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https://issues.apache.org/jira/browse/SPARK-17850?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Sean Owen updated SPARK-17850:
------------------------------
    Target Version/s: 1.6.3, 2.0.2, 2.1.0

> HadoopRDD should not swallow EOFException
> -----------------------------------------
>
>                 Key: SPARK-17850
>                 URL: https://issues.apache.org/jira/browse/SPARK-17850
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 1.4.1, 1.5.2, 1.6.2, 2.0.1
>            Reporter: Shixiong Zhu
>              Labels: correctness
>             Fix For: 2.0.2, 2.1.0
>
>
> 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:
> {code}
> 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)
> {code}
> 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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