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MINOR: fix HTML (#9127)
Reviewers: Guozhang Wang <guozhang@confluent.io>, Boyang Chen <boyang@confluent.io>
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@ -127,7 +127,7 @@
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</p>
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<p>
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As of 2.6.0 Kafka Streams deprecates <code>KStream.through()<code> if favor of the new <code>KStream.repartition()</code> operator
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As of 2.6.0 Kafka Streams deprecates <code>KStream.through()</code> in favor of the new <code>KStream.repartition()</code> operator
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(as per <a href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-221%3A+Enhance+DSL+with+Connecting+Topic+Creation+and+Repartition+Hint">KIP-221</a>).
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<code>KStream.repartition()</code> is similar to <code>KStream.through()</code>, however Kafka Streams will manage the topic for you.
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If you need to write into and read back from a topic that you mange, you can fall back to use <code>KStream.to()</code> in combination with <code>StreamsBuilder#stream()</code>.
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<h3><a id="streams_api_changes_250" href="#streams_api_changes_250">Streams API changes in 2.5.0</a></h3>
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<p>
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We add a new <code>cogroup()</code> operator (via <a href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-150+-+Kafka-Streams+Cogroup">KIP-150</a>>)
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We add a new <code>cogroup()</code> operator (via <a href="https://cwiki.apache.org/confluence/display/KAFKA/KIP-150+-+Kafka-Streams+Cogroup">KIP-150</a>)
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that allows to aggregate multiple streams in a single operation.
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Cogrouped streams can also be windowed before they are aggregated.
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Please refer to the <a href="/{{version}}/documentation/streams/developer-guide/dsl-api.html">developer guide</a> for more details.
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