Total Per Day SQL Query Format

Question

I have a table called DollarTransactions in a database, which records purchases. The table has the following fields, which you can see by clicking the link to a screenshot:
http://i33.tinypic.com/vs2byd.jpg
I need to write 3 queries:
1) Total revenue for each day in the month of March 2013. Revenue is measured in "cents" field.
2) Revenue by hour for each day in March 2013
3) User ID of the user who spent the most money in December 2012?
I was working on a query for #1 that went like this:
SELECT trunc(createdDate, 'HH') "Hour", sum(cents)
FROM DollarTransactions
WHERE createdDate BETWEEN 2013-03-01 AND 2013-03-31
GROUP BY trunc(createdDate, 'HH')
But I don't know if that's right, and I'm lost on the other queries. Any help would be really appreciated!
Edited by: 1002073 on Apr 23, 2013 8:28 PM

Answer 1

It is not helpful to post table structures hosted at other websites. Many people might not be able to access them due to firewall restrictions.
I think below queries should resolve your problem:
alter session set nls_date_format = 'DD-Mon-YYYY HH24:MI:SS';
with data as
  select 1 userid, to_date('25-Apr-2013 09:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 100 amt from dual union all
  select 2,to_date('25-Apr-2013 10:01:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 150 amt from dual union all
  select 3,to_date('25-Apr-2013 10:45:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 200 amt from dual union all
  select 4,to_date('25-Apr-2013 11:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 250 amt from dual union all
  select 5,to_date('25-Apr-2013 12:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 300 amt from dual union all
  select 6,to_date('25-Apr-2013 15:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 350 amt from dual union all
  select 7,to_date('25-Apr-2013 20:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 400 amt from dual union all
  select 8,to_date('25-Apr-2013 23:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 450 amt from dual
select trunc(dt, 'DD'), sum(amt) sum_by_date
  from data
group by trunc(dt, 'DD');
with data as
  select 1 userid, to_date('25-Apr-2013 09:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 100 amt from dual union all
  select 2,to_date('25-Apr-2013 10:01:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 150 amt from dual union all
  select 3,to_date('25-Apr-2013 10:45:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 200 amt from dual union all
  select 4,to_date('25-Apr-2013 11:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 250 amt from dual union all
  select 5,to_date('25-Apr-2013 12:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 300 amt from dual union all
  select 6,to_date('25-Apr-2013 15:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 350 amt from dual union all
  select 7,to_date('25-Apr-2013 20:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 400 amt from dual union all
  select 8,to_date('25-Apr-2013 23:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 450 amt from dual
select trunc(dt, 'HH'), sum(amt) sum_by_hour
  from data
group by trunc(dt, 'HH')
order by trunc(dt, 'HH');
with data as
  select 1 userid, to_date('25-Apr-2013 09:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 100 amt from dual union all
  select 2,to_date('25-Apr-2013 10:01:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 150 amt from dual union all
  select 3,to_date('25-Apr-2013 10:45:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 200 amt from dual union all
  select 4,to_date('25-Apr-2013 11:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 250 amt from dual union all
  select 5,to_date('25-Apr-2013 12:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 300 amt from dual union all
  select 6,to_date('25-Apr-2013 15:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 350 amt from dual union all
  select 7,to_date('25-Apr-2013 20:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 400 amt from dual union all
  select 8,to_date('25-Apr-2013 23:00:00', 'DD-Mon-YYYY HH24:MI:SS') dt, 450 amt from dual
select *
  from (
select userid, sum(amt)
  from data
group by userid
order by sum(amt) desc
where rownum = 1;