>>>>> "Chuck" == Chuck Martin <clmartin@xxxxxxxxxxxxxxxx> writes:
Chuck> I am trying to create a query that returns all transactions for
Chuck> each person who has a balance over a given amount. I thought
Chuck> HAVING was the answer, but if so, I'm mis-using it. This query
Chuck> returns only transactions exceeding the given amount rather than
Chuck> transactions for people whose balance is over the amount:
[snip]
Chuck> Since that returned the wrong set of records, I created another
Chuck> that returns the correct set of people with balances over the
Chuck> given amount. But I can't figure out how to use this to get all
Chuck> the transactions for people returned by this query:
Chuck> SELECT case_pkey
Chuck> FROM trans,ombcase,status
Chuck> WHERE case_fkey = case_pkey
Chuck> AND status_fkey = status_pkey
Chuck> AND statusopen = 1
Chuck> AND transistrust <> 1
Chuck> AND transcleared <> 1
Chuck> GROUP BY case_pkey
Chuck> HAVING sum(transamount) >= 50
Chuck> ORDER BY case_pkey
Chuck> So how do I get all transactions for each case_pkey?
You can join the result of any subquery as if it were a table, either
with or without using a CTE:
SELECT ...
FROM (select case_pkey from ... having ...) AS cases,
trans
WHERE trans.case_fkey = cases.case_pkey;
(incidentally, please qualify all the column references in your query
with a table name or alias, otherwise people reading your code have no
idea which column is supposed to be in which table)
or with a CTE,
WITH cases AS (select ... from ... having ...)
SELECT ...
FROM cases, trans
WHERE trans.case_fkey = cases.case_pkey;
There's also a third method with window functions instead of GROUP BY,
which is to do something like
SELECT ...
FROM (select ...,
sum(transamount) over (partition by case_pkey) as total_amt
from ...) s
WHERE total_amt > 50;
--
Andrew (irc:RhodiumToad)
