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
>
