考虑一个包含名称的数据库表,其中有三行:
Peter
Paul
Mary
有没有一种简单的方法可以把它变成彼得、保罗、玛丽的一串?
考虑一个包含名称的数据库表,其中有三行:
Peter
Paul
Mary
有没有一种简单的方法可以把它变成彼得、保罗、玛丽的一串?
当前回答
我通常使用这样的select连接SQL Server中的字符串:
with lines as
(
select
row_number() over(order by id) id, -- id is a line id
line -- line of text.
from
source -- line source
),
result_lines as
(
select
id,
cast(line as nvarchar(max)) line
from
lines
where
id = 1
union all
select
l.id,
cast(r.line + N', ' + l.line as nvarchar(max))
from
lines l
inner join
result_lines r
on
l.id = r.id + 1
)
select top 1
line
from
result_lines
order by
id desc
其他回答
SQL Server 2005或更高版本
CREATE TABLE dbo.Students
(
StudentId INT
, Name VARCHAR(50)
, CONSTRAINT PK_Students PRIMARY KEY (StudentId)
);
CREATE TABLE dbo.Subjects
(
SubjectId INT
, Name VARCHAR(50)
, CONSTRAINT PK_Subjects PRIMARY KEY (SubjectId)
);
CREATE TABLE dbo.Schedules
(
StudentId INT
, SubjectId INT
, CONSTRAINT PK__Schedule PRIMARY KEY (StudentId, SubjectId)
, CONSTRAINT FK_Schedule_Students FOREIGN KEY (StudentId) REFERENCES dbo.Students (StudentId)
, CONSTRAINT FK_Schedule_Subjects FOREIGN KEY (SubjectId) REFERENCES dbo.Subjects (SubjectId)
);
INSERT dbo.Students (StudentId, Name) VALUES
(1, 'Mary')
, (2, 'John')
, (3, 'Sam')
, (4, 'Alaina')
, (5, 'Edward')
;
INSERT dbo.Subjects (SubjectId, Name) VALUES
(1, 'Physics')
, (2, 'Geography')
, (3, 'French')
, (4, 'Gymnastics')
;
INSERT dbo.Schedules (StudentId, SubjectId) VALUES
(1, 1) --Mary, Physics
, (2, 1) --John, Physics
, (3, 1) --Sam, Physics
, (4, 2) --Alaina, Geography
, (5, 2) --Edward, Geography
;
SELECT
sub.SubjectId
, sub.Name AS [SubjectName]
, ISNULL( x.Students, '') AS Students
FROM
dbo.Subjects sub
OUTER APPLY
(
SELECT
CASE ROW_NUMBER() OVER (ORDER BY stu.Name) WHEN 1 THEN '' ELSE ', ' END
+ stu.Name
FROM
dbo.Students stu
INNER JOIN dbo.Schedules sch
ON stu.StudentId = sch.StudentId
WHERE
sch.SubjectId = sub.SubjectId
ORDER BY
stu.Name
FOR XML PATH('')
) x (Students)
;
在SQL Server 2005中
SELECT Stuff(
(SELECT N', ' + Name FROM Names FOR XML PATH(''),TYPE)
.value('text()[1]','nvarchar(max)'),1,2,N'')
在SQL Server 2016中
可以使用FOR JSON语法
即
SELECT per.ID,
Emails = JSON_VALUE(
REPLACE(
(SELECT _ = em.Email FROM Email em WHERE em.Person = per.ID FOR JSON PATH)
,'"},{"_":"',', '),'$[0]._'
)
FROM Person per
结果会变成
Id Emails
1 abc@gmail.com
2 NULL
3 def@gmail.com, xyz@gmail.com
即使您的数据包含无效的XML字符,这也会起作用
“”},{“_”:“”是安全的,因为如果您的数据包含“”},{”_“:“”,它将被转义为“},{\”_\“:\”
可以用任何字符串分隔符替换“,”
在SQL Server 2017中,Azure SQL数据库
您可以使用新的STRING_AGG函数
在Chris Shaffer的回答之上:
如果您的数据可能会重复,例如
Tom
Ali
John
Ali
Tom
Mike
而不是汤姆、阿里、约翰、阿里、汤姆、迈克
您可以使用DISTINCT避免重复,并让Tom、Ali、John、Mike:
DECLARE @Names VARCHAR(8000)
SELECT DISTINCT @Names = COALESCE(@Names + ',', '') + Name
FROM People
WHERE Name IS NOT NULL
SELECT @Names
提出了递归CTE解决方案,但没有提供代码。下面的代码是递归CTE的示例。
请注意,虽然结果与问题相符,但数据与给定的描述并不完全相符,因为我假设您确实希望对行组(而不是表中的所有行)执行此操作。将其更改为与表中的所有行相匹配是读者的练习。
;WITH basetable AS (
SELECT
id,
CAST(name AS VARCHAR(MAX)) name,
ROW_NUMBER() OVER (Partition BY id ORDER BY seq) rw,
COUNT(*) OVER (Partition BY id) recs
FROM (VALUES
(1, 'Johnny', 1),
(1, 'M', 2),
(2, 'Bill', 1),
(2, 'S.', 4),
(2, 'Preston', 5),
(2, 'Esq.', 6),
(3, 'Ted', 1),
(3, 'Theodore', 2),
(3, 'Logan', 3),
(4, 'Peter', 1),
(4, 'Paul', 2),
(4, 'Mary', 3)
) g (id, name, seq)
),
rCTE AS (
SELECT recs, id, name, rw
FROM basetable
WHERE rw = 1
UNION ALL
SELECT b.recs, r.ID, r.name +', '+ b.name name, r.rw + 1
FROM basetable b
INNER JOIN rCTE r ON b.id = r.id AND b.rw = r.rw + 1
)
SELECT name
FROM rCTE
WHERE recs = rw AND ID=4
OPTION (MAXRECURSION 101)
MySQL完整示例:
我们有很多用户可以拥有大量数据,我们希望有一个输出,我们可以在列表中看到所有用户的数据:
结果:
___________________________
| id | rowList |
|-------------------------|
| 0 | 6, 9 |
| 1 | 1,2,3,4,5,7,8,1 |
|_________________________|
表格设置:
CREATE TABLE `Data` (
`id` int(11) NOT NULL,
`user_id` int(11) NOT NULL
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=latin1;
INSERT INTO `Data` (`id`, `user_id`) VALUES
(1, 1),
(2, 1),
(3, 1),
(4, 1),
(5, 1),
(6, 0),
(7, 1),
(8, 1),
(9, 0),
(10, 1);
CREATE TABLE `User` (
`id` int(11) NOT NULL
) ENGINE=InnoDB DEFAULT CHARSET=latin1;
INSERT INTO `User` (`id`) VALUES
(0),
(1);
查询:
SELECT User.id, GROUP_CONCAT(Data.id ORDER BY Data.id) AS rowList FROM User LEFT JOIN Data ON User.id = Data.user_id GROUP BY User.id