Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/1381#discussion_r16908892
--- Diff:
core/src/main/scala/org/apache/spark/rdd/OrderedRDDFunctions.scala ---
@@ -67,4 +67,39 @@ class OrderedRDDFunctions[K : Ordering : ClassTag,
}
}, preservesPartitioning = true)
}
+
+ /**
+ * Returns an RDD in which only elements in the range `lower` to
`upper`. If the RDD has been
+ * partitioned using the `RangePartitioner` this is an operation that
can be done efficiently.
+ * If not a standard `filter` is used.
+ */
+ def filterByRange(lower: K, upper: K) : RDD[P] = {
+ val partitionIndicies =
+ self.partitioner match {
+ case Some(p) => {
+ p match {
+ case rp: RangePartitioner[K, V] => {
+ (rp.getPartition(lower),rp.getPartition(upper)) match {
--- End diff --
Style nit: there should be extra space after the comma. The same goes for
a few places in the code below, too.
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