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. >>> >> >> >
