Hi Lokesh, Please provide further information to help identify the issue.
1) Are you running in a standalone mode or cluster mode? If cluster, then is a spark master/slave or YARN/Mesos? 2) Have you tried checking if all ports between your master and the machine with IP 192.168.43.167 are accessible? 3) Have you checked the memory consumption of the executors/driver running in the cluster? Akshay Bhardwaj +91-97111-33849 On Wed, Feb 27, 2019 at 8:27 PM lokeshkumar <lok...@dataken.net> wrote: > Hi All > > We are running Spark version 2.4.0 and we run few Spark streaming jobs > listening on Kafka topics. We receive an average of 10-20 msgs per second. > And the Spark master has been going down after 1-2 hours of it running. > Exception is given below: > Along with that spark executors also get killed. > > This was not happening with Spark 2.1.1 it started happening with Spark > 2.4.0 any help/suggestion is appreciated. > > The exception that we see is > > Exception in thread "main" java.lang.reflect.UndeclaredThrowableException > at > > org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1713) > at > > org.apache.spark.deploy.SparkHadoopUtil.runAsSparkUser(SparkHadoopUtil.scala:64) > at > > org.apache.spark.executor.CoarseGrainedExecutorBackend$.run(CoarseGrainedExecutorBackend.scala:188) > at > > org.apache.spark.executor.CoarseGrainedExecutorBackend$.main(CoarseGrainedExecutorBackend.scala:281) > at > > org.apache.spark.executor.CoarseGrainedExecutorBackend.main(CoarseGrainedExecutorBackend.scala) > Caused by: org.apache.spark.rpc.RpcTimeoutException: Cannot receive any > reply from 192.168.43.167:40007 in 120 seconds. This timeout is controlled > by spark.rpc.askTimeout > at > org.apache.spark.rpc.RpcTimeout.org > $apache$spark$rpc$RpcTimeout$$createRpcTimeoutException(RpcTimeout.scala:47) > at > > org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:62) > at > > org.apache.spark.rpc.RpcTimeout$$anonfun$addMessageIfTimeout$1.applyOrElse(RpcTimeout.scala:58) > at > > scala.runtime.AbstractPartialFunction.apply(AbstractPartialFunction.scala:36) > at scala.util.Failure$$anonfun$recover$1.apply(Try.scala:216) > at scala.util.Try$.apply(Try.scala:192) > at scala.util.Failure.recover(Try.scala:216) > at > scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326) > at > scala.concurrent.Future$$anonfun$recover$1.apply(Future.scala:326) > at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:36) > at > > org.spark_project.guava.util.concurrent.MoreExecutors$SameThreadExecutorService.execute(MoreExecutors.java:293) > at > > scala.concurrent.impl.ExecutionContextImpl$$anon$1.execute(ExecutionContextImpl.scala:136) > at > scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:44) > at > scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:252) > at scala.concurrent.Promise$class.complete(Promise.scala:55) > at > scala.concurrent.impl.Promise$DefaultPromise.complete(Promise.scala:157) > at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237) > at scala.concurrent.Future$$anonfun$map$1.apply(Future.scala:237) > at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:36) > at > > scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:63) > at > > scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:78) > at > > scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55) > at > > scala.concurrent.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:55) > at > scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72) > at > scala.concurrent.BatchingExecutor$Batch.run(BatchingExecutor.scala:54) > at > > scala.concurrent.Future$InternalCallbackExecutor$.unbatchedExecute(Future.scala:601) > at > scala.concurrent.BatchingExecutor$class.execute(BatchingExecutor.scala:106) > at > scala.concurrent.Future$InternalCallbackExecutor$.execute(Future.scala:599) > at > scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:44) > at > scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:252) > at scala.concurrent.Promise$class.tryFailure(Promise.scala:112) > at > scala.concurrent.impl.Promise$DefaultPromise.tryFailure(Promise.scala:157) > at > org.apache.spark.rpc.netty.NettyRpcEnv.org > $apache$spark$rpc$netty$NettyRpcEnv$$onFailure$1(NettyRpcEnv.scala:206) > at > org.apache.spark.rpc.netty.NettyRpcEnv$$anon$1.run(NettyRpcEnv.scala:243) > at > java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) > at java.util.concurrent.FutureTask.run(FutureTask.java:266) > at > > java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) > at > > java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) > at > > java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) > at > > java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) > at java.lang.Thread.run(Thread.java:745) > Caused by: java.util.concurrent.TimeoutException: Cannot receive any reply > from 192.168.43.167:40007 in 120 seconds > > > > -- > Sent from: http://apache-spark-user-list.1001560.n3.nabble.com/ > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
