I have this table
我有这张桌子
CREATE TABLE `codes` (
`id` int(11) unsigned NOT NULL AUTO_INCREMENT,
`language_id` int(11) unsigned NOT NULL,
`title` varchar(60) CHARACTER SET utf8 COLLATE utf8_bin NOT NULL,
`time_posted` timestamp NOT NULL DEFAULT CURRENT_TIMESTAMP,
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=utf8
language_id refers to what language the record is in. What I would like to do is retrieve a list of the five most recent (ORDER BY time_posted DESC LIMIT 5) records in each language_id. I could do this in a loop within PHP with a number of different SQL queries but I feel there is a simpler way.
language_id指的是记录所使用的语言。我想要做的是检索每个language_id中最近五个(ORDER BY time_posted DESC LIMIT 5)记录的列表。我可以在PHP中使用许多不同的SQL查询在循环中执行此操作,但我觉得有一种更简单的方法。
I've got to get a book on SQL, haha.
我必须得到一本关于SQL的书,哈哈。
Thanks.
2 个解决方案
#1
10
Here's how I solve this "top N per group" type of query in MySQL:
以下是我在MySQL中解决这种“每组前N个”类型查询的方法:
SELECT c1.*
FROM codes c1
LEFT OUTER JOIN codes c2
ON (c1.language_id = c2.language_id AND c1.time_posted < c2.time_posted)
GROUP BY c1.id
HAVING COUNT(*) < 5;
See also "How do I select multiple items from each group in a mysql query?"
另请参阅“如何在mysql查询中从每个组中选择多个项目?”
#2
1
Here is a great solution I just found.
这是我刚刚找到的一个很好的解决方案。
Select the TOP n Rows For Each Group Arnie Rowland, March 13, 2008
选择2008年3月13日的每个组的前n行Arnie Rowland
There are Multiple Rows for Each Category, and there is a desire to SELECT ONLY the TOP two (2) Rows per Category by Price. For example, from the following data:
每个类别有多行,并且希望按价格选择每个类别的前两(2)行。例如,从以下数据:
RowID Category ID Description Price
1 Pot A1 Small Saucepan 21.50
2 Pot A2 1 Qt Saucepan 29.95
3 Pot A3 1.5 Qt Saucepan 33.95
4 Pot A4 Double Boiler 39.50
5 Pot A5 Stewpot 49.50
6 Pot A6 Pressure Cooker 79.95
7 Pan B1 8" Pie 6.95
8 Pan B2 8" Sq Cake 7.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
13 Tools T1 14" Spatula 9.95
The desired output is:
所需的输出是:
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
There are several methods to accomplish the desired output. This demonstration provides a Solution for SQL Server 2005 / SQL Server 2008 , and then a Solution for SQL Server 2000.
有几种方法可以实现所需的输出。此演示提供SQL Server 2005 / SQL Server 2008的解决方案,然后是SQL Server 2000的解决方案。
Create Sample Data for Both Solutions
为两个解决方案创建示例数据
-- Suppress data loading messages
SET NOCOUNT ON
-- Create Sample Data using a Table Variable
DECLARE @MyTable table
( RowID int IDENTITY,
Category varchar(5),
[ID] varchar(5),
[Description] varchar(25),
Price decimal(10,2)
)
-- Load Sample Data
INSERT INTO @MyTable VALUES ( 'Pot', 'A1', 'Small Saucepan', 21.50 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A2', '1 Qt Saucepan', 29.95 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A3', '1.5 Qt Saucepan', 33.95 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A4', 'Double Boiler', 39.50 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A5', 'Stewpot', 49.50 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A6', 'Pressure Cooker', 79.95 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B1', '8"" Pie', 6.95 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B2', '8"" Sq Cake', 7.50 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B3', 'Bundt Cake', 12.50 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B4', '9x12 Brownie', 7.95 )
INSERT INTO @MyTable VALUES ( 'Bowl', 'C1', 'Lg Mixing', 27.50 )
INSERT INTO @MyTable VALUES ( 'Bowl', 'C2', 'Sm Mixing', 17.50 )
INSERT INTO @MyTable VALUES ( 'Tools', 'T1', '14"" Spatula', 9.95 )
Return to Top
SQL Server 2005 / SQL Server 2008 Solution
SQL Server 2005 / SQL Server 2008解决方案
--Query to Retrieve Desired Data
SELECT
RowID,
Category,
[ID],
[Description],
Price
FROM (SELECT
ROW_NUMBER() OVER ( PARTITION BY Category ORDER BY Price DESC ) AS 'RowNumber',
RowID,
Category,
[ID],
[Description],
Price
FROM @MyTable
) dt
WHERE RowNumber <= 2
-- Results
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
Return to Top
SQL Server 2005 / SQL Server 2008 Solution using a CTE (Added by: Jacob Sebastian)
使用CTE的SQL Server 2005 / SQL Server 2008解决方案(添加者:Jacob Sebastian)
-- Define a CTE with the name "dt"
;WITH dt AS (
SELECT
ROW_NUMBER() OVER ( PARTITION BY Category ORDER BY Price DESC ) AS 'RowNumber',
RowID,
Category,
[ID],
[Description],
Price
FROM @MyTable
)
-- and select the data from the CTE
SELECT
RowID,
Category,
[ID],
[Description],
Price
FROM dt
WHERE RowNumber <= 2
-- Results
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
Return to Top
SQL 2000 Solution
SQL 2000解决方案
--Query to Retrieve Desired Data
SELECT DISTINCT
RowID,
Category,
[ID],
[Description],
Price
FROM @MyTable t1
WHERE RowID IN (SELECT TOP 2
RowID
FROM @MyTable t2
WHERE t2.Category = t1.Category
ORDER BY Price DESC
)
ORDER BY
Category,
Price DESC
-- Results
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
From: Select the TOP n Rows For Each Group
发件人:为每个组选择TOP n行
#1
10
Here's how I solve this "top N per group" type of query in MySQL:
以下是我在MySQL中解决这种“每组前N个”类型查询的方法:
SELECT c1.*
FROM codes c1
LEFT OUTER JOIN codes c2
ON (c1.language_id = c2.language_id AND c1.time_posted < c2.time_posted)
GROUP BY c1.id
HAVING COUNT(*) < 5;
See also "How do I select multiple items from each group in a mysql query?"
另请参阅“如何在mysql查询中从每个组中选择多个项目?”
#2
1
Here is a great solution I just found.
这是我刚刚找到的一个很好的解决方案。
Select the TOP n Rows For Each Group Arnie Rowland, March 13, 2008
选择2008年3月13日的每个组的前n行Arnie Rowland
There are Multiple Rows for Each Category, and there is a desire to SELECT ONLY the TOP two (2) Rows per Category by Price. For example, from the following data:
每个类别有多行,并且希望按价格选择每个类别的前两(2)行。例如,从以下数据:
RowID Category ID Description Price
1 Pot A1 Small Saucepan 21.50
2 Pot A2 1 Qt Saucepan 29.95
3 Pot A3 1.5 Qt Saucepan 33.95
4 Pot A4 Double Boiler 39.50
5 Pot A5 Stewpot 49.50
6 Pot A6 Pressure Cooker 79.95
7 Pan B1 8" Pie 6.95
8 Pan B2 8" Sq Cake 7.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
13 Tools T1 14" Spatula 9.95
The desired output is:
所需的输出是:
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
There are several methods to accomplish the desired output. This demonstration provides a Solution for SQL Server 2005 / SQL Server 2008 , and then a Solution for SQL Server 2000.
有几种方法可以实现所需的输出。此演示提供SQL Server 2005 / SQL Server 2008的解决方案,然后是SQL Server 2000的解决方案。
Create Sample Data for Both Solutions
为两个解决方案创建示例数据
-- Suppress data loading messages
SET NOCOUNT ON
-- Create Sample Data using a Table Variable
DECLARE @MyTable table
( RowID int IDENTITY,
Category varchar(5),
[ID] varchar(5),
[Description] varchar(25),
Price decimal(10,2)
)
-- Load Sample Data
INSERT INTO @MyTable VALUES ( 'Pot', 'A1', 'Small Saucepan', 21.50 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A2', '1 Qt Saucepan', 29.95 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A3', '1.5 Qt Saucepan', 33.95 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A4', 'Double Boiler', 39.50 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A5', 'Stewpot', 49.50 )
INSERT INTO @MyTable VALUES ( 'Pot', 'A6', 'Pressure Cooker', 79.95 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B1', '8"" Pie', 6.95 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B2', '8"" Sq Cake', 7.50 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B3', 'Bundt Cake', 12.50 )
INSERT INTO @MyTable VALUES ( 'Pan', 'B4', '9x12 Brownie', 7.95 )
INSERT INTO @MyTable VALUES ( 'Bowl', 'C1', 'Lg Mixing', 27.50 )
INSERT INTO @MyTable VALUES ( 'Bowl', 'C2', 'Sm Mixing', 17.50 )
INSERT INTO @MyTable VALUES ( 'Tools', 'T1', '14"" Spatula', 9.95 )
Return to Top
SQL Server 2005 / SQL Server 2008 Solution
SQL Server 2005 / SQL Server 2008解决方案
--Query to Retrieve Desired Data
SELECT
RowID,
Category,
[ID],
[Description],
Price
FROM (SELECT
ROW_NUMBER() OVER ( PARTITION BY Category ORDER BY Price DESC ) AS 'RowNumber',
RowID,
Category,
[ID],
[Description],
Price
FROM @MyTable
) dt
WHERE RowNumber <= 2
-- Results
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
Return to Top
SQL Server 2005 / SQL Server 2008 Solution using a CTE (Added by: Jacob Sebastian)
使用CTE的SQL Server 2005 / SQL Server 2008解决方案(添加者:Jacob Sebastian)
-- Define a CTE with the name "dt"
;WITH dt AS (
SELECT
ROW_NUMBER() OVER ( PARTITION BY Category ORDER BY Price DESC ) AS 'RowNumber',
RowID,
Category,
[ID],
[Description],
Price
FROM @MyTable
)
-- and select the data from the CTE
SELECT
RowID,
Category,
[ID],
[Description],
Price
FROM dt
WHERE RowNumber <= 2
-- Results
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
Return to Top
SQL 2000 Solution
SQL 2000解决方案
--Query to Retrieve Desired Data
SELECT DISTINCT
RowID,
Category,
[ID],
[Description],
Price
FROM @MyTable t1
WHERE RowID IN (SELECT TOP 2
RowID
FROM @MyTable t2
WHERE t2.Category = t1.Category
ORDER BY Price DESC
)
ORDER BY
Category,
Price DESC
-- Results
RowID Category ID Description Price
11 Bowl C1 Lg Mixing 27.50
12 Bowl C2 Sm Mixing 17.50
9 Pan B3 Bundt Cake 12.50
10 Pan B4 9x12 Brownie 7.95
6 Pot A6 Pressure Cooker 79.95
5 Pot A5 Stewpot 49.50
13 Tools T1 14" Spatula 9.95
From: Select the TOP n Rows For Each Group
发件人:为每个组选择TOP n行