Thank Luke for this hard work!!!
> Chris Egerton <fearthecel...@gmail.com> 於 2023年6月7日 上午10:35 寫道：
>
> Thanks for running this release, Luke!
>
> On Tue, Jun 6, 2023, 22:31 Luke Chen <show...@apache.org> wrote:
>
>> The Apache Kafka community is pleased to announce the release for
>> Apache Kafka 3.4.1.
>>
>> This is a bug fix release and it includes fixes and improvements from
>> 58 JIRAs, including a few critical bugs:
>> - core
>> KAFKA-14644 Process should stop after failure in raft IO thread
>> KAFKA-14946 KRaft controller node shutting down while renouncing leadership
>> KAFKA-14887 ZK session timeout can cause broker to shutdown
>> - client
>> KAFKA-14639 Kafka CooperativeStickyAssignor revokes/assigns partition
>> in one rebalance cycle
>> - connect
>> KAFKA-12558 MM2 may not sync partition offsets correctly
>> KAFKA-14666 MM2 should translate consumer group offsets behind replication
>> flow
>> - stream
>> KAFKA-14172 bug: State stores lose state when tasks are reassigned under
>> EOS
>>
>> All of the changes in this release can be found in the release notes:
>>
>> https://www.apache.org/dist/kafka/3.4.1/RELEASE_NOTES.html
>>
>> You can download the source and binary release (Scala 2.12 and Scala 2.13)
>> from:
>>
>> https://kafka.apache.org/downloads#3.4.1
>>
>>
>> ---------------------------------------------------------------------------------------------------
>>
>> Apache Kafka is a distributed streaming platform with four core APIs:
>>
>> ** The Producer API allows an application to publish a stream records
>> to one or more Kafka topics.
>>
>> ** The Consumer API allows an application to subscribe to one or more
>> topics and process the stream of records produced to them.
>>
>> ** The Streams API allows an application to act as a stream processor,
>> consuming an input stream from one or more topics and producing an
>> output stream to one or more output topics, effectively transforming
>> the input streams to output streams.
>>
>> ** The Connector API allows building and running reusable producers or
>> consumers that connect Kafka topics to existing applications or data
>> systems. For example, a connector to a relational database might
>> capture every change to a table.
>>
>>
>> With these APIs, Kafka can be used for two broad classes of application:
>>
>> ** Building real-time streaming data pipelines that reliably get data
>> between systems or applications.
>>
>> ** Building real-time streaming applications that transform or react
>> to the streams of data.
>>
>> Apache Kafka is in use at large and small companies worldwide,
>> including Capital One, Goldman Sachs, ING, LinkedIn, Netflix,
>> Pinterest, Rabobank, Target, The New York Times, Uber, Yelp, and
>> Zalando, among others.
>>
>> A big thank you for the following 32 contributors to this release!
>>
>> atu-sharm, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe,
>> csolidum, David Arthur, David Jacot, Divij Vaidya, egyedt,
>> emilnkrastev, Eric Haag, Greg Harris, Guozhang Wang, Hector Geraldino,
>> hudeqi, Jason Gustafson, Jeff Kim, Jorge Esteban Quilcate Otoya, José
>> Armando García Sancio, Lucia Cerchie, Luke Chen, Manikumar Reddy,
>> Matthias J. Sax, Mickael Maison, Philip Nee, Purshotam Chauhan, Rajini
>> Sivaram, Ron Dagostino, Terry, Victoria Xia, Viktor Somogyi-Vass, Yash
>> Mayya
>>
>> We welcome your help and feedback. For more information on how to
>> report problems, and to get involved, visit the project website at
>> https://kafka.apache.org/
>>
>>
>> Thank you!
>>
>> Regards,
>> Luke
>>
