LEFT JOIN same table - Postgres 9.2 I've got this table:

CREATE TABLE clients (
  id       BIGSERIAL NOT NULL,
  company  CHARACTER VARYING(255) DEFAULT '' NOT NULL,
  email    CHARACTER VARYING(50) DEFAULT '' NOT NULL,
  city     CHARACTER VARYING(80),            
  postcode CHARACTER VARYING(20),
);


I got a list of cities and postcode. I need to find if any row matches with the data I have:

City,Zipcode
Lansdowne,2163
Villawood,2163
Smithfield,2164


I'm using this query; how can I achieve the expected result?

SELECT 
    t1.id,
    t1.city,
    t1.company,
    t1.postcode
FROM 
    clients t1 
LEFT JOIN 
    clients t2 ON t2.city = t1.city
LEFT JOIN 
    clients t3 ON t3.postcode = t1.postcode
WHERE t2.city IN ('Lansdowne','Villawood','Smithfield',) 
AND t3.postcode IN ('2164','2163','2163',)


Would the query be right?
Would the query be right?


No. It would find any combination of given cities and postcodes (like  ('Smithfield', '2163'). This Cartesian product would become increasingly expensive and nonsensical for more combinations in one query.

And the query itself is needlessly expensive and confusing on top of that. LEFT JOIN is misplaced and joins would not be needed.

The shortest, cleanest and fastest way to match on multiple rows (combination of multiple column values) is to join to a VALUES expression (which is an ad-hoc table expression):

SELECT id, city, company, postcode
FROM   clients
JOIN  (
   VALUES
   ('Lansdowne' , '2163')
 , ('Villawood' , '2163')
 , ('Smithfield', '2164')
   ) v(city, postcode) USING (city, postcode);


For a big table, to make this fast, you should have an index on (city, postcode) or vice versa or at least an index with these two as leading columns.