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From DB Tsai <dbt...@dbtsai.com.INVALID>
Subject Re: JDK11 Support in Apache Spark
Date Sat, 24 Aug 2019 17:39:31 GMT
Congratulations on the great work!

Sincerely,

DB Tsai
----------------------------------------------------------
Web: https://www.dbtsai.com
PGP Key ID: 42E5B25A8F7A82C1

On Sat, Aug 24, 2019 at 8:11 AM Dongjoon Hyun <dongjoon.hyun@gmail.com> wrote:
>
> Hi, All.
>
> Thanks to your many many contributions,
> Apache Spark master branch starts to pass on JDK11 as of today.
> (with `hadoop-3.2` profile: Apache Hadoop 3.2 and Hive 2.3.6)
>
>     https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/spark-master-test-maven-hadoop-3.2-jdk-11/326/
>     (JDK11 is used for building and testing.)
>
> We already verified all UTs (including PySpark/SparkR) before.
>
> Please feel free to use JDK11 in order to build/test/run `master` branch and
> share your experience including any issues. It will help Apache Spark 3.0.0 release.
>
> For the follow-ups, please follow https://issues.apache.org/jira/browse/SPARK-24417 .
> The next step is `how to support JDK8/JDK11 together in a single artifact`.
>
> Bests,
> Dongjoon.

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