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  1. Spark
  2. SPARK-17850

HadoopRDD should not swallow EOFException

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    Details

    • Type: Bug
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 1.4.1, 1.5.2, 1.6.2, 2.0.1
    • Fix Version/s: 2.1.0
    • Component/s: Spark Core
    • Labels:
    • Target Version/s:

      Description

      The code in https://github.com/apache/spark/blob/2bcd5d5ce3eaf0eb1600a12a2b55ddb40927533b/core/src/main/scala/org/apache/spark/rdd/HadoopRDD.scala#L256 catches EOFException and mark RecordReader finished. However, in some cases, RecordReader will throw EOFException to indicate the stream is corrupted. See the following stack trace as an example:

      Caused by: java.io.EOFException: Unexpected end of input stream
        at org.apache.hadoop.io.compress.DecompressorStream.decompress(DecompressorStream.java:145)
        at org.apache.hadoop.io.compress.DecompressorStream.read(DecompressorStream.java:85)
        at java.io.InputStream.read(InputStream.java:101)
        at org.apache.hadoop.util.LineReader.readDefaultLine(LineReader.java:211)
        at org.apache.hadoop.util.LineReader.readLine(LineReader.java:174)
        at org.apache.hadoop.mapreduce.lib.input.LineRecordReader.nextKeyValue(LineRecordReader.java:164)
        at org.apache.spark.sql.execution.datasources.RecordReaderIterator.hasNext(RecordReaderIterator.scala:39)
        at org.apache.spark.sql.execution.datasources.HadoopFileLinesReader.hasNext(HadoopFileLinesReader.scala:50)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97)
        at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.nextIterator(FileScanRDD.scala:134)
        at org.apache.spark.sql.execution.datasources.FileScanRDD$$anon$1.hasNext(FileScanRDD.scala:97)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.agg_doAggregateWithoutKey$(Unknown Source)
        at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIterator.processNext(Unknown Source)
        at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
        at org.apache.spark.sql.execution.WholeStageCodegenExec$$anonfun$8$$anon$1.hasNext(WholeStageCodegenExec.scala:372)
        at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:408)
        at org.apache.spark.shuffle.sort.BypassMergeSortShuffleWriter.write(BypassMergeSortShuffleWriter.java:126)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:96)
        at org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:53)
        at org.apache.spark.scheduler.Task.run(Task.scala:99)
        at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:282)
        at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
        at java.lang.Thread.run(Thread.java:745)
      

      Then HadoopRDD doesn't fail the job when files are corrupted (e.g., corrupted gzip files).

      Note: NewHadoopRDD doesn't have this issue.

      This is reported by Bilal Aslam.

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              • Assignee:
                zsxwing Shixiong Zhu
                Reporter:
                zsxwing Shixiong Zhu
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                • Created:
                  Updated:
                  Resolved: