Test case:
CREATE TABLE tbl (date date, email text);
INSERT INTO tbl VALUES
('2012-01-01', 'test@test.com')
, ('2012-01-01', 'test1@test.com')
, ('2012-01-01', 'test2@test.com')
, ('2012-01-02', 'test1@test.com')
, ('2012-01-02', 'test2@test.com')
, ('2012-01-03', 'test@test.com')
, ('2012-01-04', 'test@test.com')
, ('2012-01-05', 'test@test.com')
, ('2012-01-05', 'test@test.com')
, ('2012-01-06', 'test@test.com')
, ('2012-01-06', 'test@test.com')
, ('2012-01-06', 'test1@test.com`')
;
Query - returns only days where an entry exists in tbl
:
SELECT date
,(SELECT count(DISTINCT email)
FROM tbl
WHERE date BETWEEN t.date - 2 AND t.date -- period of 3 days
) AS dist_emails
FROM tbl t
WHERE date BETWEEN '2012-01-01' AND '2012-01-06'
GROUP BY 1
ORDER BY 1;
Or - return all days in the specified range, even if there are no rows for the day:
SELECT date
,(SELECT count(DISTINCT email)
FROM tbl
WHERE date BETWEEN g.date - 2 AND g.date
) AS dist_emails
FROM (SELECT generate_series(timestamp '2012-01-01'
, timestamp '2012-01-06'
, interval '1 day')::date) AS g(date);
db<>fiddle here
Result:
day | dist_emails
-----------+------------
2012-01-01 | 3
2012-01-02 | 3
2012-01-03 | 3
2012-01-04 | 3
2012-01-05 | 1
2012-01-06 | 2
This sounded like a job for window functions at first, but I did not find a way to define the suitable window frame. Also, per documentation:
Aggregate window functions, unlike normal aggregate functions, do not
allow DISTINCT
or ORDER BY
to be used within the function argument list.
So I solved it with correlated subqueries instead. I guess that's the smartest way.
BTW, "between said date and 3 days ago" would be a period of 4 days. Your definition is contradictory there.
Slightly shorter, but slower for few days:
SELECT g.date, count(DISTINCT email) AS dist_emails
FROM (SELECT generate_series(timestamp '2012-01-01'
, timestamp '2012-01-06'
, interval '1 day')::date) AS g(date)
LEFT JOIN tbl t ON t.date BETWEEN g.date - 2 AND g.date
GROUP BY 1
ORDER BY 1;
Related: