Try to clear your browsing data or use a different web browser. Enjoy it,
Xiao On Thu, Nov 8, 2018 at 4:15 PM Reynold Xin <r...@databricks.com> wrote: > Do you have a cached copy? I see it here > > http://spark.apache.org/downloads.html > > > > On Thu, Nov 8, 2018 at 4:12 PM Li Gao <ligao...@gmail.com> wrote: > >> this is wonderful ! >> I noticed the official spark download site does not have 2.4 download >> links yet. >> >> On Thu, Nov 8, 2018, 4:11 PM Swapnil Shinde <swapnilushi...@gmail.com >> wrote: >> >>> Great news.. thank you very much! >>> >>> On Thu, Nov 8, 2018, 5:19 PM Stavros Kontopoulos < >>> stavros.kontopou...@lightbend.com wrote: >>> >>>> Awesome! >>>> >>>> On Thu, Nov 8, 2018 at 9:36 PM, Jules Damji <dmat...@comcast.net> >>>> wrote: >>>> >>>>> Indeed! >>>>> >>>>> Sent from my iPhone >>>>> Pardon the dumb thumb typos :) >>>>> >>>>> On Nov 8, 2018, at 11:31 AM, Dongjoon Hyun <dongjoon.h...@gmail.com> >>>>> wrote: >>>>> >>>>> Finally, thank you all. Especially, thanks to the release manager, >>>>> Wenchen! >>>>> >>>>> Bests, >>>>> Dongjoon. >>>>> >>>>> >>>>> On Thu, Nov 8, 2018 at 11:24 AM Wenchen Fan <cloud0...@gmail.com> >>>>> wrote: >>>>> >>>>>> + user list >>>>>> >>>>>> On Fri, Nov 9, 2018 at 2:20 AM Wenchen Fan <cloud0...@gmail.com> >>>>>> wrote: >>>>>> >>>>>>> resend >>>>>>> >>>>>>> On Thu, Nov 8, 2018 at 11:02 PM Wenchen Fan <cloud0...@gmail.com> >>>>>>> wrote: >>>>>>> >>>>>>>> >>>>>>>> >>>>>>>> ---------- Forwarded message --------- >>>>>>>> From: Wenchen Fan <cloud0...@gmail.com> >>>>>>>> Date: Thu, Nov 8, 2018 at 10:55 PM >>>>>>>> Subject: [ANNOUNCE] Announcing Apache Spark 2.4.0 >>>>>>>> To: Spark dev list <dev@spark.apache.org> >>>>>>>> >>>>>>>> >>>>>>>> Hi all, >>>>>>>> >>>>>>>> Apache Spark 2.4.0 is the fifth release in the 2.x line. This >>>>>>>> release adds Barrier Execution Mode for better integration with deep >>>>>>>> learning frameworks, introduces 30+ built-in and higher-order >>>>>>>> functions to >>>>>>>> deal with complex data type easier, improves the K8s integration, along >>>>>>>> with experimental Scala 2.12 support. Other major updates include the >>>>>>>> built-in Avro data source, Image data source, flexible streaming sinks, >>>>>>>> elimination of the 2GB block size limitation during transfer, Pandas >>>>>>>> UDF >>>>>>>> improvements. In addition, this release continues to focus on >>>>>>>> usability, >>>>>>>> stability, and polish while resolving around 1100 tickets. >>>>>>>> >>>>>>>> We'd like to thank our contributors and users for their >>>>>>>> contributions and early feedback to this release. This release would >>>>>>>> not >>>>>>>> have been possible without you. >>>>>>>> >>>>>>>> To download Spark 2.4.0, head over to the download page: >>>>>>>> http://spark.apache.org/downloads.html >>>>>>>> >>>>>>>> To view the release notes: >>>>>>>> https://spark.apache.org/releases/spark-release-2-4-0.html >>>>>>>> >>>>>>>> Thanks, >>>>>>>> Wenchen >>>>>>>> >>>>>>>> PS: If you see any issues with the release notes, webpage or >>>>>>>> published artifacts, please contact me directly off-list. >>>>>>>> >>>>>>> >>>> >>>> >>>> >>>> -- [image: Spark+AI Summit North America 2019] <http://t.sidekickopen24.com/s1t/c/5/f18dQhb0S7lM8dDMPbW2n0x6l2B9nMJN7t5X-FfhMynN2z8MDjQsyTKW56dzQQ1-_gV6102?t=https%3A%2F%2Fdatabricks.com%2Fsparkaisummit%2Fnorth-america&si=undefined&pi=406b8c9a-b648-4923-9ed1-9a51ffe213fa>
