org.apache.spark.SparkException: Error receiving data from RabbitMQ with error: charsetName

GitHub | louishigher | 4 months ago
  1. 0

    org.apache.spark.SparkException: Error receiving data from RabbitMQ with error: charsetName

    GitHub | 4 months ago | louishigher
    org.apache.spark.SparkException: Error receiving data from RabbitMQ with error: charsetName
  2. 0

    Solved: Spark 1.3.0 on Cloudera 5.4 fails on loading data ... - Cloudera Community

    cloudera.com | 7 months ago
    org.apache.spark.SparkException: Error communicating with MapOutputTracker
  3. 0

    Apache Spark not loading runtime environment config, fails to submit job

    Stack Overflow | 7 months ago | crockpotveggies
    org.apache.spark.SparkException: Error communicating with MapOutputTracker
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  5. 0

    Spark: Error communicating with MapOutputTracker

    Stack Overflow | 1 year ago | Daniel Langdon
    org.apache.spark.SparkException: Error communicating with MapOutputTracker
  6. 0

    Worker: Executor ... finished with state FAILED message Command exited with code 1 exitStatus 1

    spark-user | 3 years ago | Hussam_Jarada@Dell.com
    org.apache.spark.SparkException: Job failed: Error: Disconnected from Spark cluster

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    Root Cause Analysis

    1. org.apache.spark.SparkException

      Error receiving data from RabbitMQ with error: charsetName

      at org.apache.spark.streaming.rabbitmq.distributed.RabbitMQRDD$RabbitMQRDDIterator.getNext()
    2. org.apache.spark
      RabbitMQRDD$RabbitMQRDDIterator.getNext
      1. org.apache.spark.streaming.rabbitmq.distributed.RabbitMQRDD$RabbitMQRDDIterator.getNext(RabbitMQRDD.scala:207)
      1 frame
    3. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.util.NextIterator.hasNext(NextIterator.scala:73)
      2. org.apache.spark.storage.MemoryStore.unrollSafely(MemoryStore.scala:277)
      3. org.apache.spark.CacheManager.putInBlockManager(CacheManager.scala:171)
      4. org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:78)
      5. org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
      6. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      7. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      8. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      9. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      10. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      11. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      12. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      13. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      14. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      15. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      16. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      17. org.apache.spark.CacheManager.getOrCompute(CacheManager.scala:69)
      18. org.apache.spark.rdd.RDD.iterator(RDD.scala:262)
      19. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      20. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      21. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      22. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      23. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:300)
      24. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      25. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      26. org.apache.spark.scheduler.Task.run(Task.scala:88)
      27. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      27 frames
    4. Java RT
      ThreadPoolExecutor$Worker.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      2 frames