目录
- 概述
- 1、数据准备
- 2 start with connect by prior递归查询
- 2.1 查询所有子节点
- 2.2 查询所有父节点
- 2.3 查询指定节点的根节点
- 2.4 查询下行政组织递归路径
- 3 with递归查询
- 3.1 with递归子类
- 3.2 递归父类
- 4 MySQL 递归查找树形结构
- 总结
概述
实际生活有很多树形结构的数据,比如公司分为多个部门,部门下分为多个组,组下分为多个员工;省市县的归属;页面菜单栏等等。
如果想查询某个节点的父节点或者子节点,一般通过表自身连接完成,但如果该节点的子节点还有多层结构,就需要使用递归调用。但如果数据量特别大,递归的次数指数级上升,而且查询数据库的次数也指数级上升,导致程序和数据库压力剧增,查询时间特别长。那数据库有没有递归查询语句呢?答案是肯定的。
start with connect by prior 递归查询
1、数据准备
create table area_test(
id number() not null,
parent_id number(),
name varchar(255) not null
);
alter table area_test add (constraint district_pk primary key (id));
insert into area_test (ID, PARENT_ID, NAME) values (, null, '中国');
insert into area_test (ID, PARENT_ID, NAME) values (, 1, '河南省');
insert into area_test (ID, PARENT_ID, NAME) values (, 1, '北京市');
insert into area_test (ID, PARENT_ID, NAME) values (, 11, '郑州市');
insert into area_test (ID, PARENT_ID, NAME) values (, 11, '平顶山市');
insert into area_test (ID, PARENT_ID, NAME) values (, 11, '洛阳市');
insert into area_test (ID, PARENT_ID, NAME) values (, 11, '新乡市');
insert into area_test (ID, PARENT_ID, NAME) values (, 11, '南阳市');
insert into area_test (ID, PARENT_ID, NAME) values (, 12, '朝阳区');
insert into area_test (ID, PARENT_ID, NAME) values (, 12, '昌平区');
insert into area_test (ID, PARENT_ID, NAME) values (, 111, '二七区');
insert into area_test (ID, PARENT_ID, NAME) values (, 111, '中原区');
insert into area_test (ID, PARENT_ID, NAME) values (, 111, '新郑市');
insert into area_test (ID, PARENT_ID, NAME) values (, 111, '经开区');
insert into area_test (ID, PARENT_ID, NAME) values (, 111, '金水区');
insert into area_test (ID, PARENT_ID, NAME) values (, 112, '湛河区');
insert into area_test (ID, PARENT_ID, NAME) values (, 112, '舞钢市');
insert into area_test (ID, PARENT_ID, NAME) values (, 112, '宝丰市');
insert into area_test (ID, PARENT_ID, NAME) values (, 1122, '尚店镇');
2 start with connect by prior递归查询
- start with 子句:遍历起始条件。如果要查父结点,这里可以用子结点的列,反之亦然。
- connect by 子句:连接条件。prior 跟父节点列parentid放在一起,就是往父结点方向遍历;prior 跟子结点列subid放在一起,则往叶子结点方向遍历。parent_id、id两列谁放在 “=” 前都无所谓,关键是prior跟谁在一起。
- order by 子句:排序。
常用的select项:
LEVEL:级别
connect_by_root:根节点
sys_connect_by_path:递归路径
2.1 查询所有子节点
select t.*,LEVEL
from area_test t
start with name ='郑州市'
connect by prior id=parent_id
其实,如果单层结构,使用表自身连接也可以实现:
select * from area_test t,area_test t2
where t.PARENT_ID = t2.ID and t2.name='郑州市';
当查询节点下有多层数据:
select t.*,LEVEL
from area_test t
start with name ='河南省'
connect by prior id=parent_id
select * from area_test t,area_test t2
where t.PARENT_ID = t2.ID and t2.name='河南省';
如果使用自身连接,也只能查到子一级节点的数据,需要遍历子一级节点,递归查询每个子一级节点下的子节点。明显麻烦很多!!!
2.2 查询所有父节点
select t.*,level
from area_test t
start with name ='郑州市'
connect by prior t.parent_id=t.id
order by level asc;
2.3 查询指定节点的根节点
select d.*,
connect_by_root(d.id) rootid,
connect_by_root(d.name) rootname
from area_test d
where name='二七区'
start with d.parent_id IS NULL
connect by prior d.id=d.parent_id
select d.*,
connect_by_root(d.id) rootid,
connect_by_root(d.name) rootname
from area_test d
start with d.parent_id IS NULL
connect by prior d.id=d.parent_id
2.4 查询下行政组织递归路径
select id, parent_id, name, sys_connect_by_path(name, '->') namepath, level
from area_test
start with name = '平顶山市'
connect by prior id = parent_id
3 with递归查询
3.1 with递归子类
with tmp(id, parent_id, name)
as (
select id, parent_id, name
from area_test
where name = '平顶山市'
union all
select d.id, d.parent_id, d.name
from tmp, area_test d
where tmp.id = d.parent_id
)
select * from tmp;
3.2 递归父类
with tmp(id, parent_id, name)
as
(
select id, parent_id, name
from area_test
where name = '二七区'
union all
select d.id, d.parent_id, d.name
from tmp, area_test d
where tmp.parent_id = d.id
)
select * from tmp;