用户行为日志表tb_user_log
id | uid | artical_id | in_time | out_time | sign_cin |
1 | 101 | 9001 | 2021-11-01 10:00:00 | 2021-11-01 10:00:11 | 0 |
2 | 102 | 9001 | 2021-11-01 10:00:09 | 2021-11-01 10:00:38 | 0 |
3 | 103 | 9001 | 2021-11-01 10:00:28 | 2021-11-01 10:00:58 | 0 |
4 | 104 | 9002 | 2021-11-01 11:00:45 | 2021-11-01 11:01:11 | 0 |
5 | 105 | 9001 | 2021-11-01 10:00:51 | 2021-11-01 10:00:59 | 0 |
6 | 106 | 9002 | 2021-11-01 11:00:55 | 2021-11-01 11:01:24 | 0 |
7 | 107 | 9001 | 2021-11-01 10:00:01 | 2021-11-01 10:01:50 | 0 |
(uid-用户ID, artical_id-文章ID, in_time-进入时间, out_time-离开时间, sign_in-是否签到)
场景逻辑说明:artical_id-文章ID代表用户浏览的文章的ID,artical_id-文章ID为0表示用户在非文章内容页(比如App内的列表页、活动页等)。
问题:统计每篇文章同一时刻最大在看人数,如果同一时刻有进入也有离开时,先记录用户数增加再记录减少,结果按最大人数降序。
输出示例:
示例数据的输出结果如下
artical_id | max_uv |
9001 | 3 |
9002 | 2 |
示例1
输入
DROP TABLE IF EXISTS tb_user_log; CREATE TABLE tb_user_log ( id INT PRIMARY KEY AUTO_INCREMENT COMMENT '自增ID', uid INT NOT NULL COMMENT '用户ID', artical_id INT NOT NULL COMMENT '视频ID', in_time datetime COMMENT '进入时间', out_time datetime COMMENT '离开时间', sign_in TINYINT DEFAULT 0 COMMENT '是否签到' ) CHARACTER SET utf8 COLLATE utf8_bin; INSERT INTO tb_user_log(uid, artical_id, in_time, out_time, sign_in) VALUES (101, 9001, '2021-11-01 10:00:00', '2021-11-01 10:00:11', 0), (102, 9001, '2021-11-01 10:00:09', '2021-11-01 10:00:38', 0), (103, 9001, '2021-11-01 10:00:28', '2021-11-01 10:00:58', 0), (104, 9002, '2021-11-01 11:00:45', '2021-11-01 11:01:11', 0), (105, 9001, '2021-11-01 10:00:51', '2021-11-01 10:00:59', 0), (106, 9002, '2021-11-01 11:00:55', '2021-11-01 11:01:24', 0), (107, 9001, '2021-11-01 10:00:01', '2021-11-01 10:01:50', 0);
输出
9001|3 9002|2