计算所有访问的最早和最晚访问之间的总时间

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英文:

Calculate total time between earliest and latest visit for all visits

问题

以下是翻译好的部分:

"我正在存储用户的访问数据在以下表格中(包括示例数据):

id user_id page visit_id page_visit_created_at page_visit_last_activity
1 1 page1 11 2023-06-21 16:56:13.950 2023-06-21 16:58:23.823
2 2 page1 12 2023-06-21 17:36:45.550 2023-06-21 17:50:23.553
3 1 page2 11 2023-06-21 17:01:12.120 2023-06-21 17:04:51.122
4 3 page1 14 2023-06-21 18:02:13.421 2023-06-21 18:09:11.111
5 3 page3 15 2023-06-21 18:23:51.383 2023-06-21 18:31:11.347
6 1 page1 16 2023-06-22 13:10:11.223 2023-06-22 13:15:10.111

我需要计算每个用户的总活动时间,也就是对于每个用户,需要将page_visit_created_atpage_visit_last_activity之间的时间总和,按visit_id进行分组。

在上面的示例中,用户的user_id为1的用户在同一个访问会话中访问了page1page2,这就是为什么它们具有相同的visit_id,所以我需要找到visit_id为11的最早page_visit_created_at,即来自第1行的2023-06-21 16:56:13.950,以及最晚的page_visit_last_activity,即2023-06-21 17:04:51.122

他还以不同的visit_id(访问16)只访问了一次page1,因此最早的时间是2023-06-22 13:10:11.223,最晚的时间是2023-06-22 13:15:10.111,因此总和应该是这两者的时间之和。

以下查询不起作用:

SELECT 
    user_id, visit_id, 
    SUM(DATEDIFF(SECOND, MIN(page_visit_created_at), MAX(page_visit_last_activity))) 
FROM 
    my_table
GROUP BY 
    user_id, visit_id 

我收到这个错误消息:

不能在包含聚合或子查询的表达式上执行聚合函数。

英文:

I am storing user's visits in the following table (with sample data):

id user_id page visit_id page_visit_created_at page_visit_last_activity
1 1 page1 11 2023-06-21 16:56:13.950 2023-06-21 16:58:23.823
2 2 page1 12 2023-06-21 17:36:45.550 2023-06-21 17:50:23.553
3 1 page2 11 2023-06-21 17:01:12.120 2023-06-21 17:04:51.122
4 3 page1 14 2023-06-21 18:02:13.421 2023-06-21 18:09:11.111
5 3 page3 15 2023-06-21 18:23:51.383 2023-06-21 18:31:11.347
6 1 page1 16 2023-06-22 13:10:11.223 2023-06-22 13:15:10.111

And I need to calculate the total activity time for each user, which means to sum the time between page_visit_created_at and page_visit_last_activity for each user, per visit_id.

In the example above, the user with user_id 1 visited page1 and page2 at the same visit session, that's why they have the same visit_id, so I need to minimum page_visit_created_at for visit_id 11, which is 2023-06-21 16:56:13.950 from row 1, and the latest page_visit_last_activity which is 2023-06-21 17:04:51.122.

He also visited page1 with a different visit_id (visit 16) and once only so the minimum is 2023-06-22 13:10:11.223 and max is 2023-06-22 13:15:10.111

so the total would be the sum of the two.

The following query doesn't work:

SELECT 
    user_id, visit_id, 
    SUM(DATEDIFF(SECOND, MIN(page_visit_created_at), MAX(page_visit_last_activity))) 
FROM 
    my_table
GROUP BY 
    user_id, visit_id 

I get this error:

> Cannot perform an aggregate function on an expression containing an aggregate or a subquery

答案1

得分: 2

错误消息表明不允许在聚合函数内部使用聚合函数。一种选项是在子查询中分别使用 min()max() 计算每次访问的花费时间,然后在这个数据集上应用聚合函数 sum()

SELECT user_id, SUM(time_per_visit) as total
FROM (
  SELECT user_id, visit_id, 
     DATEDIFF(SECOND, MIN(page_visit_created_at), MAX(page_visit_last_activity)) as time_per_visit 
  FROM my_table
  GROUP BY user_id, visit_id
) AS s
GROUP BY user_id
英文:

The error message indicates that using aggregate functions within aggregate functions is not permitted. one option is to calculate time spent per visit using min() and max() separately in a subquery then apply the aggregate function sum() on this dataset :

SELECT user_id, SUM(time_per_visit) as total
FROM (
  SELECT user_id, visit_id, 
     DATEDIFF(SECOND, MIN(page_visit_created_at), MAX(page_visit_last_activity)) as time_per_visit 
  FROM my_table
  GROUP BY user_id, visit_id
) AS s
GROUP BY user_id

答案2

得分: 2

需要分两个阶段进行汇总。例如:

select user_id, sum(session) as total
from (
  select
    user_id, visit_id, 
    datediff(second, min(page_visit_created_at), 
      max(page_visit_last_activity)) as session
  from t
  group by user_id, visit_id
) x
group by user_id
英文:

You need to aggregate in two phases. For example:

select user_id, sum(session) as total
from (
  select
    user_id, visit_id, 
    datediff(second, min(page_visit_created_at), 
      max(page_visit_last_activity)) as session
  from t
  group by user_id, visit_id
) x
group by user_id

huangapple
  • 本文由 发表于 2023年6月25日 21:38:22
  • 转载请务必保留本文链接:https://go.coder-hub.com/76550684.html
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