org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13.0 failed 4 times, most recent failure: Lost task 0.3 in stage 13.0 (TID 31, ip-172-31-30-113.ec2.internal): scala.MatchError: <!-- 1 Beefy Fritos Bur --> (of class com.sun.xml.internal.stream.events.CommentEvent)

GitHub | metador | 8 months ago
tip
Click on the to mark the solution that helps you, Samebug will learn from it.
As a community member, you’ll be rewarded for you help.
  1. 0

    Fails on some comments with Scala: MatchError

    GitHub | 8 months ago | metador
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 13.0 failed 4 times, most recent failure: Lost task 0.3 in stage 13.0 (TID 31, ip-172-31-30-113.ec2.internal): scala.MatchError: <!-- 1 Beefy Fritos Bur --> (of class com.sun.xml.internal.stream.events.CommentEvent)
  2. 0

    SparkSQL with databricks xml lib: 'Malformed row'/UnboundPrefix on a valid xml

    Stack Overflow | 1 year ago | alreadyexists
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 1.0 failed 1 times, most recent failure: Lost task 0.0 in stage 1.0 (TID 1, localhost): java.lang.RuntimeException: Malformed row (failing fast): <Topic r:id=""> <catid>1</catid> </Topic>
  3. 0

    Incomplete values for some tags

    GitHub | 1 year ago | humanzz
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 0 in stage 4.0 failed 1 times, most recent failure: Lost task 0.0 in stage 4.0 (TID 4, localhost): scala.MatchError: ENDDOCUMENT (of class com.sun.xml.internal.stream.events.EndDocumentEvent)
  4. Speed up your debug routine!

    Automated exception search integrated into your IDE

  5. 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)
  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 0 in stage 13.0 failed 4 times, most recent failure: Lost task 0.3 in stage 13.0 (TID 31, ip-172-31-30-113.ec2.internal): scala.MatchError: <!-- 1 Beefy Fritos Bur --> (of class com.sun.xml.internal.stream.events.CommentEvent)

      at com.databricks.spark.xml.util.InferSchema$.inferField()
    2. com.databricks.spark
      InferSchema$$anonfun$3$$anonfun$apply$2.apply
      1. com.databricks.spark.xml.util.InferSchema$.inferField(InferSchema.scala:134)
      2. com.databricks.spark.xml.util.InferSchema$.com$databricks$spark$xml$util$InferSchema$$inferObject(InferSchema.scala:171)
      3. com.databricks.spark.xml.util.InferSchema$.inferField(InferSchema.scala:135)
      4. com.databricks.spark.xml.util.InferSchema$.com$databricks$spark$xml$util$InferSchema$$inferObject(InferSchema.scala:171)
      5. com.databricks.spark.xml.util.InferSchema$$anonfun$3$$anonfun$apply$2.apply(InferSchema.scala:94)
      6. com.databricks.spark.xml.util.InferSchema$$anonfun$3$$anonfun$apply$2.apply(InferSchema.scala:83)
      6 frames
    3. Scala
      AbstractIterator.aggregate
      1. scala.collection.Iterator$$anon$13.hasNext(Iterator.scala:371)
      2. scala.collection.Iterator$class.foreach(Iterator.scala:727)
      3. scala.collection.AbstractIterator.foreach(Iterator.scala:1157)
      4. scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:144)
      5. scala.collection.AbstractIterator.foldLeft(Iterator.scala:1157)
      6. scala.collection.TraversableOnce$class.aggregate(TraversableOnce.scala:201)
      7. scala.collection.AbstractIterator.aggregate(Iterator.scala:1157)
      7 frames
    4. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$23.apply(RDD.scala:1135)
      2. org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$23.apply(RDD.scala:1135)
      3. org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$24.apply(RDD.scala:1136)
      4. org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1$$anonfun$24.apply(RDD.scala:1136)
      5. org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
      6. org.apache.spark.rdd.RDD$$anonfun$mapPartitions$1$$anonfun$apply$20.apply(RDD.scala:710)
      7. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      8. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      9. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      10. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      11. org.apache.spark.scheduler.Task.run(Task.scala:89)
      12. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      12 frames
    5. 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