Thanks for driving the release, David!
Best,
Bruno
On 03.08.22 17:46, Kirk True wrote:
> Thanks for driving this, David!
>
> On Mon, Aug 1, 2022, at 4:45 PM, David Arthur wrote:
>> The Apache Kafka community is pleased to announce the release for
>> Apache Kafka 3.2.1
>>
>> This is a bugfix release with several fixes since the release of
>> 3.2.0. A few of the major issues include:
>>
>> * KAFKA-14062 OAuth client token refresh fails with SASL extensions
>> * KAFKA-14079 Memory leak in connectors using errors.tolerance=all
>> * KAFKA-14024 Cooperative rebalance regression causing clients to get stuck
>>
>>
>> All of the changes in this release can be found in the release notes:
>>
>> https://www.apache.org/dist/kafka/3.2.1/RELEASE_NOTES.html
>>
>>
>> You can download the source and binary release (Scala 2.12 and 2.13) from:
>>
>> https://kafka.apache.org/downloads#3.2.1
>>
>> ---------------------------------------------------------------------------------------------------
>>
>>
>> Apache Kafka is a distributed streaming platform with four core APIs:
>>
>> ** The Producer API allows an application to publish a stream of
>> 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 19 contributors to this release!
>>
>> Akhilesh Chaganti, Bruno Cadonna, Christopher L. Shannon, David
>> Arthur, Divij Vaidya, Eugene Tolbakov, Guozhang Wang, Ismael Juma,
>> James Hughes, Jason Gustafson, Kirk True, Lucas Bradstreet, Luke Chen,
>> Nicolas Guyomar, Niket Goel, Okada Haruki, Shawn Wang, Viktor
>> Somogyi-Vass, Walker Carlson
>>
>> 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,
>> David Arthur
>>
>
Best,
Bruno
On 03.08.22 17:46, Kirk True wrote:
> Thanks for driving this, David!
>
> On Mon, Aug 1, 2022, at 4:45 PM, David Arthur wrote:
>> The Apache Kafka community is pleased to announce the release for
>> Apache Kafka 3.2.1
>>
>> This is a bugfix release with several fixes since the release of
>> 3.2.0. A few of the major issues include:
>>
>> * KAFKA-14062 OAuth client token refresh fails with SASL extensions
>> * KAFKA-14079 Memory leak in connectors using errors.tolerance=all
>> * KAFKA-14024 Cooperative rebalance regression causing clients to get stuck
>>
>>
>> All of the changes in this release can be found in the release notes:
>>
>> https://www.apache.org/dist/kafka/3.2.1/RELEASE_NOTES.html
>>
>>
>> You can download the source and binary release (Scala 2.12 and 2.13) from:
>>
>> https://kafka.apache.org/downloads#3.2.1
>>
>> ---------------------------------------------------------------------------------------------------
>>
>>
>> Apache Kafka is a distributed streaming platform with four core APIs:
>>
>> ** The Producer API allows an application to publish a stream of
>> 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 19 contributors to this release!
>>
>> Akhilesh Chaganti, Bruno Cadonna, Christopher L. Shannon, David
>> Arthur, Divij Vaidya, Eugene Tolbakov, Guozhang Wang, Ismael Juma,
>> James Hughes, Jason Gustafson, Kirk True, Lucas Bradstreet, Luke Chen,
>> Nicolas Guyomar, Niket Goel, Okada Haruki, Shawn Wang, Viktor
>> Somogyi-Vass, Walker Carlson
>>
>> 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,
>> David Arthur
>>
>
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