有时为避免循环操做数据库、列表展现等一些缘由须要将数据及关联数据批量加载进行集中处理,一种解决办法能够使用FOR XML PATH将多行数据合并成一列,达到字段拼接的效果。例若有两个表,数据库
部门表T_Dept:ide
员工表T_Emp:spa
须要查询每一个部门下的员工姓名,查询语句:3d
1 SELECT ROW_NUMBER() OVER (ORDER BY DeptId) AS Row, DeptName 2 , LEFT(A.EmpName, LEN(A.EmpName) - 1) AS EmpName 3 FROM ( 4 SELECT DeptId, EmpName = ( 5 SELECT EmpName + ',' 6 FROM T_Emp emp2 7 WHERE emp2.DeptId = emp1.DeptId 8 FOR XML PATH('') 9 ) 10 FROM T_Emp emp1 11 GROUP BY emp1.DeptId 12 ) A 13 LEFT JOIN T_Dept dept ON dept.Id = A.DeptId
结果集:code
也能够这样写:blog
1 SELECT ROW_NUMBER() OVER (ORDER BY Id) AS Row, DeptName 2 , LEFT(A.EmpName, LEN(A.EmpName) - 1) AS EmpName 3 FROM ( 4 SELECT Id, DeptName, EmpName = ( 5 SELECT EmpName + ',' 6 FROM T_Emp emp1 7 WHERE emp1.DeptId = dept.Id 8 FOR XML PATH('') 9 ) 10 FROM T_Dept dept 11 ) A
结果集:资源
SQL脚本:class
1 CREATE TABLE [dbo].[T_Dept]( 2 3 [Id] [int] IDENTITY(1,1) NOT NULL, 4 5 [DeptName] [nvarchar](10) NULL, 6 7 CONSTRAINT [PK_T_Dept] PRIMARY KEY CLUSTERED 8 9 ( 10 11 [Id] ASC 12 13 )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] 14 15 ) ON [PRIMARY] 16 17 GO 18 19 20 21 CREATE TABLE [dbo].[T_Emp]( 22 23 [Id] [int] IDENTITY(1,1) NOT NULL, 24 25 [DeptId] [int] NULL, 26 27 [EmpName] [nvarchar](10) NULL, 28 29 CONSTRAINT [PK_T_Emp_1] PRIMARY KEY CLUSTERED 30 31 ( 32 33 [Id] ASC 34 35 )WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY] 36 37 ) ON [PRIMARY] 38 39 GO 40 41 42 43 ALTER TABLE [dbo].[T_Emp] WITH CHECK ADD CONSTRAINT [FK_T_Emp_T_Dept] FOREIGN KEY([DeptId]) 44 45 REFERENCES [dbo].[T_Dept] ([Id]) 46 47 GO 48 49 50 51 ALTER TABLE [dbo].[T_Emp] CHECK CONSTRAINT [FK_T_Emp_T_Dept] 52 53 GO 54 55 56 57 INSERT INTO [dbo].[T_Dept] 58 SELECT '销售部' 59 UNION ALL 60 SELECT '研发部' 61 UNION ALL 62 SELECT '人力资源部' 63 UNION ALL 64 SELECT '行政部' 65 UNION ALL 66 SELECT '财务部' 67 68 69 70 INSERT INTO [dbo].[T_Emp] 71 SELECT '1', 'Tom' 72 UNION ALL 73 SELECT '1', 'John' 74 UNION ALL 75 SELECT '2', 'Blue' 76 UNION ALL 77 SELECT '2', 'Banks' 78 UNION ALL 79 SELECT '3', 'Niki' 80 UNION ALL 81 SELECT '3', 'Yuki' 82 UNION ALL 83 SELECT '5', '小明'