org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in stage 0.0 failed 4 times, most recent failure: Lost task 7.3 in stage 0.0 (TID 16, spark04): java.io.FileNotFoundException: File file:/home/file/new/ALL.adam/part-r-00227.gz.parquet does not exist

GitHub | car2008 | 9 months ago
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  1. 0

    spark-submit throw exception in spark-standalone using .adam which transformed from .vcf

    GitHub | 9 months ago | car2008
    org.apache.spark.SparkException: Job aborted due to stage failure: Task 7 in stage 0.0 failed 4 times, most recent failure: Lost task 7.3 in stage 0.0 (TID 16, spark04): java.io.FileNotFoundException: File file:/home/file/new/ALL.adam/part-r-00227.gz.parquet does not exist
  2. 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)
  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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    Root Cause Analysis

    1. org.apache.spark.SparkException

      Job aborted due to stage failure: Task 7 in stage 0.0 failed 4 times, most recent failure: Lost task 7.3 in stage 0.0 (TID 16, spark04): java.io.FileNotFoundException: File file:/home/file/new/ALL.adam/part-r-00227.gz.parquet does not exist

      at org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus()
    2. Hadoop
      FilterFileSystem.getFileStatus
      1. org.apache.hadoop.fs.RawLocalFileSystem.deprecatedGetFileStatus(RawLocalFileSystem.java:534)
      2. org.apache.hadoop.fs.RawLocalFileSystem.getFileLinkStatusInternal(RawLocalFileSystem.java:747)
      3. org.apache.hadoop.fs.RawLocalFileSystem.getFileStatus(RawLocalFileSystem.java:524)
      4. org.apache.hadoop.fs.FilterFileSystem.getFileStatus(FilterFileSystem.java:409)
      4 frames
    3. Parquet
      ParquetRecordReader.initialize
      1. parquet.hadoop.ParquetFileReader.readFooter(ParquetFileReader.java:385)
      2. parquet.hadoop.ParquetRecordReader.initializeInternalReader(ParquetRecordReader.java:157)
      3. parquet.hadoop.ParquetRecordReader.initialize(ParquetRecordReader.java:140)
      3 frames
    4. Spark
      Executor$TaskRunner.run
      1. org.apache.spark.rdd.NewHadoopRDD$$anon$1.<init>(NewHadoopRDD.scala:158)
      2. org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:129)
      3. org.apache.spark.rdd.NewHadoopRDD.compute(NewHadoopRDD.scala:64)
      4. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      5. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      6. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      7. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      8. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      9. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      10. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      11. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      12. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      13. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      14. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      15. org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:38)
      16. org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:306)
      17. org.apache.spark.rdd.RDD.iterator(RDD.scala:270)
      18. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
      19. org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
      20. org.apache.spark.scheduler.Task.run(Task.scala:89)
      21. org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:214)
      21 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