PostgreSQL delete with inner join
SqlPostgresqlSql Problem Overview
DELETE B.*
FROM m_productprice B
INNER JOIN m_product C ON B.m_product_id = C.m_product_id
WHERE C.upc = '7094' AND B.m_pricelist_version_id = '1000020'
i am getting the following error PostgreSQL 8.2.11
ERROR: syntax error at or near "B"
LINE 1: DELETE B.* from m_productprice B INNER JOIN m_product C ON ...
i tried giving
DELETE B from m_productprice B INNER JOIN m_product C ON B....
ERROR: syntax error at or near "B"
i tried giving
ERROR: syntax error at or near "INNER"
LINE 1: DELETE from m_productprice B INNER JOIN m_product C ON B.m_...
what is the problem with my query?
Sql Solutions
Solution 1 - Sql
DELETE
FROM m_productprice B
USING m_product C
WHERE B.m_product_id = C.m_product_id AND
C.upc = '7094' AND
B.m_pricelist_version_id='1000020';
or
DELETE
FROM m_productprice
WHERE m_pricelist_version_id='1000020' AND
m_product_id IN (SELECT m_product_id
FROM m_product
WHERE upc = '7094');
Solution 2 - Sql
This worked for me:
DELETE from m_productprice
WHERE m_pricelist_version_id='1000020'
AND m_product_id IN (SELECT m_product_id
FROM m_product
WHERE upc = '7094');
Solution 3 - Sql
If you have more than one join you could use comma separated USING statements:
DELETE
FROM
AAA AS a
USING
BBB AS b,
CCC AS c
WHERE
a.id = b.id
AND a.id = c.id
AND a.uid = 12345
AND c.gid = 's434sd4'
Solution 4 - Sql
Another form that works with Postgres 9.1+ is combining a Common Table Expression with the USING statement for the join.
WITH prod AS (select m_product_id, upc from m_product where upc='7094')
DELETE FROM m_productprice B
USING prod C
WHERE B.m_product_id = C.m_product_id
AND B.m_pricelist_version_id = '1000020';
Solution 5 - Sql
Just use a subquery with INNER JOIN, LEFT JOIN or smth else:
DELETE FROM m_productprice
WHERE m_product_id IN
(
SELECT B.m_product_id
FROM m_productprice B
INNER JOIN m_product C
ON B.m_product_id = C.m_product_id
WHERE C.upc = '7094'
AND B.m_pricelist_version_id = '1000020'
)
to optimize the query,
-
use NOT EXISTS instead of
IN
-
and WITH for large subqueries