That’s great! ________________________________ From: ☼ R Nair <ravishankar.n...@gmail.com> Sent: Saturday, August 24, 2019 10:57:31 AM To: Dongjoon Hyun <dongjoon.h...@gmail.com> Cc: dev@spark.apache.org <dev@spark.apache.org>; user @spark/'user @spark'/spark users/user@spark <u...@spark.apache.org> Subject: Re: JDK11 Support in Apache Spark
Finally!!! Congrats On Sat, Aug 24, 2019, 11:11 AM Dongjoon Hyun <dongjoon.h...@gmail.com<mailto:dongjoon.h...@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.
