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Posted to commits@beam.apache.org by "Stas Levin (JIRA)" <ji...@apache.org> on 2016/09/23 11:43:21 UTC
[jira] [Updated] (BEAM-637) WindowedValue$ValueInGlobalWindow is
not serializable when using JavaSerializer instead of Kryo
[ https://issues.apache.org/jira/browse/BEAM-637?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Stas Levin updated BEAM-637:
----------------------------
Priority: Minor (was: Major)
> WindowedValue$ValueInGlobalWindow is not serializable when using JavaSerializer instead of Kryo
> ------------------------------------------------------------------------------------------------
>
> Key: BEAM-637
> URL: https://issues.apache.org/jira/browse/BEAM-637
> Project: Beam
> Issue Type: Bug
> Components: runner-spark
> Reporter: Stas Levin
> Assignee: Amit Sela
> Priority: Minor
>
> When using {{JavaSerializer}} instead of {{KryoSerializer}} by configuring {{JavaSparkContext}} with {{"spark.serializer"}} set to {{JavaSerializer.class.getCanonicalName()}}, an exception is thrown:
> {noformat}
> object not serializable (class: org.apache.beam.sdk.util.WindowedValue$ValueInGlobalWindow, value: ValueInGlobalWindow{value=hi there, pane=PaneInfo.NO_FIRING})
> {noformat}
> {noformat}
> Serialization stack:
> - object not serializable (class: org.apache.beam.sdk.util.WindowedValue$ValueInGlobalWindow, value: ValueInGlobalWindow{value=hi there, pane=PaneInfo.NO_FIRING})
> at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1431)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1419)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1418)
> at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
> at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1418)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
> at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:799)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:799)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1640)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1599)
> at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1588)
> at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
> at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:620)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1832)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1845)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1858)
> at org.apache.spark.SparkContext.runJob(SparkContext.scala:1929)
> at org.apache.spark.rdd.RDD.count(RDD.scala:1157)
> at org.apache.spark.api.java.JavaRDDLike$class.count(JavaRDDLike.scala:440)
> at org.apache.spark.api.java.AbstractJavaRDDLike.count(JavaRDDLike.scala:46)
> at org.apache.beam.runners.spark.translation.streaming.StreamingEvaluationContext$1.call(StreamingEvaluationContext.java:175)
> at org.apache.beam.runners.spark.translation.streaming.StreamingEvaluationContext$1.call(StreamingEvaluationContext.java:172)
> at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$3.apply(JavaDStreamLike.scala:335)
> at org.apache.spark.streaming.api.java.JavaDStreamLike$$anonfun$foreachRDD$3.apply(JavaDStreamLike.scala:335)
> at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661)
> at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:661)
> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:50)
> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50)
> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:50)
> at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:426)
> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:49)
> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:49)
> at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:49)
> at scala.util.Try$.apply(Try.scala:161)
> at org.apache.spark.streaming.scheduler.Job.run(Job.scala:39)
> at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:224)
> at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:224)
> at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:224)
> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57)
> at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:223)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> {noformat}
> This issue is reproducible with the {{SimpleStreamingWordCountTest#testRun}} test (given {{JavaSerialiser}} is configured).
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