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Mon, 28 Aug 2017 22:35:04 +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 C3F6423F36 for ; Mon, 28 Aug 2017 22:35:01 +0000 (UTC) Date: Mon, 28 Aug 2017 22:35:01 +0000 (UTC) From: "ASF GitHub Bot (JIRA)" To: yarn-issues@hadoop.apache.org Message-ID: In-Reply-To: References: Subject: [jira] [Commented] (YARN-2162) add ability in Fair Scheduler to optionally configure maxResources in terms of percentage MIME-Version: 1.0 Content-Type: text/plain; charset=utf-8 Content-Transfer-Encoding: 7bit X-JIRA-FingerPrint: 30527f35849b9dde25b450d4833f0394 archived-at: Mon, 28 Aug 2017 22:35:09 -0000 [ https://issues.apache.org/jira/browse/YARN-2162?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16144472#comment-16144472 ] ASF GitHub Bot commented on YARN-2162: -------------------------------------- Github user kambatla commented on a diff in the pull request: https://github.com/apache/hadoop/pull/261#discussion_r135650575 --- Diff: hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairSchedulerConfiguration.java --- @@ -287,27 +289,69 @@ public float getReservableNodes() { * * @throws AllocationConfigurationException */ - public static Resource parseResourceConfigValue(String val) + public static ConfigurableResource parseResourceConfigValue(String val) throws AllocationConfigurationException { + ConfigurableResource configurableResource; try { val = StringUtils.toLowerCase(val); - int memory = findResource(val, "mb"); - int vcores = findResource(val, "vcores"); - return BuilderUtils.newResource(memory, vcores); + if (val.contains("%")) { + configurableResource = new ConfigurableResource( + getResourcePercentage(val)); + } else { + int memory = findResource(val, "mb"); + int vcores = findResource(val, "vcores"); + configurableResource = new ConfigurableResource( + BuilderUtils.newResource(memory, vcores)); + } } catch (AllocationConfigurationException ex) { throw ex; } catch (Exception ex) { throw new AllocationConfigurationException( "Error reading resource config", ex); } + return configurableResource; + } + + private static double[] getResourcePercentage( + String val) throws AllocationConfigurationException { + double[] resourcePercentage = new double[ResourceType.values().length]; + String[] strings = val.split(","); + if (strings.length == 1) { + double percentage = findPercentage(strings[0], ""); + for (int i = 0 ; i < ResourceType.values().length ; i++) { + resourcePercentage[i] = percentage/100; + } + } else { + double memPercentage = findPercentage(val, "memory"); + double vcorePercentage = findPercentage(val, "cpu"); + resourcePercentage[0] = memPercentage/100; --- End diff -- With ResourceTypes coming in, I feel this has to be handled better. Loop over and use that index instead? > add ability in Fair Scheduler to optionally configure maxResources in terms of percentage > ----------------------------------------------------------------------------------------- > > Key: YARN-2162 > URL: https://issues.apache.org/jira/browse/YARN-2162 > Project: Hadoop YARN > Issue Type: Improvement > Components: fairscheduler, scheduler > Reporter: Ashwin Shankar > Assignee: Yufei Gu > Labels: scheduler > Attachments: YARN-2162.001.patch, YARN-2162.002.patch, YARN-2162.003.patch > > > minResources and maxResources in fair scheduler configs are expressed in terms of absolute numbers X mb, Y vcores. > As a result, when we expand or shrink our hadoop cluster, we need to recalculate and change minResources/maxResources accordingly, which is pretty inconvenient. > We can circumvent this problem if we can optionally configure these properties in terms of percentage of cluster capacity. -- 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