[ 
https://issues.apache.org/jira/browse/BEAM-1144?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15748328#comment-15748328
 ] 

ASF GitHub Bot commented on BEAM-1144:
--------------------------------------

GitHub user aviemzur opened a pull request:

    https://github.com/apache/incubator-beam/pull/1613

    [BEAM-1144] Spark runner fails to deserialize MicrobatchSource in cluster 
mode

    Be sure to do all of the following to help us incorporate your contribution
    quickly and easily:
    
     - [ ] Make sure the PR title is formatted like:
       `[BEAM-<Jira issue #>] Description of pull request`
     - [ ] Make sure tests pass via `mvn clean verify`. (Even better, enable
           Travis-CI on your fork and ensure the whole test matrix passes).
     - [ ] Replace `<Jira issue #>` in the title with the actual Jira issue
           number, if there is one.
     - [ ] If this contribution is large, please file an Apache
           [Individual Contributor License 
Agreement](https://www.apache.org/licenses/icla.txt).
    
    ---


You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/aviemzur/incubator-beam cnf-deserialize-issue

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/incubator-beam/pull/1613.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1613
    
----
commit 774d3b62a741ae892041a7ff40d7f78b3f6b2f3f
Author: Aviem Zur <aviem...@gmail.com>
Date:   2016-12-14T13:19:39Z

    [BEAM-1144] Spark runner fails to deserialize MicrobatchSource in cluster 
mode

----


> Spark runner fails to deserialize MicrobatchSource in cluster mode
> ------------------------------------------------------------------
>
>                 Key: BEAM-1144
>                 URL: https://issues.apache.org/jira/browse/BEAM-1144
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-spark
>            Reporter: Aviem Zur
>            Assignee: Amit Sela
>
> When running in cluster mode (yarn), spark runner fails on deserialization of 
> {{MicrobatchSource}}
> After changes made in BEAM-921 spark runner fails in cluster mode with the 
> following:
> {code}
> 16/12/12 04:27:01 ERROR ApplicationMaster: User class threw exception: 
> org.apache.beam.sdk.Pipeline$PipelineExecutionException: 
> com.esotericsoftware.kryo.KryoException: Error during Java deserialization.
> org.apache.beam.sdk.Pipeline$PipelineExecutionException: 
> com.esotericsoftware.kryo.KryoException: Error during Java deserialization.
>       at 
> org.apache.beam.runners.spark.SparkPipelineResult.beamExceptionFrom(SparkPipelineResult.java:72)
>       at 
> org.apache.beam.runners.spark.SparkPipelineResult.waitUntilFinish(SparkPipelineResult.java:115)
>       at 
> org.apache.beam.runners.spark.SparkPipelineResult.waitUntilFinish(SparkPipelineResult.java:101)
>       at 
> com.paypal.risk.platform.aleph.example.MapOnlyExample.main(MapOnlyExample.java:38)
>       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.spark.deploy.yarn.ApplicationMaster$$anon$2.run(ApplicationMaster.scala:559)
> Caused by: com.esotericsoftware.kryo.KryoException: Error during Java 
> deserialization.
>       at 
> com.esotericsoftware.kryo.serializers.JavaSerializer.read(JavaSerializer.java:42)
>       at com.esotericsoftware.kryo.Kryo.readClassAndObject(Kryo.java:729)
>       at 
> org.apache.spark.serializer.KryoDeserializationStream.readObject(KryoSerializer.scala:228)
>       at 
> org.apache.spark.serializer.DeserializationStream.readKey(Serializer.scala:169)
>       at 
> org.apache.spark.serializer.DeserializationStream$$anon$2.getNext(Serializer.scala:201)
>       at 
> org.apache.spark.serializer.DeserializationStream$$anon$2.getNext(Serializer.scala:198)
>       at org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
>       at scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
>       at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
>       at 
> org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
>       at 
> org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
>       at scala.collection.Iterator$class.foreach(Iterator.scala:727)
>       at 
> org.apache.spark.InterruptibleIterator.foreach(InterruptibleIterator.scala:28)
>       at 
> org.apache.spark.streaming.rdd.MapWithStateRDDRecord$.updateRecordWithData(MapWithStateRDD.scala:55)
>       at 
> org.apache.spark.streaming.rdd.MapWithStateRDD.compute(MapWithStateRDD.scala:155)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
>       at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:275)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:277)
>       at 
> org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
>       at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:313)
>       at org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
>       at org.apache.spark.rdd.RDD.iterator(RDD.scala:275)
>       at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
>       at org.apache.spark.scheduler.Task.run(Task.scala:89)
>       at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:227)
>       at 
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
>       at 
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
>       at java.lang.Thread.run(Thread.java:745)
> Caused by: java.lang.ClassNotFoundException: 
> org.apache.beam.runners.spark.io.MicrobatchSource
>       at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
>       at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
>       at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:331)
>       at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
>       at java.lang.Class.forName0(Native Method)
>       at java.lang.Class.forName(Class.java:348)
>       at java.io.ObjectInputStream.resolveClass(ObjectInputStream.java:626)
>       at 
> java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1613)
>       at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1518)
>       at 
> java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1774)
>       at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1351)
>       at java.io.ObjectInputStream.readObject(ObjectInputStream.java:371)
>       at 
> com.esotericsoftware.kryo.serializers.JavaSerializer.read(JavaSerializer.java:40)
>       ... 30 more
> {code}
> This seems to be caused by {{ClassLoader}} issues in the executor.
> Reverting BEAM-921 dose not remedy the situation because the previous 
> version, in turn fails to deserialize as well with:
> {code}
> java.lang.UnsupportedOperationException
>       at 
> com.google.common.collect.ImmutableCollection.add(ImmutableCollection.java:91)
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

Reply via email to