDFS with a high replication factor. When map join 
> happens, map join operator is going to load these files into hash tables. 
> Since on multiple partitions can be process on the same worker node, reading 
> the same set of files multiple times are not ideal. The improvment can be 
> done by calling SparkContext.addFiles() on these files, and use 
> SparkFiles.getFile() to download them to the worker node just once.
> Please note that SparkFiles.getFile() is a static method. Code invoking this 
> method needs to be in a static method. This calling method needs to be 
> synchronized because it may get called in different threads.



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