Okay, I tried this for you on Postgres (I don't have MySQL here, so maybe it's a little bit different):
select matches.id,
(matches.tfirstname
+ matches.tlastname
+ matches.tschool
+ matches.tcollege
+ matches.tuniversity) as total
from (
select u.id,
(case when u.firstname like '%a%' then 1 else 0 end) as tfirstname,
(case when u.lastname like '%b%' then 1 else 0 end) as tlastname,
sum(e2.nschool) as tschool,
sum(e2.ncollege) as tcollege,
sum(e2.nuniversity) as tuniversity
from tbluser u left outer join (
select e.usr,
(case when e.school like '%c%' then 1 else 0 end) as nschool,
(case when e.college like '%d%' then 1 else 0 end) as ncollege,
(case when e.university like '%e%' then 1 else 0 end) as nuniversity
from tbleduc e
) e2 on u.id=e2.usr
group by u.id, u.firstname, u.lastname
) as matches
I used these DDL statements to create the tables:
create table tbluser (
id int primary key,
firstname varchar(255),
lastname varchar(255)
)
create table tbleduc (
id int primary key,
usr int references tbluser,
school varchar(255),
college varchar(255),
university varchar(255)
)
And a little bit of example data:
insert into tbluser(id, firstname, lastname)
values (1, 'Jason', 'Bourne');
insert into tbleduc(id, usr, school, college, university)
values (1, 1, 'SomeSchool', 'SomeCollege', 'SomeUniversity');
insert into tbleduc(id, usr, school, college, university)
values (2, 1, 'MoreSchool', 'MoreCollege', 'MoreUniversity');
The query can be simplified a bit, if the relationship between tbluser
and tbleduc
is 1:1.
Don't forget to replace the %a%
, %b
, ... with your variables (I recommend using a prepared statement).
I hope this template helps as a basic solution - you can tweak it as much as you like :-) You can also remove the outermost select statement, to get the counters of the individual results.