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Posted to dev@kylin.apache.org by Li Yang <li...@apache.org> on 2016/04/04 15:03:29 UTC

Re: update hbase data realtime and query it

Realtime support is on Kylin's roadmap. We can collaborate on this if you
are interested.

The idea is simple. Say current Kylin can do 5 minutes micro batch, then
only need a realtime storage to catch up-to 5 minutes latest data (which
comes after the last batch). Query will hit both realtime storage and cube
storage. In your attempt, the realtime storage is still HBase, but I prefer
it be a new separate table. The realtime storage need to expose interface
for query, which is straightforward given we've done it once.


On Thu, Mar 31, 2016 at 11:54 AM, zeLiu <li...@wanda.cn> wrote:

> thanks hongbin,
>
> It is true that, as you say, the datas must be pre aggregate , or the same
> key will cover each other.
>
> I just refer to the MapReduce code of kylin, add data to the HBase in real
> time, and not a very good idea
>
> The reason for this is that we are all doing two products, a real-time and
> an offline.
> Their front UI are the same, in the past we are to write real-time data
> into
> the mysql,storage offline data use kylin, and this will need to develop new
> interfaces for mysql.
> But if both real-time and off-line are written to the kylin, we can only
> develop an interface for UI.
>
>
> I did a test, the same data, the delay is much smaller than the mysql, The
> average delay is about 6 ms.
> I didn't use the dictionary, because I'm worried that if a new value is not
> found in the dictionary, it will affect the accuracy of the data.
>
> Whether there is a better solution?
>
> the plug-in code: https://github.com/zeliu/kylin-storm-plugin
>
> thanks
>
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> Sent from the Apache Kylin mailing list archive at Nabble.com.
>

Re: update hbase data realtime and query it

Posted by zeLiu <li...@wanda.cn>.
Hi Li Yang,
Thank you for your reply.
I'm looking forward to kylin's real time support.
And I hope it will be able to provide a API to us so that we can write data
to the kylin through the storm process.

Thanks

--
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Sent from the Apache Kylin mailing list archive at Nabble.com.