flink git commit: [doc] fix spelling mistakes in the transformations guide

[va...@apache.org]

Repository: flink
Updated Branches:
  refs/heads/master b32c97a9c -> 0ca425a66


[doc] fix spelling mistakes in the transformations guide

This closes #1333


Project: http://git-wip-us.apache.org/repos/asf/flink/repo
Commit: http://git-wip-us.apache.org/repos/asf/flink/commit/0ca425a6
Tree: http://git-wip-us.apache.org/repos/asf/flink/tree/0ca425a6
Diff: http://git-wip-us.apache.org/repos/asf/flink/diff/0ca425a6

Branch: refs/heads/master
Commit: 0ca425a666181062eb9d952d84a56cb9dcfe19db
Parents: b32c97a
Author: vasia <va...@apache.org>
Authored: Thu Nov 5 13:42:47 2015 +0100
Committer: vasia <va...@apache.org>
Committed: Thu Nov 5 20:58:52 2015 +0100

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 docs/apis/dataset_transformations.md | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)
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http://git-wip-us.apache.org/repos/asf/flink/blob/0ca425a6/docs/apis/dataset_transformations.md
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diff --git a/docs/apis/dataset_transformations.md b/docs/apis/dataset_transformations.md
index cfa138c..c7debd3 100644
--- a/docs/apis/dataset_transformations.md
+++ b/docs/apis/dataset_transformations.md
@@ -655,7 +655,7 @@ expects input type `I`.
 
 In some applications, it is desirable to combine a DataSet into an intermediate
 format before performing additional transformations (e.g. to reduce data
-size). This can be achieved with a ComineGroup transformation with very little
+size). This can be achieved with a CombineGroup transformation with very little
 costs.
 
 **Note:** The GroupCombine on a Grouped DataSet is performed in memory with a
@@ -665,7 +665,7 @@ costs.
   results.
 
 The following example demonstrates the use of a CombineGroup transformation for
-an alternative WordCount implementation. In the implementation,
+an alternative WordCount implementation.
 
 <div class="codetabs" markdown="1">
 <div data-lang="java" markdown="1">
@@ -736,7 +736,7 @@ val output: DataSet[(String, Int)] = combinedWords
 The above alternative WordCount implementation demonstrates how the GroupCombine
 combines words before performing the GroupReduce transformation. The above
 example is just a proof of concept. Note, how the combine step changes the type
-of the DataSet which would normally required an additional Map transformation
+of the DataSet which would normally require an additional Map transformation
 before executing the GroupReduce.
 
 ### Aggregate on Grouped Tuple DataSet
@@ -747,7 +747,7 @@ There are some common aggregation operations that are frequently used. The Aggre
 - Min, and
 - Max.
 
-The Aggregate transformation can only be applied on a Tuple DataSet and supports only field positions keys for grouping.
+The Aggregate transformation can only be applied on a Tuple DataSet and supports only field position keys for grouping.
 
 The following code shows how to apply an Aggregation transformation on a DataSet grouped by field position keys: