Increase Count Sequentially

Question

I have a dataset which tracks when a user reads a website. A user can read a website and at anytime therefore the user will appear multiple time. I want to create a column which tracks the number of times a user reads a specific website. But since it is a time series, the count should be incremental. I have about 28gbs so pandas will not be able to handle the work load, so I have to write it in sql.

Sample data below:

Date    ID  WebID
201901  Bob X-001
201902  Bob X-002
201903  Bob X-001
201901  Sue X-001

Expected Results:

Date    ID  WebID   Count
201901  Bob X-001   1
201902  Bob X-002   1
201903  Bob X-001   2
201901  Sue X-001   1

Answer 1

use row_number()

select *,row_number() over(partition by id,webid order by date) cnt
from table
order by date,id

Answer 2

You can use below sql query:

Select  count(*) "Count" , Date, ID, WebID, from table group by webid, id, date