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
