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https://issues.apache.org/jira/browse/SPARK-21172?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16326122#comment-16326122
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Fernando Pereira commented on SPARK-21172:
------------------------------------------
With my previous small dataset I was able to make it run by changing the number
of partitions (spark.sql.shuffle.partitions) to something more standard.
However, now with a 200GB dataset, there isn't a setting that can make it work.
I always get the problem sooner of later, sometimes when more than 1000
partitions have been processed.
I really believe that, by the fact that by we can help it by tuning config
values, we should have some bug in the shuffling read which doesn't handle all
corner cases.
> EOFException reached end of stream in UnsafeRowSerializer
> ---------------------------------------------------------
>
> Key: SPARK-21172
> URL: https://issues.apache.org/jira/browse/SPARK-21172
> Project: Spark
> Issue Type: Bug
> Components: Shuffle
> Affects Versions: 2.0.1
> Reporter: liupengcheng
> Priority: Major
> Labels: shuffle
>
> Spark sql job failed because of the following Exception. Seems like a bug in
> shuffle stage.
> Shuffle read size for single task is tens of GB
> {code}
> org.apache.spark.SparkException: Task failed while writing rows
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:264)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at
> org.apache.spark.sql.execution.datasources.InsertIntoHadoopFsRelationCommand$$anonfun$run$1$$anonfun$apply$mcV$sp$1.apply(InsertIntoHadoopFsRelationCommand.scala:143)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:70)
> at org.apache.spark.scheduler.Task.run(Task.scala:86)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:274)
> at
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> at java.lang.Thread.run(Thread.java:745)
> Caused by: java.io.EOFException: reached end of stream after reading 9034374
> bytes; 1684891936 bytes expected
> at
> org.spark_project.guava.io.ByteStreams.readFully(ByteStreams.java:735)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:127)
> at
> org.apache.spark.sql.execution.UnsafeRowSerializerInstance$$anon$3$$anon$1.next(UnsafeRowSerializer.scala:110)
> at scala.collection.Iterator$$anon$12.next(Iterator.scala:444)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at
> org.apache.spark.util.CompletionIterator.next(CompletionIterator.scala:30)
> at
> org.apache.spark.InterruptibleIterator.next(InterruptibleIterator.scala:43)
> at scala.collection.Iterator$$anon$11.next(Iterator.scala:409)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply$mcV$sp(WriterContainer.scala:255)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:253)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer$$anonfun$writeRows$1.apply(WriterContainer.scala:253)
> at
> org.apache.spark.util.Utils$.tryWithSafeFinallyAndFailureCallbacks(Utils.scala:1345)
> at
> org.apache.spark.sql.execution.datasources.DefaultWriterContainer.writeRows(WriterContainer.scala:259)
> ... 8 more
> {code}
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