Join query result of 2 different tables based on common column I want to join the result of two different queries from two different tables based on a common column (which is named differently in the two tables) but I cant seem to figure out the easy way to do it. I'm using psycopg2 on python 3.5.

From the first table, I need the Count of meetings. So I do:

SELECT   user_id,COUNT(1) as num
FROM     tasks
WHERE    created_at BETWEEN %s and %s
GROUP BY user_id """,(DAYS_AGO_7_CONFIG,YESTERDAY))


This gives me 

UserID | Number
1      |  123
2      |  12


UserID is my mutual column. Now I made userID into a list by list comprehension, then I do:

SELECT id, given_name,family_name,email FROM users WHERE id in +str(userID))


and I get the id, given_name, family_name, and email fields from the second table.

Now I need to add the Number column into this result, which I'm doing by very inefficient non-DB means (pandas library in python)

I'm pretty sure this entire thing can be done in one query (perhaps with union?), but I cant seem to work it out.

Intended output:

id | given_name | family_name | email | Number
You can do it with:

SELECT   u.id, u.given_name, u.family_name, u.email, COUNT(1) as num
FROM     users u JOIN tasks t
          ON (u.id=t.user_id)
WHERE    t.created_at BETWEEN %s and %s
GROUP BY u.id, u.given_name, u.family_name, u.email, (DAYS_AGO_7_CONFIG,YESTERDAY))


To address the question in the comments, you can add a HAVING clause after GROUP BY to limit the results to those where num is greater than 5:

HAVING   COUNT(1)&gt;5