SQL 如何连接每个组的某个列中的所有字符串

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时间:2020-09-01 11:12:11  来源:igfitidea点击:

How to concatenate all strings from a certain column for each group

sqlsql-servertsqlxquerysql-server-group-concat

提问by yonan2236

Suppose I have this table [Table1]

假设我有这张表 [Table1]

Name    Mark
------- ------
ABC     10
DEF     10
GHI     10
JKL     20
MNO     20
PQR     30

What should be my SQL statement to retrieve a record that looks like this: (group by [mark]). I have done the 1 and 2 columns but don't know how to accomplish the third column (concat the [name] with the same [mark])

我的 SQL 语句应该是什么来检索如下所示的记录:(按 [mark] 分组)。我已经完成了 1 和 2 列,但不知道如何完成第三列(将 [name] 与相同的 [mark] 连接起来)

mark count     names
---- -----     -----------
10       3     ABC,DEF,GHI
20       2     JKL,MNO
30       1     PQR

I'm using Microsoft SQL. Please help. Thanks

我正在使用 Microsoft SQL。请帮忙。谢谢

回答by Kirill Polishchuk

If MS SQL 2005 or higher.

如果 MS SQL 2005 或更高版本。

declare @t table([name] varchar(max), mark int)

insert @t values ('ABC', 10), ('DEF', 10), ('GHI', 10),
    ('JKL', 20), ('MNO', 20), ('PQR', 30)


select t.mark, COUNT(*) [count]
    ,STUFF((
        select ',' + [name]
        from @t t1
        where t1.mark = t.mark
        for xml path(''), type
    ).value('.', 'varchar(max)'), 1, 1, '') [values]
from @t t
group by t.mark


Output:

输出:

mark        count       values
----------- ----------- --------------
10          3           ABC,DEF,GHI
20          2           JKL,MNO
30          1           PQR

回答by Jerry Nixon

Here's a performance-related answer!

这是一个与性能相关的答案!

http://jerrytech.blogspot.com/2010/04/tsql-concatenate-strings-1-2-3-and.html

http://jerrytech.blogspot.com/2010/04/tsql-concatenate-strings-1-2-3-and.html

Using XML functions in a large query is a performance killer.

在大型查询中使用 XML 函数是性能杀手。

Using a CTE is a performance superstar.

使用 CTE 是性能超级明星。

Check out the link, it will explain how.

查看链接,它将解释如何。

I admit the work to accomplish it is more.

我承认完成它的工作更多。

But the result is milliseconds over millions of rows.

但结果是数百万行的毫秒数。

回答by woggles

polishchuks solution is more elegant, but this is basically the same thing, we just deal with the trailing comma differently.

Polishchuks 解决方案更优雅,但这基本上是一样的,我们只是以不同的方式处理尾随逗号。

CREATE TABLE #Marks(Name nchar(3), Mark int)

INSERT INTO #Marks

SELECT 'ABC', 10 UNION ALL
SELECT 'DEF', 10 UNION ALL
SELECT 'GHI', 10 UNION ALL
SELECT 'JKL', 20 UNION ALL
SELECT 'MNO', 20 UNION ALL
SELECT 'PQR', 30 


SELECT 
    mark,  
    [count],
    CASE WHEN Len(Names) > 0 THEN LEFT(Names, LEN(Names) -1) ELSE '' END names  
    FROM
(
SELECT
    Mark,
    COUNT(Mark) AS [count], 
        (
        SELECT DISTINCT 
            Name + ', '
        FROM 
            #Marks M1
        WHERE M1.Mark = M2.Mark
        FOR XML PATH('')    
        ) Names 
FROM #Marks M2
GROUP BY Mark
) M

回答by David Stevenson

Loosely based on Itzik Ben-Gan, Inside Microsoft SQL Server 2005: T-SQL Programming, p. 215:

松散地基于 Itzik Ben-Gan,Inside Microsoft SQL Server 2005:T-SQL Programming,p。215:

IF OBJECT_ID('dbo.Table1') IS NOT NULL 
    DROP TABLE dbo.Table1 ;
GO
CREATE TABLE dbo.Table1 ( Name VARCHAR(10), Mark INT ) ;

INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'ABC',     10 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'DEF',     10 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'GHI',     10 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'JKL',     20 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'MNO',     20 ) ;
INSERT INTO dbo.Table1 ( Name, Mark ) VALUES ( 'PQR',     30 ) ;


WITH DelimitedNames AS
(
    SELECT Mark, T2.Count,
        (   SELECT Name + ',' AS [text()]
            FROM dbo.Table1 AS T1
            WHERE T1.Mark = T2.Mark
            ORDER BY T1.Mark
            FOR XML PATH('')) AS Names
    FROM ( SELECT Mark, COUNT(*) AS Count FROM dbo.Table1 GROUP BY Mark ) AS T2 
)
SELECT Mark, Count, LEFT(Names, LEN(NAMES) - 1) AS Names
FROM DelimitedNames ;