Github user CodingCat commented on a diff in the pull request:
https://github.com/apache/spark/pull/44#discussion_r10243179
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -847,6 +847,7 @@ class SparkContext(
partitions: Seq[Int],
allowLocal: Boolean,
resultHandler: (Int, U) => Unit) {
+
require(partitions.toSet.diff(rdd.partitions.map(_.index).toSet).isEmpty,
"partition index out of range")
--- End diff --
suppose the original rdd contains 10 partitions, 0 - 9, partitionFilterFunc
is n % 2 = 0,
then filter(s => partitionFilterFunc(s.index)) returns a list (split1,
split3, split5, split7, split9), zipWithIndex will return ((split1, 0),
(split3, 1), (split5, 2), (split7, 3), (split9, 4))
.map { case(split, idx) => new PartitionPruningRDDPartition(idx, split) :
Partition } takes 0, 1, 2, 3, 4 as idx....so the index space is still
continuous......
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