Return-Path: X-Original-To: apmail-hadoop-yarn-issues-archive@minotaur.apache.org Delivered-To: apmail-hadoop-yarn-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 AD19610BA6 for ; Tue, 27 May 2014 21:40:03 +0000 (UTC) Received: (qmail 94579 invoked by uid 500); 27 May 2014 21:40:03 -0000 Delivered-To: apmail-hadoop-yarn-issues-archive@hadoop.apache.org Received: (qmail 94539 invoked by uid 500); 27 May 2014 21:40:03 -0000 Mailing-List: contact yarn-issues-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Reply-To: yarn-issues@hadoop.apache.org Delivered-To: mailing list yarn-issues@hadoop.apache.org Received: (qmail 94530 invoked by uid 99); 27 May 2014 21:40:03 -0000 Received: from arcas.apache.org (HELO arcas.apache.org) (140.211.11.28) by apache.org (qpsmtpd/0.29) with ESMTP; Tue, 27 May 2014 21:40:03 +0000 Date: Tue, 27 May 2014 21:40:03 +0000 (UTC) From: "Hadoop QA (JIRA)" To: yarn-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (YARN-1769) CapacityScheduler: Improve reservations 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/YARN-1769?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14010319#comment-14010319 ] Hadoop QA commented on YARN-1769: --------------------------------- {color:red}-1 overall{color}. Here are the results of testing the latest attachment http://issues.apache.org/jira/secure/attachment/12646981/YARN-1769.patch against trunk revision . {color:green}+1 @author{color}. The patch does not contain any @author tags. {color:green}+1 tests included{color}. The patch appears to include 5 new or modified test files. {color:green}+1 javac{color}. The applied patch does not increase the total number of javac compiler warnings. {color:green}+1 javadoc{color}. There were no new javadoc warning messages. {color:green}+1 eclipse:eclipse{color}. The patch built with eclipse:eclipse. {color:green}+1 findbugs{color}. The patch does not introduce any new Findbugs (version 1.3.9) warnings. {color:green}+1 release audit{color}. The applied patch does not increase the total number of release audit warnings. {color:red}-1 core tests{color}. The patch failed these unit tests in hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager: org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.TestFairScheduler {color:green}+1 contrib tests{color}. The patch passed contrib unit tests. Test results: https://builds.apache.org/job/PreCommit-YARN-Build/3836//testReport/ Console output: https://builds.apache.org/job/PreCommit-YARN-Build/3836//console This message is automatically generated. > CapacityScheduler: Improve reservations > ---------------------------------------- > > Key: YARN-1769 > URL: https://issues.apache.org/jira/browse/YARN-1769 > Project: Hadoop YARN > Issue Type: Improvement > Components: capacityscheduler > Affects Versions: 2.3.0 > Reporter: Thomas Graves > Assignee: Thomas Graves > Attachments: YARN-1769.patch, YARN-1769.patch, YARN-1769.patch, YARN-1769.patch, YARN-1769.patch, YARN-1769.patch, YARN-1769.patch, YARN-1769.patch, YARN-1769.patch > > > Currently the CapacityScheduler uses reservations in order to handle requests for large containers and the fact there might not currently be enough space available on a single host. > The current algorithm for reservations is to reserve as many containers as currently required and then it will start to reserve more above that after a certain number of re-reservations (currently biased against larger containers). Anytime it hits the limit of number reserved it stops looking at any other nodes. This results in potentially missing nodes that have enough space to fullfill the request. > The other place for improvement is currently reservations count against your queue capacity. If you have reservations you could hit the various limits which would then stop you from looking further at that node. > The above 2 cases can cause an application requesting a larger container to take a long time to gets it resources. > We could improve upon both of those by simply continuing to look at incoming nodes to see if we could potentially swap out a reservation for an actual allocation. -- This message was sent by Atlassian JIRA (v6.2#6252)