Question

Lets say I have table with following columns

1. Client - string.
2. Profit - integer.
3. Deal_Date - date.

I need query that will retrieve sum of profit breakdown by week/month/quater etc.

Expected output for weeks

1 row, sum (profit) of all deals that registered from (03.19.2012 - 03.12.2012).
2 row, sum (profit) of all deals that registered from (03.12.2012 - 03.05.2012).
...
n row, sum (profit) of all deals that registered from (05.17.2011 - 05.10.2011).

NOTE (dates set just for example)

The same for month, years, etc.

Could someone help me with such query?

Btw performance is very important.

Answer 1

This query uses simple date formats to extract the various elements you want to track and analytics to get the sums.

select client
       , yr
       , qtr
       , wk
       , sum ( profit ) over ( partition by client, yr) as yr_profit
       , sum ( profit ) over ( partition by client, yr, qtr) as qtr_profit
       , sum ( profit ) over ( partition by client, yr, wk) as wk_profit
from ( 
         select client
                , profit
                , to_char(deal_date, 'yyyy') as yr
                , to_char(deal_date, 'q') as qt
                , to_char(deal_date, 'ww') as wk
          from your_table )
/

This will produce one row for each row in the current table. So you probebly will want to wrap it in a further outer query which only returns only distinct rows.

A variant would be to use rollup instead. I’m not sure how well that works when the grouping criteria aren’t perfectly hierarchical (weeks don’t fit neatly into quarters).

select client
       , yr
       , qtr
       , wk
       , sum ( profit ) as profit
from ( 
         select client
                , profit
                , to_char(deal_date, 'yyyy') as yr
                , to_char(deal_date, 'q') as qt
                , to_char(deal_date, 'ww') as wk
          from your_table )
group by rollup ( client, yr, qtr, wk )
/