[ 
https://issues.apache.org/jira/browse/SPARK-21172?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16836901#comment-16836901
 ] 

Lasantha Fernando commented on SPARK-21172:
-------------------------------------------

Encountered similar kind of issues in 2.2.2 as well. When tracking down the 
JIRAs and possible fixes, encountered SPARK-24809 which seemed like a possible 
scenario where such kind of errors can occur. Therefore I applied only the fix 
provided in the Jira, after which I did not encounter any of the errors 
mentioned above. 

 

So it seems this was a long standing bug that was tracked down and fixed by 
[~liutang123]. Many thanks to [~liutang123] for tracking down and fixing this 
long standing bug!

 

[~liupengcheng] Shall we update the labels properly, do some additional 
verification and close this bug report?

 

> 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}



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

Reply via email to