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. >> > >
