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 >
