Repository: spark
Updated Branches:
  refs/heads/master e86fbdb1e -> ddc5baf17


[SPARK-8320] [STREAMING] Add example in streaming programming guide that shows 
union of multiple input streams

Added python code to 
https://spark.apache.org/docs/latest/streaming-programming-guide.html
to the Level of Parallelism in Data Receiving section.

Please review and let me know if there are any additional changes that are 
needed.

Thank you.

Author: Neelesh Srinivas Salian <[email protected]>

Closes #6862 from nssalian/SPARK-8320 and squashes the following commits:

4bfd126 [Neelesh Srinivas Salian] Changed loop structure to be more in line 
with Python style
e5345de [Neelesh Srinivas Salian] Changes to kafak append, for loop and show to 
print()
3fc5c6d [Neelesh Srinivas Salian] SPARK-8320


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/ddc5baf1
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/ddc5baf1
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/ddc5baf1

Branch: refs/heads/master
Commit: ddc5baf17d7b09623b91190ee7754a6c8f7b5d10
Parents: e86fbdb
Author: Neelesh Srinivas Salian <[email protected]>
Authored: Thu Jun 18 09:44:36 2015 -0700
Committer: Davies Liu <[email protected]>
Committed: Thu Jun 18 09:44:36 2015 -0700

----------------------------------------------------------------------
 docs/streaming-programming-guide.md | 8 ++++++++
 1 file changed, 8 insertions(+)
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http://git-wip-us.apache.org/repos/asf/spark/blob/ddc5baf1/docs/streaming-programming-guide.md
----------------------------------------------------------------------
diff --git a/docs/streaming-programming-guide.md 
b/docs/streaming-programming-guide.md
index 1eb3b30..b784d59 100644
--- a/docs/streaming-programming-guide.md
+++ b/docs/streaming-programming-guide.md
@@ -1937,6 +1937,14 @@ JavaPairDStream<String, String> unifiedStream = 
streamingContext.union(kafkaStre
 unifiedStream.print();
 {% endhighlight %}
 </div>
+<div data-lang="python" markdown="1">
+{% highlight python %}
+numStreams = 5
+kafkaStreams = [KafkaUtils.createStream(...) for _ in range (numStreams)]
+unifiedStream = streamingContext.union(kafkaStreams)
+unifiedStream.print()
+{% endhighlight %}
+</div>
 </div>
 
 Another parameter that should be considered is the receiver's blocking 
interval,


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