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From "ASF GitHub Bot (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (BEAM-2029) NullPointerException when using multi output ParDo in Spark runner in streaming mode.
Date Thu, 27 Apr 2017 20:50:04 GMT

    [ https://issues.apache.org/jira/browse/BEAM-2029?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15987641#comment-15987641
] 

ASF GitHub Bot commented on BEAM-2029:
--------------------------------------

GitHub user aviemzur opened a pull request:

    https://github.com/apache/beam/pull/2746

    [BEAM-2029] NullPointerException when using multi output ParDo in Spark runner in streaming
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.pdf).
    
    ---


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

    $ git pull https://github.com/aviemzur/beam npe-in-multiple-output-pardo-spark-streaming

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

    https://github.com/apache/beam/pull/2746.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 #2746
    
----

----


> NullPointerException when using multi output ParDo in Spark runner in streaming mode.
> -------------------------------------------------------------------------------------
>
>                 Key: BEAM-2029
>                 URL: https://issues.apache.org/jira/browse/BEAM-2029
>             Project: Beam
>          Issue Type: Bug
>          Components: runner-spark
>            Reporter: Etienne Chauchot
>            Assignee: Aviem Zur
>             Fix For: First stable release
>
>
> Behavior:
> {{context.borrowDataset(transform)}} returns null.
> stackTrace
> {code}
> 17/04/20 15:00:58 INFO org.apache.beam.runners.spark.SparkRunner$Evaluator: Evaluating
GroupByKey
> Exception in thread "main" java.lang.NullPointerException
> 	at org.apache.beam.runners.spark.translation.streaming.StreamingTransformTranslator$6.evaluate(StreamingTransformTranslator.java:272)
> 	at org.apache.beam.runners.spark.translation.streaming.StreamingTransformTranslator$6.evaluate(StreamingTransformTranslator.java:267)
> 	at org.apache.beam.runners.spark.SparkRunner$Evaluator.doVisitTransform(SparkRunner.java:409)
> 	at org.apache.beam.runners.spark.SparkRunner$Evaluator.visitPrimitiveTransform(SparkRunner.java:395)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:488)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.visit(TransformHierarchy.java:483)
> 	at org.apache.beam.sdk.runners.TransformHierarchy$Node.access$400(TransformHierarchy.java:232)
> 	at org.apache.beam.sdk.runners.TransformHierarchy.visit(TransformHierarchy.java:207)
> 	at org.apache.beam.sdk.Pipeline.traverseTopologically(Pipeline.java:384)
> 	at org.apache.beam.runners.spark.translation.streaming.SparkRunnerStreamingContextFactory.call(SparkRunnerStreamingContextFactory.java:88)
> 	at org.apache.beam.runners.spark.translation.streaming.SparkRunnerStreamingContextFactory.call(SparkRunnerStreamingContextFactory.java:47)
> 	at org.apache.spark.streaming.api.java.JavaStreamingContext$$anonfun$10.apply(JavaStreamingContext.scala:776)
> 	at org.apache.spark.streaming.api.java.JavaStreamingContext$$anonfun$10.apply(JavaStreamingContext.scala:775)
> 	at scala.Option.getOrElse(Option.scala:120)
> 	at org.apache.spark.streaming.StreamingContext$.getOrCreate(StreamingContext.scala:864)
> 	at org.apache.spark.streaming.api.java.JavaStreamingContext$.getOrCreate(JavaStreamingContext.scala:775)
> 	at org.apache.spark.streaming.api.java.JavaStreamingContext.getOrCreate(JavaStreamingContext.scala)
> 	at org.apache.beam.runners.spark.SparkRunner.run(SparkRunner.java:155)
> 	at org.apache.beam.runners.spark.SparkRunner.run(SparkRunner.java:85)
> 	at org.apache.beam.sdk.Pipeline.run(Pipeline.java:276)
> 	at org.apache.beam.integration.nexmark.NexmarkRunner.run(NexmarkRunner.java:1232)
> 	at org.apache.beam.integration.nexmark.NexmarkDriver.runAll(NexmarkDriver.java:69)
> 	at org.apache.beam.integration.nexmark.drivers.NexmarkSparkDriver.main(NexmarkSparkDriver.java:46)
> 	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:498)
> 	at com.intellij.rt.execution.application.AppMain.main(AppMain.java:147)
> {code}



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