Great work, Yuming! Happy Holidays. On Wed, Dec 25, 2019 at 9:08 AM Dongjoon Hyun <dongjoon.h...@gmail.com> wrote:
> Indeed! Thank you again, Yuming and all. > > Bests, > Dongjoon. > > > On Tue, Dec 24, 2019 at 13:38 Takeshi Yamamuro <linguin....@gmail.com> > wrote: > >> 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 >> >
