I have two tables similar to shown below (just leaving out fields for simplicity).
Table lead
:
id | fname | lname | email
---------------------------------------------
1 | John | Doe | [email protected]
2 | Mike | Johnson | [email protected]
Table leadcustom
:
id | leadid | name | value
-------------------------------------------------
1 | 1 | utm_medium | cpc
2 | 1 | utm_term | fall
3 | 1 | subject | business
4 | 2 | utm_medium | display
5 | 2 | utm_term | summer
6 | 2 | month | may
7 | 2 | color | red
I have a database that captures leads for a wide variety of forms that often have many different form fields. The first table gets the basic info that I know is on each form. The second table captures all other forms fields that were sent over so it can really contain a lot of different fields.
What I am trying to do is to do a join where I can grab all fields from lead
table along with utm_medium
and utm_term
from leadcustom
table. I don't need any additional fields even if they were sent over.
Desired results :
id | fname | lname | email | utm_medium | utm_term
---------------------------------------------------------------------------
1 | John | Doe | [email protected] | cpc | fall
2 | Mike | Johnson | [email protected] | display | summer
Only way I know I could do this is to grab all lead data and then for each record make more calls to get leadcustom
data I am looking for but I know there has to me a more efficient way of getting this data.
I appreciate any help with this and it is not something I can change the way I capture that data and table formats.
If your columns are fixed, you can do this with group by + case + max like this:
The case will assign value from the leadcustom table when it matches the given name, otherwise it will return null, and max will pick take the assigned value if it exists over the null.
You can test this in SQL Fiddle
The other way to do this is to use pivot operator, but that syntax is slightly more complex -- or at least this is more easy for me.