[ https://issues.apache.org/jira/browse/BEAM-642?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sumit Chawla updated BEAM-642: ------------------------------ Component/s: (was: runner-spark) runner-flink > FlinkRunner does not support Detached Mode > ------------------------------------------ > > Key: BEAM-642 > URL: https://issues.apache.org/jira/browse/BEAM-642 > Project: Beam > Issue Type: Bug > Components: runner-flink > Reporter: Sumit Chawla > Assignee: Amit Sela > > 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). -- This message was sent by Atlassian JIRA (v6.3.4#6332)