Cool, congrats! Bests, Takeshi
On Mon, Aug 26, 2019 at 1:01 PM Hichame El Khalfi <hich...@elkhalfi.com> wrote: > That's Awesome !!! > > Thanks to everyone that made this possible :cheers: > > Hichame > > *From:* cloud0...@gmail.com > *Sent:* August 25, 2019 10:43 PM > *To:* lix...@databricks.com > *Cc:* felixcheun...@hotmail.com; ravishankar.n...@gmail.com; > dongjoon.h...@gmail.com; dev@spark.apache.org; u...@spark.apache.org > *Subject:* Re: JDK11 Support in Apache Spark > > Great work! > > On Sun, Aug 25, 2019 at 6:03 AM Xiao Li <lix...@databricks.com> 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 <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> >> > -- --- Takeshi Yamamuro
