Jepson created SPARK-22968:
------------------------------
Summary: java.lang.IllegalStateException: No current assignment
for partition kssh-2
Key: SPARK-22968
URL: https://issues.apache.org/jira/browse/SPARK-22968
Project: Spark
Issue Type: Bug
Components: Spark Core
Affects Versions: 2.1.1
Environment: Kafka: 0.10.0 (CDH5.12.0)
Apache Spark 2.1.1
Spark streaming+Kafka
Reporter: Jepson
*Error message:*
{code:java}
8/01/05 09:48:27 INFO internals.ConsumerCoordinator: Revoking previously
assigned partitions [kssh-7, kssh-4, kssh-3, kssh-6, kssh-5, kssh-0, kssh-2,
kssh-1] for group use_a_separate_group_id_for_each_stream
18/01/05 09:48:27 INFO internals.AbstractCoordinator: (Re-)joining group
use_a_separate_group_id_for_each_stream
18/01/05 09:48:27 INFO internals.AbstractCoordinator: Successfully joined group
use_a_separate_group_id_for_each_stream with generation 4
18/01/05 09:48:27 INFO internals.ConsumerCoordinator: Setting newly assigned
partitions [kssh-7, kssh-4, kssh-6, kssh-5] for group
use_a_separate_group_id_for_each_stream
18/01/05 09:48:27 ERROR scheduler.JobScheduler: Error generating jobs for time
1515116907000 ms
java.lang.IllegalStateException: No current assignment for partition kssh-2
at
org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState(SubscriptionState.java:231)
at
org.apache.kafka.clients.consumer.internals.SubscriptionState.needOffsetReset(SubscriptionState.java:295)
at
org.apache.kafka.clients.consumer.KafkaConsumer.seekToEnd(KafkaConsumer.java:1169)
at
org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.latestOffsets(DirectKafkaInputDStream.scala:197)
at
org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:214)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
at
org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:335)
at
org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:333)
at scala.Option.orElse(Option.scala:289)
at
org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:330)
at
org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:48)
at
org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:117)
at
org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:116)
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:116)
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)
18/01/05 09:48:27 INFO yarn.ApplicationMaster: Final app status: SUCCEEDED,
exitCode: 0
18/01/05 09:48:27 INFO streaming.StreamingContext: Invoking
stop(stopGracefully=false) from shutdown hook
18/01/05 09:48:27 INFO scheduler.ReceiverTracker: ReceiverTracker stopped
18/01/05 09:48:27 INFO scheduler.JobGenerator: Stopping JobGenerator immediately
18/01/05 09:48:27 INFO util.RecurringTimer: Stopped timer for JobGenerator
after time 1515116907000
18/01/05 09:48:27 INFO scheduler.JobGenerator: Stopped JobGenerator
18/01/05 09:48:27 INFO scheduler.JobScheduler: Stopped JobScheduler
{code}
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