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MySQL CTE (Common Table Expressions)示例全解析

2025年07月26日 Mysql 我要评论
cte (common table expression,公共表表达式) 是 mysql 8.0 引入的重要特性,它允许在查询中创建临时命名结果集,提高复杂查询的可读性和可维护性。基本语法with c

cte (common table expression,公共表表达式) 是 mysql 8.0 引入的重要特性,它允许在查询中创建临时命名结果集,提高复杂查询的可读性和可维护性。

基本语法

with cte_name as (
    select ...  -- cte查询定义
)
select * from cte_name;  -- 主查询

cte 主要特点

  • 临时结果集:只在查询执行期间存在
  • 可引用性:可以在主查询中多次引用
  • 可读性强:比嵌套子查询更易理解
  • 递归支持:支持递归查询(mysql 8.0+)

非递归 cte

简单 cte 示例

with department_stats as (
    select 
        department_id, 
        count(*) as employee_count,
        avg(salary) as avg_salary
    from employees
    group by department_id
)
select 
    d.department_name,
    ds.employee_count,
    ds.avg_salary
from departments d
join department_stats ds on d.department_id = ds.department_id;

多 cte 示例

with 
high_earners as (
    select * from employees where salary > 100000
),
it_employees as (
    select * from employees where department_id = 10
)
select 
    h.employee_id,
    h.name,
    'high earner' as category
from high_earners h
union all
select 
    i.employee_id,
    i.name,
    'it employee' as category
from it_employees i;

递归 cte

递归 cte 可以处理层次结构数据,如组织结构、评论树等。

基本递归 cte 结构

with recursive cte_name as (
    -- 基础部分(种子查询)
    select ... where ...
    union [all]
    -- 递归部分
    select ... from cte_name join ...
    where ...
)
select * from cte_name;

递归 cte 示例:组织结构查询

with recursive org_hierarchy as (
    -- 基础部分:查找顶级管理者
    select 
        employee_id,
        name,
        manager_id,
        1 as level
    from employees
    where manager_id is null
    union all
    -- 递归部分:查找下属员工
    select 
        e.employee_id,
        e.name,
        e.manager_id,
        oh.level + 1
    from employees e
    join org_hierarchy oh on e.manager_id = oh.employee_id
)
select * from org_hierarchy order by level, employee_id;

递归 cte 示例:生成序列

with recursive number_sequence as (
    select 1 as n
    union all
    select n + 1 from number_sequence where n < 10
)
select * from number_sequence;

cte 的优势

  • 提高可读性:将复杂查询分解为逻辑块
  • 避免重复:可以多次引用同一个cte
  • 替代视图:不需要创建永久视图
  • 递归能力:处理层次结构数据
  • 更好的优化:mysql优化器能更好处理cte

cte 与派生表的比较

特性cte派生表
可读性
可重用性可在查询中多次引用每次使用都需要重新定义
递归支持支持不支持
性能通常更好可能较差
语法清晰度更清晰嵌套较深时难以理解

实际应用场景

  • 数据报表:构建复杂报表的多步数据处理
with 
monthly_sales as (
    select 
        date_format(order_date, '%y-%m') as month,
        sum(amount) as total_sales
    from orders
    group by month
),
growth_rate as (
    select 
        month,
        total_sales,
        lag(total_sales) over (order by month) as prev_sales,
        (total_sales - lag(total_sales) over (order by month)) / 
        lag(total_sales) over (order by month) * 100 as growth_pct
    from monthly_sales
)
select * from growth_rate;
  • 数据清洗:多步数据转换
with 
raw_data as (
    select * from source_table where quality_check = 1
),
cleaned_data as (
    select 
        id,
        trim(name) as name,
        case when age < 0 then null else age end as age
    from raw_data
)
select * from cleaned_data;
  • 路径查找:图数据查询
with recursive path_finder as (
    select 
        start_node as path,
        start_node,
        end_node,
        1 as length
    from graph
    where start_node = 'a'
    union all
    select 
        concat(pf.path, '->', g.end_node),
        g.start_node,
        g.end_node,
        pf.length + 1
    from graph g
    join path_finder pf on g.start_node = pf.end_node
    where find_in_set(g.end_node, replace(pf.path, '->', ',')) = 0
)
select * from path_finder;

性能考虑

  • 物化:mysql可能会物化cte结果
  • 递归深度:默认递归深度限制为1000,可通过cte_max_recursion_depth参数调整
set session cte_max_recursion_depth = 2000;
  • 优化器提示:可以使用提示影响cte处理
with cte_name as (
    select /*+ merge() */ * from table_name
)
select * from cte_name;

限制

  • mysql 8.0 之前版本不支持cte
  • 某些复杂递归查询可能有性能问题
  • 在存储过程和函数中使用有限制

cte是mysql中处理复杂查询的强大工具,合理使用可以显著提高sql代码的可读性和维护性。

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