You are not actually aggregating rows, so the new aggregate FILTER
clause is not the right tool. A window function is more like it, a problem remains, however: the frame definition of a window cannot depend on values of the current row. It can only count a given number of rows preceding or following with the ROWS
clause.
To make that work, aggregate counts per day and LEFT JOIN
to a full set of days in range. Then you can apply a window function:
SELECT t.*, ct.ct_last4days
FROM (
SELECT *, sum(ct) OVER (ORDER BY dt ROWS 3 PRECEDING) AS ct_last4days
FROM (
SELECT generate_series(min(dt), max(dt), interval '1 day')::date AS dt
FROM tbl t1
) d
LEFT JOIN (SELECT dt, count(*) AS ct FROM tbl GROUP BY 1) t USING (dt)
) ct
JOIN tbl t USING (dt);
Omitting ORDER BY dt
in the widow frame definition usually works, since the order is carried over from generate_series()
in the subquery. But there are no guarantees in the SQL standard without explicit ORDER BY
and it might break in more complex queries.
Related: