Return-Path: X-Original-To: archive-asf-public-internal@cust-asf2.ponee.io Delivered-To: archive-asf-public-internal@cust-asf2.ponee.io Received: from cust-asf.ponee.io (cust-asf.ponee.io [163.172.22.183]) by cust-asf2.ponee.io (Postfix) with ESMTP id 1D2EE200CC4 for ; Thu, 13 Jul 2017 13:20:05 +0200 (CEST) Received: by cust-asf.ponee.io (Postfix) id 1BAF116AD79; Thu, 13 Jul 2017 11:20:05 +0000 (UTC) Delivered-To: archive-asf-public@cust-asf.ponee.io Received: from mail.apache.org (hermes.apache.org [140.211.11.3]) by cust-asf.ponee.io (Postfix) with SMTP id 6A07C16AD72 for ; Thu, 13 Jul 2017 13:20:04 +0200 (CEST) Received: (qmail 60449 invoked by uid 500); 13 Jul 2017 11:20:03 -0000 Mailing-List: contact yarn-issues-help@hadoop.apache.org; run by ezmlm Precedence: bulk List-Help: List-Unsubscribe: List-Post: List-Id: Delivered-To: mailing list yarn-issues@hadoop.apache.org Received: (qmail 60438 invoked by uid 99); 13 Jul 2017 11:20:03 -0000 Received: from pnap-us-west-generic-nat.apache.org (HELO spamd4-us-west.apache.org) (209.188.14.142) by apache.org (qpsmtpd/0.29) with ESMTP; Thu, 13 Jul 2017 11:20:03 +0000 Received: from localhost (localhost [127.0.0.1]) by spamd4-us-west.apache.org (ASF Mail Server at spamd4-us-west.apache.org) with ESMTP id 08225C047C for ; Thu, 13 Jul 2017 11:20:03 +0000 (UTC) X-Virus-Scanned: Debian amavisd-new at spamd4-us-west.apache.org X-Spam-Flag: NO X-Spam-Score: -99.202 X-Spam-Level: X-Spam-Status: No, score=-99.202 tagged_above=-999 required=6.31 tests=[KAM_ASCII_DIVIDERS=0.8, RP_MATCHES_RCVD=-0.001, SPF_PASS=-0.001, USER_IN_WHITELIST=-100] autolearn=disabled Received: from mx1-lw-us.apache.org ([10.40.0.8]) by localhost (spamd4-us-west.apache.org [10.40.0.11]) (amavisd-new, port 10024) with ESMTP id hk6rcr_aGd3c for ; Thu, 13 Jul 2017 11:20:02 +0000 (UTC) Received: from mailrelay1-us-west.apache.org (mailrelay1-us-west.apache.org [209.188.14.139]) by mx1-lw-us.apache.org (ASF Mail Server at mx1-lw-us.apache.org) with ESMTP id 1A7865F6C4 for ; Thu, 13 Jul 2017 11:20:02 +0000 (UTC) Received: from jira-lw-us.apache.org (unknown [207.244.88.139]) by mailrelay1-us-west.apache.org (ASF Mail Server at mailrelay1-us-west.apache.org) with ESMTP id 60F5CE0069 for ; Thu, 13 Jul 2017 11:20:01 +0000 (UTC) Received: from jira-lw-us.apache.org (localhost [127.0.0.1]) by jira-lw-us.apache.org (ASF Mail Server at jira-lw-us.apache.org) with ESMTP id 1B1F72473C for ; Thu, 13 Jul 2017 11:20:00 +0000 (UTC) Date: Thu, 13 Jul 2017 11:20:00 +0000 (UTC) From: "Sunil G (JIRA)" To: yarn-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (YARN-5731) Preemption calculation is not accurate when reserved containers are present in queue. MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Thu, 13 Jul 2017 11:20:05 -0000 [ https://issues.apache.org/jira/browse/YARN-5731?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16085550#comment-16085550 ] Sunil G commented on YARN-5731: ------------------------------- Committed to trunk. Thanks [~leftnoteasy]. I guess we need a new patch for branch-2.8 > Preemption calculation is not accurate when reserved containers are present in queue. > ------------------------------------------------------------------------------------- > > Key: YARN-5731 > URL: https://issues.apache.org/jira/browse/YARN-5731 > Project: Hadoop YARN > Issue Type: Bug > Components: capacity scheduler > Affects Versions: 2.8.0 > Reporter: Sunil G > Assignee: Wangda Tan > Attachments: YARN-5731.001.patch, YARN-5731.002.patch, YARN-5731-branch-2.8.001.patch > > > YARN Capacity Scheduler does not kick Preemption under below scenario. > Two queues A and B each with 50% capacity and 100% maximum capacity and user limit factor 2. Minimum Container size is 1536MB and total cluster resource is 40GB. Now submit the first job which needs 1536MB for AM and 9 task containers each 4.5GB to queue A. Job will get 8 containers total (AM 1536MB + 7 * 4.5GB = 33GB) and the cluster usage is 93.8% and the job has reserved a container of 4.5GB. > Now when next job (1536MB for AM and 9 task containers each 4.5GB) is submitted onto queue B. The job hangs in ACCEPTED state forever and RM scheduler never kicks in Preemption. (RM UI Image 2 attached) > Test Case: > ./spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --queue A --executor-memory 4G --executor-cores 4 --num-executors 9 ../lib/spark-examples*.jar 1000000 > After a minute.. > ./spark-submit --class org.apache.spark.examples.SparkPi --master yarn-client --queue B --executor-memory 4G --executor-cores 4 --num-executors 9 ../lib/spark-examples*.jar 1000000 > Credit to: [~Prabhu Joseph] for bug investigation and troubleshooting. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: yarn-issues-unsubscribe@hadoop.apache.org For additional commands, e-mail: yarn-issues-help@hadoop.apache.org