I have a result set as below:
Item ExpectedQty ReceivedQty Short
Item01 30 45 5
Item01 20 45 5
Item02 40
One part of the problem is to get the running totals of expected item qunatities. For that you'd need a way to distinguish rows with same items from each other and a rule for the order of discharging same item quantities.
For the purpose of my attempt at solving your problem I'm going to assume there's a timestamp column whose values provide the order of discharge and are unique within same item groups.
Here's the sample data definition I was testing my solution on:
CREATE TABLE TableA (Item varchar(50), ExpectedQty int, Timestamp int);
INSERT INTO TableA
SELECT 'Item01', 30, 1 UNION ALL
SELECT 'Item01', 20, 2 UNION ALL
SELECT 'Item02', 40, 1 UNION ALL
SELECT 'item03', 50, 1 UNION ALL
SELECT 'item03', 30, 2 UNION ALL
SELECT 'item03', 20, 3;
CREATE TABLE TableB (Item varchar(50), ReceivedQty int);
INSERT INTO TableB
SELECT 'Item01', 45 UNION ALL
SELECT 'Item02', 38 UNION ALL
SELECT 'item03', 90;
And here's my solution:
SELECT
Item,
ExpectedQty,
ReceivedQty = CASE
WHEN RemainderQty >= 0 THEN ExpectedQty
WHEN RemainderQty < -ExpectedQty THEN 0
ELSE RemainderQty + ExpectedQty
END,
Short = CASE
WHEN RemainderQty >= 0 THEN 0
WHEN RemainderQty < -ExpectedQty THEN ExpectedQty
ELSE ABS(RemainderQty)
END
FROM (
SELECT
a.Item,
a.ExpectedQty,
RemainderQty = b.ReceivedQty - a.RunningTotalQty
FROM (
SELECT
a.Item,
a.Timestamp,
a.ExpectedQty,
RunningTotalQty = SUM(a2.ExpectedQty)
FROM TableA a
INNER JOIN TableA a AS a2 ON a.Item = a2.Item AND a.Timestamp >= a2.Timestamp
GROUP BY
a.Item,
a.Timestamp,
a.ExpectedQty
) a
INNER JOIN TableB b ON a.Item = b.Item
) s
select a.Item, a.ExpectedQty,b.ReceivedQty, (a.ExpectedQty - b.ReceivedQty) as 'Short' from a join b on a.Item = b.Item
SELECT a.ExpectedQty,
b.ReceivedQty,
CASE WHEN b.ReceivedQty < a.ExpectedQty
THEN b.ReceivedQty - a.ExpectedQty
ELSE 0
END Short
FROM dbo.a a
INNER JOIN dbo.b b
ON a.ItemId = b.ItemId