Return-Path: X-Original-To: apmail-hive-issues-archive@minotaur.apache.org Delivered-To: apmail-hive-issues-archive@minotaur.apache.org Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by minotaur.apache.org (Postfix) with SMTP id 5648A1749D for ; Fri, 29 May 2015 02:29:28 +0000 (UTC) Received: (qmail 68362 invoked by uid 500); 29 May 2015 02:29:28 -0000 Delivered-To: apmail-hive-issues-archive@hive.apache.org Received: (qmail 68340 invoked by uid 500); 29 May 2015 02:29:28 -0000 Mailing-List: contact issues-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 issues@hive.apache.org Received: (qmail 68330 invoked by uid 99); 29 May 2015 02:29:28 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 29 May 2015 02:29:28 +0000 Date: Fri, 29 May 2015 02:29:28 +0000 (UTC) From: "Xuefu Zhang (JIRA)" To: issues@hive.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Updated] (HIVE-7439) Spark job monitoring and error reporting [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-7439?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Xuefu Zhang updated HIVE-7439: ------------------------------ Fix Version/s: (was: spark-branch) 1.1.0 > Spark job monitoring and error reporting [Spark Branch] > ------------------------------------------------------- > > Key: HIVE-7439 > URL: https://issues.apache.org/jira/browse/HIVE-7439 > Project: Hive > Issue Type: Sub-task > Components: Spark > Reporter: Xuefu Zhang > Assignee: Chengxiang Li > Labels: Spark-M3, TODOC-SPARK > Fix For: 1.1.0 > > Attachments: HIVE-7439.1-spark.patch, HIVE-7439.2-spark.patch, HIVE-7439.2-spark.patch, HIVE-7439.3-spark.patch, HIVE-7439.3-spark.patch, hive on spark job status.PNG > > > After Hive submits a job to Spark cluster, we need to report to user the job progress, such as the percentage done, to the user. This is especially important for long running queries. Moreover, if there is an error during job submission or execution, it's also crucial for hive to fetch the error log and/or stacktrace and feedback it to the user. > Please refer design doc on wiki for more information. > CLEAR LIBRARY CACHE -- This message was sent by Atlassian JIRA (v6.3.4#6332)