Reputation: 3011
I've got two primary tables: codes
and categories
.
I've also got a join table code_mappings
which associates codes with categories.
I need to be able to determine which codes are mapped to one group of categories, but not mapped to another. Been banging my head against this for a while, but am completely stuck.
Here's the schema:
create table codes(
id int,
name varchar(256));
create table code_mappings(
id int,
code_id int,
category_id int);
create table categories(
id int,
name varchar(256));
And some seed data:
INSERT INTO categories VALUES(1, 'Dental');
INSERT INTO categories VALUES(2, 'Weight');
INSERT INTO categories VALUES(3, 'Other');
INSERT INTO categories VALUES(4, 'Acme Co');
INSERT INTO categories VALUES(5, 'No Name');
INSERT INTO codes VALUES(100, "big bag of cat food");
INSERT INTO codes VALUES(200, "healthy doggie treatz");
INSERT INTO code_mappings VALUES(50, 200, 1);
INSERT INTO code_mappings VALUES(51, 100, 4);
INSERT INTO code_mappings VALUES(52, 100, 3);
How would I write a query that will give me the codes that are mapped to one of categories (1,2,3) but not to one of categories (4,5)?
Upvotes: 0
Views: 33
Reputation: 44250
SELECT *
FROM codes co
WHERE EXISTS (
SELECT *
FROM code_mappings ex
WHERE ex.code_id = co.id
AND ex.category_id IN (1,2,3)
)
AND NOT EXISTS (
SELECT *
FROM code_mappings nx
WHERE nx.code_id = co.id
AND nx.category_id IN (4,5)
)
;
Upvotes: 1
Reputation: 1270693
This is an example of a set-within-sets
query. I like to approach these using group by
and having
, because I find that the most flexible approach:
select cm.code_id
from code_mappings cm
group by cm.code_id
having sum(case when cm.category_id in (1, 2, 3) then 1 else 0 end) = 1 and
sum(case when cm.category_id in (4, 5) then 1 else 0 end) = 0;
Each condition in the having
clause implements exactly one of the conditions. You said one code of 1, 2, or 3, hence the = 1
(if you wanted at least one of these three, it would be > 0
). You said no 4 or 5, hence = 0
.
Upvotes: 1