mirror of https://github.com/apache/kafka.git
KAFKA-6197: Update Streams API and Javadoc references in documentation (#17215)
Reviewers: Matthias J. Sax <matthias@confluent.io>
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@ -57,10 +57,10 @@
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<h3 class="anchor-heading"><a id="streamsapi" class="anchor-link"></a><a href="#streamsapi">2.3 Streams API</a></h3>
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The <a href="#streamsapi">Streams</a> API allows transforming streams of data from input topics to output topics.
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The <a href="/{{version}}/documentation/streams">Streams</a> API allows transforming streams of data from input topics to output topics.
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<p>
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Examples showing how to use this library are given in the
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<a href="/{{version}}/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html" title="Kafka {{dotVersion}} Javadoc">javadocs</a>
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<a href="/{{version}}/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html" title="Kafka {{dotVersion}} Javadoc">javadocs</a>.
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<p>
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Additional documentation on using the Streams API is available <a href="/{{version}}/documentation/streams">here</a>.
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<p>
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<p>
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When using Scala you may optionally include the <code>kafka-streams-scala</code> library. Additional documentation on using the Kafka Streams DSL for Scala is available <a href="/{{version}}/documentation/streams/developer-guide/dsl-api.html#scala-dsl">in the developer guide</a>.
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<p>
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To use Kafka Streams DSL for Scala for Scala {{scalaVersion}} you can use the following maven dependency:
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To use Kafka Streams DSL for Scala {{scalaVersion}} you can use the following maven dependency:
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<pre class="line-numbers"><code class="language-xml"><dependency>
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<groupId>org.apache.kafka</groupId>
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<h2 class="anchor-heading"><a id="connect" class="anchor-link"></a><a href="#connect">8. Kafka Connect</a></h2>
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<!--#include virtual="connect.html" -->
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<h2><a id="streams" href="/documentation/streams">9. Kafka Streams</a></h2>
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<h2><a id="streams" href="#streams">9. Kafka Streams</a></h2>
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<p>
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Kafka Streams is a client library for processing and analyzing data stored in Kafka. It builds upon important stream processing concepts such as properly distinguishing between event time and processing time, windowing support, exactly-once processing semantics and simple yet efficient management of application state.
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</p>
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Kafka Streams has a <b>low barrier to entry</b>: You can quickly write and run a small-scale proof-of-concept on a single machine; and you only need to run additional instances of your application on multiple machines to scale up to high-volume production workloads. Kafka Streams transparently handles the load balancing of multiple instances of the same application by leveraging Kafka's parallelism model.
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</p>
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<p>Learn More about Kafka Streams read <a href="/documentation/streams">this</a> Section.</p>
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<p>To learn more about Kafka Streams, visit the <a href="/documentation/streams">Kafka Streams page</a>.</p>
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<!--#include virtual="../includes/_footer.htm" -->
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<!--#include virtual="../includes/_docs_footer.htm" -->
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<a href="/{{version}}/documentation/streams/core-concepts">Concepts</a>
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<a href="/{{version}}/documentation/streams/architecture">Architecture</a>
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<a href="/{{version}}/documentation/streams/developer-guide/">Developer Guide</a>
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<a href="/{{version}}/javadoc/index.html?org/apache/kafka/streams/KafkaStreams.html">Javadoc</a>
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<a href="/{{version}}/documentation/streams/upgrade-guide">Upgrade</a>
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</div>
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</div>
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<ul>
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<li><a href="#producerapi">2.1 Producer API</a>
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<li><a href="#consumerapi">2.2 Consumer API</a>
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<li><a href="/{{version}}/documentation/streams">2.3 Streams API</a>
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<li><a href="#streamsapi">2.3 Streams API</a>
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<li><a href="#connectapi">2.4 Connect API</a>
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<li><a href="#adminapi">2.5 Admin API</a>
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</ul>
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<li><a href="#connect_administration">8.4 Administration</a>
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</ul>
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<li><a href="/{{version}}/documentation/streams">9. Kafka Streams</a>
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<li><a href="#streams">9. Kafka Streams</a>
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<ul>
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<li><a href="/{{version}}/documentation/streams/quickstart">9.1 Play with a Streams Application</a>
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<li><a href="/{{version}}/documentation/streams/tutorial">9.2 Write your own Streams Applications</a>
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