Need help with a Query logic

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Need help with a Query logic

LearningDBA

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Points: 6609
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May 25, 2023 at 3:37 pm

#4197436
I have a table which tracks of activity when users from one specific app login and logout. But I have seen some cases where let's say a user logins at 11:40 on March 24th and then logins again at 11:55 on the same day without logging out. The application doesn't allow that but I am trying to create a report for users who have logged in twice without logging out. The case I described would have been ok, if the user had logged out before 11:55 am before logging back in. Can someone help with the logic? All I need is a list of users who have logged in twice without logging out.
```
Select 
 action --This is where login and logout is captured.
,Name
,Login_Email_Address
,Date
from User_acticvity
```
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ScottPletcher SSC Guru Points: 101095 More actions · Answer 1

For a specific day, then:

Select
Name
,Login_Email_Address
,CAST(Date AS date) AS Date
from User_acticvity
Group By Name, Login_Email_Address, CAST(Date AS date) AS Date
Having Sum(Case When action = 'Login' Then 1 Else 0 End) > 
    Sum(Case When action = 'Logout' Then 1 Else 0 End)

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drew.allen SSC Guru Points: 76985 More actions · Answer 2

This is another approach that will also work across days.

WITH ua AS
(
    Select 
     [action] --This is where login and logout is captured.
    ,LAG([action]) OVER(PARTITION BY Login_Email_Address ORDER BY [Date]) AS Prev_Action
    ,[Name]
    ,Login_Email_Address
    ,[Date]
    from User_acticvity
)
SELECT *
FROM ua
WHERE [action] = Prev_Action

Drew

J. Drew Allen
Business Intelligence Analyst
Philadelphia, PA

jcelko212 32090 SSCrazy Eights Points: 9303 More actions · Answer 3

CREATE TABLE Timesheet

(user_id..,

etc, UNIQUE (user_ifd,login_timest),

login_timestamp DATTIME2(7) NOT NULL,

logout_timestamp DATTIME2(7),

CHECK(login_timestamp <=logout_timestamp),

);

The unit of work is a period of time which you are logged in. The duration is defined by a starting point in time and ending point. If the user is still logged on. When you do the query, then leaves a null model. The open end of the interval. This saves us having to kludge things with lead and lag, or even worse things. Too often a newbie will model this with a flag that assigns characteristic of a single temporal column. It mimics a clipboard for you. Check a box for in or out.

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