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 <bbej...@gmail.com> AuthorDate: Sat Apr 13 18:51:59 2019 -0400 Fix broken link for streams DSL page (#198) Reviewers: Matthias J. Sax <mj...@apache.org>, Michael Drogalis <michael.droga...@confluent.io>, Victoria Bialas <vi...@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.