牛客某页面推出了数据分析系列直播课程介绍。用户可以选择报名任意一场或多场直播课。
已知课程表course_tb如下(其中course_id代表课程编号,course_name表示课程名称,course_datetime代表上课时间):
course_id | course_name | course_datetime |
1 | Python | 2021-12-1 19:00-21:00 |
2 | SQL | 2021-12-2 19:00-21:00 |
3 | R | 2021-12-3 19:00-21:00 |
上课情况表attend_tb如下(其中user_id表示用户编号、course_id代表课程编号、in_datetime表示进入直播间的时间、out_datetime表示离开直播间的时间):
user_id | course_id | in_datetime | out_datetime |
100 | 1 | 2021-12-01 19:00:00 | 2021-12-01 19:28:00 |
100 | 1 | 2021-12-01 19:30:00 | 2021-12-01 19:53:00 |
101 | 1 | 2021-12-01 19:00:00 | 2021-12-01 20:55:00 |
102 | 1 | 2021-12-01 19:00:00 | 2021-12-01 19:05:00 |
104 | 1 | 2021-12-01 19:00:00 | 2021-12-01 20:59:00 |
101 | 2 | 2021-12-02 19:05:00 | 2021-12-02 20:58:00 |
102 | 2 | 2021-12-02 18:55:00 | 2021-12-02 21:00:00 |
104 | 2 | 2021-12-02 18:57:00 | 2021-12-02 20:56:00 |
107 | 2 | 2021-12-02 19:10:00 | 2021-12-02 19:18:00 |
100 | 3 | 2021-12-03 19:01:00 | 2021-12-03 21:00:00 |
102 | 3 | 2021-12-03 18:58:00 | 2021-12-03 19:05:00 |
108 | 3 | 2021-12-03 19:01:00 | 2021-12-03 19:56:00 |
请你统计每个科目最大同时在线人数(按course_id排序),以上数据的输出结果如下:
course_id | course_name | max_num |
1 | Python | 4 |
2 | SQL | 4 |
3 | R | 3 |
示例1
输入
drop table if exists course_tb; CREATE TABLE course_tb( course_id int(10) NOT NULL, course_name char(10) NOT NULL, course_datetime char(30) NOT NULL); INSERT INTO course_tb VALUES(1, 'Python', '2021-12-1 19:00-21:00'); INSERT INTO course_tb VALUES(2, 'SQL', '2021-12-2 19:00-21:00'); INSERT INTO course_tb VALUES(3, 'R', '2021-12-3 19:00-21:00'); drop table if exists attend_tb; CREATE TABLE attend_tb( user_id int(10) NOT NULL, course_id int(10) NOT NULL, in_datetime datetime NOT NULL, out_datetime datetime NOT NULL ); INSERT INTO attend_tb VALUES(100, 1, '2021-12-1 19:00:00', '2021-12-1 19:28:00'); INSERT INTO attend_tb VALUES(100, 1, '2021-12-1 19:30:00', '2021-12-1 19:53:00'); INSERT INTO attend_tb VALUES(101, 1, '2021-12-1 19:00:00', '2021-12-1 20:55:00'); INSERT INTO attend_tb VALUES(102, 1, '2021-12-1 19:00:00', '2021-12-1 19:05:00'); INSERT INTO attend_tb VALUES(104, 1, '2021-12-1 19:00:00', '2021-12-1 20:59:00'); INSERT INTO attend_tb VALUES(101, 2, '2021-12-2 19:05:00', '2021-12-2 20:58:00'); INSERT INTO attend_tb VALUES(102, 2, '2021-12-2 18:55:00', '2021-12-2 21:00:00'); INSERT INTO attend_tb VALUES(104, 2, '2021-12-2 18:57:00', '2021-12-2 20:56:00'); INSERT INTO attend_tb VALUES(107, 2, '2021-12-2 19:10:00', '2021-12-2 19:18:00'); INSERT INTO attend_tb VALUES(100, 3, '2021-12-3 19:01:00', '2021-12-3 21:00:00'); INSERT INTO attend_tb VALUES(102, 3, '2021-12-3 18:58:00', '2021-12-3 19:05:00'); INSERT INTO attend_tb VALUES(108, 3, '2021-12-3 19:01:00', '2021-12-3 19:56:00');
输出
1|Python|4 2|SQL|4 3|R|3