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Apache Kafka 3.9.1 Release Announcement

20 May 2025 - Luke Chen (@showuon1), TengYao Chi (@zephyrankvicky)

We are proud to announce the release of Apache Kafka 3.9.1. This bug-fix release has several fixes, and most importantly, it adds Java 23 support. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.9.1 from any version 0.8.x through 3.8.x section in the documentation for the list of notable changes and detailed upgrade steps.

Summary

This was a community effort, so thank you to everyone who contributed to this release:
Alieh Saeedi, Almog Gavra, Alyssa Huang, Andrew Schofield, Anna Sophie Blee-Goldman, Ayoub Omari, Azhar Ahmed, Bill Bejeck, Bruno Cadonna, Chia-Ping Tsai, Colin Patrick McCabe, Colt McNealy, David Arthur, David Jacot, Dimitar Dimitrov, Divij Vaidya, Edoardo Comar, Federico Valeri, Florian Hussonnois, Greg Harris, Guozhang Wang, Hailey Ni, Ismael Juma, Jeff Kim, Jhen-Yung Hsu, Jonah Hooper, Jorge Esteban Quilcate Otoya, Josep Prat, José Armando García Sancio, Jun Rao, Justin Lee, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kirk True, Kuan-Po Tseng, Laxman Ch, Lianet Magrans, Logan Zhu, Lucas Brutschy, Luke Chen, Manikumar Reddy, Martin Sillence, Matthias J. Sax, Mickael Maison, Ming-Yen Chung, Nick Telford, nilmadhab mondal, Parker Chang, PoAn Yang, Sean Quah, Sebastien Viale, ShivsundarR, Stig Døssing, TaiJuWu, TengYao Chi, Vedarth Sharma, Ziming Deng

Apache Kafka 4.0.0 Release Announcement

18 March 2025 - David Jacot

We are proud to announce the release of Apache Kafka® 4.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent ones. For a full list of changes, be sure to check the release notes.

Apache Kafka 4.0 is a significant milestone, marking the first major release to operate entirely without Apache ZooKeeper®. By running in KRaft mode by default, Kafka simplifies deployment and management, eliminating the complexity of maintaining a separate ZooKeeper ensemble. This change significantly reduces operational overhead, enhances scalability, and streamlines administrative tasks. We want to take this as an opportunity to express our gratitude to the ZooKeeper community and say thank you! ZooKeeper was the backbone of Kafka for more than 10 years, and it did serve Kafka very well. Kafka would most likely not be what it is today without it. We don’t take this for granted, and highly appreciate all of the hard work the community invested to build ZooKeeper. Thank you!

Kafka 4.0 also brings the general availability of KIP-848, introducing a powerful new consumer group protocol designed to dramatically improve rebalance performance. This optimization significantly reduces downtime and latency, enhancing the reliability and responsiveness of consumer groups, especially in large-scale deployments.

Additionally, we are excited to offer early access to Queues for Kafka (KIP-932), enabling Kafka to support traditional queue semantics directly. This feature extends Kafka’s versatility, making it an ideal messaging platform for a wider range of use cases, particularly those requiring point-to-point messaging patterns.

Kafka's major releases, such as version 4.0, remove APIs deprecated for at least 12 months to simplify the platform, and encourage the adoption of newer features. Notably, in Kafka 4.0, Kafka Clients and Kafka Streams require Java 11, while Kafka Brokers, Connect, and Tools, now require Java 17. This release also updates the minimum supported client and broker versions (KIP-896), and defines new baseline requirements for supported upgrade paths. Further details are provided in subsequent sections of this document.

These highlights illustrate Kafka's continued evolution to meet the demands of modern, scalable, and efficient data streaming and messaging architectures.

See the Upgrading to 4.0 section in the documentation for the list of notable changes and detailed upgrade steps.

Kafka Broker, Controller, Producer, Consumer and Admin Client

  • KIP-848: The Next Generation of the Consumer Rebalance Protocol
    Apache Kafka says goodbye to “stop-the-world” rebalances with the general availability of the next generation of the consumer rebalance protocol. It increases the stability and the performance of consumer groups while simplifying clients. The new protocol is enabled by default on the server side. Consumers must opt-in by setting group.protocol=consumer. See here for details.
  • KIP-890: Transactions Server-Side Defense
    The second phase of KIP-890 has been completed. It reduces the chances of “zombie transactions” during producer failures. See here for details.
  • KIP-932: Queues for Kafka (Early Access)
    This KIP introduces the concept of a share group as a way of enabling cooperative consumption using Kafka topics. It does not add the concept of a “queue” to Kafka per se, but rather introduces cooperative consumption to accommodate these queuing use-cases, using regular Kafka topics. Share groups make this possible. You can think of a share group as roughly equivalent to a “durable shared subscription” in existing systems. Please see the Early Access Release Notes for limitations and configurations.
  • KIP-966: Eligible Leader Replicas (Preview)
    KIP-966 introduces Eligible Leader Replicas (ELR) in preview in 4.0. ELR is a subset of the ISR replicas guaranteed to have complete data up to the high-watermark. ELRs are safe for leader election, preventing data loss. See here for details.
  • KIP-996: Pre-Vote
    KIP-996 introduces a "Pre-Vote" mechanism to reduce unnecessary KRaft leader elections in Apache Kafka clusters. By allowing nodes to check their eligibility for leadership before initiating an election, this approach minimizes disruptions caused by network partitions or transient issues.
  • KIP-1076: Metrics for client applications KIP-714 extension
    With KIP-714, cluster operators can now collect client metrics directly from brokers using a plugin. This makes it much easier to monitor client behavior. However, KIP-714 only gathers metrics from Kafka clients (admin, consumer, and producer), and doesn't cover application-level metrics for embedded clients, such as Kafka Streams. To fully understand performance, it's important to collect both client metrics and application-specific metrics. This KIP introduces a way for applications that use Kafka clients to include their own metrics alongside the existing client metrics.
  • KIP-1106: Add duration based offset reset option for consumer clients
    Kafka consumers support the auto.offset.reset config option, which is used when there is no initial offset in Kafka, or if the current offset does not exist any more on the server. This config currently supports earliest/latest/none options. Currently consumer resets might force applications to reprocess large amounts of data from earlier offsets. With infinite storage, it's beneficial to have a duration based offset reset strategy. This KIP allows applications to consume/initialize from a fixed duration when there is no initial offset in Kafka.
  • KIP-1043: Administration of groups
    KIP-848 and KIP-932 introduce new group types, consumer and share, respectively. The Admin Client API has limitations when dealing with newer group types, sometimes returning errors or incorrectly stating that groups don't exist. To address this challenge, a new command-line tool, kafka-groups.sh, and updates to existing command line tools, kafka-consumer-groups.sh and kafka-share-groups.sh, were made in Kafka 4.0 to enable users to view all groups in a cluster, along with their types and protocols —- providing accurate information even when the Admin Client API fails.
  • KIP-1099: Extend kafka-consumer-groups command line tool to support new consumer group
    This KIP extends the kafka-consumer-groups.sh and the kafka-share-groups.sh command line tools to provide more information related to consumer and share groups. This helps when it comes to troubleshooting consumer and share groups, respectively introduced by KIP-848 and KIP-932.
  • KIP-1102: Enable clients to rebootstrap based on timeout or error code
    KIP-1102 enhances Kafka client resilience by proactively triggering metadata rebootstrap when no updates occur within a timeout period, and allowing servers to explicitly signal clients to rebootstrap. This addresses previous limitations in KIP-899, where clients could become stuck with outdated metadata unless all brokers were unreachable.
  • KIP-896: Remove old client protocol API versions in Kafka 4.0
    For the first time, old protocol API versions have been removed. Users should ensure brokers are version 2.1 or higher before upgrading Java clients (including Connect and Streams) to 4.0. Similarly, users should ensure their Java client version is 2.1 or higher before upgrading brokers to 4.0.
  • KIP-1124: Providing a clear Kafka Client upgrade path for 4.x
    This KIP outlines the upgrade path for Kafka Clients, Streams and Connect to 4.0. It is a must read before upgrading your clusters and clients.
  • KIP-653: Upgrade log4j to log4j2
    The logging framework has been migrated from Log4j to Log4j2. Users can use the log4j-transform-cli tool to automatically convert their existing Log4j configuration files to Log4j2 format. Users can also keep using their Log4j configurations, but with certain limitations. Check the migration guide for details.
  • KIP-724: Drop support for message formats v0 and v1
    The message formats v0 and v1 were deprecated in Apache Kafka 3.0. They have been removed in 4.0.
  • KIP-750: Drop support for Java 8 in Kafka 4.0 (deprecate in 3.0) and KIP-1013: Drop broker and tools support for Java 11 in Kafka 4.0 (deprecate in 3.7)
    Kafka Clients and Kafka Streams require Java 11, while Kafka Brokers, Connect and Tools now require Java 17.
  • KIP-1030: Change constraints and default values for various configurations
    KIP-1030 has changed the default values of some configurations in order to provide better defaults to users starting out using Apache Kafka. Check out the KIP for the details.

Kafka Streams

  • KIP-1104: Allow Foreign Key Extraction from Both Key and Value in KTable Joins
    KIP-1104 enhances Kafka Streams by allowing foreign keys to be extracted directly from both record keys and values, removing the need to duplicate keys into values for foreign-key joins. This improvement simplifies joins, reduces storage overhead, and provides a more intuitive developer experience.
  • KIP-1112: Allow custom processor wrapping
    KIP-1112 simplifies applying cross-cutting logic in Kafka Streams by introducing the ProcessorWrapper interface, enabling seamless injection of custom logic around Processor API and DSL processors. This eliminates previous redundancy and reduces the maintenance overhead caused by manually integrating logic into each processor individually.
  • KIP-1065: Add "retry" return-option to ProductionExceptionHandler
    KIP-1065 addresses persistent errors in Kafka Streams by allowing users to break retry loops via a new "RETRY" option in the ProductionExceptionHandler. This enhancement provides customizable error handling, enabling retries, graceful failures, or dropping problematic records to continue processing efficiently.
  • KIP-1091: Improved Kafka Streams operator metrics
    Kafka Streams exposes its metrics with KIP-1076. This KIP specifically adds a state metric for each StreamThread and the client instance itself. It also provides detailed visibility into application state.

Kafka Connect

  • KIP-970: Deprecate and remove Connect's redundant task configurations endpoint
    The endpoint GET /connectors/{connector}/tasks-config added in KIP-661 was deprecated in Apache Kafka 3.7 and is finally removed in 4.0. The endpoint GET /connectors/{connector}/tasks must be used as a replacement.
  • KIP-1074: Allow the replication of user internal topics
    Previously, MirrorMaker 2 automatically excluded topics whose names ended with .internal or -internal, incorrectly classifying them as internal topics. This behavior prevented legitimate business topics from being replicated unless users implemented a custom replication policy. This KIP introduces a configurable option that allows users to replicate such topics without requiring custom code.
  • KIP-1089: Allow disabling heartbeats replication in MirrorSourceConnector
    Previously, MirrorSourceConnector always replicated heartbeat topics, which could cause issues when multiple connectors with different configurations replicated topics between the same clusters, resulting in duplicate heartbeat replication. This KIP introduces a configurable option to disable heartbeat topic replication, providing users greater flexibility, particularly when using multiple connectors with distinct configurations.
  • KIP-1032: Upgrade to Jakarta and JavaEE 10 in Kafka 4.0
    Kafka Connect previously utilized outdated JavaEE APIs, restricting its compatibility with contemporary Jakarta EE frameworks and applications. KIP-1032 addresses this by upgrading Kafka 4.0 to Jakarta EE and JavaEE 10 APIs, introducing Java 17 as a required minimum version, and aligning Kafka with current standards for improved maintainability.

Summary

Ready to get started with Apache Kafka 4.0.0? Check out all the details in the upgrade notes and the release notes, and download Apache Kafka 4.0.0.

This was a community effort, so thank you to everyone who contributed to this release, including all our users and our 175 contributors:
A. Sophie Blee-Goldman, abhi-ksolves, Abhijeet Kumar, Abhinav Dixit, Abhishek Giri, Alieh Saeedi, Almog Gavra, Alyssa Huang, Andrew Schofield, Anshul Goyal, Ao Li, Apoorv Mittal, Arnav Dadarya, Arpit Goyal, Artem Livshits, Ayoub Omari, bachmanity1, bboyleonp666, Bill Bejeck, brenden20, Bruno Cadonna, Caio Guedes, Calvin Liu, Chengyan, Cheryl Simmons, Chia-Chuan Yu, Chia-Ping Tsai, Chirag Wadhwa, Chris Egerton, Christo Lolov, Christopher L. Shannon, ClarkChen, Clay Johnson, Colin P. McCabe, Colt McNealy, Danica Fine, Dániel Urbán, David Arthur, David Jacot, David Mao, David Schlosnagle, Dejan Stojadinović, devanshikhatsuriya, Dimitar Dimitrov, Divij Vaidya, DL1231, Dmitry Werner, donaldzhu-cc, Dongnuo Lyu, dujian0068, Edoardo Comar, Eric Chang, Federico Valeri, Frederik Rouleau, GangHuo, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Guozhang Wang, Hailey Ni, Hongten, Hyunsang Han, Ian McDonald, Igor Soarez, Ismael Juma, Ivan Yurchenko, Jakub Scholz, Jason Gustafson, Jason Taylor, Jeff Kim, Jhen-Yung Hsu, Jim Galasyn, João Pedro Fonseca Dantas, John Huang, JohnHuang, Jonah Hooper, José Armando García Sancio, Josep Prat, Jun Rao, Justin Lee, Justine Olshan, Kamal Chandraprakash, KApolinario1120, kartik-3513, Kaushik Raina, Ken Huang, kevin-wu24, Kirk True, Kondrat Bertalan, Krishna Agarwal, Kuan-Po Tseng, kwonyonghyun, Laxman Ch, Liam Miller-Cushon, Lianet Magrans, Linsiyuan9, Linu Shibu, Liu Zeyu, Logan Zhu, Loïc Greffier, Lucas Brutschy, Luke Chen, lushilin, Mahsa Seifikar, Manikumar Reddy, mannoopj, Martin Sillence, Mason Chen, Matthias J. Sax, Mehari Beyene, Mickael Maison, Ming-Yen Chung, mingdaoy, msureshpro, Murali Basani, Nancy, Nick Guo, Nick Telford, Oleg Bonar, Oleksandr K., Omnia Ibrahim, Parker Chang, Patrik Marton, Paul R. Mellor, Peter Lee, Philip Nee, PoAn Yang, Rajini Sivaram, Ramin Gharib, Ritika Reddy, Robert Young, Rohan, S.Y. Wang, Said Boudjelda, Sanskar Jhajharia, santhoshct, Sasaki Toru, Satish Duggana, Saxon Chen, Scott Hendricks, Sean Quah, Sebastien Viale, Shivsundar R, snehashisp, Stanislav Knot, Steven Xu, stevenbooke, Stig Døssing, Sushant Mahajan, Swikar Patel, TaiJuWu, tall15421542-lab, TapDang, Ted Yan, TengYao Chi, Thomas Thornton, Tim Fox, tkuramoto33, Tom Duckering, Vedarth Sharma, Vikas Singh, Viktor Somogyi-Vass, Vincent Jiang, wperlichek, xijiu, Xuan-Zhang Gong, yangjf2019, Yaroslav Kutsela, Yash Mayya, Yung, yungh, yx9o, Zhengke Zhou, Ziming Deng, 陳昱霖 (Yu-Lin Chen)

Apache Kafka 3.9.0 Release Announcement

6 November 2024 - Colin P. McCabe

We are proud to announce the release of Apache Kafka 3.9.0. This is a major release, the final one in the 3.x line. This will also be the final major release to feature the deprecated Apache ZooKeeper mode. Starting in 4.0 and later, Kafka will always run without ZooKeeper.

Dynamic KRaft Quorums

When in KRaft mode, Kafka relies on a Raft quorum of controller processes to store its metadata log. Previously, controller quorums were specified by a static configuration that needed to be set on all brokers and controllers. This made changing the hostnames of controllers, or adding or removing them, very difficult to do without downtime.

KIP-853: KRaft Controller Membership Changes makes quorum membership dynamic. Administrators can now add and remove controller nodes by running the kafka-metadata-quorum.sh tool or using the associated AdminClient API.

This feature has been eagerly awaited by the community, and we are excited to deliver it in 3.9. The main limitation in 3.9 is that we do not support converting over static metadata quorums to dynamic ones. However, this ability is coming soon.

For more information about using the new dynamic quorums feature, see the KIP-853 documentation.

Improved ZooKeeper Migration

Users that are using ZooKeeper mode today need to go through a process called ZooKeeper migration before they will be able to use KRaft mode. The migration process involves running a series of commands to copy the metadata stored in ZooKeeper into a KRaft quorum.

ZK migration is not a new feature; indeed, it has been under development since Kafka 3.4. However, I wanted to highlight that Kafka 3.9 is the final and best iteration of our ZK migration feature. As we migrated thousands of clusters (big and small), we found and fixed many bugs. We also closed all of the remaining feature gaps that kept some users tied to ZooKeeper.

Kafka 4.0 will be fully saying goodbye to ZooKeeper. There will be no support for running in ZK mode, or migrating from ZK mode. This means that administrators that are still using the deprecated ZK mode who need to upgrade to 4.0 and beyond will need to make a stop at a "bridge release." For example, if you wanted to upgrade from Kafka 3.0 to Kafka 4.0, you might do the following:

  • Upgrade to Kafka 3.9.
  • Perform ZK migration.
  • Upgrade to Kafka 4.0.

In this example, Kafka 3.9 serves as the "bridge" to 4.0

As you migrate your older Kafka clusters, also keep in mind that Kafka 3.5 and later use a version of ZooKeeper that is not wire-compatible with Kafka versions older than 2.4. Therefore, if you want to migrate a cluster older than that, you will have to make an additional stop at a release with a ZK version supported by both Kafkas. See KIP-902 for details.

As an example, if you wanted to migrate from Kafka 1.0 to Kafka 4.0, you might do the following:

  • Upgrade to Kafka 3.4 (a newer version will not work due to ZK incompatibilites)
  • Upgrade to ZooKeeper 3.8
  • Upgrade to Kafka 3.9.
  • Perform ZK migration.
  • Upgrade to Kafka 4.0.

These multi-step migrations should be quite rare. Running such an old Kafka version raises security concerns, after all. However, I wanted to mention it for completeness.

Tiered Storage

Tiered storage is a feature that has been under development since Kafka 3.6. It allows Kafka to seamlessly offload data to pluggable external storage systems, such as cloud object stores. (See KIP-405 for more details.)

Tiered storage is now production-ready in Kafka 3.9. In addition, we added the following improvements:

Kafka Streams

There are several Kafka Streams improvements in Apache Kafka 3.9.

Kafka Connect

Kafka Connect received several improvements in 3.9 as well.

Conclusion

I hope that this post has given you a sense of all the exciting things that are going on in Kafka 3.9. For more details, take a look at the release notes, or simply download the release for yourself.

This was a community effort, so thank you to everyone who contributed to this release:
A. Sophie Blee-Goldman, abhi-ksolves, Abhijeet Kumar, Abhinav Dixit, Adrian Preston, Alieh Saeedi, Alyssa Huang, Anatoly Popov, Andras Katona, Andrew Schofield, Andy Wilkinson, Anna Sophie Blee-Goldman, Antoine Pourchet, Apoorv Mittal, Arnav Dadarya, Arnout Engelen, Arpit Goyal, Arun Mathew, Ayoub Omari, bachmanity1, Bill Bejeck, brenden20, Bruno Cadonna, Chia Chuan Yu, Chia-Ping Tsai, ChickenchickenLove, Chirag Wadhwa, Chris Egerton, Christo Lolov, Ming-Yen Chung, Colin P. McCabe, Cy, David Arthur, David Jacot, Demonic, dengziming, Dimitar Dimitrov, Dmitry Werner, Dongnuo Lyu, dujian0068, Edoardo Comar, Farbod Ahmadian, Federico Valeri, Fiore Mario Vitale, Florin Akermann, Francois Visconte, Ganesh Sadanala, Gantigmaa Selenge, Gaurav Narula, gongxuanzhang, Greg Harris, Gyeongwon Do, Harry Fallows, Hongten, Ian McDonald, Igor Soarez, Ismael Juma, Ivan Yurchenko, Jakub Scholz, Jason Gustafson, Jeff Kim, Jim Galasyn, Jinyong Choi, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kevin Wu, Kirk True, Kondrat Bertalan, Krishna Agarwal, KrishVora01, Kuan-Po (Cooper) Tseng, Lee Dongjin, Lianet Magrans, Logan Zhu, Loïc GREFFIER, Lucas Brutschy, Luke Chen, Maciej Moscicki, Manikumar Reddy, Mason Chen, Matthias J. Sax, Max Riedel, Mickael Maison, Murali Basani, Nancy, Nicolas Guyomar, Nikolay, Okada Haruki, Omnia Ibrahim, PaulRMellor, Pavel Pozdeev, Phuc-Hong-Tran, Piotr Rzysko, PoAn Yang, Ritika Reddy, Rohan, Ron Dagostino, Sanskar Jhajharia, Satish Duggana, Sean Quah, Sebastien Viale, Shawn Hsu, ShivsundarR, Sushant Mahajan, TaiJuWu, TengYao Chi, TingIāu "Ting" Ki, vamossagar12, Vedarth Sharma, Vikas Balani, Vikas Singh, Viktor Somogyi-Vass, Vinay Agarwal, Vincent Rose, Volk, Wang Xiaoqing, Xiduo You, xijiu, Xuan-Zhang Gong, Yash Mayya, Zhengke Zhou.

Apache Kafka 3.8.1 Release Announcement

29 October 2024 - Josep Prat (@jlprat)

We are proud to announce the release of Apache Kafka 3.8.1. This is a bugfix release. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.8.1 from any version 0.8.x through 3.7.x section in the documentation for the list of notable changes and detailed upgrade steps.

Summary

This was a community effort, so thank you to everyone who contributed to this release:
Andrew Schofield, Apoorv Mittal, Bill Bejeck, Bruno Cadonna, Chia-Ping Tsai, Chris Egerton, Colin P. McCabe, David Arthur, Guillaume Mallet, Igor Soarez, Josep Prat, Justine Olshan, Ken Huang, Kondrat Bertalan, Kuan-Po Tseng, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mickael Maison, PoAn Yang, Rohan, TengYao Chi, Vikas Singh

Apache Kafka 3.8.0 Release Announcement

29 July 2024 - Josep Prat (@jlprat)

We are proud to announce the release of Apache Kafka 3.8.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.8.0 from any version 0.8.x through 3.7.x section in the documentation for the list of notable changes and detailed upgrade steps.

In a previous release, 3.6, tiered storage was released as early access feature. In this release, Tiered Storage now supports clusters configured with multiple log directories (i.e. JBOD feature). This feature still remains as early access.

In the last release, 3.7, KIP-858 was released in early access. Since this version, JBOD in KRaft is no longer considered an early access feature.

Up until now, only the default compression level was used by Apache Kafka. From this version on, a configuration mechanism to specify compression level is included. See KIP-390 for more details.

KIP-848 The Next Generation of the Consumer Rebalance Protocol is available as preview in 3.8. This version includes numerous bug fixes and the community is encouraged to test and provide feedback. See the preview release notes for more information.

The configuration value offsets.commit.required.acks is deprecated in this version and it will be removed in Kafka 4.0. See KIP-1041 for more details.

Note: ZooKeeper is marked as deprecated since the 3.5.0 release. ZooKeeper is planned to be removed in Apache Kafka 4.0. For more information, please see the documentation for ZooKeeper Deprecation.

Kafka Broker, Controller, Producer, Consumer and Admin Client

Kafka Streams

  • KIP-989: Improved StateStore Iterator metrics for detecting leaks:
    This KIP introduces several new metrics to aid users in finding leaked Iterators, as well as identifying the cause of a high number of pinned blocks, or other kinds of memory leaks and performance problems.
  • KIP-924: customizable task assignment for Streams:
    This KIP adds a new group of configurable interfaces for plugging custom behaviour into the Streams Partition Assignor. This configuration supplants the existing internal task assignor config. Additionally, it limits the scope of these configs to supplying a custom task assignor. This opens the door for future KIPs to add further configs in which a user can set to plug in custom behavior.
  • KIP-813: Shareable State Stores:
    This KIP adds Shareable State Stores, introducing the ability to use data within a state store across multiple applications without duplicating it on topic level.

Kafka Connect

Summary

Ready to get started with Apache Kafka 3.8.0? Check out all the details in the release notes and download Apache Kafka 3.8.0.

This was a community effort, so thank you to everyone who contributed to this release, including all our users and our 196 contributors:
Aadithya Chandra, Abhijeet Kumar, Abhinav Dixit, Adrian Preston, Afshin Moazami, Ahmed Najiub, Ahmed Sobeh, Akhilesh Chaganti, Almog Gavra, Alok Thatikunta, Alyssa Huang, Anatoly Popov, Andras Katona, Andrew Schofield, Anna Sophie Blee-Goldman, Antoine Pourchet, Anton Agestam, Anton Liauchuk, Anuj Sharma, Apoorv Mittal, Arnout Engelen, Arpit Goyal, Artem Livshits, Ashwin Pankaj, Ayoub Omari, Bruno Cadonna, Calvin Liu, Cameron Redpath, charliecheng630, Cheng-Kai, Zhang, Cheryl Simmons, Chia Chuan Yu, Chia-Ping Tsai, ChickenchickenLove, Chris Egerton, Chris Holland, Christo Lolov, Christopher Webb, Colin P. McCabe, Colt McNealy, cooper.tseng@suse.com, Vedarth Sharma, Crispin Bernier, Daan Gerits, David Arthur, David Jacot, David Mao, dengziming, Divij Vaidya, DL1231, Dmitry Werner, Dongnuo Lyu, Drawxy, Dung Ha, Edoardo Comar, Eduwer Camacaro, Emanuele Sabellico, Erik van Oosten, Eugene Mitskevich, Fan Yang, Federico Valeri, Fiore Mario Vitale, flashmouse, Florin Akermann, Frederik Rouleau, Gantigmaa Selenge, Gaurav Narula, ghostspiders, gongxuanzhang, Greg Harris, Gyeongwon Do, Hailey Ni, Hao Li, Hector Geraldino, highluck, hudeqi, Hy (하이), IBeyondy, Iblis Lin, Igor Soarez, ilyazr, Ismael Juma, Ivan Vaskevych, Ivan Yurchenko, James Faulkner, Jamie Holmes, Jason Gustafson, Jeff Kim, jiangyuan, Jim Galasyn, Jinyong Choi, Joel Hamill, John Doe zh2725284321@gmail.com, John Roesler, John Yu, Johnny Hsu, Jorge Esteban Quilcate Otoya, Josep Prat, José Armando García Sancio, Jun Rao, Justine Olshan, Kalpesh Patel, Kamal Chandraprakash, Ken Huang, Kirk True, Kohei Nozaki, Krishna Agarwal, KrishVora01, Kuan-Po (Cooper) Tseng, Kvicii, Lee Dongjin, Leonardo Silva, Lianet Magrans, LiangliangSui, Linu Shibu, lixinyang, Lokesh Kumar, Loïc GREFFIER, Lucas Brutschy, Lucia Cerchie, Luke Chen, Manikumar Reddy, mannoopj, Manyanda Chitimbo, Mario Pareja, Matthew de Detrich, Matthias Berndt, Matthias J. Sax, Matthias Sax, Max Riedel, Mayank Shekhar Narula, Michael Edgar, Michael Westerby, Mickael Maison, Mike Lloyd, Minha, Jeong, Murali Basani, n.izhikov, Nick Telford, Nikhil Ramakrishnan, Nikolay, Octavian Ciubotaru, Okada Haruki, Omnia G.H Ibrahim, Ori Hoch, Owen Leung, Paolo Patierno, Philip Nee, Phuc-Hong-Tran, PoAn Yang, Proven Provenzano, Qichao Chu, Ramin Gharib, Ritika Reddy, Rittika Adhikari, Rohan, Ron Dagostino, runom, rykovsi, Sagar Rao, Said Boudjelda, sanepal, Sanskar Jhajharia, Satish Duggana, Sean Quah, Sebastian Marsching, Sebastien Viale, Sergio Troiano, Sid Yagnik, Stanislav Kozlovski, Stig Døssing, Sudesh Wasnik, TaiJuWu, TapDang, testn, TingIāu "Ting" Kì, vamossagar12, Vedarth Sharma, Victor van den Hoven, Vikas Balani, Viktor Somogyi-Vass, Vincent Rose, Walker Carlson, wernerdv, Yang Yu, Yash Mayya, yicheny, Yu-Chen Lai, yuz10, Zhifeng Chen, Zihao Lin, Ziming Deng, 谭九鼎

Apache Kafka 3.7.1 Release Announcement

28 June 2024 - Igor Soarez (@soarez)

We are proud to announce the release of Apache Kafka 3.7.1. This is a bugfix release. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.7.1 from any version 0.8.x through 3.6.x section in the documentation for the list of notable changes and detailed upgrade steps.

Summary

This was a community effort, so thank you to everyone who contributed to this release:
Adrian Preston, Anatoly Popov, Andras Katona, Andrew Schofield, Anna Sophie Blee-Goldman, Anton Liauchuk, Apoorv Mittal, Ayoub Omari, Bruno Cadonna, Calvin Liu, Cameron Redpath, Cheng-Kai Zhang, Chia-Ping Tsai, Chris Egerton, Colin Patrick McCabe, David Arthur, David Jacot, Divij Vaidya, Dmitry Werner, Edoardo Comar, flashmouse, Florin Akermann, Gantigmaa Selenge, Gaurav Narula, Greg Harris, Igor Soarez, ilyazr, Ismael Juma, Jason Gustafson, Jeff Kim, jiangyuan, Joel Hamill, John Yu, Johnny Hsu, José Armando García Sancio, Josep Prat, Jun Rao, Justine Olshan, Kamal Chandraprakash, Ken Huang, Kuan-Po (Cooper) Tseng, Lokesh Kumar, Luke Chen, Manikumar Reddy, Mario Pareja, Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Murali Basani, Omnia Ibrahim, Paolo Patierno, PoAn Yang, Sagar Rao, sanepal, Sean Quah, Sebastian Marsching, Stanislav Kozlovski, Vedarth Sharma, Walker Carlson, Yash Mayya

Apache Kafka 3.6.2 Release Announcement

4 April 2024 - Manikumar Reddy O. (@Manikumar)

We are proud to announce the release of Apache Kafka 3.6.2. This is a bugfix release. It contains 28 fixes. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.6.2 from any version 0.8.x through 3.5.x section in the documentation for the list of notable changes and detailed upgrade steps.

Summary

This was a community effort, so thank you to everyone who contributed to this release:
Akhilesh Chaganti, Andrew Schofield, Anton Liauchuk, Bob Barrett, Bruno Cadonna, Cheng-Kai, Zhang, Chia-Ping Tsai, Chris Egerton, Colin P. McCabe, Colin Patrick McCabe, David Arthur, David Jacot, David Mao, Divij Vaidya, Edoardo Comar, Emma Humber, Gaurav Narula, Greg Harris, hudeqi, Ismael Juma, Jason Gustafson, Jim Galasyn, Joel Hamill, Johnny Hsu, José Armando García Sancio, Justine Olshan, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Mike Lloyd, Paolo Patierno, PoAn Yang, Ron Dagostino, Sagar Rao, Stanislav Kozlovski, Walker Carlson, Yash Mayya

Apache Kafka 3.7.0 Release Announcement

27 February 2024 - Stanislav Kozlovski (@BdKozlovski)

We are proud to announce the release of Apache Kafka 3.7.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.7.0 from any version 0.8.x through 3.6.x section in the documentation for the list of notable changes and detailed upgrade steps.

In the last release, 3.6, the ability to migrate Kafka clusters from a ZooKeeper metadata system to a KRaft metadata system was ready for usage in production environments with one caveat -- JBOD was not yet available for KRaft clusters. In this release, we are shipping an early access release of JBOD in KRaft. (See KIP-858 and the release notes for details).

Additionally, client APIs released prior to Apache Kafka 2.1 are now marked deprecated in 3.7 and will be removed in Apache Kafka 4.0. See KIP-896 for details and RPC versions that are now deprecated.

Java 11 support for the Kafka broker is also marked deprecated in 3.7, and is planned to be removed in Kafka 4.0. See KIP-1013 for more details. Note that clients can continue to use JDK >= 11 to connect to Kafka brokers.

Note: ZooKeeper is marked as deprecated since the 3.5.0 release. ZooKeeper is planned to be removed in Apache Kafka 4.0. For more information, please see the documentation for ZooKeeper Deprecation.

Kafka Broker, Controller, Producer, Consumer and Admin Client

Kafka Streams

  • KIP-925 Rack aware task assignment in Kafka Streams:
    In part one of KIP-925, the min_traffic assignment strategy for Kafka Streams was added. Part two finishes the KIP by introducing the second rack-aware assignment strategy: balanced_subtopology.
  • KIP-954 Expand default DSL store configuration to custom types:
    KIP-954 builds on KIP-591 and allows users to provide a default state store provider for their custom stores. As part of this change, a new interface has been provided along with default support for RocksDB and in-memory state stores.
  • KIP-962 Relax non-null key requirement in Kafka Streams:
    Kafka Streams treated records with null-keys as invalid input for joins and dropped them on the floor. KIP-962 relaxes this behavior for various left-joins and thus allows null-key records to be processed successfully.
  • KIP-988 Streams Standby Update Listener:
    Adds a new interface for handling cases where standby tasks have their a) state stores registered, b) load a batch of records and c) stop updates.
  • KIP-960 / KIP-968 IQ support for Versioned State Stores:
    Version state stores were added in Apache Kafka 3.5 release (KIP-889), but it was not possible so far to query the new stores. KIP-960 and KIP-968 close this gap by adding new query types for IQv2 namely VersionedKeyQuery and MultiVersionedKeyQuery, respectively. Both queries allow you to do lookups for a single key, to ask for the most recent value, a historic value, or a range of historic values for the provided key.
  • KIP-985 Add reverseRange and reverseAll query over kv-store in IQv2:
    IQv2 supports RangeQueries which allow you to query for a range of keys. However, the API did not provide any guarantee about the ordering of the returned result. With KIP-985 it’s now possible to request the result to be ordered (per partition) in either ascending or descending order, or leave the order unspecified.
  • KIP-992 Introduce IQv2 Query Types: TimestampedKeyQuery and TimestampedRangeQuery:
    Finally, KIP-992 adds new timestamped-key and timestamped-range interactive queries for timestamped key-value state stores. This change improves the type safety of the IQv2 API. The existing RangeQuery now always returns only the value if issued against a timestamped key-value store.

Kafka Connect

Summary

Ready to get started with Apache Kafka 3.7.0? Check out all the details in the release notes and download Apache Kafka 3.7.0.

This was a community effort, so thank you to everyone who contributed to this release, including all our users and our 146 contributors:
Abhijeet Kumar, Akhilesh Chaganti, Alieh, Alieh Saeedi, Almog Gavra, Alok Thatikunta, Alyssa Huang, Aman Singh, Andras Katona, Andrew Schofield, Anna Sophie Blee-Goldman, Anton Agestam, Apoorv Mittal, Arnout Engelen, Arpit Goyal, Artem Livshits, Ashwin Pankaj, ashwinpankaj, atu-sharm, bachmanity1, Bob Barrett, Bruno Cadonna, Calvin Liu, Cerchie, chern, Chris Egerton, Christo Lolov, Colin Patrick McCabe, Colt McNealy, Crispin Bernier, David Arthur, David Jacot, David Mao, Deqi Hu, Dimitar Dimitrov, Divij Vaidya, Dongnuo Lyu, Eaugene Thomas, Eduwer Camacaro, Eike Thaden, Federico Valeri, Florin Akermann, Gantigmaa Selenge, Gaurav Narula, gongzhongqiang, Greg Harris, Guozhang Wang, Gyeongwon, Do, Hailey Ni, Hanyu Zheng, Hao Li, Hector Geraldino, hudeqi, Ian McDonald, Iblis Lin, Igor Soarez, iit2009060, Ismael Juma, Jakub Scholz, James Cheng, Jason Gustafson, Jay Wang, Jeff Kim, Jim Galasyn, John Roesler, Jorge Esteban Quilcate Otoya, Josep Prat, José Armando García Sancio, Jotaniya Jeel, Jouni Tenhunen, Jun Rao, Justine Olshan, Kamal Chandraprakash, Kirk True, kpatelatwork, kumarpritam863, Laglangyue, Levani Kokhreidze, Lianet Magrans, Liu Zeyu, Lucas Brutschy, Lucia Cerchie, Luke Chen, maniekes, Manikumar Reddy, mannoopj, Maros Orsak, Matthew de Detrich, Matthias J. Sax, Max Riedel, Mayank Shekhar Narula, Mehari Beyene, Michael Westerby, Mickael Maison, Nick Telford, Nikhil Ramakrishnan, Nikolay, Okada Haruki, olalamichelle, Omnia G.H Ibrahim, Owen Leung, Paolo Patierno, Philip Nee, Phuc-Hong-Tran, Proven Provenzano, Purshotam Chauhan, Qichao Chu, Matthias J. Sax, Rajini Sivaram, Renaldo Baur Filho, Ritika Reddy, Robert Wagner, Rohan, Ron Dagostino, Roon, runom, Ruslan Krivoshein, rykovsi, Sagar Rao, Said Boudjelda, Satish Duggana, shuoer86, Stanislav Kozlovski, Taher Ghaleb, Tang Yunzi, TapDang, Taras Ledkov, tkuramoto33, Tyler Bertrand, vamossagar12, Vedarth Sharma, Viktor Somogyi-Vass, Vincent Jiang, Walker Carlson, Wuzhengyu97, Xavier Léauté, Xiaobing Fang, yangy0000, Ritika Reddy, Yanming Zhou, Yash Mayya, yuyli, zhaohaidao, Zihao Lin, Ziming Deng

Apache Kafka 3.5.2 Release Announcement

11 December 2023 - Luke Chen (@showuon1)

We are proud to announce the release of Apache Kafka 3.5.2. This is a bugfix release. It contains many bug fixes including upgrades the Snappy and Rocksdb dependencies. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.5.2 from any version 0.8.x through 3.4.x section in the documentation for the list of notable changes and detailed upgrade steps.

Summary

This was a community effort, so thank you to everyone who contributed to this release:
A. Sophie Blee-Goldman, Anna Sophie Blee-Goldman, atu-sharm, bachmanity1, Bill Bejeck, Calvin Liu, Chase Thomas, Chris Egerton, Christo Lolov, Colin P. McCabe, Colin Patrick McCabe, David Arthur, David Jacot, Divij Vaidya, Farooq Qaiser, Federico Valeri, flashmouse, Florin Akermann, Greg Harris, Guozhang Wang, Hao Li, hudeqi, Ismael Juma, Jason Gustafson, José Armando García Sancio, Josep Prat, Levani Kokhreidze, lixy, Lucas Brutschy, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mickael Maison, Nick Telford, Okada Haruki, Omnia G.H Ibrahim, Philip Nee, Qichao Chu (@ex172000), Mickael Maison, Rajini Sivaram, Ritika Reddy, Robert Wagner, Rohan, Ron Dagostino, Sagar Rao, Said Boudjelda, sciclon2, Viktor Somogyi-Vass, Vincent Jiang, Xiaobing Fang, Yash Mayya

Apache Kafka 3.6.1 Release Announcement

7 December 2023 - Mickael Maison (@MickaelMaison)

We are proud to announce the release of Apache Kafka 3.6.1. This is a bugfix release. It contains 30 fixes including upgrades to the ZooKeeper and Netty dependencies. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.6.1 from any version 0.8.x through 3.5.x section in the documentation for the list of notable changes and detailed upgrade steps.

Summary

This was a community effort, so thank you to everyone who contributed to this release:
Anna Sophie Blee-Goldman, Arpit Goyal, atu-sharm, Bill Bejeck, Chris Egerton, Colin P. McCabe, David Arthur, David Jacot, Divij Vaidya, Federico Valeri, Greg Harris, Guozhang Wang, Hao Li, hudeqi, iit2009060, Ismael Juma, Jorge Esteban Quilcate Otoya, Josep Prat, Jotaniya Jeel, Justine Olshan, Kamal Chandraprakash, kumarpritam863, Levani Kokhreidze, Lucas Brutschy, Luke Chen, Manikumar Reddy, Matthias J. Sax, Mayank Shekhar Narula, Mickael Maison, Nick Telford, Philip Nee, Qichao Chu, Rajini Sivaram, Robert Wagner, Sagar Rao, Satish Duggana, Walker Carlson, Xiaobing Fang, Yash Mayya

Apache Kafka 3.6.0 Release Announcement

10 Oct 2023 - Satish Duggana (@SatishDuggana)

We are proud to announce the release of Apache Kafka 3.6.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.6.0 from any version 0.8.x through 3.5.x section in the documentation for the list of notable changes and detailed upgrade steps.

The 3.6.0 release marked the first production ready release for the migration of Kafka clusters from a ZooKeeper metadata system to a KRaft metadata system. Users wanting to perform this migration are advised to first upgrade to 3.6.2 or 3.7.1 to receive important bug fixes.

See the ZooKeeper to KRaft migration operations documentation for details. Note that support for JBOD is still not available for KRaft clusters, therefore clusters utilizing JBOD can not be migrated. See KIP-858 for details regarding KRaft and JBOD.

Support for Delegation Tokens in KRaft (KAFKA-15219) was completed in 3.6, further reducing the gap of features between ZooKeeper-based Kafka clusters and KRaft. Migration of delegation tokens from ZooKeeper to KRaft is also included in 3.6.

Tiered Storage is an early access feature. It is currently only suitable for testing in non production environments. See the Early Access Release Notes for more details.

Note: ZooKeeper is marked as deprecated since 3.5.0 release. ZooKeeper is planned to be removed in Apache Kafka 4.0. For more information, please see the documentation for ZooKeeper Deprecation

Kafka Broker, Controller, Producer, Consumer and Admin Client

  • KIP-405: Kafka Tiered Storage (Early Access):
    Introduces Tiered Storage to Kafka. Note that this is an early access feature only advised for use in non-production environments (see the early access notes for more information). This feature provides a separation of computation and storage in the broker for pluggable storage tiering natively in Kafka Tiered Storage brings a seamless extension of storage to remote objects with minimal operational changes.
  • KIP-890: Transactions Server Side Defense (Part 1):
    Hanging transactions can negatively impact your read committed consumers and prevent compacted logs from being compacted. KIP-890 helps address hanging transactions by verifying partition additions. Part 2 of KIP-890 will optimize verification, which currently adds an extra hop.
    In 3.6.0, transaction verification will prevent hanging transactions on data partitions. In the next release, transactional offset commits will also be covered.
  • KIP-797: Accept duplicate listener on port for IPv4/IPv6:
    Until now, Kafka has not supported duplicate listeners on the same port. This works when using only a single IP stack, but presents an issue if you are working with both IPv4 and IPv6. With KIP-797, brokers can be configured with listeners that have the same port on different IP stacks. This update does not affect advertised listeners, which already have this feature.
  • KIP-863: Reduce CompletedFetch#parseRecord() memory copy:
    Reduces memory allocation and improves memory performance during record deserialization by using a ByteBuffer instead of byte[] for deserialization, which improves efficiency. Updated public interfaces include the Deserializer class, ByteBufferDeserializer class, and StringDeserializer class.
  • KIP-868: Metadata Transactions:
    Improves the overall durability of the KRaft layer by adding metadata transactions that consist of:
    • BeginTransaction
    • Number of records
    • EndTransaction or AbortTransaction
    KRaft uses record batches as a mechanism for atomicity. Typically, there was a limit to the fetch size on the Raft consensus layer, and the controller could generate a set of atomic records that exceeded this limit. This update introduces marker records that allow larger sets of atomic records to be sent to the Raft consensus layer in multiple batches. This bypasses the fetch limit.
  • KIP-902: Upgrade Zookeeper to 3.8.2:
    This upgrades the ZooKeeper version that is bundled with Kafka to version 3.8.2. The new version includes several updates and security improvements.
  • KIP-917: Additional custom metadata for remote log segment:
    It introduces having an optional custom metadata as part of remote log segment metadata. RemoteStorageManager returns the optional custom metadata when copyLogSegmentData() is invoked. It will be passed along with remote log segment metadata.
  • KIP-937: Improve Message Timestamp Validation:
    It improves data integrity and prevents potential pitfalls caused by inaccurate timestamp handling by adding more validation logic for message timestamps. While past timestamps are a normal occurrence in Kafka, future timestamps might represent an incorrectly formatted integer. KIP-937 rejects messages with future timestamps and provides a descriptive exemption.
  • KIP-938: Add more metrics for measuring KRaft performance:
    Adds new controller, loader, and snapshot emitter KRaft performance metrics.

Kafka Streams

  • KIP-923: Add A Grace Period to Stream Table Join:
    Adds a grace period to stream-table joins to improve table-side out-of-order data handling. The joined object has a new method called "withGracePeriod" that will cause the table side lookup to only happen after the grace period has passed.
  • KIP-941: Range queries to accept null lower and upper bounds:
    Previously, RangeQuery did not support null to specify “no upper/lower bound”. KIP-941 allows users to pass null into withRange(...) for lower/upper bounds to specify a full or half-open range:
    • `withRange(null, null)` == `withNoBounds()`
    • `withRange(lower, null)` == `withLowerBound(lower)`
    • `withRange(null, upper)` == `withUpperBound(upper)`

Kafka Connect

  • KIP-793: Allow sink connectors to be used with topic-mutating SMTs:
    Adds support for topic-mutating SMTs for async sink connectors. This is to address an incompatibility between sink connectors overriding the SinkTask::preCommit method and SMTs that mutate the topic field of a SinkRecord .
  • KIP-875: First-class offsets support in Kafka Connect:
    Provides first-class admin support for offsets in Kafka Connect. KIP-875 Part 1 added endpoints to get offsets and a new STOPPED state for connectors. The alter offsets and reset offsets endpoints have now been added.
    Action Description
    GET /connectors/{connector}/offsets Retrieve the offsets for a connector; the connector must exist
    PATCH /connectors/{connector}/offsets Alter the offsets for a connector; the connector must exist, and must be in the STOPPED state
    DELETE /connectors/{connector}/offsets Reset the offsets for a connector; the connector must exist, and must be in the STOPPED state
    PUT /connectors/{connector}/pause Pause the connector; the connector must exist
  • KIP-898: Modernize Connect plugin discovery:
    With KIP-898, Connect workers can now read from ServiceLoader manifests and module info directly during startup for more efficient plugin class discovery. Note that this update allows connector developers to add service declarations to their plugins.

Summary

Ready to get started with Apache Kafka 3.6.0? Check out all the details in the release notes and download Apache Kafka 3.6.0.

This was a community effort, so thank you to everyone who contributed to this release, including all our users and our 139 contributors:
A. Sophie Blee-Goldman, Aaron Ai, Abhijeet Kumar, aindriu-aiven, Akhilesh Chaganti, Alexandre Dupriez, Alexandre Garnier, Alok Thatikunta, Alyssa Huang, Aman Singh, Andras Katona, Andrew Schofield, Andrew Grant, Aneel Kumar, Anton Agestam, Artem Livshits, atu-sharm, bachmanity1, Bill Bejeck, Bo Gao, Bruno Cadonna, Calvin Liu, Chaitanya Mukka, Chase Thomas, Cheryl Simmons, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Clay Johnson, Colin P. McCabe, Colt McNealy, d00791190, Damon Xie, Danica Fine, Daniel Scanteianu, Daniel Urban, David Arthur, David Jacot, David Mao, dengziming, Deqi Hu, Dimitar Dimitrov, Divij Vaidya, DL1231, Dániel Urbán, Erik van Oosten, ezio, Farooq Qaiser, Federico Valeri, flashmouse, Florin Akermann, Gabriel Oliveira, Gantigmaa Selenge, Gaurav Narula, GeunJae Jeon, Greg Harris, Guozhang Wang, Hailey Ni, Hao Li, Hector Geraldino, hudeqi, hzh0425, Iblis Lin, iit2009060, Ismael Juma, Ivan Yurchenko, James Shaw, Jason Gustafson, Jeff Kim, Jim Galasyn, John Roesler, Joobi S B, Jorge Esteban Quilcate Otoya, Josep Prat, Joseph (Ting-Chou) Lin, José Armando García Sancio, Jun Rao, Justine Olshan, Kamal Chandraprakash, Keith Wall, Kirk True, Lianet Magrans, LinShunKang, Liu Zeyu, lixy, Lucas Bradstreet, Lucas Brutschy, Lucent-Wong, Lucia Cerchie, Luke Chen, Manikumar Reddy, Manyanda Chitimbo, Maros Orsak, Matthew de Detrich, Matthias J. Sax, maulin-vasavada, Max Riedel, Mehari Beyene, Michal Cabak (@miccab), Mickael Maison, Milind Mantri, minjian.cai, mojh7, Nikolay, Okada Haruki, Omnia G H Ibrahim, Owen Leung, Philip Nee, prasanthV, Proven Provenzano, Purshotam Chauhan, Qichao Chu, Rajini Sivaram, Randall Hauch, Renaldo Baur Filho, Ritika Reddy, Rittika Adhikari, Rohan, Ron Dagostino, Sagar Rao, Said Boudjelda, Sambhav Jain, Satish Duggana, sciclon2, Shekhar Rajak, Sungyun Hur, Sushant Mahajan, Tanay Karmarkar, tison, Tom Bentley, vamossagar12, Victoria Xia, Vincent Jiang, vveicc, Walker Carlson, Yash Mayya, Yi-Sheng Lien, Ziming Deng, 蓝士钦

Apache Kafka 3.5.1 Release Announcement

21 July 2023 - Divij Vaidya (@DivijVaidya)

We are proud to announce the release of Apache Kafka 3.5.1. This is a security patch release. It upgrades the dependency, snappy-java, to a version which is not vulnerable to CVE-2023-34455. You can find more information about the CVE at Kafka CVE list. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.5.1 from any version 0.8.x through 3.4.x section in the documentation for the list of notable changes and detailed upgrade steps.

Kafka Broker, Controller, Producer, Consumer and Admin Client

  • Upgraded the dependency, snappy-java, to a version which is not vulnerable to CVE-2023-34455. You can find more information about the CVE at Kafka CVE list.
  • Fixed a regression introduced in 3.3.0, which caused security.protocol configuration values to be restricted to upper case only. After the fix, security.protocol values are case insensitive. See KAFKA-15053 for details.

Summary

This was a community effort, so thank you to everyone who contributed to this release, including all our users and our 22 authors. Please report an unintended omission.

Alyssa Huang, Aman Singh, andymg3, Bo Gao, Calvin Liu, Chia-Ping Tsai, Chris Egerton, d00791190, Damon Xie, David Arthur, David Jacot, Divij Vaidya, DL1231, ezio, Manikumar Reddy, Manyanda Chitimbo, Mickael Maison, minjian.cai, Proven Provenzano, Sambhav Jain, vamossagar12, Yash Mayya

Apache Kafka 3.5.0 Release Announcement

15 June 2023 - Mickael Maison (@MickaelMaison)

We are proud to announce the release of Apache Kafka 3.5.0. This release contains many new features and improvements. This blog post will highlight some of the more prominent features. For a full list of changes, be sure to check the release notes.

See the Upgrading to 3.5.0 from any version 0.8.x through 3.4.x section in the documentation for the list of notable changes and detailed upgrade steps.

The ability to migrate Kafka clusters from ZK to KRaft mode with no downtime is still an early access feature. It is currently only suitable for testing in non production environments. See KIP-866 for more details.

Note: ZooKeeper is now marked deprecated in this release. ZooKeeper is planned to be removed in Apache Kafka 4.0. (Cf ZooKeeper Deprecation)

Kafka Broker, Controller, Producer, Consumer and Admin Client

  • KIP-881: Rack-aware Partition Assignment for Kafka Consumers: Kafka 3.4.0 only contained the protocol changes for KIP-881. The built-in assignors have now been updated to support rack-awareness.
  • KIP-887: Add ConfigProvider to make use of environment variables: KIP-887 introduces a new ConfigProvider implementation, EnvVarConfigProvider, to retrieve configurations from environment variables.
  • KIP-900: KRaft kafka-storage.sh API additions to support SCRAM for Kafka Brokers: KIP-900 updates the kafka-storage tool and adds a mechanism to configure SCRAM for inter broker authentication with KRaft.
  • KIP-903: Replicas with stale broker epoch should not be allowed to join the ISR: KIP-903 addresses a limitation of the inter broker replication protocol which could lead to data loss in case of a broker failing while another broker had an unclean shutdown.

Kafka Streams

  • KIP-399: Extend ProductionExceptionHandler to cover serialization exceptions: KIP-399 adds a method, handleSerializationException(), to the ProductionExceptionHandler interface to handle any serialization errors encountered while producing records.
  • KIP-889: Versioned State Stores: KIP-889 introduces versioned state stores to improve the accuracy of joins when out of order records are processed.
  • KIP-907: Add Boolean Serde to public interface: Kafka Streams includes built-in Serdes for most primitive types. KIP-907 adds a new one for booleans.

Kafka Connect

  • KIP-710: Full support for distributed mode in dedicated MirrorMaker 2.0 clusters: KIP-710 improves the dedicated mode of MirrorMaker. It now supports running multiple instances and handling automatic reconfigurations.
  • KIP-875: First-class offsets support in Kafka Connect: KIP-875 adds REST API endpoints for managing offset of Connectors. 3.5.0 only contains endpoints for listing offsets. Endpoints for updating and deleting offsets will come in a future release.
  • KIP-894: Use incrementalAlterConfig for syncing topic configurations: With KIP-894, MirrorMaker can use the IncrementalAlterConfig API when mirroring topic configuration between clusters.
  • KAFKA-14021: MirrorMaker 2 should implement KIP-618 APIs: KAFKA-14021 adds support for exactly-once semantics to MirrorSourceConnector.

Summary

This was a community effort, so thank you to everyone who contributed to this release, including all our users and our 103 authors: A. Sophie Blee-Goldman, Akhilesh Chaganti, Alex Sorokoumov, Alexandre Dupriez, Alyssa Huang, Anastasia Vela, Andreas Maechler, andymg3, Artem Livshits, atu-sharm, bachmanity1, Bill Bejeck, Brendan Ribera, Calvin Liu, Chaitanya Mukka, Cheryl Simmons, Chia-Ping Tsai, Chris Egerton, Christo Lolov, Colin P. McCabe, csolidum, Daniel Scanteianu, David Arthur, David Jacot, David Karlsson, David Mao, Dejan Stojadinović, Divij Vaidya, dorwi, drgnchan, Dániel Urbán, Edoardo Comar, egyedt, emilnkrastev, Eric Haag, Farooq Qaiser, Federico Valeri, Gantigmaa Selenge, Greg Harris, Guozhang Wang, Hao Li, Hector Geraldino, Himani Arora, Hoki Min, hudeqi, iamazy, Iblis Lin, Ismael Juma, Ivan Yurchenko, Jakub Scholz, Jason Gustafson, Jeff Kim, Jim Galasyn, Jorge Esteban Quilcate Otoya, Josep Prat, José Armando García Sancio, Juan José Ramos, Junyang Liu, Justine Olshan, Kamal Chandraprakash, Kirk True, Kowshik Prakasam, littlehorse-eng, liuzc9, Lucas Brutschy, Lucia Cerchie, Luke Chen, Manikumar Reddy, Manyanda Chitimbo, Matthew Wong, Matthias J. Sax, Matthias Seiler, Michael Marshall, Mickael Maison, nicolasguyomar, Nikolay, Paolo Patierno, Philip Nee, Pierangelo Di Pilato, Proven Provenzano, Purshotam Chauhan, Qing, Rajini Sivaram, RivenSun, Robert Young, Rohan, Roman Schmitz, Ron Dagostino, Ruslan Krivoshein, Satish Duggana, Shay Elkin, Shekhar Rajak, Simon Woodman, Spacrocket, stejani-cflt, Terry, Tom Bentley, vamossagar12, Victoria Xia, Viktor Somogyi-Vass, Vladimir Korenev, Yash Mayya, Zheng-Xian Li

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