Using outer query result in a subquery in postgresql

Posted by brad on Stack Overflow See other posts from Stack Overflow or by brad
Published on 2011-11-16T00:04:54Z Indexed on 2011/11/16 1:50 UTC
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I have two tables points and contacts and I'm trying to get the average points.score per contact grouped on a monthly basis. Note that points and contacts aren't related, I just want the sum of points created in a month divided by the number of contacts that existed in that month.

So, I need to sum points grouped by the created_at month, and I need to take the count of contacts FOR THAT MONTH ONLY. It's that last part that's tricking me up. I'm not sure how I can use a column from an outer query in the subquery. I tried something like this:

SELECT SUM(score) AS points_sum,
  EXTRACT(month FROM created_at) AS month,
  date_trunc('MONTH', created_at) + INTERVAL '1 month' AS next_month,
  (SELECT COUNT(id) FROM contacts WHERE contacts.created_at <= next_month) as contact_count
FROM points
GROUP BY month, next_month
ORDER BY month

So, I'm extracting the actual month that my points are being summed, and at the same time, getting the beginning of the next_month so that I can say "Get me the count of contacts where their created at is < next_month"

But it complains that column next_month doesn't exist This is understandable as the subquery knows nothing about the outer query. Qualifying with points.next_month doesn't work either.

So can someone point me in the right direction of how to achieve this?

Tables:

Points

score | created_at
10    | "2011-11-15 21:44:00.363423"
11    | "2011-10-15 21:44:00.69667" 
12    | "2011-09-15 21:44:00.773289"
13    | "2011-08-15 21:44:00.848838"
14    | "2011-07-15 21:44:00.924152"

Contacts

id | created_at
6  | "2011-07-15 21:43:17.534777"
5  | "2011-08-15 21:43:17.520828"
4  | "2011-09-15 21:43:17.506452"
3  | "2011-10-15 21:43:17.491848"
1  | "2011-11-15 21:42:54.759225"

sum, month and next_month (without the subselect)

sum | month | next_month
14  | 7     | "2011-08-01 00:00:00"
13  | 8     | "2011-09-01 00:00:00"
12  | 9     | "2011-10-01 00:00:00"
11  | 10    | "2011-11-01 00:00:00"
10  | 11    | "2011-12-01 00:00:00"

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