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From Dongjoon Hyun <dongjoon.h...@gmail.com>
Subject JDK11 Support in Apache Spark
Date Sat, 24 Aug 2019 15:11:16 GMT
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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