scheduler.TaskSetManager: Lost task 18.0 in stage 0.0 (TID 4, [REDACTED]): java.lang.NullPointerException

GitHub | liangzhaozeng | 4 months ago
  1. 0

    java.lang.NullPointerException in com.databricks.spark.avro.DefaultSource

    GitHub | 4 months ago | liangzhaozeng
    scheduler.TaskSetManager: Lost task 18.0 in stage 0.0 (TID 4, [REDACTED]): java.lang.NullPointerException
  2. 0

    Null pointer : with Streaming RDD to Spark SQL Data frame conversion

    Stack Overflow | 10 months ago | New coder
    scheduler.TaskSetManager: Lost task 0.0 in stage 5.0 (TID 4, xrdcldbda010001.unix.medcity.net): java.lang.NullPointerException
  3. 0

    HiveContext causes a NullPointer on spark

    Stack Overflow | 3 months ago | gloopy-rocket
    scheduler.TaskSetManager: Lost task 0.0 in stage 1.0 (TID 1, localhost): java.lang.NullPointerException
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  5. 0

    NullPointerException thrown in where it can't be thrown

    Stack Overflow | 1 year ago | Jack
    scheduler.TaskSetManager: Lost task 0.0 in stage 7.0 (TID 17162, host13): java.lang.NullPointerException
  6. 0

    GitHub comment 15#195071586

    GitHub | 9 months ago | charles2588
    scheduler.TaskSetManager: Lost task 0.0 in stage 2.0 (TID 2, localhost): java.lang.NullPointerException

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    Root Cause Analysis

    1. scheduler.TaskSetManager

      Lost task 18.0 in stage 0.0 (TID 4, [REDACTED]): java.lang.NullPointerException

      at com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply()
    2. com.databricks.spark
      DefaultSource$$anonfun$buildReader$1.apply
      1. com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply(DefaultSource.scala:151)
      2. com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply(DefaultSource.scala:143)
      2 frames
    3. org.apache.spark
      FileScanRDD$$anon$1.hasNext
      1. org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:279)
      2. org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:263)
      3. org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:116)
      4. org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
      4 frames
    4. Spark Project Catalyst
      GeneratedClass$GeneratedIterator.processNext
      1. org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
      1 frame
    5. Spark Project SQL
      WholeStageCodegenExec$$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$$anon$1.hasNext(WholeStageCodegenExec.scala:370)
      2 frames
    6. Scala
      Iterator$$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$$anon$11.hasNext(Iterator.scala:408)
      3 frames
    7. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.util.Utils$.getIteratorSize(Utils.scala:1682)
      2. org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1115)
      3. org.apache.spark.rdd.RDD$$anonfun$count$1.apply(RDD.scala:1115)
      4. org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897)
      5. org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1897)
      6. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
      7. org.apache.spark.scheduler.Task.run(Task.scala:85)
      8. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      8 frames
    8. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames