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From Cody Koeninger <c...@koeninger.org>
Subject Re: Spark Streaming - Kafka. java.lang.IllegalStateException: This consumer has already been closed.
Date Thu, 30 Aug 2018 19:00:05 GMT
You're using an older version of spark, with what looks like a
manually included different version of the kafka-clients jar (1.0)
than what that version of the spark connector was written to depend on
(0.10.0.1), so there's no telling what's going on.

On Wed, Aug 29, 2018 at 3:40 PM, Guillermo Ortiz Fernández
<guillermo.ortiz.fdez@gmail.com> wrote:
> I can't... do you think that it's a possible bug of this version?? from
> Spark or Kafka?
>
> El mié., 29 ago. 2018 a las 22:28, Cody Koeninger (<cody@koeninger.org>)
> escribió:
>>
>> Are you able to try a recent version of spark?
>>
>> On Wed, Aug 29, 2018 at 2:10 AM, Guillermo Ortiz Fernández
>> <guillermo.ortiz.fdez@gmail.com> wrote:
>> > I'm using Spark Streaming 2.0.1 with Kafka 0.10, sometimes I get this
>> > exception and Spark dies.
>> >
>> > I couldn't see any error or problem among the machines, anybody has the
>> > reason about this error?
>> >
>> >
>> > java.lang.IllegalStateException: This consumer has already been closed.
>> >     at
>> >
>> > org.apache.kafka.clients.consumer.KafkaConsumer.acquireAndEnsureOpen(KafkaConsumer.java:1787)
>> > ~[kafka-clients-1.0.0.jar:na]
>> >     at
>> >
>> > org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1091)
>> > ~[kafka-clients-1.0.0.jar:na]
>> >     at
>> >
>> > org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.paranoidPoll(DirectKafkaInputDStream.scala:169)
>> > ~[spark-streaming-kafka-0-10_2.11-2.0.2.jar:2.0.2]
>> >     at
>> >
>> > org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.latestOffsets(DirectKafkaInputDStream.scala:188)
>> > ~[spark-streaming-kafka-0-10_2.11-2.0.2.jar:2.0.2]
>> >     at
>> >
>> > org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:215)
>> > ~[spark-streaming-kafka-0-10_2.11-2.0.2.jar:2.0.2]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:335)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:333)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at scala.Option.orElse(Option.scala:289)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:330)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:48)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:117)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:116)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> > scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> > scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:116)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:249)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:247)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at scala.util.Try$.apply(Try.scala:192)
>> > ~[scala-library-2.11.11.jar:na]
>> >     at
>> >
>> > org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:247)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:183)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:89)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at
>> >
>> > org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:88)
>> > ~[spark-streaming_2.11-2.0.2.15.jar:2.0.2.15]
>> >     at org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
>> > ~[spark-core_2.11-2.0.2.15.jar:2.0.2.15]
>>
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