Reputation: 21
So, the subject is super confusing, because I just don't know how to explain with words what I want. I am trying to pull data from a single table with an action. Below is a small sample of what my data would look like.
I need the first instance of each OptIn and OptOut after the previous action for each name. I have posted my desired results below also.
I'm trying to do this in SQL 2014. I am pulling a blank on this. I thought maybe I could something with a lag and over but I don't fully understand how to use them, so I am confusing myself.
Sample Data:
Inst,Acct,First,MI,Last,Activty,ActivtyDate
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-05-25 12:02:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-05-25 12:37:00.000
001,00000000001111111,KIM,,BICKLE,OptIn,2019-06-17 08:43:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-20 11:57:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-20 23:10:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-21 08:46:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-06-27 10:34:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-27 10:35:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-27 23:04:00.000
001,00000000001111111,KIM,,BICKLE,OptIn,2019-07-02 11:35:42.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-07-05 15:04:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-07-06 07:57:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-07-06 08:16:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-07-09 08:17:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-03 20:51:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-03 20:51:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-03-08 19:10:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-03-16 06:34:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-18 16:21:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-03-21 16:38:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-22 05:26:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-04-01 15:39:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-04-02 04:06:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-04-06 11:53:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-04-09 12:51:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-04-20 15:21:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-04-20 15:21:00.000
Desired Result:
Inst,Acct,First,MI,Last,Activty,ActivtyDate
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-05-25 12:02:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-20 11:57:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-06-27 10:34:00.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-06-27 10:35:00.000
001,00000000001111111,KIM,,BICKLE,OptIn,2019-07-02 11:35:42.000
001,00000000001111111,EDWARD,,BICKLE,OptOut,2019-07-05 15:04:00.000
001,00000000001111111,EDWARD,,BICKLE,OptIn,2019-07-06 07:57:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-03 20:51:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-03-08 19:10:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-18 16:21:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-03-21 16:38:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-03-22 05:26:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-04-01 15:39:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-04-02 04:06:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-04-06 11:53:00.000
000,00000000002222222,DAWN,M,ADAMS,OptOut,2019-04-09 12:51:00.000
000,00000000002222222,DAWN,M,ADAMS,OptIn,2019-04-20 15:21:00.000
Upvotes: 0
Views: 79
Reputation: 222512
You can use lag()
to identify records whose activity
is different than the "previous" record:
select t.*
from (
select
t.*,
lag(activity) over(partition by inst, acct order by activityDate) lag_activity
from mytable t
) t
where lag_activity is null or activity <> lag_activity
order by inst, acct, activityDate
Inst | Acct | First | MI | Last | Activty | ActivityDate | lag_activity ---: | ------: | :----- | :--- | :----- | :------ | :---------------------- | :----------- 1 | 1111111 | EDWARD | null | BICKLE | OptIn | 2019-05-25 12:02:00.000 | null 1 | 1111111 | EDWARD | null | BICKLE | OptOut | 2019-06-20 11:57:00.000 | OptIn 1 | 1111111 | EDWARD | null | BICKLE | OptIn | 2019-06-27 10:34:00.000 | OptOut 1 | 1111111 | EDWARD | null | BICKLE | OptOut | 2019-06-27 10:35:00.000 | OptIn 1 | 1111111 | KIM | null | BICKLE | OptIn | 2019-07-02 11:35:42.000 | OptOut 1 | 1111111 | EDWARD | null | BICKLE | OptOut | 2019-07-05 15:04:00.000 | OptIn 1 | 1111111 | EDWARD | null | BICKLE | OptIn | 2019-07-06 07:57:00.000 | OptOut 0 | 2222222 | DAWN | M | ADAMS | OptOut | 2019-03-03 20:51:00.000 | null 0 | 2222222 | DAWN | M | ADAMS | OptIn | 2019-03-08 19:10:00.000 | OptOut 0 | 2222222 | DAWN | M | ADAMS | OptOut | 2019-03-18 16:21:00.000 | OptIn
0 | 2222222 | DAWN | M | ADAMS | OptIn | 2019-03-21 16:38:00.000 | OptOut
0 | 2222222 | DAWN | M | ADAMS | OptOut | 2019-03-22 05:26:00.000 | OptIn 0 | 2222222 | DAWN | M | ADAMS | OptIn | 2019-04-01 15:39:00.000 | OptOut 0 | 2222222 | DAWN | M | ADAMS | OptOut | 2019-04-02 04:06:00.000 | OptIn
0 | 2222222 | DAWN | M | ADAMS | OptIn | 2019-04-06 11:53:00.000 | OptOut 0 | 2222222 | DAWN | M | ADAMS | OptOut | 2019-04-09 12:51:00.000 | OptIn
0 | 2222222 | DAWN | M | ADAMS | OptIn | 2019-04-20 15:21:00.000 | OptOut
Upvotes: 1