Cool. It extends Kylin scenario into Real Time Query.
With Warm regards
Billy Liu
ShaoFeng Shi 于2018年11月2日周五 下午7:17写道：
>
> Hi Gang, I appreciate your hard work!
>
> Ma Gang 于2018年11月1日周四 下午3:29写道：
>
> > Hi ShaoFeng,
> > For streaming ingest/query performance, there is a doc:
> > https://drive.
Hi Gang, I appreciate your hard work!
Ma Gang 于2018年11月1日周四 下午3:29写道：
> Hi ShaoFeng,
> For streaming ingest/query performance, there is a doc:
> https://drive.google.com/file/d/1GSBMpRuVQRmr8Ev2BWvssfMd-Rck9vsH/view?ths=true
> , it is also in the design doc's 'performance' section attached in th
Hi Gang,
Thank you for the information, that is helpful for understanding the
overall design and implementation.
Do you have some statistical information, like performance, throughput,
stability, etc.? Besides, what's the plan of contributing it to the
community? Thanks!
Ma Gang 于2018年11月1日周四
Hi Gang,
The real-time OLAP capability is pretty cool; I have a couple of questions
here:
1) How to bridge the real-time cube with a cube built from Hive? You know,
in Kylin the source type is marked at the table level, which means a table
is either a Hive table, a JDBC table or a streaming table
