活动记录表:Activity
+---------------+---------+
| Column Name | Type |
+---------------+---------+
| user_id | int |
| session_id | int |
| activity_date | date |
| activity_type | enum |
+---------------+---------+
该表是用户在社交网站的活动记录。
该表没有主键,可能包含重复数据。
activity_type 字段为以下四种值
('open_session', 'end_session', 'scroll_down', 'send_message')。
每个 session_id 只属于一个用户。
请写SQL查询出截至 2019-07-27(包含2019-07-27), 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)。
查询结果示例如下:
Activity table:
+---------+------------+---------------+---------------+
| user_id | session_id | activity_date | activity_type |
+---------+------------+---------------+---------------+
| 1 | 1 | 2019-07-20 | open_session |
| 1 | 1 | 2019-07-20 | scroll_down |
| 1 | 1 | 2019-07-20 | end_session |
| 2 | 4 | 2019-07-20 | open_session |
| 2 | 4 | 2019-07-21 | send_message |
| 2 | 4 | 2019-07-21 | end_session |
| 3 | 2 | 2019-07-21 | open_session |
| 3 | 2 | 2019-07-21 | send_message |
| 3 | 2 | 2019-07-21 | end_session |
| 4 | 3 | 2019-06-25 | open_session |
| 4 | 3 | 2019-06-25 | end_session |
+---------+------------+---------------+---------------+
Result table:
+------------+--------------+
| day | active_users |
+------------+--------------+
| 2019-07-20 | 2 |
| 2019-07-21 | 2 |
+------------+--------------+
非活跃用户的记录不需要展示。
来源:力扣(LeetCode) 链接:https://leetcode-cn.com/problems/user-activity-for-the-past-30-days-i 著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。
datediff('2019-07-27', activity_date)
,前者减后者的值# Write your MySQL query statement below
select activity_date day, count(distinct user_id) active_users
from Activity
where datediff('2019-07-27', activity_date) < 30
group by activity_date
date_sub('2019-07-27', interval 30 day)
,前者减去30天# Write your MySQL query statement below
select activity_date day, count(distinct user_id) active_users
from Activity
where activity_date > date_sub('2019-07-27', interval 30 day)
group by activity_date