org.apache.spark.SparkException: Job aborted due to stage failure: Task 22 in stage 1.0 failed 4 times, most recent failure: Lost task 22.3 in stage 1.0 (TID 77, ip-172-31-97-24.us-west-2.compute.internal): java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE

Stack Overflow | clay | 7 months ago
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  1. 0

    Spark. ~100 million rows. Size exceeds Integer.MAX_VALUE?

    Stack Overflow | 7 months ago | clay
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 22 in stage 1.0 failed 4 times, most recent failure: Lost task 22.3 in stage 1.0 (TID 77, ip-172-31-97-24.us-west-2.compute.internal): java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
  2. 0

    java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE

    GitHub | 9 months ago | abhaymise
    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 8, slave2-172-31-47-102): java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
  3. 0

    Spark Java Error: Size exceeds Integer.MAX_VALUE

    Stack Overflow | 2 years ago | peng
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 4.0 failed 4 times, most recent failure: Lost task 1.3 in stage 4.0 (TID 9, workernode0.sparkexperience4a7.d5.internal.cloudapp.net): java.lang.RuntimeException: java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE
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  5. 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)
  6. 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)

    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 22 in stage 1.0 failed 4 times, most recent failure: Lost task 22.3 in stage 1.0 (TID 77, ip-172-31-97-24.us-west-2.compute.internal): java.lang.IllegalArgumentException: Size exceeds Integer.MAX_VALUE

      at sun.nio.ch.FileChannelImpl.map()
    2. Java RT
      FileChannelImpl.map
      1. sun.nio.ch.FileChannelImpl.map(FileChannelImpl.java:869)
      1 frame
    3. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.storage.DiskStore$$anonfun$getBytes$2.apply(DiskStore.scala:103)
      2. org.apache.spark.storage.DiskStore$$anonfun$getBytes$2.apply(DiskStore.scala:91)
      3. org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1287)
      4. org.apache.spark.storage.DiskStore.getBytes(DiskStore.scala:105)
      5. org.apache.spark.storage.BlockManager.getLocalValues(BlockManager.scala:439)
      6. org.apache.spark.storage.BlockManager.get(BlockManager.scala:604)
      7. org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:661)
      8. org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:330)
      9. org.apache.spark.rdd.RDD.iterator(RDD.scala:281)
      10. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      11. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      12. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      13. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      14. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      15. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      16. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      17. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      18. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      19. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
      20. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
      21. org.apache.spark.scheduler.Task.run(Task.scala:85)
      22. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      22 frames
    4. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames