org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#12

amazon.com | 3 months ago
  1. 0

    AWS Developer Forums: Error in shuffle reducer ...

    amazon.com | 3 months ago
    org.apache.hadoop.mapred.YarnChild: Exception running child : org.apache.hadoop.mapreduce.task.reduce.Shuffle$ShuffleError: error in shuffle in fetcher#12
  2. 0

    error in shuffle in fetcher#1 Hadoop error

    Stack Overflow | 2 years ago | shepherd
    java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
  3. 0

    error in reducer function of hadoop multi node cluster

    Stack Overflow | 5 years ago | the new in area
    java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 0

    Pig job always fails

    Stack Overflow | 2 years ago | Kumar
    java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.
  6. 0

    Yarn MapReduce Job stuck at Reduce phase

    Stack Overflow | 2 years ago
    java.io.IOException: Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.

    1 unregistered visitors
    Not finding the right solution?
    Take a tour to get the most out of Samebug.

    Tired of useless tips?

    Automated exception search integrated into your IDE

    Root Cause Analysis

    1. java.io.IOException

      Exceeded MAX_FAILED_UNIQUE_FETCHES; bailing-out.

      at org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth()
    2. Hadoop
      Fetcher.run
      1. org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.checkReducerHealth(ShuffleSchedulerImpl.java:366)
      2. org.apache.hadoop.mapreduce.task.reduce.ShuffleSchedulerImpl.copyFailed(ShuffleSchedulerImpl.java:288)
      3. org.apache.hadoop.mapreduce.task.reduce.Fetcher.openShuffleUrl(Fetcher.java:282)
      4. org.apache.hadoop.mapreduce.task.reduce.Fetcher.copyFromHost(Fetcher.java:323)
      5. org.apache.hadoop.mapreduce.task.reduce.Fetcher.run(Fetcher.java:193)
      5 frames