[ https://issues.apache.org/jira/browse/BEAM-2029?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Aviem Zur updated BEAM-2029: ---------------------------- Fix Version/s: First stable release > 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} -- This message was sent by Atlassian JIRA (v6.3.15#6346)