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From bbej...@apache.org
Subject [kafka-site] branch asf-site updated: Fix broken link for streams DSL page (#198)
Date Sat, 13 Apr 2019 22:52:03 GMT
This is an automated email from the ASF dual-hosted git repository.

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


The following commit(s) were added to refs/heads/asf-site by this push:
     new 7da40e9  Fix broken link for streams DSL page (#198)
7da40e9 is described below

commit 7da40e9b5f98cfbc6b9fb2a4c889daa4935c5f2b
Author: Bill Bejeck <bbejeck@gmail.com>
AuthorDate: Sat Apr 13 18:51:59 2019 -0400

    Fix broken link for streams DSL page (#198)
    
    Reviewers: Matthias J. Sax <mjsax@apache.org>, Michael Drogalis <michael.drogalis@confluent.io>,
Victoria Bialas <vicky@confluent.io>
---
 10/streams/core-concepts.html | 2 +-
 11/streams/core-concepts.html | 2 +-
 20/streams/core-concepts.html | 2 +-
 21/streams/core-concepts.html | 2 +-
 22/streams/core-concepts.html | 2 +-
 5 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/10/streams/core-concepts.html b/10/streams/core-concepts.html
index f2f32ad..81bfdf6 100644
--- a/10/streams/core-concepts.html
+++ b/10/streams/core-concepts.html
@@ -78,7 +78,7 @@
     <img class="centered" src="/{{version}}/images/streams-architecture-topology.jpg"
style="width:400px">
 
     <p>
-        Kafka Streams offers two ways to define the stream processing topology: the <a
href="/{{version}}/documentation/streams/developer-guide#streams_dsl"><b>Kafka Streams
DSL</b></a> provides
+        Kafka Streams offers two ways to define the stream processing topology: the <a
href="/{{version}}/documentation/streams/developer-guide/dsl-api.html"><b>Kafka Streams
DSL</b></a> provides
         the most common data transformation operations such as <code>map</code>,
<code>filter</code>, <code>join</code> and <code>aggregations</code>
out of the box; the lower-level <a href="/{{version}}/documentation/streams/developer-guide#streams_processor"><b>Processor
API</b></a> allows
         developers define and connect custom processors as well as to interact with <a
href="#streams_state">state stores</a>.
     </p>
diff --git a/11/streams/core-concepts.html b/11/streams/core-concepts.html
index b5c676c..473a268 100644
--- a/11/streams/core-concepts.html
+++ b/11/streams/core-concepts.html
@@ -133,7 +133,7 @@
         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.
diff --git a/20/streams/core-concepts.html b/20/streams/core-concepts.html
index b6d7762..594efaa 100644
--- a/20/streams/core-concepts.html
+++ b/20/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.
diff --git a/21/streams/core-concepts.html b/21/streams/core-concepts.html
index bffaa8a..f630772 100644
--- a/21/streams/core-concepts.html
+++ b/21/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.
diff --git a/22/streams/core-concepts.html b/22/streams/core-concepts.html
index c925c2e..79f5b82 100644
--- a/22/streams/core-concepts.html
+++ b/22/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.


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