在哪些网站可以做企业名称预审网站建设安全措施

1 题目

有一份用户访问记录表，记录用户id和访问时间，如果用户访问时间间隔小于60s则认为时一次浏览，请合并用户的浏览行为。

样例数据

+----------+--------------+
| user_id  | access_time  |
+----------+--------------+
| 1        | 1736337600   |
| 1        | 1736337660   |
| 2        | 1736337670   |
| 1        | 1736337710   |
| 3        | 1736337715   |
| 2        | 1736337750   |
| 1        | 1736337760   |
| 3        | 1736337820   |
| 2        | 1736337850   |
| 1        | 1736337910   |
+----------+--------------+

2 建表语句

--建表语句
CREATE TABLE user_access_log (user_id INT,access_time BIGINT
) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t';
--插入数据
insert into user_access_log (user_id,access_time)
values
(1,1736337600),
(1,1736337660),
(2,1736337670),
(1,1736337710),
(3,1736337715),
(2,1736337750),
(1,1736337760),
(3,1736337820),
(2,1736337850),
(1,1736337910);

3 题解

（1）分用户计算出每次点击时间差；

select user_id,access_time,last_access_time,access_time - last_access_time as time_diff
from (select user_id,access_time,lag(access_time) over (partition by user_id order by access_time) as last_access_timefrom user_access_log) t

执行结果

+----------+--------------+-------------------+------------+
| user_id  | access_time  | last_access_time  | time_diff  |
+----------+--------------+-------------------+------------+
| 1        | 1736337600   | NULL              | NULL       |
| 1        | 1736337660   | 1736337600        | 60         |
| 1        | 1736337710   | 1736337660        | 50         |
| 1        | 1736337760   | 1736337710        | 50         |
| 1        | 1736337910   | 1736337760        | 150        |
| 2        | 1736337670   | NULL              | NULL       |
| 2        | 1736337750   | 1736337670        | 80         |
| 2        | 1736337850   | 1736337750        | 100        |
| 3        | 1736337715   | NULL              | NULL       |
| 3        | 1736337820   | 1736337715        | 105        |
+----------+--------------+-------------------+------------+

（2）确认是否是新的访问

select user_id,access_time,last_access_time,if(access_time - last_access_time >= 60, 1, 0) as is_new_group
from (select user_id,access_time,lag(access_time) over (partition by user_id order by access_time) as last_access_timefrom user_access_log) t

执行结果

+----------+--------------+-------------------+---------------+
| user_id  | access_time  | last_access_time  | is_new_group  |
+----------+--------------+-------------------+---------------+
| 1        | 1736337600   | NULL              | 0             |
| 1        | 1736337660   | 1736337600        | 1             |
| 1        | 1736337710   | 1736337660        | 0             |
| 1        | 1736337760   | 1736337710        | 0             |
| 1        | 1736337910   | 1736337760        | 1             |
| 2        | 1736337670   | NULL              | 0             |
| 2        | 1736337750   | 1736337670        | 1             |
| 2        | 1736337850   | 1736337750        | 1             |
| 3        | 1736337715   | NULL              | 0             |
| 3        | 1736337820   | 1736337715        | 1             |
+----------+--------------+-------------------+---------------+

（3）得出结果

使用sum()over(partition by …… order by ……)累加计算，给出组ID。聚合函数开窗使用order by 计算结果是从分组开始计算到当前行的结果。

这里的技巧：需要新建组的时候就给标签赋值1，否则0，然后累加计算结果在新建组的时候值就会变化，根据聚合值分组，得到合并结果。

with t_group as(select user_id,access_time,last_access_time,if(access_time - last_access_time >= 60, 1, 0) as is_new_groupfrom (select user_id,access_time,lag(access_time) over (partition by user_id order by access_time) as last_access_timefrom user_access_log) t)
select user_id,access_time,last_access_time,is_new_group,sum(is_new_group) over (partition by user_id order by access_time asc) as group_id
from t_group

执行结果

+----------+--------------+-------------------+---------------+-----------+
| user_id  | access_time  | last_access_time  | is_new_group  | group_id  |
+----------+--------------+-------------------+---------------+-----------+
| 1        | 1736337600   | NULL              | 0             | 0         |
| 1        | 1736337660   | 1736337600        | 1             | 1         |
| 1        | 1736337710   | 1736337660        | 0             | 1         |
| 1        | 1736337760   | 1736337710        | 0             | 1         |
| 1        | 1736337910   | 1736337760        | 1             | 2         |
| 2        | 1736337670   | NULL              | 0             | 0         |
| 2        | 1736337750   | 1736337670        | 1             | 1         |
| 2        | 1736337850   | 1736337750        | 1             | 2         |
| 3        | 1736337715   | NULL              | 0             | 0         |
| 3        | 1736337820   | 1736337715        | 1             | 1         |
+----------+--------------+-------------------+---------------+-----------+