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

Stack Overflow | user6638138 | 3 months ago
  1. 0

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

    Stack Overflow | 3 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
  2. 0

    GitHub comment 290#194620283

    GitHub | 9 months ago | amitmohanty
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 2.0 failed 4 times, most recent failure: Lost task 0.3 in stage 2.0 (TID 5, hpce3r05n25.hpc.hello-there.com): java.text.ParseException: Unparseable number: "null"
  3. 0

    custom partitioner in apache spark

    Stack Overflow | 10 months ago | qed
    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 192, localhost): java.lang.NullPointerException
  4. Speed up your debug routine!

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  5. 0

    Load spark-csv from Rstudio under Windows environment

    Stack Overflow | 7 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
  6. 0

    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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    Root Cause Analysis

    1. 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

      at java.text.DecimalFormat.parse()
    2. Java RT
      NumberFormat.parse
      1. java.text.DecimalFormat.parse(DecimalFormat.java:1997)
      2. java.text.NumberFormat.parse(NumberFormat.java:383)
      2 frames
    3. org.apache.spark
      CSVTypeCast$$anonfun$castTo$4.apply
      1. org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$$anonfun$castTo$4.apply$mcD$sp(CSVInferSchema.scala:270)
      2. org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$$anonfun$castTo$4.apply(CSVInferSchema.scala:270)
      3. org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$$anonfun$castTo$4.apply(CSVInferSchema.scala:270)
      3 frames
    4. Scala
      Try.getOrElse
      1. scala.util.Try.getOrElse(Try.scala:79)
      1 frame
    5. org.apache.spark
      CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$1.apply
      1. org.apache.spark.sql.execution.datasources.csv.CSVTypeCast$.castTo(CSVInferSchema.scala:270)
      2. org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:115)
      3. org.apache.spark.sql.execution.datasources.csv.CSVRelation$$anonfun$csvParser$3.apply(CSVRelation.scala:84)
      4. org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$1.apply(CSVFileFormat.scala:125)
      5. org.apache.spark.sql.execution.datasources.csv.CSVFileFormat$$anonfun$buildReader$1$$anonfun$apply$1.apply(CSVFileFormat.scala:124)
      5 frames
    6. Scala
      Iterator$$anon$11.hasNext
      1. scala.collection.Iterator$$anon$12.nextCur(Iterator.scala:434)
      2. scala.collection.Iterator$$anon$12.hasNext(Iterator.scala:440)
      3. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
      3 frames
    7. org.apache.spark
      FileScanRDD$$anon$1.hasNext
      1. org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
      1 frame
    8. Spark Project Catalyst
      GeneratedClass$GeneratedIterator.processNext
      1. org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithKeys$(Unknown Source)
      2. org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
      2 frames
    9. 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
    10. Scala
      Iterator$$anon$11.hasNext
      1. scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
      1 frame
    11. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:125)
      2. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
      3. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
      4. org.apache.spark.scheduler.Task.run(Task.scala:85)
      5. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      5 frames
    12. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames