Re: Counting different strings (OK%, FB%) in same table, grouped by week number

I'd code it more general to allow for any user type:

select
   yw, substr(id,1,2) as user_type, count(1)
from
   pref_money
group by
   yw, user_type

You can use some clever pivoting to get the user_types to be columns, but I see no need to waste db cycles.
You can get the report you want by one-pass processing of the above result set.

If you have mountains of data I'd precompute, before insert or during insert by a trigger, the user_type and store it
separately.

Kiriakos
http://www.mockbites.com



On Feb 22, 2012, at 3:36 PM, Alexander Farber wrote:

> Hello,
>
> I have a table holding week numbers (as strings)
> and user ids starting with OK, VK, FB, GG, MR, DE
> (coming through diff. soc. networks to my site):
>
> afarber@www:~> psql
> psql (8.4.9)
> Type "help" for help.
>
> pref=> select * from pref_money;
>
>           id            | money  |   yw
> -------------------------+--------+---------
> OK19644992852           |      8 | 2010-44
> OK21807961329           |    114 | 2010-44
> FB1845091917            |    774 | 2010-44
> OK172682607383          |    -34 | 2010-44
> VK14831014              |     14 | 2010-44
> VK91770810              |   2368 | 2010-44
> DE8341                  |    795 | 2010-44
> VK99736508              |     97 | 2010-44
>
> I'm trying to count those different users.
>
> For one type of users (here Facebook) it's easy:
>
>
> pref=> select yw, count(*) from pref_money
>            where id like 'FB%' group by yw order by yw desc;
>
>   yw    | count
> ---------+-------
> 2012-08 |    32
> 2012-07 |    32
> 2012-06 |    37
> 2012-05 |    46
> 2012-04 |    41
>
> But if I want to have a table displaying all users
> (a column for "FB%", a column for "OK%", etc.) -
> then I either have to perform a lot of copy-paste and
> vim-editing or maybe someone can give me an advice?
>
> I've reread the having-doc at
> http://www.postgresql.org/docs/8.4/static/tutorial-agg.html
> and still can't figure it out...
>
> Thank you
> Alex
>
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