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mjsax pushed a commit to branch 2.6
in repository https://gitbox.apache.org/repos/asf/kafka.git
The following commit(s) were added to refs/heads/2.6 by this push:
new 6effff6 MINOR: fix HTML (#9127)
6effff6 is described below
commit 6effff6b06717dea95639fe97b5dd5c477c72e3d
Author: Matthias J. Sax <[email protected]>
AuthorDate: Thu Aug 6 11:22:14 2020 -0700
MINOR: fix HTML (#9127)
Reviewers: Guozhang Wang <[email protected]>, Boyang Chen
<[email protected]>
---
docs/streams/upgrade-guide.html | 4 ++--
1 file changed, 2 insertions(+), 2 deletions(-)
diff --git a/docs/streams/upgrade-guide.html b/docs/streams/upgrade-guide.html
index 41c8bf8..98e0c93 100644
--- a/docs/streams/upgrade-guide.html
+++ b/docs/streams/upgrade-guide.html
@@ -95,7 +95,7 @@
Note that you need brokers with version 2.5 or newer to use this
feature.
</p>
<p>
- As of 2.6.0 Kafka Streams deprecates <code>KStream.through()<code> if
favor of the new <code>KStream.repartition()</code> operator
+ As of 2.6.0 Kafka Streams deprecates <code>KStream.through()</code> in
favor of the new <code>KStream.repartition()</code> operator
(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>).
<code>KStream.repartition()</code> is similar to
<code>KStream.through()</code>, however Kafka Streams will manage the topic for
you.
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>.
@@ -115,7 +115,7 @@
<h3><a id="streams_api_changes_250"
href="#streams_api_changes_250">Streams API changes in 2.5.0</a></h3>
<p>
- 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>>)
+ 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>)
that allows to aggregate multiple streams in a single operation.
Cogrouped streams can also be windowed before they are aggregated.
Please refer to the <a
href="/{{version}}/documentation/streams/developer-guide/dsl-api.html">developer
guide</a> for more details.