That's Awesome !!! Thanks to everyone that made this possible :cheers:
Hichame From: [email protected] Sent: August 25, 2019 10:43 PM To: [email protected] Cc: [email protected]; [email protected]; [email protected]; [email protected]; [email protected] Subject: Re: JDK11 Support in Apache Spark Great work! On Sun, Aug 25, 2019 at 6:03 AM Xiao Li <[email protected]<mailto:[email protected]>> wrote: 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 <[email protected]<mailto:[email protected]>> wrote: That’s great! ________________________________ From: ☼ R Nair <[email protected]<mailto:[email protected]>> Sent: Saturday, August 24, 2019 10:57:31 AM To: Dongjoon Hyun <[email protected]<mailto:[email protected]>> Cc: [email protected]<mailto:[email protected]> <[email protected]<mailto:[email protected]>>; user @spark/'user @spark'/spark users/user@spark <[email protected]<mailto:[email protected]>> Subject: Re: JDK11 Support in Apache Spark Finally!!! Congrats On Sat, Aug 24, 2019, 11:11 AM Dongjoon Hyun <[email protected]<mailto:[email protected]>> 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. -- [Databricks Summit - Watch the talks]<https://databricks.com/sparkaisummit/north-america>
