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https://issues.apache.org/jira/browse/YARN-7913?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16383462#comment-16383462
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Oleksandr Shevchenko edited comment on YARN-7913 at 3/2/18 11:02 AM:
---------------------------------------------------------------------
I faced the same issue. RM failed with NPE during failover if FairScheduler
configurations were changed.
An application was not finished yet, so, application final state = null and
also, the last app attempt doesn't have the final state too.
{{{noformat}}{{}}}
2018-02-28 15:50:51,576 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Recovering app:
application_1517497680557_565955 *with 2 attempts and final state = null*
2018-02-28 15:50:54,761 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
Recovering attempt: appattempt_1517497680557_565955_000001 with *final state:
FAILED*
2018-02-28 15:50:54,766 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
Recovering attempt: appattempt_1517497680557_565955_000002 with *final state:
null*
{{{noformat}}{{}}}
In my case, an *ACL configuration in fair-scheduler.xml was changed* as a
result we no longer have a rights to submit this application.
In FairScheduler#addApplication() we skip it application. We do not add this
application to the scheduler application map and send event APP_REJECTED to go
an application to the state FAILED.
{code:java}
if (!queue.hasAccess(QueueACL.SUBMIT_APPLICATIONS, userUgi)
&& !queue.hasAccess(QueueACL.ADMINISTER_QUEUE, userUgi)) {
String msg = "User " + userUgi.getUserName() +
" cannot submit applications to queue " + queue.getName();
LOG.info(msg);
rmContext.getDispatcher().getEventHandler()
.handle(new RMAppRejectedEvent(applicationId, msg));
return;
}
{code}
Then we try to recovery app attempts. When we try to recovery the last app
attempt we should check the final state of attempt and the final state of the
application (See RMAppAttemptImpl#transition()). As I said before, application
final state = null and also, the last app attempt doesn't have the final state
too. So, we check RM app current state in method "isAppInFinalState".
{code:java}
public static boolean isAppInFinalState(RMApp rmApp) {
RMAppState appState = ((RMAppImpl) rmApp).getRecoveredFinalState();
if (appState == null) {
appState = rmApp.getState();
}
return appState == RMAppState.FAILED || appState == RMAppState.FINISHED
|| appState == RMAppState.KILLED;
}
{code}
For now, the *current state of the application is NEW because the APP_REJECTED
event has not been processed yet* as was described by Gergo Repas. *This lead
to the wrong decision to recover attempt*. We try to get a user of the
application in FairScheduler#addApplicationAttempt and get NPE because the
application nod found in the scheduler.
{code:java}
SchedulerApplication<FSAppAttempt> application =
applications.get(applicationAttemptId.getApplicationId());
String user = application.getUser(); //NPE
{code}
{{{noformat}}{{}}}
java.lang.NullPointerException
at
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.addApplicationAttempt(FairScheduler.java:740)
at
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.handle(FairScheduler.java:1327)
at
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.handle(FairScheduler.java:117)
at
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl$AttemptRecoveredTransition.transition(RMAppAttemptImpl.java:1100)
at
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl$AttemptRecoveredTransition.transition(RMAppAttemptImpl.java:1046)
{{{noformat}}{{}}}
*Ideally, we should process APP_REJECTED event before we try to recovery
attempts.* But for now, I didn't find an easy way to do that.
*As a workaround, we can check whether an application is null.* (See the
attached patch ) If it true then skip this attempt. The same way as in
CapacityScheduler and as was proposed in YARN-2025.
Perhaps, we should open a new ticket for this.
{code:java}
SchedulerApplication<FSAppAttempt> application =
applications.get(applicationAttemptId.getApplicationId());
_if (application == null) {_
_LOG.warn("Application " + applicationAttemptId.getApplicationId() +_
_" cannot be found in scheduler.");_
_return;_
_}_
String user = application.getUser();
{code}
As a result, RM not failed now but we will get InvalidStateTransitonException
because APP_REJECTED event will be processed too late.
{noformat}
2018-02-28 16:00:24,847 ERROR
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Can't handle
this event at current state
org.apache.hadoop.yarn.state.InvalidStateTransitonException: *Invalid event:
APP_REJECTED at ACCEPTED.*
{noformat}
If we also add transition from ACCEPTED state to FAILED to the RMAppImpl
StateMachineFactory
{code:java}
.addTransition(RMAppState.ACCEPTED, RMAppState.FINAL_SAVING,
RMAppEventType.APP_REJECTED,
new FinalSavingTransition(new AppRejectedTransition(),
RMAppState.FAILED))
{code}
the application will be failed correctly but we get the same problem with
attempt:
{{{noformat}}{{}}}
2018-03-01 16:26:23,899 ERROR
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Can't handle
this event at current state
org.apache.hadoop.yarn.state.InvalidStateTransitonException: *Invalid event:
ATTEMPT_FAILED at FAILED*
{{{noformat}}{{}}}
{{Thanks for any comments.}}
was (Author: oshevchenko):
I faced the same issue. RM failed with NPE during failover if FairScheduler
configurations were changed.
An application was not finished yet, so, application final state = null and
also, the last app attempt doesn't have the final state too.
{{{}}{{noformat}}{{}}}
2018-02-28 15:50:51,576 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Recovering app:
application_1517497680557_565955 *with 2 attempts and final state = null*
2018-02-28 15:50:54,761 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
Recovering attempt: appattempt_1517497680557_565955_000001 with *final state:
FAILED*
2018-02-28 15:50:54,766 INFO
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl:
Recovering attempt: appattempt_1517497680557_565955_000002 with *final state:
null*
{{{}}{{noformat}}{{}}}
In my case, an *ACL configuration in fair-scheduler.xml was changed* as a
result we no longer have a rights to submit this application.
In FairScheduler#addApplication() we skip it application. We do not add this
application to the scheduler application map and send event APP_REJECTED to go
an application to the state FAILED.
{{{code}}}
if (!queue.hasAccess(QueueACL.SUBMIT_APPLICATIONS, userUgi)
&& !queue.hasAccess(QueueACL.ADMINISTER_QUEUE, userUgi)) {
String msg = "User " + userUgi.getUserName() +
" cannot submit applications to queue " + queue.getName();
LOG.info(msg);
rmContext.getDispatcher().getEventHandler()
.handle(new RMAppRejectedEvent(applicationId, msg));
return;
}
{{{code}}}
Then we try to recovery app attempts. When we try to recovery the last app
attempt we should check the final state of attempt and the final state of the
application (See RMAppAttemptImpl#transition()). As I said before, application
final state = null and also, the last app attempt doesn't have the final state
too. So, we check RM app current state in method "isAppInFinalState".
{{{code}}}
public static boolean isAppInFinalState(RMApp rmApp) {
RMAppState appState = ((RMAppImpl) rmApp).getRecoveredFinalState();
if (appState == null) {
appState = rmApp.getState();
}
return appState == RMAppState.FAILED || appState == RMAppState.FINISHED
|| appState == RMAppState.KILLED;
}
{{{code}}}
For now, the *current state of the application is NEW because the APP_REJECTED
event has not been processed yet* as was described by Gergo Repas. *This lead
to the wrong decision to recover attempt*. We try to get a user of the
application in FairScheduler#addApplicationAttempt and get NPE because the
application nod found in the scheduler.
{{{code}}}
SchedulerApplication<FSAppAttempt> application =
applications.get(applicationAttemptId.getApplicationId());
String user = application.getUser(); //NPE
{{{code}}}
{{{}}{{noformat}}{{}}}{{}}
java.lang.NullPointerException
at
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.addApplicationAttempt(FairScheduler.java:740)
at
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.handle(FairScheduler.java:1327)
at
org.apache.hadoop.yarn.server.resourcemanager.scheduler.fair.FairScheduler.handle(FairScheduler.java:117)
at
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl$AttemptRecoveredTransition.transition(RMAppAttemptImpl.java:1100)
at
org.apache.hadoop.yarn.server.resourcemanager.rmapp.attempt.RMAppAttemptImpl$AttemptRecoveredTransition.transition(RMAppAttemptImpl.java:1046)
{{{}}{{noformat}}{{}}}
*Ideally, we should process APP_REJECTED event before we try to recovery
attempts.* But for now, I didn't find an easy way to do that.
*As a workaround, we can check whether an application is null.* (See the
attached patch ) If it true then skip this attempt. The same way as in
CapacityScheduler and as was proposed in YARN-2025.
Perhaps, we should open a new ticket for this.
{{{code}}}
SchedulerApplication<FSAppAttempt> application =
applications.get(applicationAttemptId.getApplicationId());
_if (application == null) {_
_LOG.warn("Application " + applicationAttemptId.getApplicationId() +_
_" cannot be found in scheduler.");_
_return;_
_}_
String user = application.getUser();
{{{code}}}
As a result, RM not failed now but we will get InvalidStateTransitonException
because APP_REJECTED event will be processed too late.
{{{noformat}}}
2018-02-28 16:00:24,847 ERROR
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Can't handle
this event at current state
org.apache.hadoop.yarn.state.InvalidStateTransitonException: *Invalid event:
APP_REJECTED at ACCEPTED.*
{{{noformat}}}
If we also add transition from ACCEPTED state to FAILED to the RMAppImpl
StateMachineFactory
{{{code}}}
.addTransition(RMAppState.ACCEPTED, RMAppState.FINAL_SAVING,
RMAppEventType.APP_REJECTED,
new FinalSavingTransition(new AppRejectedTransition(),
RMAppState.FAILED))
{{{code}}}
the application will be failed correctly but we get the same problem with
attempt:
{{{}}{{noformat}}{{}}}
2018-03-01 16:26:23,899 ERROR
org.apache.hadoop.yarn.server.resourcemanager.rmapp.RMAppImpl: Can't handle
this event at current state
org.apache.hadoop.yarn.state.InvalidStateTransitonException: *Invalid event:
ATTEMPT_FAILED at FAILED*
{{{}}{{noformat}}{{}}}
{{Thanks for any comments.}}
> Improve error handling when application recovery fails with exception
> ---------------------------------------------------------------------
>
> Key: YARN-7913
> URL: https://issues.apache.org/jira/browse/YARN-7913
> Project: Hadoop YARN
> Issue Type: Improvement
> Components: resourcemanager
> Affects Versions: 3.0.0
> Reporter: Gergo Repas
> Assignee: Gergo Repas
> Priority: Major
> Attachments: YARN-7913.000.poc.patch
>
>
> There are edge cases when the application recovery fails with an exception.
> Example failure scenario:
> * setup: a queue is a leaf queue in the primary RM's config and the same
> queue is a parent queue in the secondary RM's config.
> * When failover happens with this setup, the recovery will fail for
> applications on this queue, and an APP_REJECTED event will be dispatched to
> the async dispatcher. On the same thread (that handles the recovery), a
> NullPointerException is thrown when the applicationAttempt is tried to be
> recovered
> (https://github.com/apache/hadoop/blob/55066cc53dc22b68f9ca55a0029741d6c846be0a/hadoop-yarn-project/hadoop-yarn/hadoop-yarn-server/hadoop-yarn-server-resourcemanager/src/main/java/org/apache/hadoop/yarn/server/resourcemanager/scheduler/fair/FairScheduler.java#L494).
> I don't see a good way to avoid the NPE in this scenario, because when the
> NPE occurs the APP_REJECTED has not been processed yet, and we don't know
> that the application recovery failed.
> Currently the first exception will abort the recovery, and if there are X
> applications, there will be ~X passive -> active RM transition attempts - the
> passive -> active RM transition will only succeed when the last APP_REJECTED
> event is processed on the async dispatcher thread.
> _The point of this ticket is to improve the error handling and reduce the
> number of passive -> active RM transition attempts (solving the above
> described failure scenario isn't in scope)._
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