Ryan, thanks. 

As I read about data warehouse proper way do it is a star scheme, question 
is H2 (RDBMS) are designed for that and can handle it? I have experience 
with graph DB, but load, like for a one day is very slow. 

Here is my thinking about H2 tables. Have a couple of tables for (30 min, 
day, week, month, year) for quick load, and detailed information will be 
retrieved from 30 min table, I just wary about number of rows there... 
Maybe better use column oriented DB. 


Regards,
Valentin. 

среда, 20 апреля 2016 г., 19:06:09 UTC+3 пользователь Kartweel написал:
>
> Hi,
>
> You could make it work with that, but it would depend massively on how you 
> architect your system. You won't just be able to put the records in a 
> database and then query it with any kind of scalability and performance 
> expectations.
>
> Ryan
>
>
>
> On 20/04/2016 10:12 PM, Valentin Popov wrote:
>
> Hello everyone.  
>
> I need write analytics of mail flow in a company for domains and users. 
> Analytics should contains traffic size/count, attachments size/count, 
> attachments type, with directions (in/out/internal) with granularity 
> threshold of 30 minutes. Company with 50 000 employers 50 messages day each 
> ~ 2 500 000 records day minus some granularity of 30 minutes. Each of 50 
> 000 employers has average 100 external contacts, so it will be 5 000 000 
> users table. Analytics for such thing should be years... Like zabbix or 
> nagios. 
>
> Is H2 can handle this? 
>
> Thanks for help.
>
> Regards, 
> Valentin. 
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