Return-Path: X-Original-To: apmail-hive-dev-archive@www.apache.org Delivered-To: apmail-hive-dev-archive@www.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 566A810217 for ; Wed, 9 Jul 2014 13:45:12 +0000 (UTC) Received: (qmail 78640 invoked by uid 500); 9 Jul 2014 13:45:11 -0000 Delivered-To: apmail-hive-dev-archive@hive.apache.org Received: (qmail 78574 invoked by uid 500); 9 Jul 2014 13:45:11 -0000 Mailing-List: contact dev-help@hive.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: dev@hive.apache.org Delivered-To: mailing list dev@hive.apache.org Received: (qmail 78560 invoked by uid 500); 9 Jul 2014 13:45:11 -0000 Delivered-To: apmail-hadoop-hive-dev@hadoop.apache.org Received: (qmail 78557 invoked by uid 99); 9 Jul 2014 13:45:11 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Wed, 09 Jul 2014 13:45:11 +0000 Date: Wed, 9 Jul 2014 13:45:11 +0000 (UTC) From: "Xuefu Zhang (JIRA)" To: hive-dev@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (HIVE-7292) Hive on Spark MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 [ https://issues.apache.org/jira/browse/HIVE-7292?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated HIVE-7292: ------------------------------ Component/s: Spark > Hive on Spark > ------------- > > Key: HIVE-7292 > URL: https://issues.apache.org/jira/browse/HIVE-7292 > Project: Hive > Issue Type: Improvement > Components: Spark > 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)