Repository: storm
Updated Branches:
  refs/heads/master 413389973 -> 68d3a5a35


Fix docs incorrect number of stream groupings

Project: http://git-wip-us.apache.org/repos/asf/storm/repo
Commit: http://git-wip-us.apache.org/repos/asf/storm/commit/f1703767
Tree: http://git-wip-us.apache.org/repos/asf/storm/tree/f1703767
Diff: http://git-wip-us.apache.org/repos/asf/storm/diff/f1703767

Branch: refs/heads/master
Commit: f1703767e1112cd51c48b53b65889d3b7cf14f59
Parents: 4133899
Author: Xin Wang <[email protected]>
Authored: Thu Jul 16 11:26:39 2015 +0800
Committer: Xin Wang <[email protected]>
Committed: Thu Jul 16 11:26:39 2015 +0800

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 docs/documentation/Concepts.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/storm/blob/f1703767/docs/documentation/Concepts.md
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diff --git a/docs/documentation/Concepts.md b/docs/documentation/Concepts.md
index 852c1e9..bd7ed3d 100644
--- a/docs/documentation/Concepts.md
+++ b/docs/documentation/Concepts.md
@@ -80,7 +80,7 @@ Please note that 
[OutputCollector](/javadoc/apidocs/backtype/storm/task/OutputCo
 
 Part of defining a topology is specifying for each bolt which streams it 
should receive as input. A stream grouping defines how that stream should be 
partitioned among the bolt's tasks.
 
-There are seven built-in stream groupings in Storm, and you can implement a 
custom stream grouping by implementing the 
[CustomStreamGrouping](/javadoc/apidocs/backtype/storm/grouping/CustomStreamGrouping.html)
 interface:
+There are eight built-in stream groupings in Storm, and you can implement a 
custom stream grouping by implementing the 
[CustomStreamGrouping](/javadoc/apidocs/backtype/storm/grouping/CustomStreamGrouping.html)
 interface:
 
 1. **Shuffle grouping**: Tuples are randomly distributed across the bolt's 
tasks in a way such that each bolt is guaranteed to get an equal number of 
tuples.
 2. **Fields grouping**: The stream is partitioned by the fields specified in 
the grouping. For example, if the stream is grouped by the "user-id" field, 
tuples with the same "user-id" will always go to the same task, but tuples with 
different "user-id"'s may go to different tasks.

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