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https://issues.apache.org/jira/browse/SPARK-4320?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14208084#comment-14208084
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Corey J. Nolet commented on SPARK-4320:
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Since this is a simple change, I wanted to work on this myself to get more
familiar with the code base. Could someone w/ the proper privileges give me
access to be able to assign this ticket to myself?
> JavaPairRDD should supply a saveAsNewHadoopDataset which takes a Job object
> ----------------------------------------------------------------------------
>
> Key: SPARK-4320
> URL: https://issues.apache.org/jira/browse/SPARK-4320
> Project: Spark
> Issue Type: Improvement
> Components: Input/Output, Spark Core
> Reporter: Corey J. Nolet
> Fix For: 1.1.1, 1.2.0
>
>
> I am outputting data to Accumulo using a custom OutputFormat. I have tried
> using saveAsNewHadoopFile() and that works- though passing an empty path is a
> bit weird. Being that it isn't really a file I'm storing, but rather a
> generic Pair dataset, I'd be inclined to use the saveAsHadoopDataset()
> method, though I'm not at all interested in using the legacy mapred API.
> Perhaps we could supply a saveAsNewHadoopDateset method. Personally, I think
> there should be two ways of calling into this method. Instead of forcing the
> user to always set up the Job object explicitly, I'm in the camp of having
> the following method signature:
> saveAsNewHadoopDataset(keyClass : Class[K], valueClass : Class[V], ofclass :
> Class[? extends OutputFormat], conf : Configuration). This way, if I'm
> writing spark jobs that are going from Hadoop back into Hadoop, I can
> construct my Configuration once.
> Perhaps an overloaded method signature could be:
> saveAsNewHadoopDataset(job : Job)
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