| From: | garry saddington <garry(at)schoolteachers(dot)co(dot)uk> |
|---|---|
| To: | pgsql-general(at)postgresql(dot)org |
| Subject: | counting query |
| Date: | 2007-01-28 13:05:44 |
| Message-ID: | 1169989544.29309.76.camel@localhost |
| Views: | Whole Thread | Raw Message | Download mbox | Resend email |
| Thread: | |
| Lists: | pgsql-general |
I have a table definition such as:
CREATE TABLE attendance
(
attendanceid serial primary key,
entered date DEFAULT current_date NOT NULL,
absent boolean,
authorization text default 'N',
timeperiod char(2) check(timeperiod in('AM','PM')),
days varchar(10),
studentid int,
unique(entered,timeperiod,studentid)
)
Which is used to record school attendance data. I am now trying to write
a query to identify trends in absences by counting the days column and
returning any student that has repeated absences on certain days. I am
struggling to return anything that does not need further manipulation in
Python before being useful.
Does anyone have any ideas?
| From | Date | Subject | |
|---|---|---|---|
| Next Message | Shane Ambler | 2007-01-28 13:39:35 | Re: Predicted lifespan of different PostgreSQL branches |
| Previous Message | Dave Page | 2007-01-28 10:04:45 | Re: Predicted lifespan of different PostgreSQL branches |