Nandor Kollar created PIG-5181:
----------------------------------
Summary: 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
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}
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