Repository: kafka
Updated Branches:
  refs/heads/trunk fb22685fa -> 7a5133d55


MINOR: Fixed introduction doc - wrong streams api link

Author: Jakub Dziworski <[email protected]>

Reviewers: Guozhang Wang <[email protected]>, Jason Gustafson 
<[email protected]>

Closes #1996 from JakubDziworski/doc_fix_streams_link


Project: http://git-wip-us.apache.org/repos/asf/kafka/repo
Commit: http://git-wip-us.apache.org/repos/asf/kafka/commit/7a5133d5
Tree: http://git-wip-us.apache.org/repos/asf/kafka/tree/7a5133d5
Diff: http://git-wip-us.apache.org/repos/asf/kafka/diff/7a5133d5

Branch: refs/heads/trunk
Commit: 7a5133d5545fbffa5bea89818a5b6b3e2175e418
Parents: fb22685
Author: Jakub Dziworski <[email protected]>
Authored: Mon Oct 10 10:15:47 2016 -0700
Committer: Jason Gustafson <[email protected]>
Committed: Mon Oct 10 10:15:47 2016 -0700

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 docs/introduction.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)
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http://git-wip-us.apache.org/repos/asf/kafka/blob/7a5133d5/docs/introduction.html
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diff --git a/docs/introduction.html b/docs/introduction.html
index fb05f68..3f03fc1 100644
--- a/docs/introduction.html
+++ b/docs/introduction.html
@@ -146,7 +146,7 @@ In Kafka a stream processor is anything that takes 
continual streams of  data fr
 <p>
 For example a retail application might take in input streams of sales and 
shipments, and output a stream of reorders and price adjustments computed off 
this data.
 <p>
-It is possible to do simple processing directly using the producer and 
consumer APIs. However for more complex transformations Kafka provides a fully 
integrated <a href="/streams.html">Streams API</a>. This allows building 
applications that do non-trivial processing that compute aggregations off of 
streams or join streams together.
+It is possible to do simple processing directly using the producer and 
consumer APIs. However for more complex transformations Kafka provides a fully 
integrated <a href="/documentation.html#streams">Streams API</a>. This allows 
building applications that do non-trivial processing that compute aggregations 
off of streams or join streams together.
 <p>
 This facility helps solve the hard problems this type of application faces: 
handling out-of-order data, reprocessing input as code changes, performing 
stateful computations, etc.
 <p>

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