I thought I'd be flexible this time around and let the users decide what contact information the wish to store in their database. In theory it would look as a single row containing, for instance; name, address, zipcode, Category X, Listitems A.
Example
FieldType table defining the datatypes available to a user:
FieldTypeID, FieldTypeName, TableName
1,"Integer","tblContactInt"
2,"String50","tblContactStr50"
...
A user the define his fields in the FieldDefinition table:
FieldDefinitionID, FieldTypeID, FieldDefinitionName
11,2,"Name"
12,2,"Address"
13,1,"Age"
Finally we store the actual contact data in separate tables depending on its datatype. Master table, only contains the ContactID
tblContact:
ContactID
21
22
tblContactStr50:
ContactStr50ID,ContactID,FieldDefinitionID,ContactStr50Value
31,21,11,"Person A"
32,21,12,"Address of person A"
33,22,11,"Person B"
tblContactInt:
ContactIntID,ContactID,FieldDefinitionID,ContactIntValue
41,22,13,27
Question: Is it possible to return the content of these tables in two rows like this:
ContactID,Name,Address,Age
21,"Person A","Address of person A",NULL
22,"Person B",NULL,27
I have looked into using the COALESCE and Temp tables, wondering if this is at all possible. Even if it is: maybe I'm only adding complexity whilst sacrificing performance for benefit in datastorage and user definition option.
What do you think?
I don't think this is a good way to go because:
I personally think it's better to go for a less "generic" approach. Keep it simple.
Update: The question is, do you really need a flexible solution like this? For contact data, you always expect to be able to store at least a core set of fields (address line 1-n, first name, surname etc). If you need a way for the user to store custom/user definable data on top of that standard data set, that's a common requirement. Various options include:
These have been discussed before here on SO so would be worth digging around for that question. Can't seem to find the question I'm remembering after a quick look though!
Found some that discuss the pros/cons of the key-value approach, to save repeating:
Key value pairs in relational database
Key/Value pairs in a database table