[
https://issues.apache.org/jira/browse/YARN-5545?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15430559#comment-15430559
]
Naganarasimha G R commented on YARN-5545:
-----------------------------------------
Thanks for your feeback [~sunilg], Idea of considering overall resource is we
do not want to limit number of applications based on partition as AM can be
submitted in a partition with higher resource and request for partions
resources which are still limited, so we thought limiting overall number of
apps per leaf queue is better.
bq. I think, with above table, if we have max_apps_labelX=100, and similarly,
will it make it simple? But i agree that we need to consider user level
calculations also under label if we do this.
Yes it makes it simple but IMO doesnt solve anything as explained earlier.
bq. still more apps can run in queueA. So if we directly go with clusterwise
apps and share it with per label, could it affect some queue's which has more
apps to run.
Anyway max number of apps per queue can also be defined
{{yarn.scheduler.capacity.<queue-path>.maximum-applications}} which can still
behave in the same way i.e. max number of apps per queue = max number of apps
per queue across any partition.
> App submit failure on queue with label when default queue partition capacity
> is zero
> ------------------------------------------------------------------------------------
>
> Key: YARN-5545
> URL: https://issues.apache.org/jira/browse/YARN-5545
> Project: Hadoop YARN
> Issue Type: Bug
> Reporter: Bibin A Chundatt
> Assignee: Bibin A Chundatt
> Attachments: capacity-scheduler.xml
>
>
> Configure capacity scheduler
> yarn.scheduler.capacity.root.default.capacity=0
> yarn.scheduler.capacity.root.queue1.accessible-node-labels.labelx.capacity=50
> yarn.scheduler.capacity.root.default.accessible-node-labels.labelx.capacity=50
> Submit application as below
> ./yarn jar
> ../share/hadoop/mapreduce/hadoop-mapreduce-client-jobclient-3.0.0-alpha2-SNAPSHOT-tests.jar
> sleep -Dmapreduce.job.node-label-expression=labelx
> -Dmapreduce.job.queuename=default -m 1 -r 1 -mt 10000000 -rt 1
> {noformat}
> 2016-08-21 18:21:31,375 INFO mapreduce.JobSubmitter: Cleaning up the staging
> area /tmp/hadoop-yarn/staging/root/.staging/job_1471670113386_0001
> java.io.IOException: org.apache.hadoop.yarn.exceptions.YarnException: Failed
> to submit application_1471670113386_0001 to YARN :
> org.apache.hadoop.security.AccessControlException: Queue root.default already
> has 0 applications, cannot accept submission of application:
> application_1471670113386_0001
> at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:316)
> at
> org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:255)
> at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1344)
> at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1341)
> at java.security.AccessController.doPrivileged(Native Method)
> at javax.security.auth.Subject.doAs(Subject.java:422)
> at
> org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1790)
> at org.apache.hadoop.mapreduce.Job.submit(Job.java:1341)
> at org.apache.hadoop.mapreduce.Job.waitForCompletion(Job.java:1362)
> at org.apache.hadoop.mapreduce.SleepJob.run(SleepJob.java:273)
> at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:76)
> at org.apache.hadoop.mapreduce.SleepJob.main(SleepJob.java:194)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at
> org.apache.hadoop.util.ProgramDriver$ProgramDescription.invoke(ProgramDriver.java:71)
> at org.apache.hadoop.util.ProgramDriver.run(ProgramDriver.java:144)
> at
> org.apache.hadoop.test.MapredTestDriver.run(MapredTestDriver.java:136)
> at
> org.apache.hadoop.test.MapredTestDriver.main(MapredTestDriver.java:144)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at
> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at
> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:497)
> at org.apache.hadoop.util.RunJar.run(RunJar.java:239)
> at org.apache.hadoop.util.RunJar.main(RunJar.java:153)
> Caused by: org.apache.hadoop.yarn.exceptions.YarnException: Failed to submit
> application_1471670113386_0001 to YARN :
> org.apache.hadoop.security.AccessControlException: Queue root.default already
> has 0 applications, cannot accept submission of application:
> application_1471670113386_0001
> at
> org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.submitApplication(YarnClientImpl.java:286)
> at
> org.apache.hadoop.mapred.ResourceMgrDelegate.submitApplication(ResourceMgrDelegate.java:296)
> at org.apache.hadoop.mapred.YARNRunner.submitJob(YARNRunner.java:301)
> ... 25 more
> {noformat}
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: yarn-issues-unsubscr...@hadoop.apache.org
For additional commands, e-mail: yarn-issues-h...@hadoop.apache.org
