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https://issues.apache.org/jira/browse/YARN-2637?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14265625#comment-14265625
]
Hadoop QA commented on YARN-2637:
---------------------------------
{color:red}-1 overall{color}. Here are the results of testing the latest
attachment
http://issues.apache.org/jira/secure/attachment/12690221/YARN-2637.26.patch
against trunk revision 0c4b112.
{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:red}-1 findbugs{color}. The patch appears to introduce 1 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: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.reservation.TestCapacitySchedulerPlanFollower
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.TestApplicationLimits
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.TestLeafQueue
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fifo.TestFifoScheduler
org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.TestReservations
Test results:
https://builds.apache.org/job/PreCommit-YARN-Build/6248//testReport/
Findbugs warnings:
https://builds.apache.org/job/PreCommit-YARN-Build/6248//artifact/patchprocess/newPatchFindbugsWarningshadoop-yarn-server-resourcemanager.html
Console output: https://builds.apache.org/job/PreCommit-YARN-Build/6248//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-2637.17.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-2637.6.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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