1.表结构 CREATE TABLE folder( id BIGINT(20) NOT NULL, parent_id BIGINT(20) DEFAULT NULL, PRIMARY KEY id ); 2.根据传入id查询所有子节点及其的id 创建函数: CREATE FUNCTION `getParList`(rootId BIGINT) RETURNS varchar(1000) BEGIN DECLARE sTemp VARCHAR(1000); DECLARE s
包含mysql 递归查询父节点 和子节点 mysql递归查询,查父集合,查子集合 查子集合 --drop FUNCTION `getChildList` CREATE FUNCTION `getChildList`(rootId varchar()) RETURNS varchar() BEGIN DECLARE str varchar(); DECLARE cid varchar(); SET str = '$'; SET cid = rootId; WHILE cid is not null
根据id查询父节点,具体需要修改的地方笔者已在注释中给大家作了注解 DELIMITER $$ USE `yjlc_platform`$$ -- getCompanyParent 为函数名 DROP FUNCTION IF EXISTS `getCompanyParent`$$ -- getCompanyParent 为函数名 rootId为参数,可以自定义:初学者可以不用更改 )) ) CHARSET utf8 BEGIN ); ); SET ptemp = '#'; SET ctemp = r
查父集合 --drop FUNCTION `getParentList` )) ) BEGIN ) default ''; ) default rootId; WHILE rootId is not null do SET fid =(SELECT parentid FROM treeNodes WHERE id = rootId); IF fid is not null THEN SET str = concat(str, ',', fid); SET rootId = fid; ELSE S
表结构和表数据就不公示了,查询的表user_role,主键是id,每条记录有parentid字段; 如下mysql查询函数即可实现根据一个节点查询所有的子节点,根据一个子节点查询所有的父节点.对于数据量较大的时候(我这里测试的1万条左右).查询效率非常慢.建议在java代码中进行处理. CREATE FUNCTION `getChildList`(rootId INT) ) BEGIN ); ); SET sChildTemp =cast(rootId as CHAR); WHILE sChil
T-Sql 递归查询(给定节点查所有父节点.所有子节点的方法) -- 查找所有父节点with tab as( select Type_Id,ParentId,Type_Name from Sys_ParamType_V2_0 where Type_Id=316--子节点 union all select b.Type_Id,b.ParentId,b.Type_Name from tab a,--子节点数据集 Sys_ParamType_V2_0 b --父节点数据集 where a.
-- 查找所有父节点with tab as( select Type_Id,ParentId,Type_Name from Sys_ParamType_V2_0 where Type_Id=316--子节点 union all select b.Type_Id,b.ParentId,b.Type_Name from tab a,--子节点数据集 Sys_ParamType_V2_0 b --父节点数据集 where a.ParentId=b.Type_Id --子节点数据集.paren
--------------------01.向上查找所有父节点-----------------WITH TEMP AS (SELECT * FROM CO_Department WHERE ID=11 --表的IDUNION ALL SELECT T0.* FROM TEMP,CO_Department T0 WHERE TEMP.ParentID=T0.ID --父级ID==子级ID)SELECT * FROM TEMP; 如图:根据"测试组"查找所有父节点 执行结果
喜欢就点个赞呗! 源码<--请点击此处查看 引入 当我看到一些评论时,例如下面的样子.我挺好奇这个功能是怎么样做出来的.进过查阅资料,发现这其实是 MySQL 的递归操作.下面就让我操作一下怎么实现 MySQL 的递归查询. 设计数据库 观察这种数据库设计,你会发现他都有一个父节点,一直到根节点,所以我们设计数据库的时候,应该设置一个 parentid 字段.所以,我们可以得到以下的数据库. sql 脚本如下 CREATE TABLE digui( id INT(11) NOT null aut
--查询ID = '009'的所有父节点 ' ;WITH T AS ( SELECT ID , PID , NAME FROM TB WHERE ID = @ID UNION ALL SELECT A.ID , A.PID , A.NAME FROM TB AS A JOIN T AS B ON A.ID = B.PID ) SELECT * FROM T ORDER BY ID /* ID PID NAME ---- ---- ---------- 001 NULL 广东省 003 001 深
Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree. According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has both v and w
Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST. According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes v and w as the lowest node in T that has
查找所有的父节点,包括本身,不包括就<>id with tbs as(select * from TB_HomeBase where ID=223 union all select a.* from TB_HomeBase a inner join tbs b on a.id=b.ParentID) select top 1 ID FROM ( select *,ROW_NUMBER() over (order by FirstID)as tt from tbs) AS A ORDER BY