I forgot to hard refresh. thanks
On Fri, May 30, 2014 at 4:18 PM, Patrick Wendell <pwend...@gmail.com> wrote: > It is updated - try holding "Shift + refresh" in your browser, you are > probably caching the page. > > On Fri, May 30, 2014 at 3:46 AM, prabeesh k <prabsma...@gmail.com> wrote: > > Please update the http://spark.apache.org/docs/latest/ link > > > > > > On Fri, May 30, 2014 at 4:03 PM, Margusja <mar...@roo.ee> wrote: > >> > >> Is it possible to download pre build package? > >> > >> > http://mirror.symnds.com/software/Apache/incubator/spark/spark-1.0.0/spark-1.0.0-bin-hadoop2.tgz > >> - gives me 404 > >> > >> Best regards, Margus (Margusja) Roo > >> +372 51 48 780 > >> http://margus.roo.ee > >> http://ee.linkedin.com/in/margusroo > >> skype: margusja > >> ldapsearch -x -h ldap.sk.ee -b c=EE "(serialNumber=37303140314)" > >> > >> > >> On 30/05/14 13:18, Christopher Nguyen wrote: > >>> > >>> Awesome work, Pat et al.! > >>> > >>> -- > >>> Christopher T. Nguyen > >>> Co-founder & CEO, Adatao <http://adatao.com> > >>> linkedin.com/in/ctnguyen <http://linkedin.com/in/ctnguyen> > >>> > >>> > >>> > >>> > >>> On Fri, May 30, 2014 at 3:12 AM, Patrick Wendell <pwend...@gmail.com > >>> <mailto:pwend...@gmail.com>> wrote: > >>> > >>> I'm thrilled to announce the availability of Spark 1.0.0! Spark > 1.0.0 > >>> is a milestone release as the first in the 1.0 line of releases, > >>> providing API stability for Spark's core interfaces. > >>> > >>> Spark 1.0.0 is Spark's largest release ever, with contributions > from > >>> 117 developers. I'd like to thank everyone involved in this > release - > >>> it was truly a community effort with fixes, features, and > >>> optimizations contributed from dozens of organizations. > >>> > >>> This release expands Spark's standard libraries, introducing a new > >>> SQL > >>> package (SparkSQL) which lets users integrate SQL queries into > >>> existing Spark workflows. MLlib, Spark's machine learning library, > is > >>> expanded with sparse vector support and several new algorithms. The > >>> GraphX and Streaming libraries also introduce new features and > >>> optimizations. Spark's core engine adds support for secured YARN > >>> clusters, a unified tool for submitting Spark applications, and > >>> several performance and stability improvements. Finally, Spark adds > >>> support for Java 8 lambda syntax and improves coverage of the Java > >>> and > >>> Python API's. > >>> > >>> Those features only scratch the surface - check out the release > >>> notes here: > >>> http://spark.apache.org/releases/spark-release-1-0-0.html > >>> > >>> Note that since release artifacts were posted recently, certain > >>> mirrors may not have working downloads for a few hours. > >>> > >>> - Patrick > >>> > >>> > >> > > >
