org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 52.0 failed 1 times, most recent failure: Lost task 0.0 in stage 52.0 (TID 40, localhost): java.lang.ArrayIndexOutOfBoundsException Driver stacktrace:

Stack Overflow | pseudocode | 6 months ago
tip
Your exception is missing from the Samebug knowledge base.
Here are the best solutions we found on the Internet.
Click on the to mark the helpful solution and get rewards for you help.
  1. 0

    pyspark java.lang.ArrayIndexOutOfBoundsException after dropna()

    Stack Overflow | 6 months ago | pseudocode
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 52.0 failed 1 times, most recent failure: Lost task 0.0 in stage 52.0 (TID 40, localhost): java.lang.ArrayIndexOutOfBoundsException Driver stacktrace:
  2. 0

    Apache Spark User List - Apache Spark: Uncaught exception in thread driver-heartbeater

    nabble.com | 1 year ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 193.0 failed 1 times, most recent failure: Lost task 4.0 in stage 193.0 (TID 7688, localhost): ExecutorLostFailure (executor driver lost)^M     Driver stacktrace:
  3. 0

    Apache Spark: Uncaught exception in thread driver-heartbeater

    Stack Overflow | 1 year ago | rakesh
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 4 in stage 193.0 failed 1 times, most recent failure: Lost task 4.0 in stage 193.0 (TID 7688, localhost): ExecutorLostFailure (executor driver lost)^M Driver stacktrace:^M
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 0

    an error on Mesos

    GitHub | 9 months ago | jsongcse
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, hkcloud-node1): ExecutorLostFailure (executor 753a7274-173a-41bf-b800-0345adc29be0-S0 exited caused by one of the running tasks) Reason: Remote RPC client disassociated. Likely due to containers exceeding thresholds, or network issues. Check driver logs for WARN messages. Driver stacktrace:
  6. 0

    SparkException: ExecutorLostFailure (executor driver lost) | Active Intelligence

    activeintelligence.org | 2 months ago
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 3343 in stage 33.0 failed 1 times, most recent failure: Lost task 3343.0 in stage 33.0 (TID 147765, localhost): ExecutorLostFailure (executor driver lost) Driver stacktrace:

  1. tyson925 1 times, last 2 months ago
  2. Nikolay Rybak 1 times, last 5 months ago
  3. johnxfly 1 times, last 1 week ago
  4. meneal 1 times, last 8 months ago
20 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. org.apache.spark.SparkException

    Job aborted due to stage failure: Task 0 in stage 52.0 failed 1 times, most recent failure: Lost task 0.0 in stage 52.0 (TID 40, localhost): java.lang.ArrayIndexOutOfBoundsException Driver stacktrace:

    at org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages()
  2. Spark
    DAGScheduler$$anonfun$abortStage$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.org$apache$spark$scheduler$DAGScheduler$$failJobAndIndependentStages(DAGScheduler.scala:1280)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1268)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$abortStage$1.apply(DAGScheduler.scala:1267)
    3 frames
  3. Scala
    ArrayBuffer.foreach
    1. scala.collection.mutable.ResizableArray$class.foreach(ResizableArray.scala:59)
    2. scala.collection.mutable.ArrayBuffer.foreach(ArrayBuffer.scala:47)
    2 frames
  4. Spark
    DAGScheduler$$anonfun$handleTaskSetFailed$1.apply
    1. org.apache.spark.scheduler.DAGScheduler.abortStage(DAGScheduler.scala:1267)
    2. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
    3. org.apache.spark.scheduler.DAGScheduler$$anonfun$handleTaskSetFailed$1.apply(DAGScheduler.scala:697)
    3 frames
  5. Scala
    Option.foreach
    1. scala.Option.foreach(Option.scala:236)
    1 frame
  6. Spark
    RDD.collect
    1. org.apache.spark.scheduler.DAGScheduler.handleTaskSetFailed(DAGScheduler.scala:697)
    2. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.doOnReceive(DAGScheduler.scala:1493)
    3. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1455)
    4. org.apache.spark.scheduler.DAGSchedulerEventProcessLoop.onReceive(DAGScheduler.scala:1444)
    5. org.apache.spark.util.EventLoop$$anon$1.run(EventLoop.scala:48)
    6. org.apache.spark.scheduler.DAGScheduler.runJob(DAGScheduler.scala:567)
    7. org.apache.spark.SparkContext.runJob(SparkContext.scala:1813)
    8. org.apache.spark.SparkContext.runJob(SparkContext.scala:1826)
    9. org.apache.spark.SparkContext.runJob(SparkContext.scala:1839)
    10. org.apache.spark.SparkContext.runJob(SparkContext.scala:1910)
    11. org.apache.spark.rdd.RDD$$anonfun$collect$1.apply(RDD.scala:905)
    12. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:147)
    13. org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:108)
    14. org.apache.spark.rdd.RDD.withScope(RDD.scala:306)
    15. org.apache.spark.rdd.RDD.collect(RDD.scala:904)
    15 frames
  7. Spark Project SQL
    DataFrame.count
    1. org.apache.spark.sql.execution.SparkPlan.executeCollect(SparkPlan.scala:177)
    2. org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386)
    3. org.apache.spark.sql.DataFrame$$anonfun$collect$1.apply(DataFrame.scala:1386)
    4. org.apache.spark.sql.execution.SQLExecution$.withNewExecutionId(SQLExecution.scala:56)
    5. org.apache.spark.sql.DataFrame.withNewExecutionId(DataFrame.scala:1904)
    6. org.apache.spark.sql.DataFrame.collect(DataFrame.scala:1385)
    7. org.apache.spark.sql.DataFrame.count(DataFrame.scala:1403)
    7 frames
  8. Java RT
    Method.invoke
    1. sun.reflect.GeneratedMethodAccessor90.invoke(Unknown Source)
    2. sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    3. java.lang.reflect.Method.invoke(Method.java:498)
    3 frames
  9. Py4J
    GatewayConnection.run
    1. py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:231)
    2. py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:379)
    3. py4j.Gateway.invoke(Gateway.java:259)
    4. py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:133)
    5. py4j.commands.CallCommand.execute(CallCommand.java:79)
    6. py4j.GatewayConnection.run(GatewayConnection.java:207)
    6 frames
  10. Java RT
    Thread.run
    1. java.lang.Thread.run(Thread.java:745)
    1 frame