org.apache.spark.SparkException: Job aborted due to stage failure: Task 19 in stage 188.0 failed 4 times, most recent failure: Lost task 19.3 in stage 188.0 (TID 375286, rs119.hadoop.pvt): scala.MatchError: [25,1.0,(5,[1],[1.0])] (of class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema)

tip
Do you know that we can give you better hits? Get more relevant results from Samebug’s stack trace search.
  1. 0

    Simple PySpark regression fails because of scala.MatchError on Spark 2.0?

    Stack Overflow | 6 months ago | Patrick McCarthy
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 19 in stage 188.0 failed 4 times, most recent failure: Lost task 19.3 in stage 188.0 (TID 375286, rs119.hadoop.pvt): scala.MatchError: [25,1.0,(5,[1],[1.0])] (of class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema)
  2. 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)
  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!

    Automated exception search integrated into your IDE

    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 19 in stage 188.0 failed 4 times, most recent failure: Lost task 19.3 in stage 188.0 (TID 375286, rs119.hadoop.pvt): scala.MatchError: [25,1.0,(5,[1],[1.0])] (of class org.apache.spark.sql.catalyst.expressions.GenericRowWithSchema)

      at org.apache.spark.ml.regression.LinearRegression$$anonfun$5.apply()
    2. org.apache.spark
      LinearRegression$$anonfun$5.apply
      1. org.apache.spark.ml.regression.LinearRegression$$anonfun$5.apply(LinearRegression.scala:200)
      2. org.apache.spark.ml.regression.LinearRegression$$anonfun$5.apply(LinearRegression.scala:200)
      2 frames
    3. Scala
      Iterator$$anon$11.next
      1. scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
      1 frame
    4. org.apache.spark
      MemoryStore.putIteratorAsValues
      1. org.apache.spark.storage.memory.MemoryStore.putIteratorAsValues(MemoryStore.scala:214)
      1 frame
    5. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:919)
      2. org.apache.spark.storage.BlockManager$$anonfun$doPutIterator$1.apply(BlockManager.scala:910)
      3. org.apache.spark.storage.BlockManager.doPut(BlockManager.scala:866)
      4. org.apache.spark.storage.BlockManager.doPutIterator(BlockManager.scala:910)
      5. org.apache.spark.storage.BlockManager.getOrElseUpdate(BlockManager.scala:668)
      6. org.apache.spark.rdd.RDD.getOrCompute(RDD.scala:330)
      7. org.apache.spark.rdd.RDD.iterator(RDD.scala:281)
      8. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      9. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      10. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      11. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      12. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:319)
      13. org.apache.spark.rdd.RDD.iterator(RDD.scala:283)
      14. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:79)
      15. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:47)
      16. org.apache.spark.scheduler.Task.run(Task.scala:85)
      17. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
      17 frames
    6. 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