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Posted to yarn-issues@hadoop.apache.org by "Vinod Kumar Vavilapalli (JIRA)" <ji...@apache.org> on 2015/09/04 04:46:46 UTC
[jira] [Updated] (YARN-2637) maximum-am-resource-percent could be
respected for both LeafQueue/User when trying to activate applications.
[ https://issues.apache.org/jira/browse/YARN-2637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Vinod Kumar Vavilapalli updated YARN-2637:
------------------------------------------
Labels: 2.6.1-candidate (was: )
Fix Version/s: 2.6.1
Pulled this into 2.6.1 as it is both an important fix and also to help backport other patches like YARN-3733.
The patch applied cleanly for the most part except for a conflict in LeafQueue.java. Ran compilation and the tests TestAMRMRPCNodeUpdates, TestCapacitySchedulerPlanFollower, TestApplicationLimits,TestLeafQueue, TestReservations, TestFifoScheduler, TestRMWebServicesCapacitySched before the push.
> maximum-am-resource-percent could be respected for both LeafQueue/User when trying to activate applications.
> ------------------------------------------------------------------------------------------------------------
>
> 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
> Labels: 2.6.1-candidate
> Fix For: 2.7.0, 2.6.1
>
> 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-2637.17.patch, YARN-2637.18.patch, YARN-2637.19.patch, YARN-2637.2.patch, YARN-2637.20.patch, YARN-2637.21.patch, YARN-2637.22.patch, YARN-2637.23.patch, YARN-2637.25.patch, YARN-2637.26.patch, YARN-2637.27.patch, YARN-2637.28.patch, YARN-2637.29.patch, YARN-2637.30.patch, YARN-2637.31.patch, YARN-2637.32.patch, YARN-2637.36.patch, YARN-2637.38.patch, YARN-2637.39.patch, YARN-2637.40.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.
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