[
https://issues.apache.org/jira/browse/HIVE-7384?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14126179#comment-14126179
]
Xuefu Zhang commented on HIVE-7384:
-----------------------------------
For information only, SPARK-2978 got resolved. We should be able to continue
our work on reduce-side join.
> Research into reduce-side join [Spark Branch]
> ---------------------------------------------
>
> Key: HIVE-7384
> URL: https://issues.apache.org/jira/browse/HIVE-7384
> Project: Hive
> Issue Type: Sub-task
> Components: Spark
> Reporter: Xuefu Zhang
> Assignee: Szehon Ho
> Attachments: Hive on Spark Reduce Side Join.docx, sales_items.txt,
> sales_products.txt, sales_stores.txt
>
>
> Hive's join operator is very sophisticated, especially for reduce-side join.
> While we expect that other types of join, such as map-side join and SMB
> map-side join, will work out of the box with our design, there may be some
> complication in reduce-side join, which extensively utilizes key tag and
> shuffle behavior. Our design principle prefers to making Hive implementation
> work out of box also, which might requires new functionality from Spark. The
> tasks is to research into this area, identifying requirements for Spark
> community and the work to be done on Hive to make reduce-side join work.
> A design doc might be needed for this. For more information, please refer to
> the overall design doc on wiki.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
