How to join datasets without a unique ID
Hey All,
Running into a problem, I have a IP address for a user, and wanting to reference the country of origin for IP address. I have imported a IP address database, which shows the IP start and IP end ranges for specific countries. I have modified these and the user IP address to numerical value. The plan was to use between to find the country.
However, I am running into an issue joining to data to be able to use the data. Visual example of the tables below;
user_ip_access
user_id, user_name, user_ip
ip_address_country
ip_range_start, ip_range_end, country_code
Needing to end up with the following;
user_ip_access_plus_country
user_id, user_name, user_ip, country_code
Best Answer
-
Have you try building a dataflow SQL in Domo doing something like this below
Select
concat(a.`user_ip_access`, '_' ,b.`ip_address_country`) as 'user_ip_access_plus_country'
, a.`user_id`
, a.`user_name`
, a.`user_ip`
, b.`country_code`
From `Table1` as a
Left outer join `Table2` as b
on a.`user_ip_acces` between b.`ip_range_start` and b.`ip_range_end`Domo Arigato!
**Say 'Thanks' by clicking the thumbs up in the post that helped you.
**Please mark the post that solves your problem as 'Accepted Solution'1
Answers
-
Are you able to make it work with a Beast Mode CASE WHEN statement?
Such as:
CASE WHEN
user_ip_access BETWEEN ******** and **********
THEN (correlated country)
ELSE Country END
0 -
Have you try building a dataflow SQL in Domo doing something like this below
Select
concat(a.`user_ip_access`, '_' ,b.`ip_address_country`) as 'user_ip_access_plus_country'
, a.`user_id`
, a.`user_name`
, a.`user_ip`
, b.`country_code`
From `Table1` as a
Left outer join `Table2` as b
on a.`user_ip_acces` between b.`ip_range_start` and b.`ip_range_end`Domo Arigato!
**Say 'Thanks' by clicking the thumbs up in the post that helped you.
**Please mark the post that solves your problem as 'Accepted Solution'1
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