MySQL:如何在特定节点中查找叶子

我知道这类问题已经在这里多次发布,例如:Java方式

我在标准树模式的数据量庞大(150K +)( , id,)parent_id``some_data

如何获取给定node_id的叶子?

表结构:

CREATE TABLE `DATA_TREE` (

`ID` int(11) NOT NULL,

`PARENT_ID` int(11) NOT NULL,

`DATA` varchar(45) DEFAULT NULL,

PRIMARY KEY (`ID`),

UNIQUE KEY `ID_UNIQUE` (`ID`),

KEY `fk_DATA_TREE_1_idx` (`PARENT_ID`),

CONSTRAINT `fk_DATA_TREE_1` FOREIGN KEY (`PARENT_ID`) REFERENCES `DATA_TREE` (`ID`) ON DELETE NO ACTION ON UPDATE NO ACTION

) ENGINE=InnoDB DEFAULT CHARSET=utf

数据库: MySQL 5.1.61

回答:

无法在单个查询中执行此操作。即使有,它也可能效率很低。

我们可以通过存储过程和循环来实现。使用添加的索引,它也应该很快。这使用两个表从输入表(A)中选择节点,并将该节点及其子级插入(B)。然后,它将B交换为A,并重复执行直到直到A中不再存在非叶节点为止。可喜的是,循环迭代的数量将与输入节点和最后一个叶节点之间的级别一样多,在大多数情况下,循环迭代次数为可能没有那么深。此存储过程比在代码中进行外部存储过程要快。

仅供参考,我在安装临时表时遇到了困难,如果遇到“错误2”,请删除临时关键字。

delimiter $$

drop procedure if exists GetLeafNodes $$

create procedure GetLeafNodes(nodeid int)

begin

declare N int default 1;

-- create two working sets of IDs, we'll go back and forth between these two sets

drop temporary table if exists A;

drop temporary table if exists B;

create temporary table A(node int, child int);

create temporary table B(node int, child int);

-- insert our single input node into the working set

insert into A values (null, nodeid);

while (N>0) do

-- keep selecting child nodes for each node we are now tracking

-- leaf nodes will end up with the child set to null

insert into B

select ifnull(A.child,A.node), tree.ID

from A

left outer join DATA_TREE as tree on A.child=tree.parent_id;

-- now swap A and B

rename table A to temp, B to A, temp to B;

-- remove non-leaf nodes from table B

delete from B;

-- exit when there are no longer any non-leaf nodes in A

set N=(select count(*) from A where child is not null);

end while;

-- now output our list of leaf nodes

select node from A;

drop temporary table A;

drop temporary table B;

end $$

DELIMITER ;

call GetLeafNodes(4);

我使用以下样本集进行测试:

CREATE TABLE `DATA_TREE` (

`ID` int(11) NOT NULL,

`PARENT_ID` int(11) NOT NULL,

PRIMARY KEY (`ID`),

UNIQUE KEY `ID_UNIQUE` (`ID`),

KEY `fk_DATA_TREE_1_idx` (`PARENT_ID`)

) ENGINE=InnoDB

;

insert into DATA_TREE values

(1,0),(2,1),(3,1),(4,1),(5,3),(6,3),(7,4),(8,4),(9,4),(10,6),(11,6),(12,7),(13,9),(14,9),(15,12),(16,12),(17,12),(18,14);

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