考虑一个包含姓名的数据库表格,有三行:
Peter
Paul
Mary
有没有简单的方法将这些内容转换成一个字符串:
Peter, Paul, Mary
?考虑一个包含姓名的数据库表格,有三行:
Peter
Paul
Mary
Peter, Paul, Mary
?这也可以很有用
create table #test (id int,name varchar(10))
--use separate inserts on older versions of SQL Server
insert into #test values (1,'Peter'), (1,'Paul'), (1,'Mary'), (2,'Alex'), (3,'Jack')
DECLARE @t VARCHAR(255)
SELECT @t = ISNULL(@t + ',' + name, name) FROM #test WHERE id = 1
select @t
drop table #test
返回值
Peter,Paul,Mary
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)
;
这里是实现此目标的完整解决方案:
-- Table Creation
CREATE TABLE Tbl
( CustomerCode VARCHAR(50)
, CustomerName VARCHAR(50)
, Type VARCHAR(50)
,Items VARCHAR(50)
)
insert into Tbl
SELECT 'C0001','Thomas','BREAKFAST','Milk'
union SELECT 'C0001','Thomas','BREAKFAST','Bread'
union SELECT 'C0001','Thomas','BREAKFAST','Egg'
union SELECT 'C0001','Thomas','LUNCH','Rice'
union SELECT 'C0001','Thomas','LUNCH','Fish Curry'
union SELECT 'C0001','Thomas','LUNCH','Lessy'
union SELECT 'C0002','JOSEPH','BREAKFAST','Bread'
union SELECT 'C0002','JOSEPH','BREAKFAST','Jam'
union SELECT 'C0002','JOSEPH','BREAKFAST','Tea'
union SELECT 'C0002','JOSEPH','Supper','Tea'
union SELECT 'C0002','JOSEPH','Brunch','Roti'
-- function creation
GO
CREATE FUNCTION [dbo].[fn_GetItemsByType]
(
@CustomerCode VARCHAR(50)
,@Type VARCHAR(50)
)
RETURNS @ItemType TABLE ( Items VARCHAR(5000) )
AS
BEGIN
INSERT INTO @ItemType(Items)
SELECT STUFF((SELECT distinct ',' + [Items]
FROM Tbl
WHERE CustomerCode = @CustomerCode
AND Type=@Type
FOR XML PATH(''))
,1,1,'') as Items
RETURN
END
GO
-- fianl Query
DECLARE @cols AS NVARCHAR(MAX),
@query AS NVARCHAR(MAX)
select @cols = STUFF((SELECT distinct ',' + QUOTENAME(Type)
from Tbl
FOR XML PATH(''), TYPE
).value('.', 'NVARCHAR(MAX)')
,1,1,'')
set @query = 'SELECT CustomerCode,CustomerName,' + @cols + '
from
(
select
distinct CustomerCode
,CustomerName
,Type
,F.Items
FROM Tbl T
CROSS APPLY [fn_GetItemsByType] (T.CustomerCode,T.Type) F
) x
pivot
(
max(Items)
for Type in (' + @cols + ')
) p '
execute(@query)
该方法仅适用于Teradata Aster数据库,因为它使用其NPATH函数。
同样,我们有一个名为Students的表格。
SubjectID StudentName
---------- -------------
1 Mary
1 John
1 Sam
2 Alaina
2 Edward
SELECT * FROM npath(
ON Students
PARTITION BY SubjectID
ORDER BY StudentName
MODE(nonoverlapping)
PATTERN('A*')
SYMBOLS(
'true' as A
)
RESULT(
FIRST(SubjectID of A) as SubjectID,
ACCUMULATE(StudentName of A) as StudentName
)
);
结果:
SubjectID StudentName
---------- -------------
1 [John, Mary, Sam]
2 [Alaina, Edward]
表定义
CREATE TABLE "NAMES" ("NAME" VARCHAR2(10 BYTE))) ;
INSERT INTO NAMES VALUES('PETER');
INSERT INTO NAMES VALUES('PAUL');
INSERT INTO NAMES VALUES('MARY');
程序从这里开始
DECLARE
MAXNUM INTEGER;
CNTR INTEGER := 1;
C_NAME NAMES.NAME%TYPE;
NSTR VARCHAR2(50);
BEGIN
SELECT MAX(ROWNUM) INTO MAXNUM FROM NAMES;
LOOP
SELECT NAME INTO C_NAME FROM
(SELECT ROWNUM RW, NAME FROM NAMES ) P WHERE P.RW = CNTR;
NSTR := NSTR ||','||C_NAME;
CNTR := CNTR + 1;
EXIT WHEN CNTR > MAXNUM;
END LOOP;
dbms_output.put_line(SUBSTR(NSTR,2));
END;
结果
PETER,PAUL,MARY
虽然我的列表中不到10个项目,我并没有对性能进行任何分析,但当我浏览了30多个答案后,我仍然对已经给出的相似答案有了新的想法,类似于使用COALESCE来处理单个组列表,并且甚至不需要设置变量(默认为NULL),它假定源数据表中的所有条目都是非空的:
DECLARE @MyList VARCHAR(1000), @Delimiter CHAR(2) = ', '
SELECT @MyList = CASE WHEN @MyList > '' THEN @MyList + @Delimiter ELSE '' END + FieldToConcatenate FROM MyData
在SQL Server中,一种方法是将表内容作为XML返回(使用for XML raw),将结果转换为字符串,然后用", "替换标签。
SELECT array_to_string(array_agg(DISTINCT rolname), ',') FROM pg_catalog.pg_roles;
SELECT STRING_AGG(rolname::text,',') FROM pg_catalog.pg_roles;
虽然现在已经有很多解决方案,但这里提供一个简单的MySQL解决方案:
SELECT t1.id,
GROUP_CONCAT(t1.id) ids
FROM table t1 JOIN table t2 ON (t1.id = t2.id)
GROUP BY t1.id
-- Create example table
CREATE TABLE tmptable (NAME VARCHAR(30)) ;
-- Insert example data
INSERT INTO tmptable VALUES('PETER');
INSERT INTO tmptable VALUES('PAUL');
INSERT INTO tmptable VALUES('MARY');
-- Recurse query
with tblwithrank as (
select * , row_number() over(order by name) rang , count(*) over() NbRow
from tmptable
),
tmpRecursive as (
select *, cast(name as varchar(2000)) as AllName from tblwithrank where rang=1
union all
select f0.*, cast(f0.name + ',' + f1.AllName as varchar(2000)) as AllName
from tblwithrank f0 inner join tmpRecursive f1 on f0.rang=f1.rang +1
)
select AllName from tmpRecursive
where rang=NbRow