Github user mateiz commented on a diff in the pull request:
https://github.com/apache/incubator-spark/pull/636#discussion_r9983025
--- Diff: core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
---
@@ -686,6 +649,47 @@ class PairRDDFunctions[K: ClassTag, V: ClassTag](self:
RDD[(K, V)])
}
/**
+ * Output the RDD to any Hadoop-supported storage system with new Hadoop
API, using a Hadoop
+ * Job object for that storage system. The Job should set an
OutputFormat and any output paths
+ * required (e.g. a table name to write to) in the same way as it would
be configured for a Hadoop
+ * MapReduce job.
+ */
+ def saveAsNewAPIHadoopDataset(job: NewAPIHadoopJob) {
--- End diff --
In the new Hadoop API, does this really require a Job or just a
Configuration? In the old API we only needed a configuration.
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