Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/14104#discussion_r70180404
--- Diff: docs/programming-guide.md ---
@@ -1099,6 +1099,34 @@ for details.
</tr>
</table>
+#### Asynchronous Actions
+Spark provide asynchronous actions to execute two or more actions
concurrently, these actions are execute asynchronously without blocking each
other.
+The following table lists some of the asynchronous actions supported by
Spark. Refer to the RDD API doc
([Scala](api/scala/index.html#org.apache.spark.rdd.AsyncRDDActions),[Java](api/java/org/apache/spark/rdd/AsyncRDDActions.html))
+
+<table class="table">
+<tr><th>Asynchronous Action</th><th>Meaning</th></tr>
+<tr>
+ <td> <b>collectAsync</b>() </td>
+ <td> Returns a future for retrieving all the elements of the dataset as
an array at the driver program. This is usually useful after a filter or other
operation that returns a sufficiently small subset of the data. </td>
+</tr>
+<tr>
+ <td> <b>countAsync</b>() </td>
+ <td> Returns a future for counting the number of elements in the RDD.
</td>
+</tr>
+<tr>
+ <td> <b>foreachAsync</b>(<i>func</i>) </td>
+ <td> Applies a function f to all elements of this RDD. </td>
--- End diff --
This isn't specific to the async version.
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