基於其他選定行中最大值的一列的 SQL 值
[英]SQL value of one column based on max values in other selected rows
問題描述
我正在使用 Northwind 示例數據庫表，我想找到每個供應商 ID 的頂級 categoryId...
+-----------+----------------------------------+------------+------------+
| ProductID | ProductName | SupplierID | CategoryID |
+-----------+----------------------------------+------------+------------+
| 1 | Chai | 1 | 1 |
+-----------+----------------------------------+------------+------------+
| 2 | Chang | 1 | 1 |
+-----------+----------------------------------+------------+------------+
| 3 | Aniseed Syrup | 1 | 2 |
+-----------+----------------------------------+------------+------------+
| 4 | Chef Anton's Cajun Seasoning | 2 | 2 |
+-----------+----------------------------------+------------+------------+
| 5 | Chef Anton's Gumbo Mix | 2 | 2 |
+-----------+----------------------------------+------------+------------+
| 6 | Grandma's Boysenberry Spread | 3 | 2 |
+-----------+----------------------------------+------------+------------+
| 7 | Uncle Bob's Organic Dried Pears | 3 | 7 |
+-----------+----------------------------------+------------+------------+
| 8 | Northwoods Cranberry Sauce | 3 | 2 |
+-----------+----------------------------------+------------+------------+
| 9 | Mishi Kobe Niku | 4 | 6 |
+-----------+----------------------------------+------------+------------+
| 10 | Ikura | 4 | 8 |
+-----------+----------------------------------+------------+------------+
| 11 | Queso Cabrales | 5 | 4 |
+-----------+----------------------------------+------------+------------+
| 12 | Queso Manchego La Pastora | 5 | 4 |
+-----------+----------------------------------+------------+------------+
| 13 | Konbu | 6 | 8 |
+-----------+----------------------------------+------------+------------+
| 14 | Tofu | 6 | 7 |
+-----------+----------------------------------+------------+------------+
| 15 | Genen Shouyu | 6 | 2 |
+-----------+----------------------------------+------------+------------+
| 16 | Pavlova | 7 | 3 |
+-----------+----------------------------------+------------+------------+
| 17 | Alice Mutton | 7 | 6 |
+-----------+----------------------------------+------------+------------+
| 18 | Carnarvon Tigers | 7 | 8 |
+-----------+----------------------------------+------------+------------+
| 19 | Teatime Chocolate Biscuits | 8 | 3 |
+-----------+----------------------------------+------------+------------+
| 20 | Sir Rodney's Marmalade | 8 | 3 |
+-----------+----------------------------------+------------+------------+
| 21 | Sir Rodney's Scones | 8 | 3 |
+-----------+----------------------------------+------------+------------+
| 22 | Gustaf's Knäckebröd | 9 | 5 |
+-----------+----------------------------------+------------+------------+
| 23 | Tunnbröd | 9 | 5 |
+-----------+----------------------------------+------------+------------+
| 24 | Guaraná Fantástica | 10 | 1 |
+-----------+----------------------------------+------------+------------+
| 25 | NuNuCa Nuß-Nougat-Creme | 11 | 3 |
+-----------+----------------------------------+------------+------------+
| 26 | Gumbär Gummibärchen | 11 | 3 |
+-----------+----------------------------------+------------+------------+
| 27 | Schoggi Schokolade | 11 | 3 |
+-----------+----------------------------------+------------+------------+
| 28 | Rössle Sauerkraut | 12 | 7 |
+-----------+----------------------------------+------------+------------+
| 29 | Thüringer Rostbratwurst | 12 | 6 |
+-----------+----------------------------------+------------+------------+
| 30 | Nord-Ost Matjeshering | 13 | 8 |
+-----------+----------------------------------+------------+------------+
| 31 | Gorgonzola Telino | 14 | 4 |
+-----------+----------------------------------+------------+------------+
| 32 | Mascarpone Fabioli | 14 | 4 |
+-----------+----------------------------------+------------+------------+
| 33 | Geitost | 15 | 4 |
+-----------+----------------------------------+------------+------------+
| 34 | Sasquatch Ale | 16 | 1 |
+-----------+----------------------------------+------------+------------+
| 35 | Steeleye Stout | 16 | 1 |
+-----------+----------------------------------+------------+------------+
| 36 | Inlagd Sill | 17 | 8 |
+-----------+----------------------------------+------------+------------+
| 37 | Gravad lax | 17 | 8 |
+-----------+----------------------------------+------------+------------+
| 38 | Côte de Blaye | 18 | 1 |
+-----------+----------------------------------+------------+------------+
| 39 | Chartreuse verte | 18 | 1 |
+-----------+----------------------------------+------------+------------+
| 40 | Boston Crab Meat | 19 | 8 |
+-----------+----------------------------------+------------+------------+
| 41 | Jack's New England Clam Chowder | 19 | 8 |
+-----------+----------------------------------+------------+------------+
| 42 | Singaporean Hokkien Fried Mee | 20 | 5 |
+-----------+----------------------------------+------------+------------+
| 43 | Ipoh Coffee | 20 | 1 |
+-----------+----------------------------------+------------+------------+
| 44 | Gula Malacca | 20 | 2 |
+-----------+----------------------------------+------------+------------+
| 45 | Rogede sild | 21 | 8 |
+-----------+----------------------------------+------------+------------+
| 46 | Spegesild | 21 | 8 |
+-----------+----------------------------------+------------+------------+
| 47 | Zaanse koeken | 22 | 3 |
+-----------+----------------------------------+------------+------------+
| 48 | Chocolade | 22 | 3 |
+-----------+----------------------------------+------------+------------+
| 49 | Maxilaku | 23 | 3 |
+-----------+----------------------------------+------------+------------+
| 50 | Valkoinen suklaa | 23 | 3 |
+-----------+----------------------------------+------------+------------+
| 51 | Manjimup Dried Apples | 24 | 7 |
+-----------+----------------------------------+------------+------------+
| 52 | Filo Mix | 24 | 5 |
+-----------+----------------------------------+------------+------------+
| 53 | Perth Pasties | 24 | 6 |
+-----------+----------------------------------+------------+------------+
| 54 | Tourtière | 25 | 6 |
+-----------+----------------------------------+------------+------------+
| 55 | Pâté chinois | 25 | 6 |
+-----------+----------------------------------+------------+------------+
| 56 | Gnocchi di nonna Alice | 26 | 5 |
+-----------+----------------------------------+------------+------------+
| 57 | Ravioli Angelo | 26 | 5 |
+-----------+----------------------------------+------------+------------+
| 58 | Escargots de Bourgogne | 27 | 8 |
+-----------+----------------------------------+------------+------------+
| 59 | Raclette Courdavault | 28 | 4 |
+-----------+----------------------------------+------------+------------+
| 60 | Camembert Pierrot | 28 | 4 |
+-----------+----------------------------------+------------+------------+
| 61 | Sirop d'érable | 29 | 2 |
+-----------+----------------------------------+------------+------------+
| 62 | Tarte au sucre | 29 | 3 |
+-----------+----------------------------------+------------+------------+
| 63 | Vegie-spread | 7 | 2 |
+-----------+----------------------------------+------------+------------+
| 64 | Wimmers gute Semmelknödel | 12 | 5 |
+-----------+----------------------------------+------------+------------+
| 65 | Louisiana Fiery Hot Pepper Sauce | 2 | 2 |
+-----------+----------------------------------+------------+------------+
| 66 | Louisiana Hot Spiced Okra | 2 | 2 |
+-----------+----------------------------------+------------+------------+
| 67 | Laughing Lumberjack Lager | 16 | 1 |
+-----------+----------------------------------+------------+------------+
| 68 | Scottish Longbreads | 8 | 3 |
+-----------+----------------------------------+------------+------------+
| 69 | Gudbrandsdalsost | 15 | 4 |
+-----------+----------------------------------+------------+------------+
| 70 | Outback Lager | 7 | 1 |
+-----------+----------------------------------+------------+------------+
| 71 | Flotemysost | 15 | 4 |
+-----------+----------------------------------+------------+------------+
| 72 | Mozzarella di Giovanni | 14 | 4 |
+-----------+----------------------------------+------------+------------+
| 73 | Röd Kaviar | 17 | 8 |
+-----------+----------------------------------+------------+------------+
| 74 | Longlife Tofu | 4 | 7 |
+-----------+----------------------------------+------------+------------+
| 75 | Rhönbräu Klosterbier | 12 | 1 |
+-----------+----------------------------------+------------+------------+
| 76 | Lakkalikööri | 23 | 1 |
+-----------+----------------------------------+------------+------------+
| 77 | Original Frankfurter grüne Soße | 12 | 2 |
+-----------+----------------------------------+------------+------------+
使用查詢
SELECT SupplierID, CategoryID, COUNT(CategoryID) AS Total FROM [dbo].[Products] GROUP BY CategoryID, SupplierID
我拿到桌子
+------------+------------+-------+
| SupplierID | CategoryID | Total |
+------------+------------+-------+
| 1 | 1 | 2 |
+------------+------------+-------+
| 1 | 2 | 1 |
+------------+------------+-------+
| 2 | 2 | 4 |
+------------+------------+-------+
| 3 | 2 | 2 |
+------------+------------+-------+
| 3 | 7 | 1 |
+------------+------------+-------+
| 4 | 6 | 1 |
+------------+------------+-------+
| 4 | 7 | 1 |
+------------+------------+-------+
| 4 | 8 | 1 |
+------------+------------+-------+
| 5 | 4 | 2 |
+------------+------------+-------+
| 6 | 2 | 1 |
+------------+------------+-------+
| 6 | 7 | 1 |
+------------+------------+-------+
| 6 | 8 | 1 |
+------------+------------+-------+
| 7 | 1 | 1 |
+------------+------------+-------+
| 7 | 2 | 1 |
+------------+------------+-------+
| 7 | 3 | 1 |
+------------+------------+-------+
| 7 | 6 | 1 |
+------------+------------+-------+
| 7 | 8 | 1 |
+------------+------------+-------+
| 8 | 3 | 4 |
+------------+------------+-------+
| 9 | 5 | 2 |
+------------+------------+-------+
| 10 | 1 | 1 |
+------------+------------+-------+
| 11 | 3 | 3 |
+------------+------------+-------+
| 12 | 1 | 1 |
+------------+------------+-------+
| 12 | 2 | 1 |
+------------+------------+-------+
| 12 | 5 | 1 |
+------------+------------+-------+
| 12 | 6 | 1 |
+------------+------------+-------+
| 12 | 7 | 1 |
+------------+------------+-------+
| 13 | 8 | 1 |
+------------+------------+-------+
| 14 | 4 | 3 |
+------------+------------+-------+
| 15 | 4 | 3 |
+------------+------------+-------+
| 16 | 1 | 3 |
+------------+------------+-------+
| 17 | 8 | 3 |
+------------+------------+-------+
| 18 | 1 | 2 |
+------------+------------+-------+
| 19 | 8 | 2 |
+------------+------------+-------+
| 20 | 1 | 1 |
+------------+------------+-------+
| 20 | 2 | 1 |
+------------+------------+-------+
| 20 | 5 | 1 |
+------------+------------+-------+
| 21 | 8 | 2 |
+------------+------------+-------+
| 22 | 3 | 2 |
+------------+------------+-------+
| 23 | 1 | 1 |
+------------+------------+-------+
| 23 | 3 | 2 |
+------------+------------+-------+
| 24 | 5 | 1 |
+------------+------------+-------+
| 24 | 6 | 1 |
+------------+------------+-------+
| 24 | 7 | 1 |
+------------+------------+-------+
| 25 | 6 | 2 |
+------------+------------+-------+
| 26 | 5 | 2 |
+------------+------------+-------+
| 27 | 8 | 1 |
+------------+------------+-------+
| 28 | 4 | 2 |
+------------+------------+-------+
| 29 | 2 | 1 |
+------------+------------+-------+
| 29 | 3 | 1 |
+------------+------------+-------+
如您所見，供應商 1 生產 2 個類別 1 產品和 1 個類別 2 產品。 因此，查詢中的第一行應為
+------------+------------+-------+
| SupplierID | CategoryID | Total |
+------------+------------+-------+
| 1 | 1 | 2 |
+------------+------------+-------+
接下來應該是供應商 ID #2，它總共有 4 個類別 2 產品。 決賽桌應該是這樣的……
+------------+------------+-------+
| SupplierID | CategoryID | Total |
+------------+------------+-------+
| 1 | 1 | 2 |
+------------+------------+-------+
| 2 | 2 | 4 |
+------------+------------+-------+
| 3 | 2 | 2 |
+------------+------------+-------+
| 4 | 6 | 1 |
+------------+------------+-------+
| 5 | 4 | 2 |
+------------+------------+-------+
| 6 | 2 | 1 |
+------------+------------+-------+
| 7 | 1 | 1 |
+------------+------------+-------+
| 8 | 3 | 4 |
+------------+------------+-------+
| 9 | 5 | 2 |
+------------+------------+-------+
| 11 | 3 | 3 |
+------------+------------+-------+
| 12 | 1 | 1 |
+------------+------------+-------+
| 13 | 8 | 1 |
+------------+------------+-------+
| 14 | 4 | 3 |
+------------+------------+-------+
| 15 | 4 | 3 |
+------------+------------+-------+
| 16 | 1 | 3 |
+------------+------------+-------+
| 17 | 8 | 3 |
+------------+------------+-------+
| 18 | 1 | 2 |
+------------+------------+-------+
| 19 | 8 | 2 |
+------------+------------+-------+
| 20 | 1 | 1 |
+------------+------------+-------+
| 21 | 8 | 2 |
+------------+------------+-------+
| 22 | 3 | 2 |
+------------+------------+-------+
| 23 | 3 | 2 |
+------------+------------+-------+
| 24 | 5 | 1 |
+------------+------------+-------+
| 25 | 6 | 2 |
+------------+------------+-------+
| 26 | 5 | 2 |
+------------+------------+-------+
| 27 | 8 | 1 |
+------------+------------+-------+
| 28 | 4 | 2 |
+------------+------------+-------+
| 29 | 2 | 1 |
+------------+------------+-------+
| 29 | 3 | 1 |
+------------+------------+-------+
我知道很多供應商只為給定的類別生產一件商品，這不是一個很好的例子，只是想在這里學習。
謝謝
3 個解決方案
解決方案1
0 2020-01-05 20:15:12
我認為您可以使用基於供應商分區的行號，然后使用聚合函數和行號進行排名。 然后只選擇給定供應商有更多行的那個。 我只是采用了您的示例數據的一部分並以這種方式進行了操作。
with cte as (
select 1 as ProductID, 'Chai' as ProductNmae, 1 as SupplierID, 1 as CategoryID union all
select 2 as ProductID, 'Chang' as ProductNmae, 1 as SupplierID, 1 as CategoryID union all
select 3 as ProductID, 'Aniseed Syrup' as ProductNmae, 1 as SupplierID, 2 as CategoryID union all
select 4 as ProductID, 'Chef Anton''s Cajun Seasoning' as ProductNmae, 2 as SupplierID, 2 as CategoryID union all
select 5 as ProductID, 'Chef Anton''s Gumbo Mix' as ProductNmae, 2 as SupplierID, 2 as CategoryID union all
select 6 as ProductID, 'Grandma''s Boysenberry Spread' as Product_name , 3 as SupplierID, 2 as CategoryID union all
select 7 as ProductID, 'Uncle Bob''s Organic Dried Pears' as Product_name , 3 as SupplierID, 7 as CategoryID union all
select 8 as ProductID, 'Northwoods Cranberry Sauce' as Product_name , 3 as SupplierID, 2 as CategoryID )
select t.SupplierID, t.CategoryID, t.total from (
select supplierID, CategoryID , ROW_NUMBER() over (partition by supplierID order by count(1) desc) rownum, count(1) total from cte
group by supplierID, CategoryID ) t
where t.rownum = 1
輸出：
SupplierID CategoryID total
1 1 2
2 2 2
3 2 2
解決方案2
0 2020-01-05 20:17:35
首先，您必須按供應商生成類別計數，然后您必須將它們從高到低排列，最后只選擇最高的。 在下面的查詢中，我通過使用嵌套查詢來做到這一點：
-- Select only the top category counts by supplier
SELECT
[SupplierID],
[CategoryID],
[Total]
FROM (
-- Rank category counts by supplier
SELECT
*,
RANK() OVER (PARTITION BY [SupplierID] ORDER BY [Total] DESC) AS [Rank]
FROM (
-- Generate category counts by supplier
SELECT
[SupplierID],
[CategoryID],
COUNT(*) AS [Total]
FROM [Products]
GROUP BY
[SupplierID],
[CategoryID]
) AS SupplierCategoryCounts
) AS RankedSupplierCategoryCounts
WHERE [Rank] = 1
ORDER BY [SupplierID]
解決方案3
0 2020-01-05 20:33:40
在 Sql 服務器中，您可以將查詢編寫為：
select SupplierID ,
CategoryID ,
Total
from (
select
SupplierID ,
CategoryID ,
Total ,
ROW_NUMBER() over (partition by SupplierID order by Total desc) as rownum
from (
SELECT SupplierID
, CategoryID
, COUNT(CategoryID) AS Total
FROM [dbo].[Products]
GROUP BY CategoryID, SupplierID
) as Innertable
) as Outertable
where rownum = 1
order by SupplierID
選擇在一列中共享公共值但由其他值選擇的行
[英]Selecting rows that share a common value in one column, but were selected by other values
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