Thank you for your contributions! This is a great feature for Spark 3.0! We finally achieve it!
Xiao On Sat, Aug 24, 2019 at 12:18 PM Felix Cheung <felixcheun...@hotmail.com> wrote: > 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> > 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. >> > -- [image: Databricks Summit - Watch the talks] <https://databricks.com/sparkaisummit/north-america>
