Thank you all. Happy Holidays! Xiao
On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wgy...@gmail.com> 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 > <https://spark.apache.org/community.html> or JIRA > <https://issues.apache.org/jira/projects/SPARK?selectedItem=com.atlassian.jira.jira-projects-plugin%3Asummary-page> > . > > 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 > -- [image: Databricks Summit - Watch the talks] <https://databricks.com/sparkaisummit/north-america>
