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From Li Yang <liy...@apache.org>
Subject Re: Suggestion required for Modelling with Kylin
Date Tue, 03 Mar 2015 08:02:03 GMT
I try to be more specific on top of Luke's answers. :-)

      2) I understand Kylin has a roadmap of supporting streams , what kind
be source inputs for streaming Kylin has considered , is it only storm ? or
also such as spark streaming  or can it also support stream of Json encoded
data over http ?
      L: Streaming source should not be limited by Kylin, we will thinking
about to support more generic interface
      Y: There will be extension point to accommodate different transport
protocols and record parsers. For the first impl, we take Kafka as input
stream (you may add storm before Kafka if make sense), and Avro as record
schema (a common choice of Hadoop users). Support of Json over http will
very likely require your in house effort.

      3) What latency of queries I can expect if I have to query specific
records over a day , month or year.
      L: More filter condition, more efficiency with Kylin cube.
      Y: <5 seconds assuming return a few thousands rows. Kylin is not
designed for ETL purpose, returning millions of rows is not our goal.

Cheers
Yang

On Mon, Mar 2, 2015 at 8:44 PM, Luke Han <luke.hq@gmail.com> wrote:

> Hi Santosh,
>     Your requirement actually is very typical case for near real-time +
> historical analytics. Split data into different storage will be our
> solution for it: Support streaming to handle near real-time data (we are
> working on, coming with v0.7.x release), current batch job to pre-calculate
> daily/weekly/monthly... data into cube for historical data (already there).
>     Could you please share more detail with us for your case? It's perfect
> to pilot with your data and query for our new design.
>
>     Please refer to below answers for your questions:
>
>       1) If I model my running data as fact table then this table will get
> refresh quite often like every 15 mins , what will be impact of cube
> building at such short refresh levels.
>        L: Cube build process just read once for each incremental build, it
> depends on Hive. And, I think to leverage streaming is more make sense for
> such frequency updating data.
>
>       2) I understand Kylin has a roadmap of supporting streams , what kind
> be source inputs for streaming Kylin has considered , is it only storm ? or
> also such as spark streaming  or can it also support stream of Json encoded
> data over http ?
>       L: Streaming source should not be limited by Kylin, we will thinking
> about to support more generic interface
>
>       3) What latency of queries I can expect if I have to query specific
> records over a day , month or year.
>      L: More filter condition, more efficiency with Kylin cube.
>
> Looking forward for your cases story with Kylin.
> Thank you very much.
> Luke
>
>
>
> Best Regards!
> ---------------------
>
> Luke Han
>
> 2015-03-02 20:01 GMT+08:00 Santoshakhilesh <santosh.akhilesh@huawei.com>:
>
> > Dear All ,
> >
> >
> >
> >       I work for a telecom major in NMS/OSS domain.
> >
> >       We have product which is responsible for performance monitoring of
> > network.
> >
> >
> >
> >       I have been assigned to evaluate Kylin for multi dimension queries.
> >
> >
> >
> >       My Use case is as below.
> >
> >
> >
> >       I collect performance indicator data from network elements every 15
> > minutes , network elsements can be card , interface , device etc..
> >
> >       I have a aggergation engine which does object aggergation every 15
> > minutes and time aggergation evry hour , day , week , month , year.
> >
> >
> >
> >       These dynamic datas need to be shown as report to user , which
> might
> > be interested in difefrent views.
> >
> >       a) Total traffic by area
> >
> >       b) Total bandwidth usage in particular area
> >
> >       c) Total tarffic by service type like 3G , 2G , etc...
> >
> >       d) Total bandwidth usage by user etc...
> >
> >
> >
> >
> >
> >      So basically the raw data collected at 15 minutes and time
> aggergated
> > by hourly , daily , weekly , yearly , I need to show the report by
> > different dimensions like area , service type , user etc.. Our dimensions
> > will be small but the raw data is large like every 15 minutes I will
> > collect from around 10 M resources and each resource will have 10-15
> > indicators.
> >
> >
> >
> >       I have following queries;
> >
> >
> >
> >       1) If I model my running data as fact table then this table will
> get
> > refresh quite often like every 15 mins , what will be impact of cube
> > building at such short refresh levels.
> >
> >       2) I understand Kylin has a roadmap of supporting streams , what
> > kind be source inputs for streaming Kylin has considered , is it only
> storm
> > ? or also such as spark streaming  or can it also support stream of Json
> > encoded data over http ?
> >
> >       3) What latency of queries I can expect if I have to query specific
> > records over a day , month or year.
> >
> >
> >
> >      Any sugegstion regarding this is welcome.
> >
> >
> >
> >
> >
> >
> >
> > Regards,
> > Santosh Akhilesh
> > Bangalore R&D
> > HUAWEI TECHNOLOGIES CO.,LTD.
> >
> > www.huawei.com
> >
> >
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