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.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. --------------------------------------------------------------------- To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
