Group by rollup

Question

I have below data:
create table t_book_sales ( f_book_name VARCHAR2(200), f_sale_date DATE );
INSERT INTO t_book_sales VALUES ( 'A', '05-JAN-11');
INSERT INTO t_book_sales VALUES ( 'B', '06-JAN-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-JAN-11');
INSERT INTO t_book_sales VALUES ( 'A', '01-APR-11');
INSERT INTO t_book_sales VALUES ( 'A', '05-APR-11');
INSERT INTO t_book_sales VALUES ( 'B', '06-APR-11');
INSERT INTO t_book_sales VALUES ( 'A', '01-JUL-11');
INSERT INTO t_book_sales VALUES ( 'A', '05-JUL-11');
INSERT INTO t_book_sales VALUES ( 'A', '08-JUL-11');
INSERT INTO t_book_sales VALUES ( 'A', '10-JUL-11');
INSERT INTO t_book_sales VALUES ( 'B', '15-JUL-11');
INSERT INTO t_book_sales VALUES ( 'B', '20-JUL-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-SEP-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-SEP-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-SEP-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-OCT-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-OCT-11');
INSERT INTO t_book_sales VALUES ( 'C', '07-OCT-11');
commit;
I am using following query :
   SELECT   'Q' || to_char(trunc(f_sale_date, 'Q'), 'Q') QTR, f_book_name, count(1)
      FROM   t_book_sales
--  group by  f_sale_date, f_book_name
    GROUP BY ROLLUP  ( trunc(f_sale_date, 'Q'), f_book_name); But here, I need to display counts as
Q1 = Q1, Q2 = Q1+ Q2 , Q3 = Q1+ Q2+ Q3, Q4 = Q1+ Q2 + Q3 + Q4
Any ideas appreciated.

Answer 1

Hi,
Variation on Frank's answer just for the fun learning :
+[edit]+
Well, I just realized it's no variation at all actually. It's just the default windowing clause of analytics.
If you're looking for me I'll be at the coffee machine...
+[edit]+
Scott@my11g SQL>!cat afiedt.buf
with t_book_sales(f_book_name, f_sale_date) as (
select 'A', to_date('05-JAN-11','dd-MON-YY') from dual
union select 'B', to_date('06-JAN-11','dd-MON-YY') from dual
union select 'C', to_date('07-JAN-11','dd-MON-YY') from dual
union select 'A', to_date('01-APR-11','dd-MON-YY') from dual
union select 'A', to_date('05-APR-11','dd-MON-YY') from dual
union select 'B', to_date('06-APR-11','dd-MON-YY') from dual
union select 'A', to_date('01-JUL-11','dd-MON-YY') from dual
union select 'A', to_date('05-JUL-11','dd-MON-YY') from dual
union select 'A', to_date('08-JUL-11','dd-MON-YY') from dual
union select 'A', to_date('10-JUL-11','dd-MON-YY') from dual
union select 'B', to_date('15-JUL-11','dd-MON-YY') from dual
union select 'B', to_date('20-JUL-11','dd-MON-YY') from dual
union select 'C', to_date('07-SEP-11','dd-MON-YY') from dual
union select 'C', to_date('07-SEP-11','dd-MON-YY') from dual
union select 'C', to_date('07-SEP-11','dd-MON-YY') from dual
union select 'C', to_date('07-OCT-11','dd-MON-YY') from dual
union select 'C', to_date('07-OCT-11','dd-MON-YY') from dual
union select 'C', to_date('07-OCT-11','dd-MON-YY') from dual
------ end of sample data ------
SELECT
     qtr
     ,this_qtr
     ,SUM(this_qtr) OVER (PARTITION BY f_book_name ORDER BY qtr ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) so_far
from (
     SELECT    TO_CHAR ( TRUNC (f_sale_date, 'Q')
                 , 'YYYY "Q"Q'
                 )               AS qtr
     ,       f_book_name
     ,       COUNT (*)               AS this_qtr
     FROM      t_book_sales
     GROUP BY  TRUNC (f_sale_date, 'Q')
     ,       f_book_name
order by f_book_name, qtr
Scott@my11g SQL>/
QTR       THIS_QTR     SO_FAR
2011 Q1          1          1
2011 Q2          2          3
2011 Q3          4          7
2011 Q1          1          1
2011 Q2          1          2
2011 Q3          2          4
2011 Q1          1          1
2011 Q3          1          2
2011 Q4          1          3
9 rows selected.:-)
Edited by: Nicosa on Jul 19, 2012 3:13 PM