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Posted to commits@kafka.apache.org by bb...@apache.org on 2019/04/13 22:50:37 UTC

[kafka] branch trunk updated: KAFKA-8209: Wrong link for KStreams DSL in core concepts doc (#6564)

This is an automated email from the ASF dual-hosted git repository.

bbejeck pushed a commit to branch trunk
in repository https://gitbox.apache.org/repos/asf/kafka.git


The following commit(s) were added to refs/heads/trunk by this push:
     new 75dc7e2  KAFKA-8209: Wrong link for KStreams DSL in core concepts doc (#6564)
75dc7e2 is described below

commit 75dc7e2b6b5522911b22f52bdba5357b19a9a773
Author: Bill Bejeck <bb...@gmail.com>
AuthorDate: Sat Apr 13 18:50:27 2019 -0400

    KAFKA-8209: Wrong link for KStreams DSL in core concepts doc (#6564)
    
    Reviewers Matthias J. Sax <mj...@apache.org>, Michael Drogalis <mi...@confluent.io>, Victoria Bialas <vi...@confluent.io>
---
 docs/streams/core-concepts.html | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/streams/core-concepts.html b/docs/streams/core-concepts.html
index c925c2e..79f5b82 100644
--- a/docs/streams/core-concepts.html
+++ b/docs/streams/core-concepts.html
@@ -185,7 +185,7 @@
         Some stream processing applications don't require state, which means the processing of a message is independent from
         the processing of all other messages.
         However, being able to maintain state opens up many possibilities for sophisticated stream processing applications: you
-        can join input streams, or group and aggregate data records. Many such stateful operators are provided by the <a href="/{{version}}/documentation/streams/developer-guide#streams_dsl"><b>Kafka Streams DSL</b></a>.
+        can join input streams, or group and aggregate data records. Many such stateful operators are provided by the <a href="/{{version}}/documentation/streams/developer-guide/dsl-api.html"><b>Kafka Streams DSL</b></a>.
     </p>
     <p>
         Kafka Streams provides so-called <b>state stores</b>, which can be used by stream processing applications to store and query data.