以下声明用于收集产品在各个杂货店销售情况的数字。基本上，它是执行4次相同的语句，区别在于检查哪个存储，然后加入。单独地，每个语句不超过5秒，但加入时，最多可能需要2分钟。我试过移动和切换ON条款，以及WHERE条款，并且没有运气。我知道原因是每个查询必须先处理才能加入，然后缩小，但即便如此，我认为它只会加起来大约20秒，而不是120！
该语句由另一个脚本生成，并根据用户输入进行更改。此示例在1分30秒时返回230行。
SELECT store1.upc,store1.description,store1.size,store1.uom,store1.price,
store_qty, store_weight, store_sales,
O_qty, O_weight, O_sales,
W_qty, W_weight, W_sales,
S_qty, S_weight, S_sales
FROM
(
SELECT itemdetail.upc, itemdetail.description, itemdetail.size, itemdetail.uom, itemdetail.price,
sum(store.quantity) AS store_qty,
sum(store.weight) AS store_weight,
sum(store.sales) AS store_sales
FROM movementweekly AS store
LEFT JOIN itemdetail ON itemdetail.upc = store.upc
WHERE store.date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
AND ((itemdetail.upc >= 5100000000 AND itemdetail.upc <= 5100099999) OR (itemdetail.upc >= 51000000000 AND itemdetail.upc <= 51000999999) OR (itemdetail.upc >= 510000000000 AND itemdetail.upc <= 510009999999))
GROUP BY itemdetail.upc,itemdetail.description,itemdetail.size,itemdetail.uom,itemdetail.price
) AS store1
LEFT JOIN
(
SELECT O.upc, sum(O.quantity) AS O_qty, sum(O.weight) AS O_weight, sum(O.sales) AS O_sales
FROM movementweekly AS O
LEFT JOIN itemdetail ON itemdetail.upc = O.upc
WHERE O.store = 1
AND date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
AND ((itemdetail.upc >= 5100000000 AND itemdetail.upc <= 5100099999) OR (itemdetail.upc >= 51000000000 AND itemdetail.upc <= 51000999999) OR (itemdetail.upc >= 510000000000 AND itemdetail.upc <= 510009999999))
GROUP BY O.upc
) AS O1 ON store1.upc = O1.upc
LEFT JOIN
(
SELECT W.upc, sum(W.quantity) AS W_qty, sum(W.weight) AS W_weight, sum(W.sales) AS W_sales
FROM movementdaily AS W
LEFT JOIN itemdetail ON itemdetail.upc = W.upc
WHERE W.store = 2
AND date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
AND ((itemdetail.upc >= 5100000000 AND itemdetail.upc <= 5100099999) OR (itemdetail.upc >= 51000000000 AND itemdetail.upc <= 51000999999) OR (itemdetail.upc >= 510000000000 AND itemdetail.upc <= 510009999999))
GROUP BY W.upc
) AS W1 ON store1.upc = W1.upc
LEFT JOIN
(
SELECT S.upc, sum(S.quantity) AS S_qty, sum(S.weight) AS S_weight, sum(S.sales) AS S_sales
FROM movementdaily AS S
LEFT JOIN itemdetail ON itemdetail.upc = S.upc
WHERE S.store = 3
AND date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
AND ((itemdetail.upc >= 5100000000 AND itemdetail.upc <= 5100099999) OR (itemdetail.upc >= 51000000000 AND itemdetail.upc <= 51000999999) OR (itemdetail.upc >= 510000000000 AND itemdetail.upc <= 510009999999))
GROUP BY S.upc
) AS S1 ON store1.upc = S1.upc
ORDER BY store_sales DESC
这是前五行，作为一个例子。 忽略重量列全为零。它用于从同一模板生成的其他语句。
|UPC | |Description | |size | |uom | |Price| |Store_qty| |Store_weight| |Store_sales| |O_qty| |O_weight| |O_Sales| |W_qty| |W_weight| |W_Sales| |S_qty| |S_weight| |S_Sales|
5100013279 Swanson Chicken Broth Red Sod 32 oz 2.99 614 0 1676.47 207 0 580.32 218 0 622.12 189 0 474.03
5100012114 Swanson Broth Chicken 32 oz 2.99 597 0 1616.73 148 0 414.8 201 0 565.35 248 0 636.58
5100018806 Swanson Chunk White Chicken 12.5 oz 3.49 382 0 1524.18 91 0 363.09 147 0 586.53 144 0 574.56
5100000011 Campbells Tomato Soup 10.75 oz 0.99 1499 0 1432.71 624 0 590.59 490 0 475.41 387 0 368.69
5100000803 V8 Vegetable Juice 46 oz 3.39 454 0 1400.11 200 0 602.24 192 0 594.80 62 0 203.06
答案 0 :(得分：0)
尝试以下
-- you can select all the necessary items into temporary table
SELECT upc, description, size, uom, price
INTO #temp_itemdetail
FROM itemdetail
WHERE ((upc >= 5100000000 AND upc <= 5100099999) OR (upc >= 51000000000 AND upc <= 51000999999) OR (upc >= 510000000000 AND upc <= 510009999999))
-- add primary key into temp table
ALTER TABLE #temp_itemdetail ADD PRIMARY KEY(upc)
-- and you can use two subqueries instead four
SELECT
q1.upc,q1.description,q1.size,q1.uom,q1.price,
q1.store_qty, q1.store_weight, q1.store_sales,
q1.O_qty, q1.O_weight, q1.O_sales,
q2.W_qty, q2.W_weight, q2.W_sales,
q2.S_qty, q2.S_weight, q2.S_sales
FROM
(
SELECT
i.upc, i.description, i.size, i.uom, i.price,
sum(s.quantity) AS store_qty,
sum(s.weight) AS store_weight,
sum(s.sales) AS store_sales,
sum(CASE WHEN s.store=1 THEN s.quantity END) AS O_qty,
sum(CASE WHEN s.store=1 THEN s.weight END) AS O_weight,
sum(CASE WHEN s.store=1 THEN s.sales END) AS O_sales
FROM movementweekly s
JOIN #temp_itemdetail i ON i.upc = s.upc
WHERE s.date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
--AND ((i.upc >= 5100000000 AND i.upc <= 5100099999) OR (i.upc >= 51000000000 AND i.upc <= 51000999999) OR (i.upc >= 510000000000 AND i.upc <= 510009999999))
GROUP BY i.upc,i.description,i.size,i.uom,i.price
) AS q1
LEFT JOIN
(
SELECT
s.upc,
sum(CASE WHEN s.store=2 THEN s.quantity END) AS W_qty,
sum(CASE WHEN s.store=2 THEN s.weight END) AS W_weight,
sum(CASE WHEN s.store=2 THEN s.sales END) AS W_sales,
sum(CASE WHEN s.store=3 THEN s.quantity END) AS S_qty,
sum(CASE WHEN s.store=3 THEN s.weight END) AS S_weight,
sum(CASE WHEN s.store=3 THEN s.sales END) AS S_sales
FROM movementdaily s
JOIN #temp_itemdetail i ON i.upc = s.upc
WHERE s.store IN(2,3)
AND date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
--AND ((i.upc >= 5100000000 AND i.upc <= 5100099999) OR (i.upc >= 51000000000 AND i.upc <= 51000999999) OR (i.upc >= 510000000000 AND i.upc <= 510009999999))
GROUP BY s.upc
) AS q2 ON q1.upc = q2.upc
ORDER BY q1.store_sales DESC
-- drop temp table
DROP TABLE #temp_itemdetail
如果表格movementweekly包含所有必要信息，您可以使用单个查询
SELECT
i.upc, i.description, i.size, i.uom, i.price,
sum(s.quantity) AS store_qty,
sum(s.weight) AS store_weight,
sum(s.sales) AS store_sales,
sum(CASE WHEN s.store=1 THEN s.quantity END) AS O_qty,
sum(CASE WHEN s.store=1 THEN s.weight END) AS O_weight,
sum(CASE WHEN s.store=1 THEN s.sales END) AS O_sales,
sum(CASE WHEN s.store=2 THEN s.quantity END) AS W_qty,
sum(CASE WHEN s.store=2 THEN s.weight END) AS W_weight,
sum(CASE WHEN s.store=2 THEN s.sales END) AS W_sales,
sum(CASE WHEN s.store=3 THEN s.quantity END) AS S_qty,
sum(CASE WHEN s.store=3 THEN s.weight END) AS S_weight,
sum(CASE WHEN s.store=3 THEN s.sales END) AS S_sales
FROM movementweekly s
JOIN #temp_itemdetail i ON i.upc = s.upc
WHERE s.date BETWEEN '2017-01-09 00:00:00' AND '2017-04-09 00:00:00'
GROUP BY i.upc,i.description,i.size,i.uom,i.price
ORDER BY store_sales DESC