MySql 利用函数 查询所有子节点
前提:mysql 函数 find_in_set(str,strlist), cast(value as type)
一、find_in_set(str,strlist):如果字符串str是在的strlist组成的N子串的字符串列表,返回值的范围为1到N。
如果str不在strlist或strlist为空字符串,则返回值为 0 。如任意一个参数为NULL,则返回值为 NULL。 这个函数在第一个参数包含一个逗号(',')时将无法正常运行。
①find_in_set(str,strlist)与in()的区别: 当find_in_set(str,strlist)中strlist的值是常数的时候,其效果就相当于in();
eg: select * from t_areainfo where FIND_IN_SET(name,'中国,华北区,华南区') == select * from t_areainfo where name in ('中国','华北区','华南区')
②find_ind_set(str,strlist)与like区别: like是广泛的模糊匹配,字符串中没有分隔符,Find_IN_SET 是精确匹配,字段值以英文”,”分隔,Find_IN_SET查询的结果要小于like查询的结果。
eg:
select * from t_areainfo t where t.`name` like '%XX区%'
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" alt="" />
select * from t_areainfo t where FIND_IN_SET('XX区',t.`name`) select * from t_areainfo t where FIND_IN_SET('北京XX区4',t.`name`)
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" 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" alt="" />
二、cast(value as type):用户数据类型转换
eg:cast('1' as int) 将char类型的值'1',转换成 int型的 1;
言归正传:使用mysql 函数来查找 所有子节点
DROP FUNCTION IF EXISTS queryChildrenAreaInfo;
CREATE FUNCTION `queryChildrenAreaInfo` (areaId INT) //创建一个函数 queryChildrenAreaInfo(areaId int) 参数为int型
RETURNS VARCHAR (4000) //定义返回值类型 varchar(4000)
BEGIN //函数开始
DECLARE sTemp VARCHAR (4000); //定义一个varchar类型的参数
DECLARE sTempChd VARCHAR (4000); //定义一个varchar类型的参数
SET sTemp = '$'; //给sTmp赋值
SET sTempChd = cast(areaId AS CHAR); //将函数中的int型的参数转换成 char型 赋值给sTempChd
WHILE sTempChd IS NOT NULL DO //循环体
SET sTemp = CONCAT(sTemp, ',', sTempChd); //拼接sTemp
SELECT group_concat(id) INTO sTempChd FROM t_areainfo WHERE FIND_IN_SET(parentId, sTempChd) > 0; //根据父节点,查询出该父节点下的所有子节点的id,支持多级查询
END WHILE;
RETURN sTemp;
END;
调用方式:
select * from t_areainfo t where FIND_IN_SET(id,queryChildrenAreaInfo(4))
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" 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