Great work, Yuming! Bests, Takeshi
On Wed, Dec 25, 2019 at 6:00 AM Xiao Li <lix...@databricks.com> wrote: > 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> > -- --- Takeshi Yamamuro
