Thanks this is a great news Can you please lemme if dynamic resource allocation is available in spark 2.4?
I’m using spark 2.3.2 on Kubernetes, do I still need to provide executor memory options as part of spark submit command or spark will manage required executor memory based on the spark job size ? On Thu, Nov 8, 2018 at 2:18 PM Marcelo Vanzin <van...@cloudera.com.invalid> wrote: > +user@ > > >> ---------- 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 <dev@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. > > > > -- > Marcelo > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
