I have two tables that have identical columns. I would like to join these two tables together into a third one that contains all the rows from the first one and from the second one all the rows that have a date that doesn't exist in the first table for the same location.
Example:
transactions:
date    |location_code| product_code | quantity 
------------+------------------+--------------+----------
2013-01-20 | ABC         | 123          |  -20         
2013-01-23 | ABC         | 123          |  -13.158
2013-02-04 | BCD         | 234          |  -4.063
transactions2:
date    |location_code| product_code | quantity 
------------+------------------+--------------+----------
 2013-01-20 | BDE         | 123          |  -30         
 2013-01-23 | DCF         | 123          |  -2
 2013-02-05 | UXJ         | 234          |  -6
Desired result:
date    |location_code| product_code | quantity 
------------+------------------+--------------+----------
 2013-01-20 | ABC         | 123          |  -20         
 2013-01-23 | ABC         | 123          |  -13.158
 2013-01-23 | DCF         | 123          |  -2
 2013-02-04 | BCD         | 234          |  -4.063
 2013-02-05 | UXJ         | 234          |  -6
How would I go about this? I tried for example this:
SELECT date, location_code, product_code, type, quantity, location_type, updated_at
      ,period_start_date, period_end_date
   INTO transactions_combined
   FROM ( SELECT * FROM transactions_kitchen k
          UNION ALL
          SELECT *
            FROM transactions_admin h
            WHERE h.date NOT IN (SELECT k.date FROM k)
        ) AS t;
but that doesn't take into account that I'd like to include the rows that have the same date, but different location. I have Postgresql 9.2 in use.
 
     
    