On Thu, 27 Jan 2005 13:02:48 -0500, Merlin Moncure
> Alexandre wrote:
> > On Thu, 27 Jan 2005 10:44:45 -0500, Merlin Moncure
> > <[EMAIL PROTECTED]> wrote:
> > > Alexandre wrote:
> > >   Let's start with the normalized result set.
> > >
> > > product_id |  department_id    |  sum
> > > 924           a                   6000
> > > 924           c                   1575
> > > 907           a                   1500
> > > [...]
> >
> Right.  I expanding departments into columns is basically a dead end.
> First of all, SQL is not really designed to do this, and second of all
> (comments continued below)

Ok, I got it. The basic message is to avoid making columns out of rows
like I'm doing right now, that "de-normalizing" in an array is the way
to go. So I should query and get the results in an array then after my
application will parse the array into the good columns. (I'm
developping a software.)

If I still got it wrong, this is because the 'geek' section of my
brain is in vacation: leave a message and when it'll come back, it'll
explain all this to me! :)

So I found the array_accum function in the doc, so I did create it.

CREATE AGGREGATE array_accum (
    sfunc = array_append,
    basetype = anyelement,
    stype = anyarray,
    initcond = '{}'

Then I created this new select:
  array_accum(department_id) as a_department_id,
  array_accum(req_time) as a_req_time
FROM (SELECT * FROM design.product_department_time) AS tmp 
GROUP BY product_id;

It gives:
 product_id | a_department_id |    a_req_time
        924 | {A,C}           | {6000,1575}
        907 | {A,C,D}         | {1500,1500,4575}
        906 | {A,C,D}         | {3000,3000,1935}

So, the performance should be much better using this agregate approach?

No I thing I'll merge the results in my software, unless you think
that at this point doing a LEFT JOIN with my jobs table is the way to
go, beacuse the performance will be good. (Personally I don't know the
answer of this one.)

> If parsing an array string is a pain I happen to have a C++ class handy
> that can compose/decompose a postgresql array string if:
> a: no more than 1 dimension and
> b: array bounds are known
> Let me know if you need it and I'll send it over.

Thank you for your offer. I think parsing an array is the easiest
thing to do for me in all this. :) If I encounter any problem, I'll
drop you a mail.


Alexandre Leclerc

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