I have two tables like so:
table1(user, id, sex) table2(user, name, sex)
jjj 123 m jjj John m
jjj 124 m bbb Bob m
jjj 125 m ppp Pete f
bbb 126 m
bbb 127 f
ppp 128 f
ppp 129 m
ppp 130 m
I want result table where it displays all the users with their names and sex from table 2 who changed their sex at some point along with a count of how many users each name has. So this would be the result table:
(user, name, sex, count)
bbb Bob m 2
ppp Pete f 3
Currently im using this query:
select table2.user, table2.name, table2.sex, count(*)
from table1
join table2 on table1.user = table2.user
where table1.sex <> table2.sex
group by table2.user, table2.name, table2.sex
order by user
However the count column just counts from the resulting join table and not from original table1. Any ideas? thanks.
If I follow this correctly, one option use a lateral join and filtering:
select t2.*, t1.cnt
from table2 t2
inner join lateral (
select count(*) as cnt, min(sex) as minsex, max(sex) as maxsex
from table1 t1
where t1.user = t2.user
) t1 on t1.minsex <> t1.maxsex or t1.minsex <> t2.sex
Basically this filters table1
on users that have different sex
or whose sex
is different than in table2
.
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