gmb wrote
> item_code | _date | qty | max
> ---------------------------------------------------------
> ABC | 2013-04-05 | 10.00 | 2013-04-05
> ABC | 2013-04-06 | 10.00 | 2013-04-06
> ABC | 2013-04-06 | -2.00 | 2013-04-06
> ABC | 2013-04-07 | 10.00 | 2013-04-07
> ABC | 2013-04-08 | -2.00 | 2013-04-07 << last date
> where a positive qty was posted
> ABC | 2013-04-09 | -1.00 | 2013-04-07 << last date
> where a positive qty was posted
Brute force approach; tweak if performance dictates:
WITH vals (id, amt, tag) AS ( VALUES (1, 10, '1'), (2, -2, '2'), (3, -3,
'3'), (4, 5, '4'), (5, -1, '5'), (6, 6, '6') )
SELECT *
, array_agg(CASE WHEN amt < 0 THEN NULL ELSE tag END) OVER (ORDER BY id)
, array_last_nonnull(array_agg(CASE WHEN amt < 0 THEN NULL ELSE tag END)
OVER (ORDER BY id))
FROM vals;
CREATE OR REPLACE FUNCTION array_last_nonnull(in_array anyarray)
RETURNS anyelement
AS $$
SELECT unnest FROM (
SELECT unnest, row_number() OVER () AS array_index FROM (
SELECT unnest($1)
) explode ) filter
WHERE unnest IS NOT NULL
ORDER BY array_index DESC
LIMIT 1;
$$
LANGUAGE sql
STRICT
IMMUTABLE
;
Basic idea: use ORDER BY in the window to auto-define a range-preceding
frame. Create an array of all dates (tags in the example) that match with
positive amounts. Negative amounts get their matching tag added to the
array as NULL. The provided function looks into the generated array and
returns the last (closest to the current row in the frame) non-null date/tag
in the array which ends up being the date/tag matching the last positive
amount in the frame.
David J.
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