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 5CE2311898 for ; Fri, 5 Sep 2014 23:49:29 +0000 (UTC) Received: (qmail 1495 invoked by uid 500); 5 Sep 2014 23:49:29 -0000 Delivered-To: apmail-hive-dev-archive@hive.apache.org Received: (qmail 1422 invoked by uid 500); 5 Sep 2014 23:49:28 -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 1408 invoked by uid 500); 5 Sep 2014 23:49:28 -0000 Delivered-To: apmail-hadoop-hive-dev@hadoop.apache.org Received: (qmail 1405 invoked by uid 99); 5 Sep 2014 23:49:28 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 05 Sep 2014 23:49:28 +0000 Date: Fri, 5 Sep 2014 23:49:28 +0000 (UTC) From: "Xuefu Zhang (JIRA)" To: hive-dev@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (HIVE-7382) Create a MiniSparkCluster and set up a testing framework [Spark Branch] 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-7382?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated HIVE-7382: ------------------------------ Labels: Spark-M1 (was: ) > Create a MiniSparkCluster and set up a testing framework [Spark Branch] > ----------------------------------------------------------------------- > > Key: HIVE-7382 > URL: https://issues.apache.org/jira/browse/HIVE-7382 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Xuefu Zhang > Assignee: Szehon Ho > Labels: Spark-M1 > > To automatically test Hive functionality over Spark execution engine, we need to create a test framework that can execute Hive queries with Spark as the backend. For that, we should create a MiniSparkCluser for this, similar to other execution engines. > Spark has a way to create a local cluster with a few processes in the local machine, each process is a work node. It's fairly close to a real Spark cluster. Our mini cluster can be based on that. > For more info, please refer to the design doc on wiki. -- This message was sent by Atlassian JIRA (v6.3.4#6332)