目录
1. 基本知识
JSON_ARRAYAGG
为 SQL 聚合函数,用于将一组值聚合为一个
JSON 数组
- 多行结果组合成一个 JSON 数组形式的场景中非常有用
JSON_ARRAYAGG
可以与其他 JSON 处理函数(如JSON_OBJECTAGG
)结合使用,以构建复杂的 JSON 结构
其语法结构如下:
JSON_ARRAYAGG(expression [ORDERBY...])
expression
:要聚合的列或表达式ORDER BY
:可选,指定聚合值的排序顺序
2. Demo
为更好的加深印象,以Demo的方式进行展示
示例如下:
CREATETABLE employees (
id INTPRIMARYKEY,
name VARCHAR(100),
department VARCHAR(100),
salary DECIMAL(10,2));INSERTINTO employees (id, name, department, salary)VALUES(1,'Alice','Engineering',60000),(2,'Bob','Engineering',70000),(3,'Charlie','HR',50000),(4,'David','Engineering',80000),(5,'Eve','HR',55000);
由于我的Navicat版本较低,无法输出JSON_ARRAYAGG的相关结果
- 要么使用其他工具,要么升级Navicat软件(后续以命令行的结果进行展示)
2.1 简单聚合
SELECT JSON_ARRAYAGG(name ORDERBY salary DESC)AS employees_names
FROM employees;
截图如下:
2.2 带排序聚合
内部嵌套排序,有些数据库是不支持的,即使8的版本号
SELECT JSON_ARRAYAGG(name ORDERBY salary DESC)AS employees_names
会输出如下:
[Err]1064- You have an error in your SQL syntax;check the manual that corresponds to your MySQL server version for the right syntax touse near 'ORDER BY salary DESC) AS employees_names
FROM employees' at line 1
对于上述情况,使用如下方式进行处理
2.2.1 子查询进行排序
SELECT JSON_ARRAYAGG(name)AS employees_names
FROM(SELECT name
FROM employees
ORDERBY salary DESC)AS sorted_employees;
截图如下:
2.2.2 创建临时表
-- 创建临时表CREATETEMPORARYTABLE sorted_employees ASSELECT name
FROM employees
ORDERBY salary DESC;-- 对临时表进行聚合SELECT JSON_ARRAYAGG(name)AS employees_names
FROM sorted_employees;-- 删除临时表DROPTEMPORARYTABLE sorted_employees;
截图如下:
2.3 带条件聚合
SELECT JSON_ARRAYAGG(name)AS engineering_employees
FROM employees
WHERE department ='Engineering';
截图如下:
2.4 多列聚合
将员工的 name 和 salary 作为对象聚合为一个 JSON 数组
SELECT JSON_ARRAYAGG(JSON_OBJECT('name', name,'salary', salary))AS employees_info
FROM employees;#输出如下:
{"employees_info": [
{"name": "Alice","salary": 60000},
{"name": "Bob","salary": 70000},
{"name": "Charlie","salary": 50000},
{"name": "David","salary": 80000},
{"name": "Eve","salary": 55000}
]}
截图如下:
2.5 嵌套 JSON 结构
按部门聚合员工信息:
SELECT department, JSON_ARRAYAGG(JSON_OBJECT('name', name,'salary', salary))AS employees
FROM employees
GROUPBY department;# 输出如下[
{
"department": "Engineering","employees": [
{"name": "Alice","salary": 60000},
{"name": "Bob","salary": 70000},
{"name": "David","salary": 80000}
]
},
{
"department": "HR","employees": [
{"name": "Charlie","salary": 50000},
{"name": "Eve","salary": 55000}
]
}
]
截图如下:
版权归原作者 码农研究僧 所有, 如有侵权,请联系我们删除。