org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, bio-x-3): java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN ...........

GitHub | BioDCH | 3 months ago
  1. 0

    GitHub comment 825#252825829

    GitHub | 3 months ago | BioDCH
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, bio-x-3): java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN ...........
  2. 0

    java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN

    GitHub | 3 months ago | BioDCH
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, bio-x-3): java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN ...........
  3. 0

    Spark UDF exception when accessing broadcast variable

    Stack Overflow | 12 months ago | Cheeko
    org.apache.spark.SparkException: Task not serializable
  4. Speed up your debug routine!

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  5. 0
    samebug tip
    Compile your code with scala version 2.10.x instead of 2.11.x
  6. 0

    lookup value in a map inside a udf

    Stack Overflow | 2 months ago | Mike
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 257, hdpintdn13.visibleworld.com): java.lang.NullPointerException

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    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, bio-x-3): java.io.IOException: The file being written is in an invalid state. Probably caused by an error thrown previously. Current state: COLUMN ...........

      at org.apache.spark.deploy.SparkSubmit.main()
    2. Spark
      SparkSubmit.main
      1. org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
      1 frame