Intersperse daily totals with opening and closing balance

Question

Hi All
Suppose we have a data set (simplified from my query but will suffice)
  select 1 as daynum, 'CR' as trantype, 200 as amount from dual union all
  select 1 as daynum, 'DR' as trantype, -300 as amount from dual union all
  select 2 as daynum, 'CR' as trantype, 800 as amount from dual union all
  select 2 as daynum, 'DR' as trantype, -200 as amount from dual union all
  select 3 as daynum, 'CR' as trantype, 900 as amount from dual union all
  select 3 as daynum, 'DR' as trantype, -500 as amount from dual
)How would you go about getting a result set that looks like:
1, Opening Balance, 0
1, CR, 200
1, DR, -300
1, Closing Balance, -100
2, Opening Balance, -100
2, CR, 800
2, DR, -200
2, Closing Balance, 500
3, Opening Balance, 500
3, CR, 900
3, DR, -500
3, Closing Balance, 900
4, Opening Balance, 900
4, Closing Balance, 900
I'm thinking:
generate an arbitrary number of rows for the number of days I want to report over (in this case, 4)
cross join these with 2 row set of constants "opening" and "closing" balanace
-> I have now an opening and closing balance row for every day
union it with my data so that "opening/CLosing balance" is a type too (and nulls in the amount column)
case when the type is like '%Balance' then sum(amount) over(order by day, orderkind rows unbounded preceding) else amount
(orderkind is a constant 0 for opening, 1 for all the datarows, 2 for closing)
Is it right?
Is there a better way?
Edited by: charred on Apr 1, 2010 7:03 AM

Answer 1

Unless I'm missing something, Tom's answer won't work for more than 4 days?
with t as
    select 1 as daynum, 'CR' as trantype, 200 as amount from dual union all
    select 1 as daynum, 'DR' as trantype, -300 as amount from dual union all
    select 2 as daynum, 'CR' as trantype, 800 as amount from dual union all
    select 2 as daynum, 'DR' as trantype, -200 as amount from dual union all
    select 3 as daynum, 'CR' as trantype, 900 as amount from dual union all
    select 3 as daynum, 'DR' as trantype, -500 as amount from dual union all
    select 4 as daynum, 'CR' as trantype, 900 as amount from dual union all
    select 4 as daynum, 'DR' as trantype, -500 as amount from dual union all
    select 5 as daynum, 'CR' as trantype, 900 as amount from dual union all
    select 5 as daynum, 'DR' as trantype, -500 as amount from dual
  data
  as
  ( select daynum, r
      from (select level daynum from dual connect by level <= 4),
               (select level r from dual connect by level <= 2 )
  select daynum,
         r,
         ttype,
         amt,
         case when ttype in ( 'close', 'open' )
              then sum(samt) over (order by daynum, r)
          end theamount
    from (
  select data.daynum,
         data.r,
         case when (nvl(t.trantype,'CR') = 'CR' and data.r = 1 )
              then 'open'
              when (nvl(t.trantype,'DR') = 'DR' and data.r = 2)
              then 'close'
              else t.trantype
         end ttype,
         case when (t.trantype = 'CR' and r = 2) or (t.trantype = 'DR' and r=1)
              then t.amount
          end amt,
         case when (t.trantype = 'DR' and r = 2)
              then sum(case when r=1 then t.amount end) over (partition by data.daynum)
              else 0
          end samt
  from   t, data
  where data.daynum (+) = t.daynum
  order by daynum, r, decode( ttype, 'open', 1, 'CR', 2, 'DR', 3, 'close', 4 );
    DAYNUM          R TTYPE        AMT  THEAMOUNT
         1          1 open                      0
         1          1 DR          -300          
         1          2 CR           200          
         1          2 close                  -100
         2          1 open                   -100
         2          1 DR          -200          
         2          2 CR           800          
         2          2 close                   500
         3          1 open                    500
         3          1 DR          -500          
         3          2 CR           900          
         3          2 close                   900
         4          1 open                    900
         4          1 DR          -500          
         4          2 CR           900          
         4          2 close                  1300
                      CR                        
                      DR  Here's a solution using partitioned outer join:
with my_tab as (select 1 as daynum, 'CR' as trantype, 200 as amount from dual union all
                select 1 as daynum, 'DR' as trantype, -300 as amount from dual union all
                select 2 as daynum, 'CR' as trantype, 800 as amount from dual union all
                select 2 as daynum, 'DR' as trantype, -200 as amount from dual union all
                select 3 as daynum, 'CR' as trantype, 900 as amount from dual union all
                select 3 as daynum, 'DR' as trantype, -500 as amount from dual union all
                select 4 as daynum, 'CR' as trantype, 900 as amount from dual union all
                select 4 as daynum, 'DR' as trantype, -500 as amount from dual union all
                select 5 as daynum, 'CR' as trantype, 900 as amount from dual union all
                select 5 as daynum, 'DR' as trantype, -500 as amount from dual),
      dummy as (select 1 id, 'Opening Balance' descr from dual union all
                select 2 id, 'CR' descr from dual union all
                select 3 id, 'DR' descr from dual union all
                select 4 id, 'Closing Balance' descr from dual)
select mt.daynum,
       d.descr,
       decode(d.id, 1, 0,
                    2, amount,
                    3, amount,
                    4, amount + lag(amount, 2) over (partition by mt.daynum order by d.id)) amount
from   my_tab mt
       left outer join dummy d partition by (id, descr) on (mt.trantype = d.descr)
where  (d.id = 1 and mt.trantype = 'CR')
or     (d.id = 2 and mt.trantype = 'CR')
or     (d.id = 3 and mt.trantype = 'DR')
or     (d.id = 4 and mt.trantype = 'DR')
order by mt.daynum, d.id;
    DAYNUM DESCR               AMOUNT
         1 Opening Balance          0
         1 CR                     200
         1 DR                    -300
         1 Closing Balance       -100
         2 Opening Balance          0
         2 CR                     800
         2 DR                    -200
         2 Closing Balance        600
         3 Opening Balance          0
         3 CR                     900
         3 DR                    -500
         3 Closing Balance        400
         4 Opening Balance          0
         4 CR                     900
         4 DR                    -500
         4 Closing Balance        400
         5 Opening Balance          0
         5 CR                     900
         5 DR                    -500
         5 Closing Balance        400ETA: And, if there can be any number of CR or DR rows:
with my_tab as (select 1 as daynum, 'CR' as trantype, 200 as amount from dual union all
                select 1 as daynum, 'DR' as trantype, -300 as amount from dual union all
                select 1 as daynum, 'CR' as trantype, 400 as amount from dual union all
                select 1 as daynum, 'DR' as trantype, -500 as amount from dual union all
                select 2 as daynum, 'CR' as trantype, 800 as amount from dual union all
                select 2 as daynum, 'DR' as trantype, -200 as amount from dual union all
                select 3 as daynum, 'CR' as trantype, 900 as amount from dual union all
                select 3 as daynum, 'DR' as trantype, -500 as amount from dual union all
                select 4 as daynum, 'CR' as trantype, 900 as amount from dual union all
                select 5 as daynum, 'CR' as trantype, 900 as amount from dual union all
                select 5 as daynum, 'CR' as trantype, 200 as amount from dual union all
                select 5 as daynum, 'DR' as trantype, -500 as amount from dual union all
                select 6 as daynum, 'DR' as trantype, -200 as amount from dual),
      dummy as (select 1 id, 'Opening Balance' descr from dual union all
                select 2 id, 'CR' descr from dual union all
                select 3 id, 'DR' descr from dual union all
                select 4 id, 'Closing Balance' descr from dual)
select mt.daynum,
       d.descr,
       mt.trantype,
       decode(d.id, 1, 0,
                    2, amount,
                    3, amount,
                    4, sum(decode(d.id, 1, 0, 4, 0, amount)) over (partition by mt.daynum)) amount
from   (select mt1.*, row_number() over (partition by mt1.daynum order by mt1.trantype) rn
        from   my_tab mt1) mt
       left outer join dummy d partition by (id, descr) on (mt.trantype = d.descr)
where  case when d.id = 1 and rn = 1 then 1
            when d.id = 2 and mt.trantype = 'CR' then 1
            when d.id = 3 and mt.trantype = 'DR' then 1
            when d.id = 4 and rn = 1 then 1
            else 0
       end = 1
order by mt.daynum, d.id;
    DAYNUM DESCR           TRANTYPE     AMOUNT
         1 Opening Balance CR                0
         1 CR              CR              400
         1 CR              CR              200
         1 DR              DR             -300
         1 DR              DR             -500
         1 Closing Balance CR             -200
         2 Opening Balance CR                0
         2 CR              CR              800
         2 DR              DR             -200
         2 Closing Balance CR              600
         3 Opening Balance CR                0
         3 CR              CR              900
         3 DR              DR             -500
         3 Closing Balance CR              400
         4 Opening Balance CR                0
         4 CR              CR              900
         4 Closing Balance CR              900
         5 Opening Balance CR                0
         5 CR              CR              900
         5 CR              CR              200
         5 DR              DR             -500
         5 Closing Balance CR              600
         6 Opening Balance DR                0
         6 DR              DR             -200
         6 Closing Balance DR             -200Edited by: Boneist on 16-Apr-2010 17:10