You can do it like this without loops
SELECT p.date, COALESCE(a.value, 0) value, p.grp_no
FROM
(
SELECT grp_no, date
FROM
(
SELECT grp_no, MIN(date) min_date, MAX(date) max_date
FROM tableA
GROUP BY grp_no
) q CROSS JOIN tableb b
WHERE b.date BETWEEN q.min_date AND q.max_date
) p LEFT JOIN TableA a
ON p.grp_no = a.grp_no
AND p.date = a.date
The innermost subquery grabs min and max dates per group. Then cross join with TableB produces all possible dates within the min-max range per group. And finally outer select uses outer join with TableA and fills value column with 0 for dates that are missing in TableA.
Output:
| DATE | VALUE | GRP_NO | |------------|-------|--------| | 2012-08-06 | 1 | 1 | | 2012-08-07 | 0 | 1 | | 2012-08-08 | 1 | 1 | | 2012-08-09 | 0 | 1 | | 2012-08-07 | 2 | 2 | | 2012-08-08 | 1 | 2 | | 2012-08-09 | 0 | 2 | | 2012-08-10 | 0 | 2 | | 2012-08-11 | 0 | 2 | | 2012-08-12 | 3 | 2 |
Here is SQLFiddle demo