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From "Lianhui Wang (JIRA)" <j...@apache.org>
Subject [jira] [Comment Edited] (SPARK-5721) Propagate missing external shuffle service errors to client
Date Thu, 12 Feb 2015 09:39:14 GMT

    [ https://issues.apache.org/jira/browse/SPARK-5721?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14317895#comment-14317895
] 

Lianhui Wang edited comment on SPARK-5721 at 2/12/15 9:39 AM:
--------------------------------------------------------------

yes, i think it is same as SPARK-5759. now in https://github.com/apache/spark/pull/4554 i
log the container ID and host name for exception.


was (Author: lianhuiwang):
yes, i think it is same as SPARK-5759. now in https://github.com/apache/spark/pull/4554 i
report the container ID and host name for exception.

> Propagate missing external shuffle service errors to client
> -----------------------------------------------------------
>
>                 Key: SPARK-5721
>                 URL: https://issues.apache.org/jira/browse/SPARK-5721
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core, YARN
>            Reporter: Kostas Sakellis
>
> When spark.shuffle.service.enabled=true, the yarn AM expects to find an aux service running
in the namenode. If it cannot find one an exception like this is present in the app master
logs. 
> {noformat}
> Exception in thread "ContainerLauncher #0" Exception in thread "ContainerLauncher #1"
java.lang.Error: org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:spark_shuffle
does not exist
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1151)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:spark_shuffle
does not exist
> 	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> 	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
> 	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> 	at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> 	at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:168)
> 	at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106)
> 	at org.apache.hadoop.yarn.client.api.impl.NMClientImpl.startContainer(NMClientImpl.java:206)
> 	at org.apache.spark.deploy.yarn.ExecutorRunnable.startContainer(ExecutorRunnable.scala:110)
> 	at org.apache.spark.deploy.yarn.ExecutorRunnable.run(ExecutorRunnable.scala:65)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	... 2 more
> java.lang.Error: org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:spark_shuffle
does not exist
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1151)
> 	at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> 	at java.lang.Thread.run(Thread.java:745)
> Caused by: org.apache.hadoop.yarn.exceptions.InvalidAuxServiceException: The auxService:spark_shuffle
does not exist
> 	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> 	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
> 	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> 	at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
> 	at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.instantiateException(SerializedExceptionPBImpl.java:168)
> 	at org.apache.hadoop.yarn.api.records.impl.pb.SerializedExceptionPBImpl.deSerialize(SerializedExceptionPBImpl.java:106)
> 	at org.apache.hadoop.yarn.client.api.impl.NMClientImpl.startContainer(NMClientImpl.java:206)
> 	at org.apache.spark.deploy.yarn.ExecutorRunnable.startContainer(ExecutorRunnable.scala:110)
> 	at org.apache.spark.deploy.yarn.ExecutorRunnable.run(ExecutorRunnable.scala:65)
> 	at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> 	... 2 more
> {noformat}
> We should propagate this error to the driver (in yarn-client mode) because it is otherwise
unclear why the number of executors expected are not starting up.



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