I’ve got a core table and and 3 tables that extend the ‘core’ table in different ways.
I’m working with MLS data and I have a ‘common’ table that contains information common to all mls listings and then a table that has specifically “residential” information, one for “commercial”,etc… I have been using mls number to join a single table when I know a listing when the property type is known, but for searching I want to join all of them and have the special fields available for search criteria (not simply searching the common table).
What type of join will give me a dataset that will contain all listings (including the extended fields in the idx tables) ?
For each Common table record there is a single corresponding record in ONLY ONE of the idx tables.
___________
| |
| COMMON |
| |
|___________|
_|_
|
___________________|_____________________
_|_ _|_ _|_
_____|_____ _____|______ ____|______
| | | | | |
| IDX1 | | IDX2 | | IDX3 |
| | | | | |
|___________| |____________| |___________|
If you want everything in one row, you can use something like this format. Basically it gives you all the “Common” fields, then the other fields if there is a match otherwise
NULL:Bear in mind it’s better to list out fields than to use the
SELECT *whenever possible…Also I’m assuming MySQL syntax is the same as SQL Server, which is what I use.