MySQL 聚合函数、分组查询、时间函数详解
作者:不止萩
这篇文章主要介绍了MySQL 聚合函数、分组查询、时间函数 ,主要考验聚合函数count()求和以及分组查询,本文结合实例代码给大家介绍的非常详细,需要的朋友可以参考下
一、题目:每位教师所教授的科目种类的数量
本题主要考验聚合函数count()求和以及分组查询。
1 准备工作
Create table If Not Exists Teacher (teacher_id int, subject_id int, dept_id int); Truncate table Teacher; insert into Teacher (teacher_id, subject_id, dept_id) values ('1', '2', '3'); insert into Teacher (teacher_id, subject_id, dept_id) values ('1', '2', '4'); insert into Teacher (teacher_id, subject_id, dept_id) values ('1', '3', '3'); insert into Teacher (teacher_id, subject_id, dept_id) values ('2', '1', '1'); insert into Teacher (teacher_id, subject_id, dept_id) values ('2', '2', '1'); insert into Teacher (teacher_id, subject_id, dept_id) values ('2', '3', '1'); insert into Teacher (teacher_id, subject_id, dept_id) values ('2', '4', '1');
查询每位老师在大学里教授的科目种类的数量;
示例 1:
输入:
Teacher 表:
输出:
2 分析
3 实现
select activity_date day, count(distinct user_id) active_users from activity where datediff('2019-07-27',activity_date) between 0 and 29 group by activity_date;
二 、查询近30天活跃用户数
本题主要考验
分组查询
字符串函数count统计人数
时间函数定义时间
1 准备工作
Create table If Not Exists Activity (user_id int, session_id int, activity_date date, activity_type ENUM('open_session', 'end_session', 'scroll_down', 'send_message')); Truncate table Activity; insert into Activity (user_id, session_id, activity_date, activity_type) values ('1', '1', '2019-07-20', 'open_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('1', '1', '2019-07-20', 'scroll_down'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('1', '1', '2019-07-20', 'end_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('2', '4', '2019-07-20', 'open_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('2', '4', '2019-07-21', 'send_message'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('2', '4', '2019-07-21', 'end_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('3', '2', '2019-07-21', 'open_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('3', '2', '2019-07-21', 'send_message'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('3', '2', '2019-07-21', 'end_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('4', '3', '2019-06-25', 'open_session'); insert into Activity (user_id, session_id, activity_date, activity_type) values ('4', '3', '2019-06-25', 'end_session');
统计截至 2019-07-27(包含07-27),近30天的每日活跃用户数(当天只要有一条活动记录,即为活跃用户)
示例 2 :
输入:
输出:
2 分析
首先需要查询的字段为时间和用户登录数,对时间分组并且对用户人数统计查询出每日活跃的用户。(含重复id)
对用户的id进行去重查出每日活跃用户
3 实现
select activity_date day, count(distinct user_id) active_users from activity where datediff('2019-07-27',activity_date) between 0 and 29 group by activity_date;
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