org.apache.spark.shuffle.FetchFailedException: Direct buffer memory

spark-issues | Hong Shen (JIRA) | 9 months ago
  1. 0

    [jira] [Updated] (SPARK-13510) Shuffle may throw FetchFailedException: Direct buffer memory

    spark-issues | 9 months ago | Hong Shen (JIRA)
    org.apache.spark.shuffle.FetchFailedException: Direct buffer memory
  2. 0

    Pyspark failed to connect to executor

    Stack Overflow | 11 months ago | shad
    org.apache.spark.shuffle.FetchFailedException: Failed to connect to <executor>
  3. 0

    How does Spark deal with big dataset join

    Stack Overflow | 6 months ago | Jack
    org.apache.spark.shuffle.FetchFailedException: Failed to connect to /10.5.1.14:37408
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  5. 0

    FetchFailedException: org.apache.spark.shuffle.FetchFailedException: /mnt/dump/ ... with WARNING :No enough memory for aggregation

    Stack Overflow | 4 weeks ago | skumar
    org.apache.spark.shuffle.FetchFailedException: /mnt/dump/spark-bed4eae2-9529-4206-9dce-6135206eab02/executor-2e0183fe-f151-4c67-8e2b-d050df8dd07a/blockmgr-1bdd7187-c4e2-4895-ba6a-31fe02045e8d/2f/shuffle_24_3_0.index (No such file or directory)
  6. 0

    UR template train error - stage 14

    Google Groups | 6 months ago | Unknown author
    org.apache.spark.shuffle.FetchFailedException: Failed to connect to sparkmaster.profession.hu/172.31.3.141:61901

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    Root Cause Analysis

    1. org.apache.spark.shuffle.FetchFailedException

      Direct buffer memory

      at org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException()
    2. Spark
      ShuffleBlockFetcherIterator.next
      1. org.apache.spark.storage.ShuffleBlockFetcherIterator.throwFetchFailedException(ShuffleBlockFetcherIterator.scala:323)
      2. org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:300)
      3. org.apache.spark.storage.ShuffleBlockFetcherIterator.next(ShuffleBlockFetcherIterator.scala:51)
      3 frames
    3. Scala
      Iterator$$anon$11.hasNext
      1. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      2. scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
      3. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      3 frames
    4. Spark
      InterruptibleIterator.hasNext
      1. org.apache.spark.util.CompletionIterator.hasNext(CompletionIterator.scala:32)
      2. org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:39)
      2 frames
    5. Scala
      Iterator$$anon$11.hasNext
      1. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
      1 frame
    6. Spark Project SQL
      Sort$$anonfun$1.apply
      1. org.apache.spark.sql.execution.UnsafeExternalRowSorter.sort(UnsafeExternalRowSorter.java:167)
      2. org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:90)
      3. org.apache.spark.sql.execution.Sort$$anonfun$1.apply(Sort.scala:64)
      3 frames
    7. Spark
      RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply
      1. org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:759)
      2. org.apache.spark.rdd.RDD$$anonfun$mapPartitionsInternal$1$$anonfun$apply$21.apply(RDD.scala:759)
      2 frames