org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 63.0 failed 1 times, most recent failure: Lost task 0.0 in stage 63.0 (TID 59, localhost): org.apache.spark.SparkException: Failed to execute user defined function($anonfun$4: (string) => double)

Stack Overflow | Baktaawar | 1 month ago
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  1. 0
    samebug tip
    You should use java.sql.Timestamp or Date to map BsonDateTime from mongodb.
  2. 0
    samebug tip
    Compile your code with scala version 2.10.x instead of 2.11.x
  3. 0

    [jira] [Commented] (SPARK-13581) LibSVM throws MatchError

    spark-issues | 1 year ago | Jeff Zhang (JIRA)
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 5.0 failed 1 times, most recent failure: Lost task 0.0 in stage 5.0 (TID 5, localhost): scala.MatchError: 0.0 (of class java.lang.Double)
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  5. 0

    spark2.0 java.lang.NullPointerException at java.text.DecimalFormat.parse(DecimalFormat.java:1997)

    Stack Overflow | 7 months ago | user6638138
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 49.0 failed 1 times, most recent failure: Lost task 0.0 in stage 49.0 (TID 69, localhost): java.lang.NullPointerException
  6. 0

    [SNAP-1066] NULL value is not correctly parsed while using spark csv option for loading the csv data into temporary staging table - JIRA

    snappydata.io | 2 months ago
    com.pivotal.gemfirexd.internal.engine.jdbc.GemFireXDRuntimeException: myID: 192.168.1.164(1334)<v3>:27797, caused by org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 246.0 failed 4 times, most recent failure: Lost task 0.3 in stage 246.0 (TID 419, 192.168.1.164): java.lang.IllegalArgumentException
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Root Cause Analysis

  1. org.apache.spark.SparkException

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    at org.apache.spark.ml.feature.StringIndexerModel$$anonfun$4.apply()
  2. Spark Project ML Library
    StringIndexerModel$$anonfun$4.apply
    1. org.apache.spark.ml.feature.StringIndexerModel$$anonfun$4.apply(StringIndexer.scala:170)
    2. org.apache.spark.ml.feature.StringIndexerModel$$anonfun$4.apply(StringIndexer.scala:166)
    2 frames
  3. Spark Project Catalyst
    GeneratedClass$GeneratedIterator.processNext
    1. org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
    1 frame
  4. Spark Project SQL
    WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext
    1. org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
    2. org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
    2 frames
  5. Scala
    Iterator$$anon$11.hasNext
    1. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    2. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    3. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    4. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    5. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    6. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
    6 frames
  6. Spark
    Executor$TaskRunner.run
    1. org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:192)
    2. org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:63)
    3. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
    4. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
    5. org.apache.spark.scheduler.Task.run(Task.scala:86)
    6. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
    6 frames
  7. Java RT
    Thread.run
    1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    3. java.lang.Thread.run(Thread.java:745)
    3 frames