That's a networking error when the driver is attempting to contact leaders to get the latest available offsets.
If it's a transient error, you can look at increasing the value of spark.streaming.kafka.maxRetries, see http://spark.apache.org/docs/latest/configuration.html If it's not a transient error, you need to look at your brokers + your network environment. On Thu, Mar 17, 2016 at 10:59 PM, Surendra , Manchikanti <surendra.manchika...@gmail.com> wrote: > Hi, > > Can you check Kafka topic replication ? And leader information? > > Regards, > Surendra M > > > > -- Surendra Manchikanti > > On Thu, Mar 17, 2016 at 7:28 PM, Ascot Moss <ascot.m...@gmail.com> wrote: >> >> Hi, >> >> I have a SparkStream (with Kafka) job, after running several days, it >> failed with following errors: >> ERROR DirectKafkaInputDStream: >> ArrayBuffer(java.nio.channels.ClosedChannelException) >> >> Any idea what would be wrong? will it be SparkStreaming buffer overflow >> issue? >> >> >> >> Regards >> >> >> >> >> >> >> *** from the log *** >> >> 16/03/18 09:15:18 INFO VerifiableProperties: Property zookeeper.connect is >> overridden to >> >> 16/03/17 12:13:51 ERROR DirectKafkaInputDStream: >> ArrayBuffer(java.nio.channels.ClosedChannelException) >> >> 16/03/17 12:13:52 INFO SimpleConsumer: Reconnect due to socket error: >> java.nio.channels.ClosedChannelException >> >> 16/03/17 12:13:52 ERROR JobScheduler: Error generating jobs for time >> 1458188031800 ms >> >> org.apache.spark.SparkException: >> ArrayBuffer(java.nio.channels.ClosedChannelException) >> >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream.latestLeaderOffsets(DirectKafkaInputDStream.scala:123) >> >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:145) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) >> >> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) >> >> at >> org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342) >> >> at scala.Option.orElse(Option.scala:257) >> >> at >> org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339) >> >> at >> org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:38) >> >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120) >> >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120) >> >> at >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) >> >> at >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) >> >> at >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> >> at >> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) >> >> at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) >> >> at >> org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:120) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:247) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:245) >> >> at scala.util.Try$.apply(Try.scala:161) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:245) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:181) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$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) >> >> Exception in thread "main" org.apache.spark.SparkException: >> ArrayBuffer(java.nio.channels.ClosedChannelException) >> >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream.latestLeaderOffsets(DirectKafkaInputDStream.scala:123) >> >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:145) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) >> >> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) >> >> at >> org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342) >> >> at scala.Option.orElse(Option.scala:257) >> >> at >> org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339) >> >> at >> org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:38) >> >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120) >> >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120) >> >> at >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) >> >> at >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) >> >> at >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> >> at >> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) >> >> at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) >> >> at >> org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:120) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:247) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:245) >> >> at scala.util.Try$.apply(Try.scala:161) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:245) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:181) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$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) >> >> 16/03/17 12:13:52 INFO StreamingContext: Invoking >> stop(stopGracefully=false) from shutdown hook >> >> 16/03/17 12:13:52 INFO JobGenerator: Stopping JobGenerator immediately >> >> 16/03/17 12:13:52 INFO RecurringTimer: Stopped timer for JobGenerator >> after time 1458188032000 >> >> 16/03/17 12:13:52 INFO SimpleConsumer: Reconnect due to socket error: >> java.nio.channels.ClosedChannelException >> >> 16/03/17 12:13:52 ERROR DirectKafkaInputDStream: >> ArrayBuffer(java.nio.channels.ClosedChannelException) >> >> 16/03/17 12:13:52 INFO SimpleConsumer: Reconnect due to socket error: >> java.nio.channels.ClosedChannelException >> >> 16/03/17 12:13:52 ERROR JobScheduler: Error generating jobs for time >> 1458188031900 ms >> >> org.apache.spark.SparkException: >> ArrayBuffer(java.nio.channels.ClosedChannelException, >> org.apache.spark.SparkException: Couldn't find leader offsets for >> Set([Allergy,0])) >> >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream.latestLeaderOffsets(DirectKafkaInputDStream.scala:123) >> >> at >> org.apache.spark.streaming.kafka.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:145) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:350) >> >> at scala.util.DynamicVariable.withValue(DynamicVariable.scala:57) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:349) >> >> at >> org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:399) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:344) >> >> at >> org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:342) >> >> at scala.Option.orElse(Option.scala:257) >> >> at >> org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:339) >> >> at >> org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:38) >> >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120) >> >> at >> org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:120) >> >> at >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) >> >> at >> scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:251) >> >> at >> scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59) >> >> at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47) >> >> at >> scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:251) >> >> at scala.collection.AbstractTraversable.flatMap(Traversable.scala:105) >> >> at >> org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:120) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:247) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$2.apply(JobGenerator.scala:245) >> >> at scala.util.Try$.apply(Try.scala:161) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:245) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:181) >> >> at >> org.apache.spark.streaming.scheduler.JobGenerator$$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) >> >> 16/03/17 12:13:52 INFO SimpleConsumer: Reconnect due to socket error: >> java.nio.channels.ClosedChannelException >> >> 16/03/17 12:13:52 ERROR DirectKafkaInputDStream: >> ArrayBuffer(java.nio.channels.ClosedChannelException) >> >> 16/03/17 12:13:52 INFO JobGenerator: Stopped JobGenerator >> >> 16/03/17 12:13:52 INFO JobScheduler: Stopped JobScheduler >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/streaming,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/streaming/batch,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/static/streaming,null} >> >> 16/03/17 12:13:52 INFO StreamingContext: StreamingContext stopped >> successfully >> >> 16/03/17 12:13:52 INFO SparkContext: Invoking stop() from shutdown hook >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/streaming/batch/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/streaming/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/metrics/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages/stage/kill,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/api,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/static,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/executors/threadDump/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/executors/threadDump,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/executors/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/executors,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/environment/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/environment,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/storage/rdd/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/storage/rdd,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/storage/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/storage,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages/pool/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages/pool,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages/stage/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages/stage,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/stages,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/jobs/job/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/jobs/job,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/jobs/json,null} >> >> 16/03/17 12:13:52 INFO ContextHandler: stopped >> o.s.j.s.ServletContextHandler{/jobs,null} >> >> 16/03/17 12:13:52 INFO SparkUI: Stopped Spark web UI at >> http://192.168.10.31:4042 >> >> 16/03/17 12:13:52 INFO DAGScheduler: Stopping DAGScheduler >> >> 16/03/17 12:13:52 INFO MapOutputTrackerMasterEndpoint: >> MapOutputTrackerMasterEndpoint stopped! >> >> 16/03/17 12:13:52 INFO MemoryStore: MemoryStore cleared >> >> 16/03/17 12:13:52 INFO BlockManager: BlockManager stopped >> >> 16/03/17 12:13:52 INFO BlockManagerMaster: BlockManagerMaster stopped >> >> 16/03/17 12:13:52 INFO >> OutputCommitCoordinator$OutputCommitCoordinatorEndpoint: >> OutputCommitCoordinator stopped! >> >> 16/03/17 12:13:52 INFO RemoteActorRefProvider$RemotingTerminator: Shutting >> down remote daemon. >> >> 16/03/17 12:13:52 INFO RemoteActorRefProvider$RemotingTerminator: Remote >> daemon shut down; proceeding with flushing remote transports. >> >> 16/03/17 12:13:52 INFO RemoteActorRefProvider$RemotingTerminator: Remoting >> shut down. >> >> 16/03/17 12:13:52 INFO SparkContext: Successfully stopped SparkContext >> >> 16/03/17 12:13:52 INFO ShutdownHookManager: Shutdown hook called >> >> 16/03/17 12:13:52 INFO ShutdownHookManager: Deleting directory >> /tmp/spark-c6376f77-9f5a-4f76-bbaf-6fa8eb37870a > > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
