I have heard that analytic functions can give a performance boost and want
to actually time a standard query versus an analytic query which returns
the exact same data. Thus the need for the same query as an analytic
function query. So all I want to do is to translate the query using
analytic functions and see if it's faster.
JusungYang_at_yahoo.com (Jusung Yang) wrote in message news:<130ba93a.0302181557.126a1de6_at_posting.google.com>...
> Why converting? Is you query not giving you the results you want? If
> it is, there is no reason to convert. If it is not, then explain what
> you need and people will be able to help you. Analytical functions
> give you particular fomat of output which may or may not be what you
> are after. It is neat but not a magic bullet.
>
>
> - Jusung Yang
>
>
> udo456_at_yahoo.com (Udo Diekmann) wrote in message news:<5757f268.0302181059.7b98c9d9_at_posting.google.com>...
> > I got a basic query that I need to turn into a analytic function query.
> >
> > Can someone help me translate it? I tried several ideas (using over() etc.
> > but I'm no guru at this and have failed). I'm sure it's simple.
> >
> > Here is a normal query that I need to translate as an analytic function query:
> >
> > select dev1.sales_div_no, dev1.sales_div_name,
> > sum(fact.t_total_sales_units) "T UNITS",
> > sum(fact.l_total_sales_units) "L UNITS"
> > from dim_dev1_plan dev1, fact_weekly_plan fact
> > where dev1.dev1_id=fact.dev1_id
> > and fact.per_id between 440 and 540
> > and dev1.sales_div_no between 300 and 500
> > group by dev1.sales_div_no, dev1.sales_div_name
> > order by dev1.sales_div_no, dev1.sales_div_name;
> >
> > Thanks in advance for any assistance.
> >
> > Udo.
Received on Wed Feb 19 2003 - 16:51:00 CST
