Given the following 2 tables, I need to find the warehouses that have all the parts in the right quantity to build a particular kit, or more appropriately, how many kits each can warehouse can build.
Inventory table: Warehouse, Part, and QuantityOnHand
Kit table: Kit, Part, QuantityForKit
For example: Kit1 requires 1 of Part1, 2 of Part2, and 1 of Part3. Warehouse A has 20 Part1, 5 Part2 and 3 Part3. Warehouse B has 5 Part1, 10 Part2, and no Part3.
Warehouse A can only build 2 of Kit1 because it doesn't have enough Part2 to make more than 2 kits. Warehouse B can't build any Kit1 because it doesn't have all the necessary parts.
I've got the following demo that works, but it seems really cumbersome and uses mostly table/index scans. Our inventory table is large and this just runs too slow. I'm looking for a better way to accomplish the same thing. In the demo there's an unbounded cross join, but in the actual app, it's limited to a single kit.
CREATE TABLE #warehouse
(
Warehouse CHAR(1) NOT NULL PRIMARY KEY
)
INSERT INTO #warehouse VALUES ('A')
INSERT INTO #warehouse VALUES ('B')
INSERT INTO #warehouse VALUES ('C')
INSERT INTO #warehouse VALUES ('D')
CREATE TABLE #inventory
(
Warehouse CHAR(1) NOT NULL ,
Part INT NOT NULL ,
OnHand INT NOT NULL ,
CONSTRAINT pk_inventory PRIMARY KEY CLUSTERED (Part, Warehouse)
)
INSERT INTO #inventory VALUES ('A', 1, 20)
INSERT INTO #inventory VALUES ('A', 2, 5)
INSERT INTO #inventory VALUES ('A', 3, 3)
INSERT INTO #inventory VALUES ('B', 1, 5)
INSERT INTO #inventory VALUES ('B', 2, 10)
INSERT INTO #inventory VALUES ('C', 1, 1)
INSERT INTO #inventory VALUES ('C', 3, 1)
INSERT INTO #inventory VALUES ('D', 1, 1)
INSERT INTO #inventory VALUES ('D', 2, 2)
INSERT INTO #inventory VALUES ('D', 3, 1)
CREATE TABLE #kit
(
Kit INT NOT NULL ,
Part INT NOT NULL ,
Quantity INT NOT NULL ,
CONSTRAINT pk_kit PRIMARY KEY CLUSTERED (Kit, Part)
)
INSERT INTO #kit VALUES (1, 1, 1)
INSERT INTO #kit VALUES (1, 2, 2)
INSERT INTO #kit VALUES (1, 3, 1)
INSERT INTO #kit VALUES (2, 1, 1)
INSERT INTO #kit VALUES (2, 2, 1)
-- Here's the statement I need to optimize
SELECT
Warehouse,
Kit,
MIN(Capacity) AS [Capacity]
FROM
(
SELECT
A.Warehouse,
A.Kit,
A.Part,
ISNULL(B.OnHand, 0) AS [Quantity],
ISNULL(B.OnHand, 0) / A.Quantity AS Capacity
FROM
(
SELECT *
FROM
#warehouse
CROSS JOIN
-- (SELECT * FROM
#kit
-- WHERE #kit.Kit = @Kit) K
) A
LEFT OUTER JOIN
#inventory B
ON A.Warehouse = B.Warehouse
AND A.Part = B.Part
) C
GROUP BY
Warehouse,
Kit
;
Suggestions appreciated.