Github user CrazyJvm commented on a diff in the pull request:
https://github.com/apache/spark/pull/766#discussion_r12670482
--- Diff: docs/streaming-programming-guide.md ---
@@ -522,9 +522,9 @@ common ones are as follows.
<td> <b>reduceByKey</b>(<i>func</i>, [<i>numTasks</i>]) </td>
<td> When called on a DStream of (K, V) pairs, return a new DStream of
(K, V) pairs where the
values for each key are aggregated using the given reduce function.
<b>Note:</b> By default,
- this uses Spark's default number of parallel tasks (2 for local machine,
8 for a cluster) to
- do the grouping. You can pass an optional <code>numTasks</code> argument
to set a different
- number of tasks.</td>
+ this uses Spark's default number of parallel tasks (local mode is 2,
while cluster mode is
--- End diff --
it's good i think : )
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