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Hadoop QA commented on YARN-2637: --------------------------------- {color:green}+1 overall{color}. Here are the results of testing the latest attachment http://issues.apache.org/jira/secure/attachment/12685475/YARN-2637.16.patch against trunk revision 475c6b4. {color:green}+1 @author{color}. The patch does not contain any @author tags. {color:green}+1 tests included{color}. The patch appears to include 8 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 2.0.3) warnings. {color:green}+1 release audit{color}. The applied patch does not increase the total number of release audit warnings. {color:green}+1 core tests{color}. The patch passed unit tests in hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager. {color:green}+1 contrib tests{color}. The patch passed contrib unit tests. Test results: https://builds.apache.org/job/PreCommit-YARN-Build/6019//testReport/ Console output: https://builds.apache.org/job/PreCommit-YARN-Build/6019//console This message is automatically generated. > maximum-am-resource-percent could be violated when resource of AM is > > minimumAllocation > ---------------------------------------------------------------------------------------- > > Key: YARN-2637 > URL: https://issues.apache.org/jira/browse/YARN-2637 > Project: Hadoop YARN > Issue Type: Bug > Components: resourcemanager > Affects Versions: 2.6.0 > Reporter: Wangda Tan > Assignee: Craig Welch > Priority: Critical > Attachments: YARN-2637.0.patch, YARN-2637.1.patch, > YARN-2637.12.patch, YARN-2637.13.patch, YARN-2637.15.patch, > YARN-2637.16.patch, YARN-2637.2.patch, YARN-2637.6.patch, YARN-2637.7.patch, > YARN-2637.9.patch > > > Currently, number of AM in leaf queue will be calculated in following way: > {code} > max_am_resource = queue_max_capacity * maximum_am_resource_percent > #max_am_number = max_am_resource / minimum_allocation > #max_am_number_for_each_user = #max_am_number * userlimit * userlimit_factor > {code} > And when submit new application to RM, it will check if an app can be > activated in following way: > {code} > for (Iterator<FiCaSchedulerApp> i=pendingApplications.iterator(); > i.hasNext(); ) { > FiCaSchedulerApp application = i.next(); > > // Check queue limit > if (getNumActiveApplications() >= getMaximumActiveApplications()) { > break; > } > > // Check user limit > User user = getUser(application.getUser()); > if (user.getActiveApplications() < > getMaximumActiveApplicationsPerUser()) { > user.activateApplication(); > activeApplications.add(application); > i.remove(); > LOG.info("Application " + application.getApplicationId() + > " from user: " + application.getUser() + > " activated in queue: " + getQueueName()); > } > } > {code} > An example is, > If a queue has capacity = 1G, max_am_resource_percent = 0.2, the maximum > resource that AM can use is 200M, assuming minimum_allocation=1M, #am can be > launched is 200, and if user uses 5M for each AM (> minimum_allocation). All > apps can still be activated, and it will occupy all resource of a queue > instead of only a max_am_resource_percent of a queue. -- This message was sent by Atlassian JIRA (v6.3.4#6332)