我正在寻找一个MySQL查询来统计有多少人访问了一个网络应用程序。我有一个数据库,存储访问者的信息,他们键入并在尝试登录时:
+-----+-----------+--------+---------+---------------------+
| id | person_id | area | success | date_created |
+-----+-----------+--------+---------+---------------------+
| 762 | 100 | client | 1 | 2022-06-28 09:22:35 |
| 763 | 100 | client | 1 | 2022-06-28 11:22:35 |
| 764 | 100 | client | 1 | 2022-06-28 14:22:35 |
| 765 | 102 | client | 1 | 2022-06-28 15:04:43 |
| 766 | 101 | user | 1 | 2022-06-28 16:04:43 |
| 767 | 100 | client | 1 | 2022-06-29 15:07:29 |
| 768 | 101 | user | 1 | 2022-06-30 09:18:41 |
| 769 | 100 | client | 1 | 2022-07-01 09:24:46 |
| 770 | 101 | user | 1 | 2022-07-01 09:25:59 |
| 771 | 102 | client | 1 | 2022-07-01 14:17:57 |
| 772 | 103 | client | 1 | 2022-07-01 15:20:14 |
| 773 | 100 | client | 1 | 2022-07-02 13:01:49 |
| 774 | 100 | client | 1 | 2022-07-03 09:06:00 |
| 775 | 102 | client | 0 | 2022-07-03 12:11:23 |
| 776 | 103 | client | 1 | 2022-07-03 12:41:43 |
我需要解析
date_created
到
date
,求和的唯一出现次数
person_id
如果
are
是
client
并按日期求和。
用其他编程语言做这件事不会有问题,但我很难用SQL构建查询。需要在盒子上做,但不能在那里安装太多。
预期结果:
+------------+--------------------+
| date | successful_clients |
+------------+--------------------+
| 2022-06-28 | 2 |
| 2022-06-29 | 1 |
| 2022-06-30 | 0 |
| 2022-07-01 | 3 |
| 2022-07-02 | 1 |
| 2022-07-03 | 2 |
什么是高效的SQL查询?