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.io.IOException: Failed to transform the record start=0 length=38

talendforge.org | 4 months ago
  1. 0

    Data Mapping: XML to CSV with tHMapFile throws SAXParseException (Page 1) / Data Integration on Subscription - Configuration, usage and feedback / Talend Community Forum

    talendforge.org | 4 months ago
    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.io.IOException: Failed to transform the record start=0 length=38
  2. 0

    GitHub comment 93#237154478

    GitHub | 4 months ago | chrimiway
    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.ArrayIndexOutOfBoundsException: 0
  3. 0

    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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  5. 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
  6. 0

    Tests fail on GeForce GTX 680 with CUDA_ERROR_NO_BINARY_FOR_GPU

    GitHub | 3 months ago | TPolzer
    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): jcuda.CudaException: CUDA_ERROR_NO_BINARY_FOR_GPU

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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.io.IOException: Failed to transform the record start=0 length=38

      at org.talend.transform.dataflow.spark.AbstractDataTransformation.transformRecord()
    2. org.talend.transform
      AbstractDataTransformation.call
      1. org.talend.transform.dataflow.spark.AbstractDataTransformation.transformRecord(AbstractDataTransformation.java:62)
      2. org.talend.transform.dataflow.spark.AbstractDataTransformation.call(AbstractDataTransformation.java:72)
      3. org.talend.transform.dataflow.spark.AbstractDataTransformation.call(AbstractDataTransformation.java:31)
      3 frames
    3. Spark
      JavaRDDLike$$anonfun$fn$3$1.apply
      1. org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$3$1.apply(JavaRDDLike.scala:149)
      2. org.apache.spark.api.java.JavaRDDLike$$anonfun$fn$3$1.apply(JavaRDDLike.scala:149)
      2 frames
    4. Scala
      Iterator$$anon$13.hasNext
      1. scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
      1 frame
    5. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply$mcV$sp(PairRDDFunctions.scala:1197)
      2. org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply(PairRDDFunctions.scala:1197)
      3. org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13$$anonfun$apply$6.apply(PairRDDFunctions.scala:1197)
      4. org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1250)
      5. org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1205)
      6. org.apache.spark.rdd.PairRDDFunctions$$anonfun$saveAsHadoopDataset$1$$anonfun$13.apply(PairRDDFunctions.scala:1185)
      7. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      8. org.apache.spark.scheduler.Task.run(Task.scala:89)
      9. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
      9 frames
    6. 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