标签:aqi prim 创建 聚合函数 index 字段 name ifnull 条件
DROP TABLE IF EXISTS `tb_emp`;
CREATE TABLE `tb_emp` (
`emp_id` int(11) NOT NULL AUTO_INCREMENT,
`emp_name` varchar(20) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`emp_sex` char(3) CHARACTER SET utf8 COLLATE utf8_general_ci NOT NULL,
`dept_id` int(11) NULL DEFAULT NULL,
`salary` double(5, 1) NULL DEFAULT 4000.0,
`emp_mail` varchar(30) CHARACTER SET utf8 COLLATE utf8_general_ci NULL DEFAULT 'default@mail.com',
PRIMARY KEY (`emp_id`) USING BTREE,
INDEX `dept_id`(`dept_id`) USING BTREE,
CONSTRAINT `tb_emp_ibfk_1` FOREIGN KEY (`dept_id`) REFERENCES `t_dept` (`dept_id`) ON DELETE RESTRICT ON UPDATE RESTRICT
) ENGINE = InnoDB AUTO_INCREMENT = 200004 CHARACTER SET = utf8 COLLATE = utf8_general_ci ROW_FORMAT = Dynamic;
INSERT INTO `tb_emp` VALUES (2, '信誉昂', '男', 1, 9000.0, 'xinyang@hp.com');
INSERT INTO `tb_emp` VALUES (3, '张三', '女', 2, 8000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10001, '小乔', '女', 1, 7800.0, 'xiaoqiao@hp.com');
INSERT INTO `tb_emp` VALUES (10002, '大乔', '女', 2, 6500.0, 'daqiao@hp.com');
INSERT INTO `tb_emp` VALUES (10003, '赵柳', '男', 2, 6700.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10004, '阳阳', '女', 1, 8000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10005, '信誉昂', '男', 3, 4000.0, 'xinyang@hp.com');
INSERT INTO `tb_emp` VALUES (10006, '赵柳', '男', 2, 5000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10007, '阳阳', '女', 2, 6000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10008, '赵柳', '男', 2, 5000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10009, '阳XXX阳', '女', 3, 6000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10014, '赵柳', '男', 3, 5000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10015, '阳xxx阳', '男', 2, 6000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10016, '赵柳', '男', 2, 5000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (10017, '阳阳', '女', 3, 6000.0, 'zhangsan@hp.com');
INSERT INTO `tb_emp` VALUES (200001, '新员工', '女', 3, 4000.0, 'default@mail.com');
INSERT INTO `tb_emp` VALUES (200002, 'admin', '女', 3, 4000.0, NULL);
INSERT INTO `tb_emp` VALUES (200003, '关羽', '男', NULL, 8000.0, 'guanyu@hp.com');
# 查询性别为男的员工信息【条件查询】
SELECT * FROM tb_emp WHERE emp_sex = '男';
# 条件查询
# 查询性别为男并且是2号部门员工信息【多条件查询】
SELECT * FROM tb_emp WHERE emp_sex = '男' AND dept_id = 2;
# 查询性别为男或者1号部门员工信息
SELECT * FROM tb_emp WHERE emp_sex = '男' OR dept_id = 1;
# 模糊查询 LIKE
# 查询带姓赵员工 '%' 匹配任意字符
SELECT * FROM tb_emp WHERE emp_name LIKE '赵%';
# 匹配第二字为阳员工 '_'占位符
SELECT * FROM tb_emp WHERE emp_name LIKE '_阳%';
# 匹配名字中含有阳员工信息
SELECT * FROM tb_emp WHERE emp_name LIKE '%阳%';
# 去重查询
# 查询部门中有员工的部门编号
SELECT DISTINCT dept_id FROM tb_emp;
#null 查询
# 没有分配部门员工 !=,<> 主要操作的非数据字段默认NULL
SELECT emp_id, emp_name,IFNULL(dept_id,0) FROM tb_emp WHERE dept_id is null;
SELECT emp_id, emp_name,IFNULL(dept_id,0) FROM tb_emp WHERE dept_id is not null;
# 定义别名
SELECT emp_id as 员工编号, emp_name 员工姓名 FROM tb_emp;
SELECT emp_id, emp_name 员工姓名,'AAAA' 常量 FROM tb_emp;
# 获取所有员工薪资并且按照降序排序[默认为升序排序asc, 降序使用desc]
SELECT emp_id as 员工编号, emp_name 员工姓名, salary 薪资 FROM tb_emp ORDER BY salary DESC;
# 使用聚合函数 count(),min(),max(),avg(),sum()
select count(emp_id) 员工数, min(salary) 最低薪资, max(salary) 最高薪资,
avg(salary) 平均薪资, SUM(salary) 薪资总和 from tb_emp;
# 分组查询
# 查询每一个部门员工数,平均薪资,最高薪资,最低薪资,薪资总和
# 分组查询能够出现的列必须是分组组和聚合函数 [处理小数函数ROUND(值,保留的小数位数)]
select dept_id,count(emp_id) 员工数, min(salary) 最低薪资, max(salary) 最高薪资,
ROUND(AVG(salary),1) 平均薪资, SUM(salary) 薪资总和 from tb_emp where dept_id is not null GROUP BY dept_id;
# 查询平均薪资和大于6000的信息 [HAVING 对分组后信息再次筛选]
select dept_id,count(emp_id) 员工数, min(salary) 最低薪资, max(salary) 最高薪资,
ROUND(AVG(salary),1) 平均薪资, SUM(salary) 薪资总和 from tb_emp where dept_id is not null GROUP BY dept_id HAVING ROUND(AVG(salary),1) > 6000;
# 查询平均薪资和大于6000的信部门中最高平均薪资部门 [LIMIT 限制查询记录数]
select dept_id,count(emp_id) 员工数, min(salary) 最低薪资, max(salary) 最高薪资,
ROUND(AVG(salary),1) 平均薪资, SUM(salary) 薪资总和 from tb_emp
where dept_id is not null
GROUP BY dept_id
HAVING ROUND(AVG(salary),1) > 6000
ORDER BY ROUND(AVG(salary),1) DESC
LIMIT 1;
标签:aqi prim 创建 聚合函数 index 字段 name ifnull 条件
原文地址:https://www.cnblogs.com/sunBinary/p/12416998.html