Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/6081#discussion_r30167005
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -689,6 +689,18 @@ class SparkContext(config: SparkConf) extends Logging
with ExecutorAllocationCli
new ParallelCollectionRDD[T](this, seq, numSlices, Map[Int,
Seq[String]]())
}
+ /** Generate Long data from 0 until `limit` to form an RDD.
+ *
+ * @note even we can set `limit` larger than Int.MaxValue, we need to
make sure after partition
+ * each partition would have data size acceptable by setting a proper
`numSlice`.
+ */
+ def range(
+ limit: Long,
+ numSlices: Int = defaultParallelism): RDD[Long] = withScope {
--- End diff --
I remember there is no such limitation for the size of a partition. Right?
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