没多少技术含量,在简单的系统里应用问题不大;
解决的问题是:
1.树结构数据的表设计;
2.对任意一个节点,找到他所有的上级节点
3.对任意一个节点,找到他所有的下级节点
这里的部分SQL是同事给的,具体出处不详;废话不多说,直接看例子吧;
1. 表设计,以比较常见的组织机构表为例,典型的树结构
create table Orgnization (
ID int not null,
Name nvarchar(50) not null,
Description nvarchar(300) null,
Leader nvarchar(50) null,
Status int null,
Parent int not null,
Path varchar(100) not null,
constraint PK_ORGNIZATION primary key (ID)
)
其中,Parent表示上级机构的ID,没有上级机构的话,就填0;
需要关注的是Path字段,由所有上级节点ID拼成的字符串,以逗号分隔,如: 0,1,4 , 4是父,1是爷,0是祖宗,依次类推
2.为方便测试,插入一些数据
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(1, 'XXX集团', null, null, null, 0, '');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(2, '111事业部', null, null, null, 1, '0,1');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(3, '222事业部', null, null, null, 1, '0,1');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(4, '333事业部', null, null, null, 1, '0,1');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(5, 'xxx部', null, null, null, 2, '0,1,2');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(6, 'xxx2部', null, null, null, 2, '0,1,2');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(7, 'XXX3部', null, null, null, 2, '0,1,2');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(8, 'yyy部', null, null, null, 3, '0,1,3');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(9, 'zzz部', null, null, null, 4, '0,1,4');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(10, 'aaa组', null, null, null, 5, '0,1,2,5');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(11, 'aaa2组', null, null, null, 5, '0,1,2,5');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(12, 'aaa3组', null, null, null, 10, '0,1,2,5,10');
INSERT INTO Orgnization([ID], [Name], [Description], [Leader], [Status], [Parent], [Path]) VALUES(13, 'bbb组', null, null, null, 9, '0,1,4,9');
3. 找到所有上级节点
;with f as
(
select ID, Name,Parent,Path from Orgnization where [ID]= ''
union all
select a.ID,a.Name, a.Parent, a.Path from Orgnization a join f b on a.[ID]=b.[Parent]
)
select * from f order by Path asc
4.找到所有下级节点
这个相对复杂一点,这里采用的方式通过创建和调用SQL函数解决
4.1 创建一个字符串拆分split函数,用于解析类似0,1,4这种csv格式
/****** Object: UserDefinedFunction [dbo].[m_split] Script Date: ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
create function [dbo].[m_split](@c varchar(2000),@split varchar(2))
returns @t table(col varchar(200))
as
begin
while(charindex(@split,@c) <>0)
begin
insert @t(col) values (substring(@c,1,charindex(@split,@c)-1))
set @c = stuff(@c,1,charindex(@split,@c),'')
-- SET @c = substring(@c,charindex(' ',@c)+1,len(@c))
end
insert @t(col) values (@c)
return
end
GO
4.2 创建一个用于在Path中匹配节点ID的函数
/****** Object: UserDefinedFunction [dbo].[GetState] ******/
SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO
create function [dbo].[GetState](@s1 varchar(2000),@s2 varchar(2000))
returns int
as
begin
declare @i int
declare @j int
declare @k int
select @i=count(a.col) from dbo.m_split(@s1,',') a
right join (
select * from dbo.m_split(@s2,',')) b
on
a.col=b.col
where a.col is not null select @j=count(col) from dbo.m_split(@s1,',')
where col is not null if(@i=@j)
set @k=0
else
set @k=1
return @k
end GO
4.3 执行查询语句
select * from dbo.orgnization where dbo.GetState('', Path) = ''