I'm runing a Spark Streaming process and it stops in a while. It makes some process an insert the result in ElasticSeach with its library. After a while the process fail.
I have been checking the logs and I have seen this error 2016-01-21 14:57:54,388 [sparkDriver-akka.actor.default-dispatcher-17] INFO org.apache.spark.storage.BlockManagerInfo - Added broadcast_2_piece0 in memory on ose11kafkaelk.novalocal:46913 (size: 6.0 KB, free: 530.3 MB) 2016-01-21 14:57:54,646 [task-result-getter-1] INFO org.apache.spark.scheduler.TaskSetManager - Finished task 0.0 in stage 2.0 (TID 7) in 397 ms on ose12kafkaelk.novalocal (1/6) 2016-01-21 14:57:54,647 [task-result-getter-2] INFO org.apache.spark.scheduler.TaskSetManager - Finished task 2.0 in stage 2.0 (TID 10) in 395 ms on ose12kafkaelk.novalocal (2/6) 2016-01-21 14:57:54,731 [task-result-getter-3] INFO org.apache.spark.scheduler.TaskSetManager - Finished task 5.0 in stage 2.0 (TID 9) in 481 ms on ose11kafkaelk.novalocal (3/6) 2016-01-21 14:57:54,844 [task-result-getter-1] INFO org.apache.spark.scheduler.TaskSetManager - Finished task 4.0 in stage 2.0 (TID 8) in 595 ms on ose10kafkaelk.novalocal (4/6) 2016-01-21 14:57:54,850 [task-result-getter-0] WARN org.apache.spark.ThrowableSerializationWrapper - Task exception could not be deserialized java.lang.ClassNotFoundException: org.elasticsearch.hadoop.EsHadoopIllegalArgumentException at java.net.URLClassLoader$1.run(URLClassLoader.java:366) at java.net.URLClassLoader$1.run(URLClassLoader.java:355) at java.security.AccessController.doPrivileged(Native Method) I don't know why I'm getting this error because the class org.elasticsearch.hadoop.EsHadoopIllegalArgumentException is in the library of elasticSearch. After this error I get others error and finally Spark ends. 2016-01-21 14:57:55,012 [JobScheduler] INFO org.apache.spark.streaming.scheduler.JobScheduler - Starting job streaming job 1453384640000 ms.0 from job set of time 1453384640000 ms 2016-01-21 14:57:55,012 [JobScheduler] ERROR org.apache.spark.streaming.scheduler.JobScheduler - Error running job streaming job 1453384635000 ms.0 org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 2.0 failed 4 times, most recent failure: Lost task 1.3 in stage 2.0 (TID 13, ose11kafkaelk.novalocal): UnknownReason Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1294) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1282) at org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1281) at scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) at org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1281) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697) at scala.Option.foreach(Option.scala:236) at org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1507) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1469) at org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1458) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) at org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1824) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1837) at org.apache.spark.SparkContext.runJob(SparkContext.scala:1914) at org.elasticsearch.spark.rdd.EsSpark$.saveToEs(EsSpark.scala:67) at org.elasticsearch.spark.rdd.EsSpark$.saveToEs(EsSpark.scala:54) at org.elasticsearch.spark.rdd.EsSpark$.saveJsonToEs(EsSpark.scala:90) at org.elasticsearch.spark.package$SparkJsonRDDFunctions.saveJsonToEs(package.scala:44) at produban.spark.CentralLog$$anonfun$createContext$1.apply(CentralLog.scala:56) at produban.spark.CentralLog$$anonfun$createContext$1.apply(CentralLog.scala:33) at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:631) at org.apache.spark.streaming.dstream.DStream$$anonfun$foreachRDD$1$$anonfun$apply$mcV$sp$3.apply(DStream.scala:631) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ForEachDStream.scala:42) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:40) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1$$anonfun$apply$mcV$sp$1.apply(ForEachDStream.scala:40) at org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply$mcV$sp(ForEachDStream.scala:40) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:40) at org.apache.spark.streaming.dstream.ForEachDStream$$anonfun$1.apply(ForEachDStream.scala:40) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.Job.run(Job.scala:34) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply$mcV$sp(JobScheduler.scala:207) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:207) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler$$anonfun$run$1.apply(JobScheduler.scala:207) at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:206) 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) 2016-01-21 14:57:55,015 [Driver] ERROR org.apache.spark.deploy.yarn.ApplicationMaster - User class threw exception: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 2.0 failed 4 times, most recent failure: Lost task 1.3 in stage 2.0 (TID 13, ose11kafkaelk.novalocal): UnknownReason Driver stacktrace: org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 2.0 failed 4 times, most recent failure: Lost task 1.3 in stage 2.0 (TID 13, ose11kafkaelk.novalocal): UnknownReason Driver stacktrace: at org.apache.spark.scheduler.DAGScheduler.org $apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1294) 016-01-21 14:57:56,736 [JobGenerator] ERROR org.apache.spark.streaming.CheckpointWriter - Could not submit checkpoint task to the thread pool executor java.util.concurrent.RejectedExecutionException: Task org.apache.spark.streaming.CheckpointWriter$CheckpointWriteHandler@32a9f9db rejected from java.util.concurrent.ThreadPoolExecutor@28ac8892[Shutting down, pool size = 1, active threads = 1, queued tasks = 0, completed tasks = 0] at java.util.concurrent.ThreadPoolExecutor$AbortPolicy.rejectedExecution(ThreadPoolExecutor.java:2048) at java.util.concurrent.ThreadPoolExecutor.reject(ThreadPoolExecutor.java:821) at java.util.concurrent.ThreadPoolExecutor.execute(ThreadPoolExecutor.java:1372) at org.apache.spark.streaming.CheckpointWriter.write(Checkpoint.scala:253) at org.apache.spark.streaming.scheduler.JobGenerator.doCheckpoint(JobGenerator.scala:294) at org.apache.spark.streaming.scheduler.JobGenerator.org $apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:184) at org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:87) at org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:86) at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48) 2016-01-21 14:58:05,090 [Thread-3] INFO org.apache.spark.streaming.CheckpointWriter - CheckpointWriter executor terminated ? false, waited for 10001 ms. 2016-01-21 14:58:05,092 [pool-19-thread-1] WARN org.apache.hadoop.ipc.Client - interrupted waiting to send rpc request to server java.lang.InterruptedException at java.util.concurrent.FutureTask.awaitDone(FutureTask.java:400) at java.util.concurrent.FutureTask.get(FutureTask.java:187) When I execute Spark in yarn-client mode, same error happens but Spark doesn't stop. Although how I don't know how to reproduce I'm not sure 100% of this... I should do something if I change of yarn-cluster to yarn-client? It seems that it doesn't have that class.
