Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/16137#discussion_r91937868
--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -1949,20 +2038,35 @@ class SparkContext(config: SparkConf) extends
Logging {
/**
* Run a job on all partitions in an RDD and return the results in an
array.
+ *
+ * @param rdd target RDD to run tasks on
+ * @param func a function to run on each partition of the RDD
+ * @return in-memory collection with a result of the job (each
collection element will contain
+ * a result from one partition)
*/
def runJob[T, U: ClassTag](rdd: RDD[T], func: (TaskContext, Iterator[T])
=> U): Array[U] = {
runJob(rdd, func, 0 until rdd.partitions.length)
}
/**
- * Run a job on all partitions in an RDD and return the results in an
array.
+ * Run a job on all partitions in an RDD and return the results in an
array, but take a function
+ * of type `Iterator[T] => U` instead of `(TaskContext, Iterator[T]) =>
U`.
--- End diff --
That's pretty OK, though the type info is already documented. The prose
version of the difference is more like: this one's arg doesn't take a
`TaskContext` and the other one does.
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