MINOR: remove transform and through from repartition description (#19291)

`transform` and `through` are removed in 4.0. Since users cannot
reference them in 4.0 document, it's not good to keep using them as
example in `repartition` description.

Reviewers: Matthias J. Sax <matthias@confluent.io>
This commit is contained in:
PoAn Yang 2025-04-09 09:10:25 +08:00 committed by Matthias J. Sax
parent 8de7b69ced
commit 33fa572a1c
1 changed files with 2 additions and 2 deletions

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@ -764,10 +764,10 @@ KTable&lt;byte[], String&gt; table = stream.toTable();</code></pre>
<td>
<p class="first">Manually trigger repartitioning of the stream with desired number of partitions. (<a class="reference external" href="/{{version}}/javadoc/org/apache/kafka/streams/kstream/KStream.html#repartition--">details</a>)</p>
<code><span class="pre">repartition()</span></code> is similar to <code><span class="pre">through()</span></code> however Kafka Streams will manage the topic for you.
Kafka Streams will manage the topic for <code><span class="pre">repartition()</span></code>.
Generated topic is treated as internal topic, as a result data will be purged automatically as any other internal repartition topic.
In addition, you can specify the desired number of partitions, which allows to easily scale in/out downstream sub-topologies.
<code><span class="pre">repartition()</span></code> operation always triggers repartitioning of the stream, as a result it can be used with embedded Processor API methods (like <code><span class="pre">transform()</span></code> et al.) that do not trigger auto repartitioning when key changing operation is performed beforehand.
<code><span class="pre">repartition()</span></code> operation always triggers repartitioning of the stream, as a result it can be used with embedded Processor API methods (like <code><span class="pre">process()</span></code> et al.) that do not trigger auto repartitioning when key changing operation is performed beforehand.
<pre class="line-numbers"><code class="language-java">KStream&lt;byte[], String&gt; stream = ... ;
KStream&lt;byte[], String&gt; repartitionedStream = stream.repartition(Repartitioned.numberOfPartitions(10));</code></pre>