I have an output.csv from one of the searches and it has two fields: join_date and login_date. Is there any way I can compare these to see if logindate is earlier than joindate?
Account_Name join_date_epoch login_date user1 1465549200 1465432131 user2 1465635600 1465432311 user3 1465722000 1465430101 user4 1465808400 1465433380 user5 1465894800 1465429387 user6 1465981200 1465402810 user7 1466067600 1465433332 user8 1466154000 1465433920 user9 1466240400 1465435287 user10 1466154000
There can be empty login_date because the user might not have logged in.
Any help would be appreciated.
I'd probably use an eval to assign a time of now to any 'empty' login_date. You maybe able to use a coalesce function, possibly something like
... | eval login_date=coalesce(login_date,now()) | ...
that should ensure the login_date is populated for all the events and then you should be able to use a where command to limit the results to just those you require
Ok, i found a way to solve this.
| eval join_date_compare=if(join_date_epoch > login_date, "Yes","No") | where join_date_compare="Yes"
Please let me know if you guys have any advise to improve this.