java.lang.IllegalStateException: No current assignment for partition ABTest-0

Stack Overflow | Vico_Wu | 2 months ago
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  1. 0

    Kafka Spark Stream throws Exception:No current assignment for partition

    Stack Overflow | 2 months ago | Vico_Wu
    java.lang.IllegalStateException: No current assignment for partition ABTest-0
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    Stack Overflow | 2 months ago | Chris
    org.apache.kafka.clients.consumer.CommitFailedException: Commit cannot be completed since the group has already rebalanced and assigned the partitions to another member. This means that the time between subsequent calls to poll() was longer than the configured session.timeout.ms, which typically implies that the poll loop is spending too much time message processing. You can address this either by increasing the session timeout or by reducing the maximum size of batches returned in poll() with max.poll.records.
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    Stack Overflow | 1 year ago | sai kumar
    java.lang.NoSuchMethodError: org.apache.spark.streaming.kafka.DirectKafkaInputDStream.id()I ache.spark.streaming.kafka.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:165)at org.ap at ache.spark.streaming.kafka.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:165)at org.ap at org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:300)
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    Spark Streaming + kafka "JobGenerator" java.lang.NoSuchMethodError

    Stack Overflow | 1 year ago | Charles Jacquet
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    Spark Streaming negative numRecords error

    Stack Overflow | 3 months ago | Haseeb Javed
    java.lang.IllegalArgumentException: requirement failed: numRecords must not be negative

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    Root Cause Analysis

    1. java.lang.IllegalStateException

      No current assignment for partition ABTest-0

      at org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState()
    2. org.apache.kafka
      SubscriptionState.needOffsetReset
      1. org.apache.kafka.clients.consumer.internals.SubscriptionState.assignedState(SubscriptionState.java:231)
      2. org.apache.kafka.clients.consumer.internals.SubscriptionState.needOffsetReset(SubscriptionState.java:295)
      2 frames
    3. Apache Kafka
      KafkaConsumer.seekToEnd
      1. org.apache.kafka.clients.consumer.KafkaConsumer.seekToEnd(KafkaConsumer.java:1169)
      1 frame
    4. org.apache.spark
      DirectKafkaInputDStream.compute
      1. org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.latestOffsets(DirectKafkaInputDStream.scala:179)
      2. org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.compute(DirectKafkaInputDStream.scala:196)
      2 frames
    5. Spark Project Streaming
      DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply
      1. org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
      2. org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1$$anonfun$apply$7.apply(DStream.scala:341)
      2 frames
    6. Scala
      DynamicVariable.withValue
      1. scala.util.DynamicVariable.withValue(DynamicVariable.scala:58)
      1 frame
    7. Spark Project Streaming
      DStream$$anonfun$getOrCompute$1.apply
      1. org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
      2. org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1$$anonfun$1.apply(DStream.scala:340)
      3. org.apache.spark.streaming.dstream.DStream.createRDDWithLocalProperties(DStream.scala:415)
      4. org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:335)
      5. org.apache.spark.streaming.dstream.DStream$$anonfun$getOrCompute$1.apply(DStream.scala:333)
      5 frames
    8. Scala
      Option.orElse
      1. scala.Option.orElse(Option.scala:289)
      1 frame
    9. Spark Project Streaming
      DStreamGraph$$anonfun$1.apply
      1. org.apache.spark.streaming.dstream.DStream.getOrCompute(DStream.scala:330)
      2. org.apache.spark.streaming.dstream.ForEachDStream.generateJob(ForEachDStream.scala:48)
      3. org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:117)
      4. org.apache.spark.streaming.DStreamGraph$$anonfun$1.apply(DStreamGraph.scala:116)
      4 frames
    10. Scala
      AbstractTraversable.flatMap
      1. scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
      2. scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
      3. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
      4. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:48)
      5. scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
      6. scala.collection.AbstractTraversable.flatMap(Traversable.scala:104)
      6 frames
    11. Spark Project Streaming
      JobGenerator$$anonfun$3.apply
      1. org.apache.spark.streaming.DStreamGraph.generateJobs(DStreamGraph.scala:116)
      2. org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:248)
      3. org.apache.spark.streaming.scheduler.JobGenerator$$anonfun$3.apply(JobGenerator.scala:246)
      3 frames
    12. Scala
      Try$.apply
      1. scala.util.Try$.apply(Try.scala:192)
      1 frame
    13. Spark Project Streaming
      JobGenerator$$anon$1.onReceive
      1. org.apache.spark.streaming.scheduler.JobGenerator.generateJobs(JobGenerator.scala:246)
      2. org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:182)
      3. org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:88)
      4. org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:87)
      4 frames
    14. Spark
      EventLoop$$anon$1.run
      1. org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
      1 frame