Using this JIRA to track: https://issues.apache.org/jira/browse/KYLIN-679
Thanks. Best Regards! --------------------- Luke Han 2015-04-11 9:15 GMT+08:00 Li Yang <[email protected]>: > Spark could improve cube build greatly when the data fits in memory. We > have the extension point in design already. If anyone like to contribute > effort here, let us know. > > On Thu, Apr 9, 2015 at 10:35 PM, Luke Han <[email protected]> wrote: > > > Subscribe this mailing list, follow up @ApacheKylin twitter. > > The Kylin website also under refactoring to add more content about such > > materials, coming soon. > > > > Thanks. > > > > > > Best Regards! > > --------------------- > > > > Luke Han > > > > 2015-04-09 21:14 GMT+08:00 林澍荣 <[email protected]>: > > > > > Thanks, Luke! but how do I get such materials in the future? > > > > > > 2015-04-09 16:59 GMT+08:00 Luke Han <[email protected]>: > > > > > > > Hi Rong, > > > > Spark is actually hot topic around Kylin, please refer to my > > > > presentation last month on Spark Meetup bay area: > > > > > > > > > > > > > > > > > > http://www.slideshare.net/lukehan/adding-spark-support-to-kylin-spark-meetupv11 > > > > > > > > We also would like to have more comments, inputs and ideas from > > > > community to adding Spark support in Kylin. > > > > > > > > Thanks. > > > > > > > > Luke > > > > > > > > > > > > Best Regards! > > > > --------------------- > > > > > > > > Luke Han > > > > > > > > 2015-04-09 16:34 GMT+08:00 林澍荣 <[email protected]>: > > > > > > > > > I have a question, why does Kylin not use Spark for cube building > > job? > > > > > Spark features DAG and in-memory computing, and these features will > > > > improve > > > > > the cube building speed that is under mapreduce. > > > > > Thanks for any response, Shon > > > > > > > > > > > > > > >
