我如何才能找到哪個類別的產品出貨量最多以及該類別的銷售凈收入？
[英]How can I find which category has the most products shipped and the net income from sales in that category?
問題描述
使用 w3schools.com SQL 教程 Northwind 數據庫，我試圖顯示發貨最多的產品類別。 此外，我想顯示該類別中所有銷售的凈收入。 我不知道如何取出貨產品最多的類別，並使用出貨產品的數量來計算該類別的凈收入。 這是因為有許多不同的產品具有相同的 CategoryID 但價格不同。
DROP TABLE IF EXISTS categories;
DROP TABLE IF EXISTS products;
DROP TABLE IF EXISTS orderdetails;
CREATE TABLE categories
(CategoryID SERIAL PRIMARY KEY
,CategoryName VARCHAR(20) NOT NULL UNIQUE
,Description VARCHAR(100) NOT NULL
);
INSERT INTO categories VALUES
(1,'Beverages','Soft drinks, coffees, teas, beers, and ales'),
(2,'Condiments','Sweet and savory sauces, relishes, spreads, and seasonings'),
(3,'Confections','Desserts, candies, and sweet breads'),
(4,'Dairy Products','Cheeses'),
(5,'Grains/Cereals','Breads, crackers, pasta, and cereal'),
(6,'Meat/Poultry','Prepared meats'),
(7,'Produce','Dried fruit and bean curd'),
(8,'Seafood','Seaweed and fish');
CREATE TABLE products
(ProductID SERIAL PRIMARY KEY
,ProductName VARCHAR(50) NOT NULL UNIQUE
,SupplierID INT NOT NULL
,CategoryID INT NOT NULL
,Unit VARCHAR(100) NOT NULL
,Price DECIMAL(5,2) NOT NULL
);
INSERT INTO products VALUES
( 1,"Chais",1,1,"10 boxes x 20 bags" ,'18'),
( 2,"Chang",1,1,"24 - 12 oz bottles" ,'19'),
( 3,"Aniseed Syrup",1,2,"12 - 550 ml bottles" ,'10'),
( 4,"Chef Anton's Cajun Seasoning",2,2,"48 - 6 oz jars" ,'22'),
( 5,"Chef Anton's Gumbo Mix",2,2,"36 boxes" ,'21.35'),
( 6,"Grandma's Boysenberry Spread",3,2,"12 - 8 oz jars" ,'25'),
( 7,"Uncle Bob's Organic Dried Pears",3,7,"12 - 1 lb pkgs." ,'30'),
( 8,"Northwoods Cranberry Sauce",3,2,"12 - 12 oz jars" ,'40'),
( 9,"Mishi Kobe Niku",4,6,"18 - 500 g pkgs." ,'97'),
(10,"Ikura",4,8,"12 - 200 ml jars" ,'31'),
(11,"Queso Cabrales",5,4,"1 kg pkg." ,'21'),
(12,"Queso Manchego La Pastora",5,4,"10 - 500 g pkgs." ,'38'),
(13,"Konbu",6,8,"2 kg box" ,'6'),
(14,"Tofu",6,7,"40 - 100 g pkgs." ,'23.25'),
(15,"Genen Shouyu",6,2,"24 - 250 ml bottles" ,'15.5'),
(16,"Pavlova",7,3,"32 - 500 g boxes" ,'17.45'),
(17,"Alice Mutton",7,6,"20 - 1 kg tins" ,'39'),
(18,"Carnarvon Tigers",7,8,"16 kg pkg." ,'62.5'),
(19,"Teatime Chocolate Biscuits",8,3,"10 boxes x 12 pieces" ,'9.2'),
(20,"Sir Rodney's Marmalade",8,3,"30 gift boxes" ,'81'),
(21,"Sir Rodney's Scones",8,3,"24 pkgs. x 4 pieces" ,'10'),
(22,"Gustaf's Knäckebröd",9,5,"24 - 500 g pkgs." ,'21'),
(23,"Tunnbröd",9,5,"12 - 250 g pkgs.",'9'),
(24,"Guaraná Fantástica",10,1,"12 - 355 ml cans",'4.5'),
(25,"NuNuCa Nuß-Nougat-Creme",11,3,"20 - 450 g glasses",'14'),
(26,"Gumbär Gummibärchen",11,3,"100 - 250 g bags",'31.23'),
(27,"Schoggi Schokolade",11,3,"100 - 100 g pieces",'43.9'),
(28,"Rössle Sauerkraut",12,7,"25 - 825 g cans",'45.6'),
(29,"Thüringer Rostbratwurst",12,6,"50 bags x 30 sausgs.",'123.79'),
(30,"Nord-Ost Matjeshering",13,8,"10 - 200 g glasses",'25.89'),
(31,"Gorgonzola Telino",14,4,"12 - 100 g pkgs",'12.5'),
(32,"Mascarpone Fabioli",14,4,"24 - 200 g pkgs.",'32'),
(33,"Geitost",15,4,"500 g",'2.5'),
(34,"Sasquatch Ale",16,1,"24 - 12 oz bottles",'14'),
(35,"Steeleye Stout",16,1,"24 - 12 oz bottles",'18'),
(36,"Inlagd Sill",17,8,"24 - 250 g jars",'19'),
(37,"Gravad lax",17,8,"12 - 500 g pkgs.",'26'),
(38,"Côte de Blaye",18,1,"12 - 75 cl bottles",'263.5'),
(39,"Chartreuse verte",18,1,"750 cc per bottle",'18'),
(40,"Boston Crab Meat",19,8,"24 - 4 oz tins",'18.4'),
(41,"Jack's New England Clam Chowder",19,8,"12 - 12 oz cans",'9.65'),
(42,"Singaporean Hokkien Fried Mee",20,5,"32 - 1 kg pkgs.",'14'),
(43,"Ipoh Coffee",20,1,"16 - 500 g tins",'46'),
(44,"Gula Malacca",20,2,"20 - 2 kg bags",'19.45'),
(45,"Røgede sild",21,8,"1k pkg.",'9.5'),
(46,"Spegesild",21,8,"4 - 450 g glasses",'12'),
(47,"Zaanse koeken",22,3,"10 - 4 oz boxes",'9.5'),
(48,"Chocolade",22,3,"10 pkgs.",'12.75'),
(49,"Maxilaku",23,3,"24 - 50 g pkgs.",'20'),
(50,"Valkoinen suklaa",23,3,"12 - 100 g bars",'16.25'),
(51,"Manjimup Dried Apples",24,7,"50 - 300 g pkgs.",'53'),
(52,"Filo Mix",24,5,"16 - 2 kg boxes",'7'),
(53,"Perth Pasties",24,6,"48 pieces",'32.8'),
(54,"Tourtière",25,6,"16 pies",'7.45'),
(55,"Pâté chinois",25,6,"24 boxes x 2 pies",'24'),
(56,"Gnocchi di nonna Alice",26,5,"24 - 250 g pkgs.",'38'),
(57,"Ravioli Angelo",26,5,"24 - 250 g pkgs.",'19.5'),
(58,"Escargots de Bourgogne",27,8,"24 pieces",'13.25'),
(59,"Raclette Courdavault",28,4,"5 kg pkg.",'55'),
(60,"Camembert Pierrot",28,4,"15 - 300 g rounds",'34'),
(61,"Sirop d'érable",29,2,"24 - 500 ml bottles",'28.5'),
(62,"Tarte au sucre",29,3,"48 pies",'49.3'),
(63,"Vegie-spread",7,2,"15 - 625 g jars",'43.9'),
(64,"Wimmers gute Semmelknödel",12,5,"20 bags x 4 pieces",'33.25'),
(65,"Louisiana Fiery Hot Pepper Sauce",2,2,"32 - 8 oz bottles",'21.05'),
(66,"Louisiana Hot Spiced Okra",2,2,"24 - 8 oz jars",'17'),
(67,"Laughing Lumberjack Lager",16,1,"24 - 12 oz bottles",'14'),
(68,"Scottish Longbreads",8,3,"10 boxes x 8 pieces",'12.5'),
(69,"Gudbrandsdalsost",15,4,"10 kg pkg.",'36'),
(70,"Outback Lager",7,1,"24 - 355 ml bottles",'15'),
(71,"Fløtemysost",15,4,"10 - 500 g pkgs.",'21.5'),
(72,"Mozzarella di Giovanni",14,4,"24 - 200 g pkgs.",'34.8'),
(73,"Röd Kaviar",17,8,"24 - 150 g jars",'15'),
(74,"Longlife Tofu",4,7,"5 kg pkg.",'10'),
(75,"Rhönbräu Klosterbier",12,1,"24 - 0.5 l bottles",'7.75'),
(76,"Lakkalikööri",23,1,"500 ml",'18'),
(77,"Original Frankfurter grüne Soße",12,2,"12 boxes",'13');
CREATE TABLE orderdetails
(OrderDetailID SERIAL PRIMARY KEY
,OrderID INT NOT NULL
,ProductID INT NOT NULL
,Quantity INT NOT NULL
);
INSERT INTO orderdetails VALUES
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(466,10421,53,15 ),
(467,10421,77,10 ),
(468,10422,26,2 ),
(469,10423,31,14 ),
(470,10423,59,20 ),
(471,10424,35,60 ),
(472,10424,38,49 ),
(473,10424,68,30 ),
(474,10425,55,10 ),
(475,10425,76,20 ),
(476,10426,56,5 ),
(477,10426,64,7 ),
(478,10427,14,35 ),
(479,10428,46,20 ),
(480,10429,50,40 ),
(481,10429,63,35 ),
(482,10430,17,45 ),
(483,10430,21,50 ),
(484,10430,56,30 ),
(485,10430,59,70 ),
(486,10431,17,50 ),
(487,10431,40,50 ),
(488,10431,47,30 ),
(489,10432,26,10 ),
(490,10432,54,40 ),
(491,10433,56,28 ),
(492,10434,11,6 ),
(493,10434,76,18 ),
(494,10435,2,10 ),
(495,10435,22,12 ),
(496,10435,72,10 ),
(497,10436,46,5 ),
(498,10436,56,40 ),
(499,10436,64,30 ),
(500,10436,75,24 ),
(501,10437,53,15 ),
(502,10438,19,15 ),
(503,10438,34,20 ),
(504,10438,57,15 ),
(505,10439,12,15 ),
(506,10439,16,16 ),
(507,10439,64,6 ),
(508,10439,74,30 ),
(509,10440, 2,45 ),
(510,10440,16,49 ),
(511,10440,29,24 ),
(512,10440,61,90 ),
(513,10441,27,50 ),
(514,10442,11,30 ),
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(517,10443,11,6 ),
(518,10443,28,12);
數據庫： https://www.w3schools.com/sql/trysql.asp?filename=trysql_select_all
到目前為止，我在 OrderDetails 中對每個訂單的數量求和，加入 Categories、OrderDetails 和 Products 表，並按 CategoryID 對結果進行分組。 然后，我想我會按出貨產品數量降序排列表格，select 出貨產品最多的類別並計算該類別的凈收入。 我現在意識到這是錯誤的處理方式，因為在同一個 CategoryID 下有許多不同的產品具有不同的價格。 我是 SQL 的新手，我已經在 Google 上進行了一些挖掘以試圖解決這個問題，但無濟於事。
到目前為止，我想出了這個：
SELECT ct.CategoryID, ct.CategoryName, SUM(odt.Quantity) AS ProductsShipped
FROM Categories AS ct
INNER JOIN Products AS p ON p.CategoryID = ct.CategoryID
INNER JOIN OrderDetails AS odt ON odt.ProductID = p.ProductID
GROUP BY ct.CategoryID
ORDER BY ProductsShipped DESC;
上面的代碼顯示：
CategoryID CategoryName ProductsShipped
4 Dairy Products 2601
1 Beverages 2289
3 Confections 2110
8 Seafood 1445
2 Condiments 1383
6 Meat/Poultry 1288
5 Grains/Cereals 912
7 Produce 715
我覺得我在正確的軌道上，但我覺得我需要回溯一點，並在我的 GROUP BY 命令之前的代碼中實現一些東西，以便計算該類別的凈收入。 問題是我不知道要編碼什么。
編輯：另外，我怎樣才能 select 只有我表中的頂部條目？ 我只想展示乳制品，因為它運送的產品最多。
2 個解決方案
解決方案1
0 2021-01-24 15:23:46
因此，首先您獲得每個產品和類別的收入，然后根據此找到該類別的總收入，並在子查詢的幫助下完成此操作，然后將此結果表與類別表並在group by你找到每個類別的產品數量和總收入，下面是sql查詢更深入的了解
SELECT ct.CategoryID
, ct.CategoryName
, SUM(pdd.ProductQuantityShipped) AS ProductsShipped
, SUM(pdd.product_income) AS CategoryIncome
FROM Categories AS ct
INNER JOIN
( SELECT pd.ProductID AS productId
, pd.CategoryID
, SUM(odt.Quantity) AS ProductQuantityShipped
, SUM(pd.Price * odt.Quantity) AS product_income
FROM Products AS pd
INNER JOIN OrderDetails AS odt
ON pd.ProductID = odt.ProductID
GROUP
BY pd.ProductID
, pd.CategoryID
) AS pdd
ON ct.CategoryID = pdd.CategoryID
GROUP
BY ct.CategoryID
, ct.CategoryName
ORDER
BY SUM(pdd.ProductQuantityShipped) DESC;
I am assuming you are using mysql as you mentioned it in question tags, you can use 'limit' and 'offset' for getting the desired range of output ie 'LIMIT n' is used for limiting the row count to 'n' in output 'OFFSET n' 用於跳過前 'n' 行。 請參閱下面的更新代碼以獲取 output 以獲得最高產品出貨量的類別
SELECT ct.CategoryID
, ct.CategoryName
, SUM(pdd.ProductQuantityShipped) AS ProductsShipped
, SUM(pdd.product_income) AS CategoryIncome
FROM Categories AS ct
INNER JOIN
( SELECT pd.ProductID AS productId
, pd.CategoryID
, SUM(odt.Quantity) AS ProductQuantityShipped
, SUM(pd.Price * odt.Quantity) AS product_income
FROM Products AS pd
INNER JOIN OrderDetails AS odt
ON pd.ProductID = odt.ProductID
GROUP
BY pd.ProductID
, pd.CategoryID
) AS pdd
ON ct.CategoryID = pdd.CategoryID
GROUP
BY ct.CategoryID
, ct.CategoryName
ORDER
BY SUM(pdd.ProductQuantityShipped) DESC
LIMIT 1 OFFSET 0;
如果你想在你提到的 w3-school 使用的 mssql 服務器上運行它，那么你需要使用 'TOP' 來限制行數
SELECT TOP 1
ct.CategoryID
, ct.CategoryName
, SUM(pdd.ProductQuantityShipped) AS ProductsShipped
, SUM(pdd.product_income) AS CategoryIncome
FROM Categories AS ct
INNER JOIN
( SELECT pd.ProductID AS productId
, pd.CategoryID
, SUM(odt.Quantity) AS ProductQuantityShipped
, SUM(pd.Price * odt.Quantity) AS product_income
FROM Products AS pd
INNER JOIN OrderDetails AS odt
ON pd.ProductID = odt.ProductID
GROUP
BY pd.ProductID
, pd.CategoryID
) AS pdd
ON ct.CategoryID = pdd.CategoryID
GROUP
BY ct.CategoryID
, ct.CategoryName
ORDER
BY SUM(pdd.ProductQuantityShipped) DESC;
解決方案2
0 已采納 2021-02-03 00:19:43
使用我的原始代碼，我只是在我的原始 select 語句中添加了一個 sum 命令，通過訂單中的產品價格乘以數量來計算一個類別的收入。 我通過手動計算檢查了結果表是否正確。 不需要子查詢。
SUM(OrderDetails.Quantity * Products.Price)
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