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From Cody Koeninger <c...@koeninger.org>
Subject Re: ERROR ArrayBuffer(java.nio.channels.ClosedChannelException
Date Fri, 18 Mar 2016 18:19:45 GMT
Sounds like you're using one of the KafkaUtils.createDirectStream
overloads that needs to do some broker communication in order to even
construct the stream, because you aren't providing topicpartitions?
Just wrap your construction attempt in a try / catch and retry in
whatever way makes sense for you.

I'd also look in to why it's failing to communicate with brokers, though.

On Fri, Mar 18, 2016 at 1:03 PM, Bryan Jeffrey <bryan.jeffrey@gmail.com> wrote:
> Cody et. al,
>
> I am seeing a similar error.  I've increased the number of retries.  Once
> I've got a job up and running I'm seeing it retry correctly. However, I am
> having trouble getting the job started - number of retries does not seem to
> help with startup behavior.
>
> Thoughts?
>
> Regards,
>
> Bryan Jeffrey
>
> On Fri, Mar 18, 2016 at 10:44 AM, Cody Koeninger <cody@koeninger.org> wrote:
>>
>> 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.manchikanti@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.moss@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
>> >
>> >
>>
>> ---------------------------------------------------------------------
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>>
>

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