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

Stack Overflow | D.Asare | 2 months ago
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    Spark Mongo Hadoop Connector not mapping data

    Stack Overflow | 2 months ago | D.Asare
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NullPointerException
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    Load spark-csv from Rstudio under Windows environment

    Stack Overflow | 8 months ago | Hao WU
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NullPointerException
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    When ever i am trying load CSV package spark dont work, it gives Invoke java error Sys.setenv('SPARKR_SUBMIT_ARGS'='"--packages" "com.databricks:spark-csv_2.10:1.2.0" "sparkr-shell"') > Sys.setenv(SPARK_MEM="1g") > sc <- sparkR.init(master = "local") Launching java with spark-submit command C:/spark/bin/spark-submit.cmd "--packages" "com.databricks:spark-csv_2.10:1.2.0" "sparkr-shell" C:\Users\shahch07\AppData\Local\Temp\RtmpigvXMn\backend_port98840b15c5a > sqlContext <- sparkRSQL.init(sc) > DF <- createDataFrame(sqlContext, faithful) Error in invokeJava(isStatic = FALSE, objId$id, methodName, ...) : org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NullPointerException at java.lang.ProcessBuilder.start(ProcessBuilder.java:1012) at org.apache.hadoop.util.Shell.runCommand(Shell.java:482) at org.apache.hadoop.util.Shell.run(Shell.java:455) at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:715) at org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:873) at org.apache.hadoop.fs.FileUtil.chmod(FileUtil.java:853) at org.apache.spark.util.Utils$.fetchFile(Utils.scala:381) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:405) at org.apache.spark.executor.Executor$$anonfun$org$apache$spark$executor$Executor$$updateDependencies$5.apply(Executor.scala:397) at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLi

    Apache's JIRA Issue Tracker | 11 months ago | chintan
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NullPointerException
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    Spark streaming does not work on local, but works on standalone cluster

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

    [jira] [Resolved] (SPARK-4785) When called with arguments referring column fields, PMOD throws NPE

    spark-issues | 2 years ago | Michael Armbrust (JIRA)
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): 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 0.0 failed 1 times, most recent failure: Lost task 0.0 in stage 0.0 (TID 0, localhost): java.lang.NullPointerException

      at com.hbfinance.DataframeExample$1.call()
    2. com.hbfinance
      DataframeExample$1.call
      1. com.hbfinance.DataframeExample$1.call(DataframeExample.java:64)
      2. com.hbfinance.DataframeExample$1.call(DataframeExample.java:57)
      2 frames
    3. Spark
      JavaPairRDD$$anonfun$toScalaFunction$1.apply
      1. org.apache.spark.api.java.JavaPairRDD$$anonfun$toScalaFunction$1.apply(JavaPairRDD.scala:1027)
      1 frame
    4. Scala
      Iterator$$anon$11.next
      1. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      2. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      3. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      3 frames
    5. org.apache.spark
      TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply
      1. org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.processInputs(TungstenAggregationIterator.scala:372)
      2. org.apache.spark.sql.execution.aggregate.TungstenAggregationIterator.start(TungstenAggregationIterator.scala:622)
      3. org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1.org$apache$spark$sql$execution$aggregate$TungstenAggregate$$anonfun$$executePartition$1(TungstenAggregate.scala:110)
      4. org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119)
      5. org.apache.spark.sql.execution.aggregate.TungstenAggregate$$anonfun$doExecute$1$$anonfun$2.apply(TungstenAggregate.scala:119)
      5 frames
    6. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.MapPartitionsWithPreparationRDD.compute(MapPartitionsWithPreparationRDD.scala:64)
      2. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
      3. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      4. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      5. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:297)
      6. org.apache.spark.rdd.RDD.iterator(RDD.scala:264)
      7. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
      8. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
      9. org.apache.spark.scheduler.Task.run(Task.scala:88)
      10. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      10 frames
    7. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames