scheduler.TaskSetManager: Lost task 0.0 in stage 8.0 (TID 16, hadoop5.lavastorm.com): org.apache.spark.SparkException: Task failed while writing rows.

Stack Overflow | awilliams1024 | 3 months ago
  1. 0

    Submit sparkR job to remote cluster - Task failed while writing rows

    Stack Overflow | 3 months ago | awilliams1024
    scheduler.TaskSetManager: Lost task 0.0 in stage 8.0 (TID 16, hadoop5.lavastorm.com): org.apache.spark.SparkException: Task failed while writing rows.
  2. 0

    [jira] [Commented] (SPARK-13581) LibSVM throws MatchError

    spark-issues | 9 months ago | Jeff Zhang (JIRA)
    scala.MatchError: 1.0 (of class java.lang.Double)
  3. 0

    [jira] [Commented] (SPARK-13581) LibSVM throws MatchError

    spark-issues | 9 months ago | Jakob Odersky (JIRA)
    scala.MatchError: 1.0 (of class java.lang.Double)
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  5. 0

    [jira] [Updated] (SPARK-13581) LibSVM throws MatchError

    spark-issues | 9 months ago | Jakob Odersky (JIRA)
    scala.MatchError: 1.0 (of class java.lang.Double)
  6. 0

    "scala.MatchError" on Cypher CREATE query

    Stack Overflow | 2 years ago
    scala.MatchError: (default,null) (of class scala.Tuple2)

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    Root Cause Analysis

    1. scala.MatchError

      [1,null,null,[2.62]] (of class org.apache.spark.sql.catalyst.expressions.GenericMutableRow)

      at org.apache.spark.mllib.linalg.VectorUDT.serialize()
    2. Spark Project ML Library
      VectorUDT.serialize
      1. org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:194)
      2. org.apache.spark.mllib.linalg.VectorUDT.serialize(Vectors.scala:179)
      2 frames
    3. org.apache.spark
      InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply
      1. org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:103)
      2. org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89)
      3. org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:126)
      4. org.apache.spark.sql.execution.datasources.json.JacksonGenerator$$anonfun$org$apache$spark$sql$execution$datasources$json$JacksonGenerator$$valWriter$2$1.apply(JacksonGenerator.scala:89)
      5. org.apache.spark.sql.execution.datasources.json.JacksonGenerator$.apply(JacksonGenerator.scala:133)
      6. org.apache.spark.sql.execution.datasources.json.JsonOutputWriter.writeInternal(JSONRelation.scala:185)
      7. org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:243)
      8. org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
      9. org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelation$$anonfun$run$1$$anonfun$apply$mcV$sp$3.apply(InsertIntoHadoopFsRelation.scala:150)
      9 frames
    4. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:66)
      2. org.apache.spark.scheduler.Task.run(Task.scala:88)
      3. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      3 frames
    5. Java RT
      Thread.run
      1. java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
      2. java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
      3. java.lang.Thread.run(Thread.java:745)
      3 frames