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 > > > > > > > > > >
