Are you able to try a recent version of spark? On Wed, Aug 29, 2018 at 2:10 AM, Guillermo Ortiz Fernández <guillermo.ortiz.f...@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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