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niraj rai commented on HIVE-7292: --------------------------------- I am in OOO, so, the replying to the email might get delayed. > Hive on Spark > ------------- > > Key: HIVE-7292 > URL: https://issues.apache.org/jira/browse/HIVE-7292 > Project: Hive > Issue Type: Improvement > Reporter: Xuefu Zhang > Assignee: Xuefu Zhang > Attachments: Hive-on-Spark.pdf > > > Spark as an open-source data analytics cluster computing framework has gained > significant momentum recently. Many Hive users already have Spark installed > as their computing backbone. To take advantages of Hive, they still need to > have either MapReduce or Tez on their cluster. This initiative will provide > user a new alternative so that those user can consolidate their backend. > Secondly, providing such an alternative further increases Hive's adoption as > it exposes Spark users to a viable, feature-rich de facto standard SQL tools > on Hadoop. > Finally, allowing Hive to run on Spark also has performance benefits. Hive > queries, especially those involving multiple reducer stages, will run faster, > thus improving user experience as Tez does. > This is an umbrella JIRA which will cover many coming subtask. Design doc > will be attached here shortly, and will be on the wiki as well. Feedback from > the community is greatly appreciated! -- This message was sent by Atlassian JIRA (v6.2#6252)