Finally, thank you all. Especially, thanks to the release manager, Wenchen!
Bests, Dongjoon. On Thu, Nov 8, 2018 at 11:24 AM Wenchen Fan <cloud0...@gmail.com> wrote: > + user list > > On Fri, Nov 9, 2018 at 2:20 AM Wenchen Fan <cloud0...@gmail.com> wrote: > >> resend >> >> On Thu, Nov 8, 2018 at 11:02 PM Wenchen Fan <cloud0...@gmail.com> wrote: >> >>> >>> >>> ---------- Forwarded message --------- >>> From: Wenchen Fan <cloud0...@gmail.com> >>> Date: Thu, Nov 8, 2018 at 10:55 PM >>> Subject: [ANNOUNCE] Announcing Apache Spark 2.4.0 >>> To: Spark dev list <d...@spark.apache.org> >>> >>> >>> Hi all, >>> >>> Apache Spark 2.4.0 is the fifth release in the 2.x line. This release >>> adds Barrier Execution Mode for better integration with deep learning >>> frameworks, introduces 30+ built-in and higher-order functions to deal with >>> complex data type easier, improves the K8s integration, along with >>> experimental Scala 2.12 support. Other major updates include the built-in >>> Avro data source, Image data source, flexible streaming sinks, elimination >>> of the 2GB block size limitation during transfer, Pandas UDF improvements. >>> In addition, this release continues to focus on usability, stability, and >>> polish while resolving around 1100 tickets. >>> >>> We'd like to thank our contributors and users for their contributions >>> and early feedback to this release. This release would not have been >>> possible without you. >>> >>> To download Spark 2.4.0, head over to the download page: >>> http://spark.apache.org/downloads.html >>> >>> To view the release notes: >>> https://spark.apache.org/releases/spark-release-2-4-0.html >>> >>> Thanks, >>> Wenchen >>> >>> PS: If you see any issues with the release notes, webpage or published >>> artifacts, please contact me directly off-list. >>> >>
