I need some help for a PostgreSQL query. I have 4 tables involved on it: customer, organization_complete, entity and address. I retrieve some data from everyone and with this query:
SELECT distinct ON (c.customer_number, trim(lower(o.name)), a.street, a.zipcode, a.area, a.country)
c.xid AS customer_xid, o.xid AS entity_xid, c.customer_number, c.deleted, o.name, o.vat, 'organisation' AS customer_type, a.street, a.zipcode, a.city, a.country
FROM customer c
INNER JOIN organisation_complete o ON (c.xid = o.customer_xid AND c.deleted = 'FALSE')
INNER JOIN entity e ON e.customer_xid = o.customer_xid
INNER JOIN address a ON (a.contact_info_xid = e.contact_info_xid and a.address_type = 'delivery')
WHERE c.account_xid = "<value>"
I get a distinct of all the customers splitted by customer_number, name, street, zipcode, area and country (what's specified after the DISTINCT ON statement). What I need to retrieve now is a distinct of all customers having a doubled row on DB but I also need to retrieve the customer_xid and the entity_xid, that are primary keys of the respective tables and so are unique. For this reason they can't be included into an aggregate function. All I need is to count how many rows with the same customer_number, name, street, zipcode, area and country I have for each distinct tuple and to select only tuples with a count bigger than 1. For each selected tuple I need also to take a customer_xid and an entity_xid, at random, like MySQL would do with a_key in a query like this:
SELECT COUNT(*), tab.a_key, tab.b, tab.c from tab
WHERE 1
GROUP BY tab.b
I know MySQL is quite an exception regarding this, I just want to know if may be possible to obtain the same result on PostgreSQL.
Thanks,
L.
FROM
clause. I didn't notice it due to the formatting. Actually that is valid for PostgreSQL too. In case of trouble PG throws an error instead of making up results like MySQL though.