Monthly sales matrix

Question

select distinct TRANS_counselid,
Decode(upper(months),'APR', total_qty, 0) As April,
Decode(upper(months),'MAY', total_qty, 0) As May,
Decode(upper(months),'JUN', total_qty, 0) As June,
Decode(upper(months),'JUL', total_qty, 0) As July,
Decode(upper(months),'AUG', total_qty, 0) As August,
Decode(upper(months),'SEP', total_qty, 0) As Sept,
Decode(upper(months),'OCT', total_qty, 0) As October,
Decode(upper(months),'NOV', total_qty, 0) As November,
Decode(upper(months),'DEC', total_qty, 0) As December,
Decode(upper(months),'JAN', total_qty, 0) As January,
Decode(upper(months),'FEB', total_qty, 0) As February,
Decode(upper(months),'MAR', total_qty, 0) As March,total_qty
from (select TRANS_counselid,
to_char(TRANS_DATE,'MON') months,
sum(TRANS_AMOUNT) total_qty
from LEGAL_TRANS
group by TRANS_counselid, to_char(TRANS_DATE,'MON'))
This gives me a monthly report in a matrix format but though it gives a monlthy figure in each month for trans_counselid it creates a new row for each month. Is there any way to make it show trans_counselid on only 1 row ?
Thanks in advance

Answer 1

not quite understand what you mean,
some sample data might help.
anyway, this is my guessing
WITH legal_trans as (
  select 1 trans_counselid, to_date('01-01-06','DD-MM-YY') trans_date, 10 trans_amount from dual union all
  select 1 trans_counselid, to_date('01-02-06','DD-MM-YY') trans_date, 20 trans_amount from dual union all
  select 2 trans_counselid, to_date('01-02-06','DD-MM-YY') trans_date, 20 trans_amount from dual union all
  select 3 trans_counselid, to_date('01-03-06','DD-MM-YY') trans_date, 30 trans_amount from dual union all
  select 4 trans_counselid, to_date('01-04-06','DD-MM-YY') trans_date, 40 trans_amount from dual union all
  select 5 trans_counselid, to_date('01-05-06','DD-MM-YY') trans_date, 50 trans_amount from dual union all
  select 6 trans_counselid, to_date('01-06-06','DD-MM-YY') trans_date, 60 trans_amount from dual union all
  select 7 trans_counselid, to_date('01-07-06','DD-MM-YY') trans_date, 70 trans_amount from dual union all
  select 8 trans_counselid, to_date('01-08-06','DD-MM-YY') trans_date, 80 trans_amount from dual union all
  select 9 trans_counselid, to_date('01-09-06','DD-MM-YY') trans_date, 90 trans_amount from dual union all
  select 9 trans_counselid, to_date('01-10-06','DD-MM-YY') trans_date, 90 trans_amount from dual
SELECT DISTINCT trans_counselid,
  SUM(decode(UPPER(MONTHS), '04', total_qty, 0)) AS april,
  SUM(decode(UPPER(MONTHS), '05', total_qty, 0)) AS may,
  SUM(decode(UPPER(MONTHS), '06', total_qty, 0)) AS june,
  SUM(decode(UPPER(MONTHS), '07', total_qty, 0)) AS july,
  SUM(decode(UPPER(MONTHS), '08', total_qty, 0)) AS august,
  SUM(decode(UPPER(MONTHS), '09', total_qty, 0)) AS sept,
  SUM(decode(UPPER(MONTHS), '10', total_qty, 0)) AS october,
  SUM(decode(UPPER(MONTHS), '11', total_qty, 0)) AS november,
  SUM(decode(UPPER(MONTHS), '12', total_qty, 0)) AS december,
  SUM(decode(UPPER(MONTHS), '01', total_qty, 0)) AS january,
  SUM(decode(UPPER(MONTHS), '02', total_qty, 0)) AS february,
  SUM(decode(UPPER(MONTHS), '03', total_qty, 0)) AS march,
  SUM(total_qty) total_qty
FROM
  ( SELECT trans_counselid,
      to_char(trans_date, 'MM') MONTHS,
      SUM(trans_amount) total_qty
    FROM legal_trans
    GROUP BY trans_counselid,
             to_char(trans_date, 'MM') )
GROUP BY trans_counselid
ORDER BY trans_counselid
TRANS_COUNSELID        APRIL                  MAY                    JUNE                   JULY                   AUGUST                 SEPT                   OCTOBER                NOVEMBER               DECEMBER               JANUARY                FEBRUARY               MARCH                  TOTAL_QTY             
1                      0                      0                      0                      0                      0                      0                      0                      0                      0                      10                     20                     0                      30                    
2                      0                      0                      0                      0                      0                      0                      0                      0                      0                      0                      20                     0                      20                    
3                      0                      0                      0                      0                      0                      0                      0                      0                      0                      0                      0                      30                     30                    
4                      40                     0                      0                      0                      0                      0                      0                      0                      0                      0                      0                      0                      40                    
5                      0                      50                     0                      0                      0                      0                      0                      0                      0                      0                      0                      0                      50                    
6                      0                      0                      60                     0                      0                      0                      0                      0                      0                      0                      0                      0                      60                    
7                      0                      0                      0                      70                     0                      0                      0                      0                      0                      0                      0                      0                      70                    
8                      0                      0                      0                      0                      80                     0                      0                      0                      0                      0                      0                      0                      80                    
9                      0                      0                      0                      0                      0                      90                     90                     0                      0                      0                      0                      0                      180                   
9 rows selected