org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13.0 (TID 16, localhost): java.lang.NullPointerException: Value at index 1 in null

Stack Overflow | ShenbagaKumar | 10 months ago
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  1. 0

    Pyspark BinaryClassficationMetrics areaUnderROC

    Stack Overflow | 10 months ago | ShenbagaKumar
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13.0 (TID 16, localhost): java.lang.NullPointerException: Value at index 1 in null
  2. 0

    Spark Ml Evaluation method

    Stack Overflow | 6 months ago | Baktaawar
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 2 in stage 1505.0 failed 1 times, most recent failure: Lost task 2.0 in stage 1505.0 (TID 9224, localhost): java.lang.NullPointerException: Value at index 1 in null
  3. 0

    "Value at index 1 in null" in Apache Spark MulticlassMetrics.precision()

    Stack Overflow | 1 year ago | John Chrysostom
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 5 in stage 135.0 failed 1 times, most recent failure: Lost task 5.0 in stage 135.0 (TID 7806, localhost): java.lang.NullPointerException: Value at index 1 in null
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  5. 0

    RE: Not Serializable exception when integrating SQL and Spark Streaming

    apache.org | 2 years ago
    org.apache.spark.SparkException: Task not serializable at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166) at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:158) at org.apache.spark.SparkContext.clean(SparkContext.scala:1435) at org.apache.spark.rdd.RDD.map(RDD.scala:271) at org.apache.spark.api.java.JavaRDDLike$class.map(JavaRDDLike.scala:78) at org.apache.spark.sql.api.java.JavaSchemaRDD.map(JavaSchemaRDD.scala:42) at com.basic.spark.NumberCount$2.call(NumberCount.java:79) at com.basic.spark.NumberCount$2.call(NumberCount.java:67) at org.apache.spark.streaming.api.java.JavaDStreamLike$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:274) at org.apache.spark.streaming.api.java.JavaDStreamLike$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:274) at org.apache.spark.streaming.dstream.DStream$anonfun$foreachRDD$1.apply(DStream.scala:529) at org.apache.spark.streaming.dstream.DStream$anonfun$foreachRDD$1.apply(DStream.scala:529) at org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply$mcV$sp(ForEachDStream.scala:42) at org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply(ForEachDStream.scala:40) at org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply(ForEachDStream.scala:40) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.Job.run(Job.scala:32) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:171) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
  6. 0

    RE: Not Serializable exception when integrating SQL and Spark Streaming

    apache.org | 1 year ago
    org.apache.spark.SparkException: Task not serializable at org.apache.spark.util.ClosureCleaner$.ensureSerializable(ClosureCleaner.scala:166) at org.apache.spark.util.ClosureCleaner$.clean(ClosureCleaner.scala:158) at org.apache.spark.SparkContext.clean(SparkContext.scala:1435) at org.apache.spark.rdd.RDD.map(RDD.scala:271) at org.apache.spark.api.java.JavaRDDLike$class.map(JavaRDDLike.scala:78) at org.apache.spark.sql.api.java.JavaSchemaRDD.map(JavaSchemaRDD.scala:42) at com.basic.spark.NumberCount$2.call(NumberCount.java:79) at com.basic.spark.NumberCount$2.call(NumberCount.java:67) at org.apache.spark.streaming.api.java.JavaDStreamLike$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:274) at org.apache.spark.streaming.api.java.JavaDStreamLike$anonfun$foreachRDD$1.apply(JavaDStreamLike.scala:274) at org.apache.spark.streaming.dstream.DStream$anonfun$foreachRDD$1.apply(DStream.scala:529) at org.apache.spark.streaming.dstream.DStream$anonfun$foreachRDD$1.apply(DStream.scala:529) at org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply$mcV$sp(ForEachDStream.scala:42) at org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply(ForEachDStream.scala:40) at org.apache.spark.streaming.dstream.ForEachDStream$anonfun$1.apply(ForEachDStream.scala:40) at scala.util.Try$.apply(Try.scala:161) at org.apache.spark.streaming.scheduler.Job.run(Job.scala:32) at org.apache.spark.streaming.scheduler.JobScheduler$JobHandler.run(JobScheduler.scala:171) at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)

    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 0 in stage 13.0 failed 1 times, most recent failure: Lost task 0.0 in stage 13.0 (TID 16, localhost): java.lang.NullPointerException: Value at index 1 in null

      at org.apache.spark.sql.Row$class.getAnyValAs()
    2. Spark Project SQL
      Row$class.getDouble
      1. org.apache.spark.sql.Row$class.getAnyValAs(Row.scala:475)
      2. org.apache.spark.sql.Row$class.getDouble(Row.scala:243)
      2 frames
    3. Spark Project Catalyst
      GenericRow.getDouble
      1. org.apache.spark.sql.catalyst.expressions.GenericRow.getDouble(rows.scala:192)
      1 frame
    4. Spark Project ML Library
      BinaryClassificationMetrics$$anonfun$$init$$1.apply
      1. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics$$anonfun$$init$$1.apply(BinaryClassificationMetrics.scala:61)
      2. org.apache.spark.mllib.evaluation.BinaryClassificationMetrics$$anonfun$$init$$1.apply(BinaryClassificationMetrics.scala:61)
      2 frames
    5. Scala
      Iterator$$anon$11.next
      1. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      1 frame
    6. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:191)
      2. org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64)
      3. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
      4. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
      5. org.apache.spark.scheduler.Task.run(Task.scala:89)
      6. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      6 frames
    7. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames