Consiglio la seguente domanda:
SELECT [Permissive Export_OLD 1].ACCOUNTNO, [Permissive Export_OLD 1].KEYNO, [Permissive Export_OLD 1].NAME1, [Permissive Export_OLD 1].NAME2, [Permissive Export_OLD 1].ADDRESS1, [Permissive Export_OLD 1].ADDRESS2, [Permissive Export_OLD 1].CITY, [Permissive Export_OLD 1].STATE, [Permissive Export_OLD 1].ZIPCODE
FROM [Permissive Export_OLD 1], [Permissive Export_OLD 1] AS [Permissive Export_OLD 1_1]
WHERE ((([Permissive Export_OLD 1].ADDRESS2)=[Permissive Export_OLD 1_1].[ADDRESS2]) AND (([Permissive Export_OLD 1].ZIPCODE)<>[Permissive Export_OLD 1_1].[ZIPCODE]))
GROUP BY [Permissive Export_OLD 1].ACCOUNTNO, [Permissive Export_OLD 1].KEYNO, [Permissive Export_OLD 1].NAME1, [Permissive Export_OLD 1].NAME2, [Permissive Export_OLD 1].ADDRESS1, [Permissive Export_OLD 1].ADDRESS2, [Permissive Export_OLD 1].CITY, [Permissive Export_OLD 1].STATE, [Permissive Export_OLD 1].ZIPCODE;
Questa query confronta ogni riga nella tabella con ogni altra riga nella tabella per trovare indirizzo2 = indirizzo2 ma zipcode <> zipcode. La query restituirà tutti i record che si adattano a tali criteri come righe separate.