zhaoshijie created SPARK-22955:
----------------------------------
Summary: Error generating jobs when Stopping JobGenerator
gracefully
Key: SPARK-22955
URL: https://issues.apache.org/jira/browse/SPARK-22955
Project: Spark
Issue Type: Bug
Components: DStreams
Affects Versions: 2.2.0
Reporter: zhaoshijie
when I stop a spark-streaming application with parameter
spark.streaming.stopGracefullyOnShutdown, I get ERROR as follows:
{code:java}
2018-01-04 17:31:17,524 ERROR org.apache.spark.deploy.yarn.ApplicationMaster:
RECEIVED SIGNAL TERM
2018-01-04 17:31:17,527 INFO org.apache.spark.streaming.StreamingContext:
Invoking stop(stopGracefully=true) from shutdown hook
2018-01-04 17:31:17,530 INFO
org.apache.spark.streaming.scheduler.ReceiverTracker: ReceiverTracker stopped
2018-01-04 17:31:17,531 INFO org.apache.spark.streaming.scheduler.JobGenerator:
Stopping JobGenerator gracefully
2018-01-04 17:31:17,532 INFO org.apache.spark.streaming.scheduler.JobGenerator:
Waiting for all received blocks to be consumed for job generation
2018-01-04 17:31:17,533 INFO org.apache.spark.streaming.scheduler.JobGenerator:
Waited for all received blocks to be consumed for job generation
2018-01-04 17:31:17,747 INFO org.apache.spark.streaming.scheduler.JobScheduler:
Added jobs for time 1515058267000 ms
2018-01-04 17:31:18,302 INFO org.apache.spark.streaming.scheduler.JobScheduler:
Added jobs for time 1515058268000 ms
2018-01-04 17:31:18,785 INFO org.apache.spark.streaming.scheduler.JobScheduler:
Added jobs for time 1515058269000 ms
2018-01-04 17:31:19,001 INFO org.apache.spark.streaming.util.RecurringTimer:
Stopped timer for JobGenerator after time 1515058279000
2018-01-04 17:31:19,200 INFO org.apache.spark.streaming.scheduler.JobScheduler:
Added jobs for time 1515058270000 ms
2018-01-04 17:31:19,207 INFO org.apache.spark.streaming.scheduler.JobGenerator:
Stopped generation timer
2018-01-04 17:31:19,207 INFO org.apache.spark.streaming.scheduler.JobGenerator:
Waiting for jobs to be processed and checkpoints to be written
2018-01-04 17:31:19,210 ERROR
org.apache.spark.streaming.scheduler.JobScheduler: Error generating jobs for
time 1515058271000 ms
java.lang.IllegalStateException: This consumer has already been closed.
at
org.apache.kafka.clients.consumer.KafkaConsumer.ensureNotClosed(KafkaConsumer.java:1417)
at
org.apache.kafka.clients.consumer.KafkaConsumer.acquire(KafkaConsumer.java:1428)
at
org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:929)
at
org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.paranoidPoll(DirectKafkaInputDStream.scala:161)
at
org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.latestOffsets(DirectKafkaInputDStream.scala:180)
at
org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:208)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:336)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:334)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:331)
at
org.apache.spark.streaming.dstream.TransformedDStream$$anonfun$6.apply(TransformedDStream.scala:42)
at
org.apache.spark.streaming.dstream.TransformedDStream$$anonfun$6.apply(TransformedDStream.scala:42)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at
scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
at scala.collection.immutable.List.map(List.scala:285)
at
org.apache.spark.streaming.dstream.TransformedDStream.compute(TransformedDStream.scala:42)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.TransformedDStream.createRDDWithLocalProperties(TransformedDStream.scala:65)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:336)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:334)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:331)
at
org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:36)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:336)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:334)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:331)
at
org.apache.spark.streaming.dstream.FlatMappedDStream.compute(FlatMappedDStream.scala:36)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:336)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:334)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:331)
at
org.apache.spark.streaming.dstream.MappedDStream.compute(MappedDStream.scala:36)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:336)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:334)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:331)
at
org.apache.spark.streaming.dstream.ShuffledDStream.compute(ShuffledDStream.scala:41)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:342)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:416)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:336)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:334)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:331)
at
org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:48)
at
org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:122)
at
org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:121)
at
scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at
scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at
scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
at scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
at
scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
at
org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:121)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:249)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:247)
at scala.util.Try$.apply(Try.scala:192)
at
org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:247)
at
org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:183)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:89)
at
org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:88)
at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
{code}
It looks like KafkaConsumer close before JobGenerator stop , then I view the
source code,
!https://github.com/smdfj/picture/blob/master/spark/JobGenerator.png!
I find graph.stop() will stop Dstream,then close KafkaConsumer,but
JobGenerator.eventLoop has not stopped,so error occured.
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