You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Joe Mudd (JIRA)" <ji...@apache.org> on 2016/01/08 13:21:39 UTC
[jira] [Commented] (SPARK-5435) saveAsNewAPIHadoopDataset is not
setting up the local configuration
[ https://issues.apache.org/jira/browse/SPARK-5435?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15089131#comment-15089131 ]
Joe Mudd commented on SPARK-5435:
---------------------------------
I looked at the Hive 1.2.1 FileOutputFormatContainer implementation and it still references org.apache.hadoop.mapred.FileOutputFormat.getUniqueName(). I'm not sure if this is a required interop issue inherent to MapReduce. Or, just the Hive folks being a bit slow to remove their MRv1 references.
> saveAsNewAPIHadoopDataset is not setting up the local configuration
> -------------------------------------------------------------------
>
> Key: SPARK-5435
> URL: https://issues.apache.org/jira/browse/SPARK-5435
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 1.2.0
> Environment: Cloudera 5.3.0
> Reporter: Joe Mudd
>
> The HCatOutputFormat utilizes FileOutpuFormatContainer which refers to the MRv1 FileOutputFormat.getUniqueName() method. Since the local configuration has not been set up, getUniqueName() ends up throwing an IllegalArgumentException.
> It appears the saveAsNewAPIHadoopDataset().writeshard method needs to record Job information in the local Hadoop configuration similar to HadoopRDD.addLocalConfiguration(). In a test build, I ended up setting both the MRv1 and MRv2 names since just having the MRv2 names did not work.
> Here's the traceback:
> java.lang.IllegalArgumentException: This method can only be called from within a Job
> at org.apache.hadoop.mapred.FileOutputFormat.getUniqueName(FileOutputFormat.java:286)
> at org.apache.hive.hcatalog.mapreduce.FileOutputFormatContainer.getRecordWriter(FileOutputFormatContainer.java:101)
> at org.apache.hive.hcatalog.mapreduce.HCatOutputFormat.getRecordWriter(HCatOutputFormat.java:260)
> at org.apache.spark.rdd.PairRDDFunctions$$anonfun$12.apply(PairRDDFunctions.scala:984)
> at org.apache.spark.rdd.PairRDDFunctions$$anonfun$12.apply(PairRDDFunctions.scala:965)
> at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:61)
> at org.apache.spark.scheduler.Task.run(Task.scala:56)
> at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:196)
> at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org