Great job everyone !! Do we have any tentative GA dates yet? Thanks and Regards, Ajay.
On Tue, Dec 24, 2019 at 5:11 PM Star <s...@fallenstar.xyz> wrote: > Awesome work. Thanks and happy holidays~! > > > On 2019-12-25 04:52, Yuming Wang wrote: > > Hi all, > > > > To enable wide-scale community testing of the upcoming Spark 3.0 > > release, the Apache Spark community has posted a new preview release > > of Spark 3.0. This preview is not a stable release in terms of either > > API or functionality, but it is meant to give the community early > > access to try the code that will become Spark 3.0. If you would like > > to test the release, please download it, and send feedback using > > either the mailing lists [1] or JIRA [2]. > > > > There are a lot of exciting new features added to Spark 3.0, including > > Dynamic Partition Pruning, Adaptive Query Execution, Accelerator-aware > > Scheduling, Data Source API with Catalog Supports, Vectorization in > > SparkR, support of Hadoop 3/JDK 11/Scala 2.12, and many more. For a > > full list of major features and changes in Spark 3.0.0-preview2, > > please check the > > thread( > http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-feature-list-and-major-changes-td28050.html > > and > > > http://apache-spark-developers-list.1001551.n3.nabble.com/Spark-3-0-preview-release-2-td28491.html > ). > > > > 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 3.0.0-preview2, head over to the download page: > > https://archive.apache.org/dist/spark/spark-3.0.0-preview2 > > > > Happy Holidays. > > > > Yuming > > > > Links: > > ------ > > [1] https://spark.apache.org/community.html > > [2] > > > https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
