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From Xiao Li <lix...@databricks.com>
Subject Re: [ANNOUNCE] Announcing Apache Spark 3.0.0-preview2
Date Tue, 24 Dec 2019 21:00:37 GMT
Thank you all. Happy Holidays!

Xiao

On Tue, Dec 24, 2019 at 12:53 PM Yuming Wang <wgyumg@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
>


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