I'm using 1.5.0 of Spark confirmed. Less this jar file:/opt/centralLogs/lib/spark-catalyst_2.10-1.5.1.jar.
I'm going to keep looking for,, Thank you!. 2016-01-21 16:29 GMT+01:00 Ted Yu <yuzhih...@gmail.com>: > Maybe this is related (fixed in 1.5.3): > SPARK-11195 Exception thrown on executor throws ClassNotFoundException on > driver > > FYI > > On Thu, Jan 21, 2016 at 7:10 AM, Guillermo Ortiz <konstt2...@gmail.com> > wrote: > >> I'm using CDH 5.5.1 with Spark 1.5.x (I think that it's 1.5.2). >> >> I know that the library is here: >> cloud-user@ose10kafkaelk:/opt/centralLogs/lib$ jar tf >> elasticsearch-hadoop-2.2.0-beta1.jar | grep >> EsHadoopIllegalArgumentException >> org/elasticsearch/hadoop/EsHadoopIllegalArgumentException.class >> >> I have check in SparkUI with the process running >> http://10.129.96.55:39320/jars/elasticsearch-hadoop-2.2.0-beta1.jar Added >> By User >> And spark.jars from SparkUI. >> >> .....file:/opt/centralLogs/lib/elasticsearch-hadoop-2.2.0-beta1.jar,file:/opt/centralLogs/lib/geronimo-annotation_1.0_spec-1.1.1.jar,.... >> >> I think that in yarn-client although it has the error it doesn't stop the >> execution, but I don't know why. >> >> >> >> 2016-01-21 15:55 GMT+01:00 Ted Yu <yuzhih...@gmail.com>: >> >>> Looks like jar containing EsHadoopIllegalArgumentException class wasn't >>> in the classpath. >>> Can you double check ? >>> >>> Which Spark version are you using ? >>> >>> Cheers >>> >>> On Thu, Jan 21, 2016 at 6:50 AM, Guillermo Ortiz <konstt2...@gmail.com> >>> wrote: >>> >>>> 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. >>>> >>> >>> >> >
