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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