将Rows组合成SQL Server中的单行

Question

DECLARE @Count BIGINT 

SELECT @Count = Count(ID) 
FROM Users; 

SELECT TOP 50  
    CustUser.[ID],
    CustUser.[FirstName] + ' ' + CustUser.[LastName] FirstName,
    CustUser.[NickName],
    CustUser.[UserName],
    R.[Name] Roles     
FROM
    (SELECT       
         ROW_NUMBER() OVER(ORDER BY US.ID Desc) AS Row,
         US.[ID], US.[FirstName], US.[LastName], US.[NickName],
         US.[UserName], US.[Password]
     FROM 
         [Users] US) CustUser
LEFT JOIN 
    Category CL ON CustUser.[LoginModeCode] = CL.CategoryCode
LEFT JOIN 
    Category CS ON CustUser.[StatusCode] = CS.CategoryCode 
LEFT JOIN
    UserRoles UR ON UR.UserID = CustUser.ID
LEFT JOIN
    Roles R ON R.ID = UR.RoleID
WHERE 
    CustUser.ID = 3 AND 
    [Row] > (1 - 1) * 50  
ORDER BY
    FirstName

此查询返回以下输出

ID   FirstName       NickName          UserName             Roles                
----------------------------------------------------------------------------
3     ram              jk                 ram               Developer          
3     ram              jk                 ram               TeamLeader  

角色仅在上面的行中有所不同。我正在组合两行。

但我想要这个输出

 ID   FirstName   NickName    UserName    Roles                                            
 --------------------------------------------------------------
 3    ram            jk         ram       Developer, TeamLeader

Answer 1

--Test Data
CREATE TABLE #Temp_table(
    ID   int,
    FirstName            nvarchar(200),
    NickName   nvarchar(200),
    UserName             nvarchar(200),
    Roles                 nvarchar(200)
);
INSERT INTO #Temp_table VALUES (3,'ram','jk','ram','Developer');
INSERT INTO #Temp_table VALUES (3,'ram','jk','ram','TeamLeader');
INSERT INTO #Temp_table VALUES (3,'ram','jk','ram','XXXLeader');

--change temp_table to your select table
select ID,FirstName,NickName,UserName,
    STUFF((
        SELECT ', ' + Roles 
        FROM #Temp_table 
        FOR XML PATH(''),TYPE).value('(./text())[1]','VARCHAR(MAX)')
    ,1,2,'') Roles
from #Temp_table
group by ID,FirstName,NickName,UserName;