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From: Akihiro Okuno <choplin.choplin@gmail.com>
To: gmb <gmbouwer@gmail.com>
Cc: pgsql-sql@postgresql.org
Subject: Re: Help needed with Window function
Date: Fri, 4 Oct 2013 12:08:05 +0900
Message-ID: <DB0DF543-E608-487F-A120-75F398EA3D38@gmail.com> (raw)
In-Reply-To: <1380777056063-5773196.post@n5.nabble.com>
References: <1380751468173-5773160.post@n5.nabble.com>
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	<1380777056063-5773196.post@n5.nabble.com>
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> This is an approach I also considered, but hoped for a solution without the
> expense (albeit small) of having to create a function. 

How about this query?

----
CREATE TABLE transactions (
    item_code   text,
    _date       date,
    qty         double precision
)
;

INSERT INTO transactions VALUES
    ('ABC','2013-04-05',10.00),
    ('ABC','2013-04-06',10.00),
    ('ABC','2013-04-06',-2.00),
    ('ABC','2013-04-07',10.00),
    ('ABC','2013-04-08',-2.00),
    ('ABC','2013-04-09',-1.00)
;

WITH aggregated_transactions AS (
    SELECT
        item_code,
        _date,
        sum(qty) AS sum_qty
    FROM
        transactions
    GROUP BY
        item_code, _date
)
SELECT
    item_code,
    _date,
    max(nett_qty_date),
    (array_agg(accumulated_qty ORDER BY _date DESC))[1] AS nett_qty
FROM (
    SELECT
        t1.item_code,
        t1._date,
        t2._date AS nett_qty_date,
        sum(t2.sum_qty) OVER (PARTITION BY t1.item_code, t1._date ORDER BY t2._date DESC) AS accumulated_qty
    FROM
        aggregated_transactions t1
    INNER JOIN
        aggregated_transactions t2 ON t1.item_code = t2.item_code AND t1._date >= t2._date
) t
WHERE
    accumulated_qty >= 0
GROUP BY
    item_code, _date
    ;

 item_code |   _date    |    max     | nett_qty
-----------+------------+------------+----------
 ABC       | 2013-04-05 | 2013-04-05 |       10
 ABC       | 2013-04-06 | 2013-04-06 |        8
 ABC       | 2013-04-07 | 2013-04-07 |       10
 ABC       | 2013-04-08 | 2013-04-07 |        8
 ABC       | 2013-04-09 | 2013-04-07 |        7
----

Rough explanation:

1. List the past date for each date using self join.

 item_code |   _date    | sum_qty | item_code |   _date    | sum_qty
-----------+------------+---------+-----------+------------+---------
 ABC       | 2013-04-05 |      10 | ABC       | 2013-04-05 |      10
 ABC       | 2013-04-06 |       8 | ABC       | 2013-04-06 |       8
 ABC       | 2013-04-06 |       8 | ABC       | 2013-04-05 |      10
 ABC       | 2013-04-07 |      10 | ABC       | 2013-04-07 |      10
 ABC       | 2013-04-07 |      10 | ABC       | 2013-04-06 |       8
 ABC       | 2013-04-07 |      10 | ABC       | 2013-04-05 |      10
 ABC       | 2013-04-08 |      -2 | ABC       | 2013-04-08 |      -2
 ABC       | 2013-04-08 |      -2 | ABC       | 2013-04-07 |      10
 ABC       | 2013-04-08 |      -2 | ABC       | 2013-04-06 |       8
 ABC       | 2013-04-08 |      -2 | ABC       | 2013-04-05 |      10
 ABC       | 2013-04-09 |      -1 | ABC       | 2013-04-09 |      -1
 ABC       | 2013-04-09 |      -1 | ABC       | 2013-04-08 |      -2
 ABC       | 2013-04-09 |      -1 | ABC       | 2013-04-07 |      10
 ABC       | 2013-04-09 |      -1 | ABC       | 2013-04-06 |       8
 ABC       | 2013-04-09 |      -1 | ABC       | 2013-04-05 |      10

2. Calculate an accumulated qty value using window function sorted by date in descending order.

 item_code |   _date    | nett_qty_date | sum_qty | accumulated_qty
-----------+------------+---------------+---------+-----------------
 ABC       | 2013-04-05 | 2013-04-05    |      10 |              10
 ABC       | 2013-04-06 | 2013-04-06    |       8 |               8
 ABC       | 2013-04-06 | 2013-04-05    |      10 |              18
 ABC       | 2013-04-07 | 2013-04-07    |      10 |              10
 ABC       | 2013-04-07 | 2013-04-06    |       8 |              18
 ABC       | 2013-04-07 | 2013-04-05    |      10 |              28
 ABC       | 2013-04-08 | 2013-04-08    |      -2 |              -2
 ABC       | 2013-04-08 | 2013-04-07    |      10 |               8
 ABC       | 2013-04-08 | 2013-04-06    |       8 |              16
 ABC       | 2013-04-08 | 2013-04-05    |      10 |              26
 ABC       | 2013-04-09 | 2013-04-09    |      -1 |              -1
 ABC       | 2013-04-09 | 2013-04-08    |      -2 |              -3
 ABC       | 2013-04-09 | 2013-04-07    |      10 |               7
 ABC       | 2013-04-09 | 2013-04-06    |       8 |              15
 ABC       | 2013-04-09 | 2013-04-05    |      10 |              25

3. Select the max date which have a positive accumulated qty value. The accumulated qty value for that date is a nett qty which you want. 

 item_code |   _date    |    max     | nett_qty
-----------+------------+------------+----------
 ABC       | 2013-04-05 | 2013-04-05 |       10
 ABC       | 2013-04-06 | 2013-04-06 |        8
 ABC       | 2013-04-07 | 2013-04-07 |       10
 ABC       | 2013-04-08 | 2013-04-07 |        8
 ABC       | 2013-04-09 | 2013-04-07 |        7

Akihiro Okuno

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