[
https://issues.apache.org/jira/browse/PIG-5181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15906850#comment-15906850
]
liyunzhang_intel commented on PIG-5181:
---------------------------------------
[~nkollar]: Yes you can create a temp folder to copy files there to avoid there
is already a same file when we trigger this kind of case.
> JobManagement_3 is failing with spark exec type
> -----------------------------------------------
>
> Key: PIG-5181
> URL: https://issues.apache.org/jira/browse/PIG-5181
> Project: Pig
> Issue Type: Sub-task
> Components: spark
> Reporter: Nandor Kollar
> Assignee: Nandor Kollar
> Fix For: spark-branch
>
> Attachments: PIG-5181_1.patch
>
>
> Task failed on executor node:
> {code}
> java.lang.RuntimeException: Error while processing 'perl PigStreaming.pl - -
> nameMap
> (stdin-org.apache.pig.builtin.PigStreaming/stdout-org.apache.pig.builtin.PigStreaming)'
> failed with exit status: 2
> at
> org.apache.pig.backend.hadoop.executionengine.spark.converter.OutputConsumerIterator.readNext(OutputConsumerIterator.java:85)
> at
> org.apache.pig.backend.hadoop.executionengine.spark.converter.OutputConsumerIterator.hasNext(OutputConsumerIterator.java:96)
> at
> scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> scala.collection.convert.Wrappers$IteratorWrapper.hasNext(Wrappers.scala:29)
> at
> org.apache.pig.backend.hadoop.executionengine.spark.converter.OutputConsumerIterator.readNext(OutputConsumerIterator.java:57)
> at
> org.apache.pig.backend.hadoop.executionengine.spark.converter.OutputConsumerIterator.hasNext(OutputConsumerIterator.java:96)
> at
> scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:41)
> at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:327)
> at
> org.apache.spark.util.collection.ExternalSorter.insertAll(ExternalSorter.scala:192)
> at
> org.apache.spark.shuffle.sort.SortShuffleWriter.write(SortShuffleWriter.scala:64)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:73)
> at
> org.apache.spark.scheduler.ShuffleMapTask.runTask(ShuffleMapTask.scala:41)
> at org.apache.spark.scheduler.Task.run(Task.scala:89)
> at
> org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:242)
> 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)
> {code}
> It seems that in SparkLauncher the cached file is copied from the file system
> to a temporary file (which case is the original file name + some random
> string)
> {code}
> File tmpFile = File.createTempFile(fileName, ".tmp");
> {code}
> and this file is added to SparkContext. It is added with the name of the temp
> file. This is a problem, since this cached file can't be used with the
> original name, like in JobManagement_3:
> {code}
> define CMD `perl PigStreaming.pl - - nameMap`
> ship(':SCRIPTHOMEPATH:/PigStreaming.pl')
> cache(':INPATH:/nameMap/part-00000#nameMap');
> {code}
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
