1.使SQL实现树形查询
1.1 树形结构固定,即固定几层结构,可以采用数据库连接查询,这里以两张表为例:
select one.id,
one.label,
two.id,
two.label
from course_category one
inner join course_category two on two.parentid = one.id
where one.parentid = '1'
and one.is_show = '1'
and two.is_show = '1'
order by one.orderby, two.orderby
2.2 树形结构可能变化,采用数据库的递归进行查询
with recursive t1 as (select *
from course_category
where id = '1'
union all
select t2.*
from course_category t2
inner join t1 on t2.parentid = t1.id)
select *
from t1
order by t1.id, t1.orderby;
2.Java代码实现
1.递归查询数据库
public List<Menu> findMenu(long parentID) {
QueryWrapper queryWrapper = new QueryWrapper<>();
//查询条件
queryWrapper.eq("parentid", parentID);
//这里传入的值为父节点的id,比如第一次进入网页这里一定是根节点的id 如果点击展开的话就是要展开节点的id 即子节点的父id
List<Menu> list = baseMapper.selectList(queryWrapper);
for (Menu menu : list) {
//递归子类数据
menu.setChildMenu(findMenu(menu.getID()));
}
return list;
}
2.一次性全部查询出来,用Java代码实现数据的树形分解文章来源:https://www.toymoban.com/news/detail-626203.html
public class TreeDemo{
public static void main(String[] args) {
List<TreeEntity> treeList = init();
List<TreeEntity> collect = treeList.stream()
.filter(item -> item.getPid() == 0)//构造最外层节点,即id=0的节点
.map(item -> {
item.setChildrenList(getChildren(item, treeList));//id=0的节点就为他设置孩子节点
return item;
}).
collect(Collectors.toList());
System.out.println(new Gson().toJsonTree(collect));
}
//获得孩子节点
private static List<TreeEntity> getChildren(TreeEntity treeEntity, List<TreeEntity> treeEntityList) {
List<TreeEntity> collect = treeEntityList.stream()
.filter(item -> item.getPid().equals(treeEntity.getId()))//判断当前节点的父id是不是要设置节点的id
.map(item -> {
item.setChildrenList(getChildren(item, treeEntityList));//如果是 为其设置孩子节点 通过递归 为每个除了最外层节点的节点设置孩子节点
return item;
})
.collect(Collectors.toList());
return collect;
}
}
注:以上Java代码粘贴自网络文章来源地址https://www.toymoban.com/news/detail-626203.html
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