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https://issues.apache.org/jira/browse/SPARK-18855?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15753120#comment-15753120
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Linbo commented on SPARK-18855:
-------------------------------
Tried several ways, the more "Spark" way is trying to create
TraversableRDDFunctions file and implicit def
rddToTraversableRDDFunctions[U](rdd: RDD[TraversableRDDFunctions[U]]) inside
RDD object. But it's hard to make this method generic because class RDD is
invariant. I will close this issue. It's more impactful that this should go on
Dataset.
> Add RDD flatten function
> ------------------------
>
> Key: SPARK-18855
> URL: https://issues.apache.org/jira/browse/SPARK-18855
> Project: Spark
> Issue Type: New Feature
> Components: Spark Core
> Reporter: Linbo
> Priority: Minor
> Labels: flatten, rdd
>
> A new RDD flatten function is similar to flatten function of scala
> collections:
> {code:title=spark-shell|borderStyle=solid}
> scala> val rdd = sc.makeRDD(List(List(1, 2, 3), List(4, 5), List(6)))
> rdd: org.apache.spark.rdd.RDD[List[Int]] = ParallelCollectionRDD[0] at
> makeRDD at <console>:24
> scala> rdd.flatten.collect
> res0: Array[Int] = Array(1, 2, 3, 4, 5, 6)
> {code}
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