org.apache.spark.SparkException: Job aborted due to stage failure: Task 10 in stage 6.0 failed 4 times, most recent failure: Lost task 10.3 in stage 6.0 (TID 101, 159.84.139.247): java.io.StreamCorruptedException: invalid stream header: 12018301

Stack Overflow | XY.W | 6 months ago
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  1. 1

    pyspark, looking for the maximal in a large RDD?

    Stack Overflow | 6 months ago | XY.W
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 10 in stage 6.0 failed 4 times, most recent failure: Lost task 10.3 in stage 6.0 (TID 101, 159.84.139.247): java.io.StreamCorruptedException: invalid stream header: 12018301
  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)
  4. Speed up your debug routine!

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    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 10 in stage 6.0 failed 4 times, most recent failure: Lost task 10.3 in stage 6.0 (TID 101, 159.84.139.247): java.io.StreamCorruptedException: invalid stream header: 12018301

      at java.io.ObjectInputStream.readStreamHeader()
    2. Java RT
      ObjectInputStream.<init>
      1. java.io.ObjectInputStream.readStreamHeader(ObjectInputStream.java:804)
      2. java.io.ObjectInputStream.<init>(ObjectInputStream.java:299)
      2 frames
    3. Spark
      BlockManager$$anonfun$getRemoteValues$1.apply
      1. org.apache.spark.serializer.JavaDeserializationStream$$anon$1.<init>(JavaSerializer.scala:63)
      2. org.apache.spark.serializer.JavaDeserializationStream.<init>(JavaSerializer.scala:63)
      3. org.apache.spark.serializer.JavaSerializerInstance.deserializeStream(JavaSerializer.scala:122)
      4. org.apache.spark.serializer.SerializerManager.dataDeserializeStream(SerializerManager.scala:146)
      5. org.apache.spark.storage.BlockManager$$anonfun$getRemoteValues$1.apply(BlockManager.scala:524)
      6. org.apache.spark.storage.BlockManager$$anonfun$getRemoteValues$1.apply(BlockManager.scala:522)
      6 frames
    4. Scala
      Option.map
      1. scala.Option.map(Option.scala:146)
      1 frame
    5. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.storage.BlockManager.getRemoteValues(BlockManager.scala:522)
      2. org.apache.spark.storage.BlockManager.get(BlockManager.scala:609)
      3. org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:661)
      4. org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:330)
      5. org.apache.spark.rdd.RDD.iterator(RDD.scala:281)
      6. org.apache.spark.api.python.PythonRDD.compute(PythonRDD.scala:63)
      7. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      8. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      9. org.apache.spark.api.python.PairwiseRDD.compute(PythonRDD.scala:390)
      10. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      11. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      12. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
      13. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
      14. org.apache.spark.scheduler.Task.run(Task.scala:85)
      15. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      15 frames
    6. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames