首页 > 数据库 > 数据库开发技术 > 大数据面试SQL048-泳池问题(下)
我们接着上两题继续讨论泳池问题,还是相同的数据。现有一份数据记录了用户进入和离开游泳池的时间,请计算出泳池内的平均人数
--样例数据+----------+-----------+----------------------+| user_id | log_type | log_time |+----------+-----------+----------------------+| 1 | enter | 2024-04-07 08:01:00 || 2 | enter | 2024-04-07 08:20:00 || 1 | leave | 2024-04-07 09:30:00 || 3 | enter | 2024-04-07 10:01:00 || 4 | enter | 2024-04-07 10:25:00 || 2 | leave | 2024-04-07 11:22:00 || 4 | leave | 2024-04-07 12:20:00 || 5 | enter | 2024-04-07 12:30:00 || 6 | enter | 2024-04-07 13:05:00 || 3 | leave | 2024-04-07 14:20:00 || 5 | leave | 2024-04-07 14:30:00 || 7 | enter | 2024-04-07 14:45:00 || 8 | enter | 2024-04-07 15:18:00 || 7 | leave | 2024-04-07 15:32:00 || 6 | leave | 2024-04-07 15:45:00 || 9 | enter | 2024-04-07 16:01:00 || 10 | enter | 2024-04-07 16:10:00 || 9 | leave | 2024-04-07 16:25:00 || 8 | leave | 2024-04-07 16:35:00 || 10 | leave | 2024-04-07 16:55:00 |+----------+-----------+----------------------+
这个题目是在前两个题目的进一步升级,这里并没有再进一步考察什么函数,而是考察业务知识。想要计算平均值,我们可以一个全天泳池内所有人累计时长,然后除以泳池的开放时长,就是泳池内的平均人数;
| 维度 | 评分 |
|---|---|
| 题目难度 | ⭐️⭐️⭐️⭐️ |
| 题目清晰度 | ⭐️⭐️⭐️⭐️⭐ |
| 业务常见度 | ⭐️⭐️⭐️⭐️ |
1)使用之前的结果,我们计算出泳池中的人数和持续时间,然后对人数*时间结果求和,即为一天内所有人的累计时长。使用上一个题目的中间结果,先计算出每行记录的人数pool_user_cnt和持续时间keep_sec。
selectuser_id,log_type,log_time,enter_cnt,pool_user_cnt,next_log_time,unix_timestamp(next_log_time) - unix_timestamp(log_time) as keep_secfrom(selectuser_id,log_type,log_time,enter_cnt,sum(enter_cnt)over(order by log_time asc) as pool_user_cnt,lead(log_time,1,'2024-04-07 17:00:00')over(order by log_time asc) as next_log_timefrom(selectuser_id,log_type,log_time,if(log_type ='enter',1,-1) as enter_cntfrom t_user_pool_log) t) tt
查询结果

2)计算出pool_user_cnt*keep_sec 的结果
selectuser_id,log_type,log_time,pool_user_cnt,next_log_time,keep_sec,pool_user_cnt*keep_sec as user_keep_secfrom(selectuser_id,log_type,log_time,enter_cnt,pool_user_cnt,next_log_time,unix_timestamp(next_log_time) - unix_timestamp(log_time) as keep_secfrom(selectuser_id,log_type,log_time,enter_cnt,sum(enter_cnt)over(order by log_time asc) as pool_user_cnt,lead(log_time,1,'2024-04-07 17:00:00')over(order by log_time asc) as next_log_timefrom(selectuser_id,log_type,log_time,if(log_type ='enter',1,-1) as enter_cntfrom t_user_pool_log) t) tt)ttt
查询结果

3)我们假设泳池开放时间为8:00~17:00 计算出总的时间长度total_sec.对user_keep_sec 求和之后除以total_sec 得到平均人数。
selectsum(user_keep_sec)/(unix_timestamp('2024-04-07 17:00:00')-unix_timestamp('2024-04-07 08:00:00')) as avg_numfrom(selectuser_id,log_type,log_time,pool_user_cnt,next_log_time,keep_sec,pool_user_cnt*keep_sec as user_keep_secfrom(selectuser_id,log_type,log_time,enter_cnt,pool_user_cnt,next_log_time,unix_timestamp(next_log_time) - unix_timestamp(log_time) as keep_secfrom(selectuser_id,log_type,log_time,enter_cnt,sum(enter_cnt)over(order by log_time asc) as pool_user_cnt,lead(log_time,1,'2024-04-07 17:00:00')over(order by log_time asc) as next_log_timefrom(selectuser_id,log_type,log_time,if(log_type ='enter',1,-1) as enter_cntfrom t_user_pool_log) t) tt)ttt)tttt
查询结果

4)简化SQL
selectsum(pool_user_cnt*keep_sec)/(unix_timestamp('2024-04-07 17:00:00')-unix_timestamp('2024-04-07 08:00:00')) as avg_numfrom(selectuser_id,log_type,log_time,enter_cnt,sum(enter_cnt)over(order by log_time asc) as pool_user_cnt,unix_timestamp(lead(log_time,1,'2024-04-07 17:00:00')over(order by log_time asc))-unix_timestamp(log_time) as keep_secfrom(selectuser_id,log_type,log_time,if(log_type ='enter',1,-1) as enter_cntfrom t_user_pool_log) t) tt
查询结果

四、建表语句和数据插入
--建表语句CREATE TABLE t_user_pool_log (user_id INT,log_type STRING,log_time STRING)COMMENT '泳池进出日志表'ROW FORMAT DELIMITEDFIELDS TERMINATED BY ','LINES TERMINATED BY '\n'STORED AS TEXTFILE;-- 样例数据插入insert into t_user_pool_log values(1,'enter','2024-04-07 08:01:00'),(2,'enter','2024-04-07 08:20:00'),(1,'leave','2024-04-07 09:30:00'),(3,'enter','2024-04-07 10:01:00'),(4,'enter','2024-04-07 10:25:00'),(2,'leave','2024-04-07 11:22:00'),(4,'leave','2024-04-07 12:20:00'),(5,'enter','2024-04-07 12:30:00'),(6,'enter','2024-04-07 13:05:00'),(3,'leave','2024-04-07 14:20:00'),(5,'leave','2024-04-07 14:30:00'),(7,'enter','2024-04-07 14:45:00'),(8,'enter','2024-04-07 15:18:00'),(7,'leave','2024-04-07 15:32:00'),(6,'leave','2024-04-07 15:45:00'),(9,'enter','2024-04-07 16:01:00'),(10,'enter','2024-04-07 16:10:00'),(9,'leave','2024-04-07 16:25:00'),(8,'leave','2024-04-07 16:35:00'),(10,'leave','2024-04-07 16:55:00');
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