Bitfox, This is a great question, however it should be sent as a separate query to the mailing list instead of hijacking the release announcement.
Currently, it might be possible to use these 4 things together but it is just a coincidence that they are all with similar version numbers. They version number is not a requirement or proof of compatibility Take a look at what your project ecosystem components need and then you will figure out which versions of Kafka, Spark, C#, Rust, JavaScript, Ruby, Java, Scala or Python to use for your projects. You can still use Python 3 clients with versions of Kafka in the 2.x series and it should still work if that is what you need. Java 8 support has been deprecated and you should be using Java 11 or 17 for the latest versions of Kafka. I hope this helps but next time if you have a different question from what the current thread is discussing it is proper etiquette to start a new thread instead of hijacking the current thread. This may have been a mistake but I just wanted to point it out. Israel Ekpo Lead Instructor, IzzyAcademy.com https://www.youtube.com/c/izzyacademy https://izzyacademy.com/ On Mon, Jan 24, 2022 at 11:27 PM Bitfox <bit...@bitfox.top> wrote: > Must spark3, kafka3, scala3, python3 work together if my project used these > stacks? > > Thanks > > On Tue, Jan 25, 2022 at 1:04 AM David Jacot <da...@apache.org> wrote: > > > The Apache Kafka community is pleased to announce the release for > > Apache Kafka 3.1.0. > > > > It is a major release that includes many new features, including: > > > > * Apache Kafka supports Java 17 > > * The FetchRequest supports Topic IDs (KIP-516) > > * Extend SASL/OAUTHBEARER with support for OIDC (KIP-768) > > * Add broker count metrics (KIP-748) > > * Differentiate consistently metric latency measured in millis and > > nanos (KIP-773) > > * The eager rebalance protocol is deprecated (KAFKA-13439) > > * Add TaskId field to StreamsException (KIP-783) > > * Custom partitioners in foreign-key joins (KIP-775) > > * Fetch/findSessions queries with open endpoints for > > SessionStore/WindowStore (KIP-766) > > * Range queries with open endpoints (KIP-763) > > * Add total blocked time metric to Streams (KIP-761) > > * Add additional configuration to control MirrorMaker2 internal topics > > naming convention (KIP-690) > > > > You may read a more detailed list of features in the 3.1.0 blog post: > > https://blogs.apache.org/kafka/ > > > > All of the changes in this release can be found in the release notes: > > https://www.apache.org/dist/kafka/3.1.0/RELEASE_NOTES.html > > > > You can download the source and binary release (Scala 2.12 and 2.13) > from: > > https://kafka.apache.org/downloads#3.1.0 > > > > > > > --------------------------------------------------------------------------------------------------- > > > > > > 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 114 contributors to this release! > > > > A. Sophie Blee-Goldman, Alexander Iskuskov, Alexander Stohr, Almog > > Gavra, Andras Katona, Andrew Patterson, Andy Chambers, Andy Lapidas, > > Anna Sophie Blee-Goldman, Antony Stubbs, Arjun Satish, Bill Bejeck, > > Boyang Chen, Bruno Cadonna, CHUN-HAO TANG, Cheng Tan, Chia-Ping Tsai, > > Chris Egerton, Christo Lolov, Colin P. McCabe, Cong Ding, Daniel > > Urban, David Arthur, David Jacot, David Mao, Dmitriy Fishman, Edoardo > > Comar, Ewen Cheslack-Postava, Greg Harris, Guozhang Wang, Igor Soarez, > > Ismael Juma, Israel Ekpo, Ivan Ponomarev, Jakub Scholz, James Galasyn, > > Jason Gustafson, Jeff Kim, Jim Galasyn, JoeCqupt, Joel Hamill, John > > Gray, John Roesler, Jongho Jeon, Jorge Esteban Quilcate Otoya, Jose > > Sancio, Josep Prat, José Armando García Sancio, Jun Rao, Justine > > Olshan, Kalpesh Patel, Kamal Chandraprakash, Kevin Zhang, Kirk True, > > Konstantine Karantasis, Kowshik Prakasam, Leah Thomas, Lee Dongjin, > > Lucas Bradstreet, Luke Chen, Manikumar Reddy, Matthew Wong, Matthias > > J. Sax, Michael Carter, Mickael Maison, Nigel Liang, Niket, Niket > > Goel, Oliver Hutchison, Omnia G H Ibrahim, Patrick Stuedi, Phil > > Hardwick, Prateek Agarwal, Rajini Sivaram, Randall Hauch, René Kerner, > > Richard Yu, Rohan, Ron Dagostino, Ryan Dielhenn, Sanjana Kaundinya, > > Satish Duggana, Sergio Peña, Sherzod Mamadaliev, Stanislav Vodetskyi, > > Ted Yu, Tom Bentley, Tomas Forsman, Tomer Wizman, Uwe Eisele, Victoria > > Xia, Viktor Somogyi-Vass, Vincent Jiang, Walker Carlson, Weisheng > > Yang, Xavier Léauté, Yanwen(Jason) Lin, Yi Ding, Zara Lim, andy0x01, > > dengziming, feyman2016, ik, ik.lim, jem, jiangyuan, kpatelatwork, > > leah, loboya~, lujiefsi, sebbASF, singingMan, vamossagar12, > > wenbingshen > > > > 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 > > >
