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Date: Mon, 19 Sep 2016 22:07:20 +0000 (UTC)
From: "Sumit Chawla (JIRA)" <jira@apache.org>
To: commits@beam.incubator.apache.org
Message-ID: <JIRA.13006056.1474322805000.610041.1474322840621@Atlassian.JIRA>
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Subject: [jira] [Created] (BEAM-642) FlinkRunner does not support Detached
 Mode
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archived-at: Mon, 19 Sep 2016 22:07:25 -0000

Sumit Chawla created BEAM-642:
---------------------------------

             Summary: 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-spark
            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).


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