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Posted to issues@spark.apache.org by "Joshua Caplan (JIRA)" <ji...@apache.org> on 2017/01/09 20:24:58 UTC

[jira] [Commented] (SPARK-3877) The exit code of spark-submit is still 0 when an yarn application fails

    [ https://issues.apache.org/jira/browse/SPARK-3877?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15812752#comment-15812752 ] 

Joshua Caplan commented on SPARK-3877:
--------------------------------------

I think you have created a race condition with this fix which I am encountering about 50% of the time, using Spark 1.6.3.  I have configured YARN not to keep *any* recent jobs in memory, as some of my jobs get pretty large.

yarn-site	yarn.resourcemanager.max-completed-applications	0

The once-per-second call to getApplicationReport may thus encounter a RUNNING application followed by a not found application, and report a false negative.

(typical) Executor log:
17/01/09 19:31:23 INFO ApplicationMaster: Final app status: SUCCEEDED, exitCode: 0
17/01/09 19:31:23 INFO SparkContext: Invoking stop() from shutdown hook
17/01/09 19:31:24 INFO SparkUI: Stopped Spark web UI at http://10.0.0.168:37046
17/01/09 19:31:24 INFO YarnClusterSchedulerBackend: Shutting down all executors
17/01/09 19:31:24 INFO YarnClusterSchedulerBackend: Asking each executor to shut down
17/01/09 19:31:24 INFO MapOutputTrackerMasterEndpoint: MapOutputTrackerMasterEndpoint stopped!
17/01/09 19:31:24 INFO MemoryStore: MemoryStore cleared
17/01/09 19:31:24 INFO BlockManager: BlockManager stopped
17/01/09 19:31:24 INFO BlockManagerMaster: BlockManagerMaster stopped
17/01/09 19:31:24 INFO OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: OutputCommitCoordinator stopped!
17/01/09 19:31:24 INFO SparkContext: Successfully stopped SparkContext
17/01/09 19:31:24 INFO ApplicationMaster: Unregistering ApplicationMaster with SUCCEEDED
17/01/09 19:31:24 INFO RemoteActorRefProvider$RemotingTerminator: Shutting down remote daemon.
17/01/09 19:31:24 INFO RemoteActorRefProvider$RemotingTerminator: Remote daemon shut down; proceeding with flushing remote transports.
17/01/09 19:31:24 INFO AMRMClientImpl: Waiting for application to be successfully unregistered.
17/01/09 19:31:24 INFO RemoteActorRefProvider$RemotingTerminator: Remoting shut down.

Client log:
17/01/09 19:31:23 INFO Client: Application report for application_1483983939941_0056 (state: RUNNING)
17/01/09 19:31:24 ERROR Client: Application application_1483983939941_0056 not found.
Exception in thread "main" org.apache.spark.SparkException: Application application_1483983939941_0056 is killed
	at org.apache.spark.deploy.yarn.Client.run(Client.scala:1038)
	at org.apache.spark.deploy.yarn.Client$.main(Client.scala:1081)
	at org.apache.spark.deploy.yarn.Client.main(Client.scala)
	at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
	at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
	at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
	at java.lang.reflect.Method.invoke(Method.java:606)
	at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
	at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
	at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
	at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
	at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)


> The exit code of spark-submit is still 0 when an yarn application fails
> -----------------------------------------------------------------------
>
>                 Key: SPARK-3877
>                 URL: https://issues.apache.org/jira/browse/SPARK-3877
>             Project: Spark
>          Issue Type: Bug
>          Components: YARN
>    Affects Versions: 1.1.0
>            Reporter: Shixiong Zhu
>            Assignee: Shixiong Zhu
>              Labels: yarn
>             Fix For: 1.1.1, 1.2.0
>
>
> When an yarn application fails (yarn-cluster mode), the exit code of spark-submit is still 0. It's hard for people to write some automatic scripts to run spark jobs in yarn because the failure can not be detected in these scripts.



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