> II) SQL
> ---
>
> The first idea is to ask SQL to do the job with a 'group by' clause:
>
> SELECT area, type, month, SUM(amount), COUNT(*)
> FROM client AS c, invoice AS i
> WHERE c.id=i.client
> GROUP BY area, type, month;
>
> As I am just interested in reading the data, without any transact
> You want to process all invoices to count them
> and to sum up the amounts on a per month/area/type
> basis. The initial data size is in GB, but the
> size of the expected result is in KB (namely 2 data
> for each 100 areas * 12 months * 4 types).
The key to handling large datasets for data min
On Tue, Jul 22, 2003 at 18:39:33 +0200,
Fabien COELHO <[EMAIL PROTECTED]> wrote:
>
> As the resulting table is very small, I wish the optimizer would have
> skipped the sort phase, so as to aggregate the data as they come after the
> join. All may be done on the fly without much additionnal stor
