java.lang.IllegalStateException: close() was called on BatchedWriteAheadLog before write request with time 1467910380055 could be fulfilled.

amazon.com | 3 weeks ago
  1. 0

    AWS Developer Forums: Unable to stop Spark 1.5.2 Streaming ...

    amazon.com | 3 weeks ago
    java.lang.IllegalStateException: close() was called on BatchedWriteAheadLog before write request with time 1467910380055 could be fulfilled.
  2. 0

    AWS Developer Forums: Unable to stop Spark 1.5.2 Streaming ...

    amazon.com | 3 weeks ago
    java.lang.IllegalStateException: close() was called on BatchedWriteAheadLog before write request with time 1467910380000 could be fulfilled.
  3. 0

    AWS Developer Forums: Unable to stop Spark 1.5.2 Streaming ...

    amazon.com | 3 weeks ago
    java.lang.IllegalStateException: close() was called on BatchedWriteAheadLog before write request with time 1467910440000 could be fulfilled.
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  5. 0

    Togglz filter IllegalStateException

    Google Groups | 3 years ago | Marcin Grzejszczak
    java.lang.IllegalStateException: HttpServletRequestHolder.bind() called for a thread that already has a request associated with it. It's likely that the request was not correctly removed from the thread before it is put back into the thread pool.****
  6. 0

    Togglz filter IllegalStateException

    Google Groups | 3 years ago | Marcin Grzejszczak
    java.lang.IllegalStateException: HttpServletRequestHolder.bind() called for a thread that already has a request associated with it. It's likely that the request was not correctly removed from the thread before it is put back into the thread pool.

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    Root Cause Analysis

    1. java.lang.IllegalStateException

      close() was called on BatchedWriteAheadLog before write request with time 1467910380055 could be fulfilled.

      at org.apache.spark.streaming.util.BatchedWriteAheadLog.write()
    2. Spark Project Streaming
      JobGenerator$$anon$1.onReceive
      1. org.apache.spark.streaming.util.BatchedWriteAheadLog.write(BatchedWriteAheadLog.scala:83)
      2. org.apache.spark.streaming.scheduler.ReceivedBlockTracker.writeToLog(ReceivedBlockTracker.scala:232)
      3. org.apache.spark.streaming.scheduler.ReceivedBlockTracker.cleanupOldBatches(ReceivedBlockTracker.scala:169)
      4. org.apache.spark.streaming.scheduler.ReceiverTracker.cleanupOldBlocksAndBatches(ReceiverTracker.scala:223)
      5. org.apache.spark.streaming.scheduler.JobGenerator.clearCheckpointData(JobGenerator.scala:285)
      6. org.apache.spark.streaming.scheduler.JobGenerator.org$apache$spark$streaming$scheduler$JobGenerator$$processEvent(JobGenerator.scala:185)
      7. org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:87)
      8. org.apache.spark.streaming.scheduler.JobGenerator$$anon$1.onReceive(JobGenerator.scala:86)
      8 frames
    3. Spark
      EventLoop$$anon$1.run
      1. org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
      1 frame