org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, ip-10-0-11-60.ec2.internal): java.lang.NullPointerException

GitHub | joerwin | 11 months ago
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  1. 0

    Null pointer getting count from avro file in mesos distributed

    GitHub | 11 months ago | joerwin
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 0.0 failed 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, ip-10-0-11-60.ec2.internal): java.lang.NullPointerException
  2. 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)
  3. 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)
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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 4 times, most recent failure: Lost task 0.3 in stage 0.0 (TID 3, ip-10-0-11-60.ec2.internal): java.lang.NullPointerException

      at org.apache.hadoop.fs.FileSystem.get()
    2. Hadoop
      Path.getFileSystem
      1. org.apache.hadoop.fs.FileSystem.get(FileSystem.java:367)
      2. org.apache.hadoop.fs.Path.getFileSystem(Path.java:295)
      2 frames
    3. Apache Avro Mapred API
      FsInput.<init>
      1. org.apache.avro.mapred.FsInput.<init>(FsInput.java:37)
      1 frame
    4. com.databricks.spark
      DefaultSource$$anonfun$buildReader$1.apply
      1. com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply(DefaultSource.scala:146)
      2. com.databricks.spark.avro.DefaultSource$$anonfun$buildReader$1.apply(DefaultSource.scala:143)
      2 frames
    5. org.apache.spark
      FileScanRDD$$anon$1.hasNext
      1. org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:278)
      2. org.apache.spark.sql.execution.datasources.FileFormat$$anon$1.apply(fileSourceInterfaces.scala:262)
      3. org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:114)
      4. org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:91)
      4 frames
    6. Spark Project Catalyst
      GeneratedClass$GeneratedIterator.processNext
      1. org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
      1 frame
    7. Spark Project SQL
      WholeStageCodegenExec$$anonfun$7$$anon$1.hasNext
      1. org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
      2. org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$7$$anon$1.hasNext(WholeStageCodegenExec.scala:357)
      2 frames
    8. org.apache.spark
      MemoryStore.putIteratorAsValues
      1. org.apache.spark.sql.execution.columnar.InMemoryRelation$$anonfun$3$$anon$1.hasNext(InMemoryTableScanExec.scala:178)
      2. org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:213)
      2 frames
    9. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:911)
      2. org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:902)
      3. org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:858)
      4. org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:902)
      5. org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:660)
      6. org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:329)
      7. org.apache.spark.rdd.RDD.iterator(RDD.scala:280)
      8. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      9. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
      10. org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
      11. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      12. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
      13. org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
      14. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      15. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:318)
      16. org.apache.spark.rdd.RDD.iterator(RDD.scala:282)
      17. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
      18. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
      19. org.apache.spark.scheduler.Task.run(Task.scala:85)
      20. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      20 frames
    10. 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