org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in stage 1.0 (TID 7, heracles): java.lang.NullPointerException

GitHub | guchensmile | 9 months ago
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  1. 0

    GitHub comment 67#230696197

    GitHub | 9 months ago | guchensmile
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 1 in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in stage 1.0 (TID 7, heracles): java.lang.NullPointerException
  2. 0

    GitHub comment 67#220185630

    GitHub | 10 months ago | syuquad
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 4 times, most recent failure: Lost task 0.3 in stage 1.0 (TID 8, ip-10-30-15-17.us-west-2.compute.internal): java.lang.NullPointerException
  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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  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)

    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 1 in stage 1.0 failed 4 times, most recent failure: Lost task 1.3 in stage 1.0 (TID 7, heracles): java.lang.NullPointerException

      at com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$train$1.apply$mcVI$sp()
    2. com.yahoo.ml
      CaffeOnSpark$$anonfun$train$1.apply
      1. com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$train$1.apply$mcVI$sp(CaffeOnSpark.scala:153)
      2. com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$train$1.apply(CaffeOnSpark.scala:149)
      3. com.yahoo.ml.caffe.CaffeOnSpark$$anonfun$train$1.apply(CaffeOnSpark.scala:149)
      3 frames
    3. Scala
      AbstractIterator.toArray
      1. scala.collection.Iterator$$anon$11.next(Iterator.scala:328)
      2. scala.collection.Iterator$class.foreach(Iterator.scala:727)
      3. scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
      4. scala.collection.generic.Growable$class.$plus$plus$eq(Growable.scala:48)
      5. scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:103)
      6. scala.collection.mutable.ArrayBuffer.$plus$plus$eq(ArrayBuffer.scala:47)
      7. scala.collection.TraversableOnce$class.to(TraversableOnce.scala:273)
      8. scala.collection.AbstractIterator.to(Iterator.scala:1157)
      9. scala.collection.TraversableOnce$class.toBuffer(TraversableOnce.scala:265)
      10. scala.collection.AbstractIterator.toBuffer(Iterator.scala:1157)
      11. scala.collection.TraversableOnce$class.toArray(TraversableOnce.scala:252)
      12. scala.collection.AbstractIterator.toArray(Iterator.scala:1157)
      12 frames
    4. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927)
      2. org.apache.spark.rdd.RDD$$anonfun$collect$1$$anonfun$12.apply(RDD.scala:927)
      3. org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
      4. org.apache.spark.SparkContext$$anonfun$runJob$5.apply(SparkContext.scala:1858)
      5. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      6. org.apache.spark.scheduler.Task.run(Task.scala:89)
      7. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:213)
      7 frames
    5. 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