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-rw-r--r--docs/streaming-programming-guide.md4
1 files changed, 2 insertions, 2 deletions
diff --git a/docs/streaming-programming-guide.md b/docs/streaming-programming-guide.md
index 677f5ff7be..4d1932bc8c 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -798,7 +798,7 @@ Some of the common ones are as follows.
<td> <b>reduce</b>(<i>func</i>) </td>
<td> Return a new DStream of single-element RDDs by aggregating the elements in each RDD of the
source DStream using a function <i>func</i> (which takes two arguments and returns one).
- The function should be associative so that it can be computed in parallel. </td>
+ The function should be associative and commutative so that it can be computed in parallel. </td>
</tr>
<tr>
<td> <b>countByValue</b>() </td>
@@ -1072,7 +1072,7 @@ said two parameters - <i>windowLength</i> and <i>slideInterval</i>.
<tr>
<td> <b>reduceByWindow</b>(<i>func</i>, <i>windowLength</i>, <i>slideInterval</i>) </td>
<td> Return a new single-element stream, created by aggregating elements in the stream over a
- sliding interval using <i>func</i>. The function should be associative so that it can be computed
+ sliding interval using <i>func</i>. The function should be associative and commutative so that it can be computed
correctly in parallel.
</td>
</tr>