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 90B1C11E32 for ; Sun, 27 Jul 2014 20:02:39 +0000 (UTC) Received: (qmail 69122 invoked by uid 500); 27 Jul 2014 20:02:39 -0000 Delivered-To: apmail-hive-dev-archive@hive.apache.org Received: (qmail 69039 invoked by uid 500); 27 Jul 2014 20:02:39 -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 69028 invoked by uid 500); 27 Jul 2014 20:02:39 -0000 Delivered-To: apmail-hadoop-hive-dev@hadoop.apache.org Received: (qmail 69025 invoked by uid 99); 27 Jul 2014 20:02:39 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Sun, 27 Jul 2014 20:02:39 +0000 Date: Sun, 27 Jul 2014 20:02:39 +0000 (UTC) From: "Xuefu Zhang (JIRA)" To: hive-dev@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Created] (HIVE-7525) Research to find out if it's possible to submit Spark jobs concurrently using shared SparkContext MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 Xuefu Zhang created HIVE-7525: --------------------------------- Summary: Research to find out if it's possible to submit Spark jobs concurrently using shared SparkContext Key: HIVE-7525 URL: https://issues.apache.org/jira/browse/HIVE-7525 Project: Hive Issue Type: Task Components: Spark Reporter: Xuefu Zhang Assignee: Chao Refer to HIVE-7503 and SPARK-2688. Find out if it's possible to submit multiple spark jobs concurrently using a shared SparkContext. SparkClient's code can be manipulated for this test. Here is the process: 1. Transform rdd1 to rdd2 using some transformation. 2. call rdd2.cache() to persist it in memory. 3. in two threads, calling accordingly: Thread a. rdd2 -> rdd3; rdd3.foreach() Thread b. rdd2 -> rdd4; rdd4.foreach() It would be nice to find out monitoring and error reporting aspects. -- This message was sent by Atlassian JIRA (v6.2#6252)