By Timothy Ross
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Additional info for Xml, Managing Data Exchange
Xml Created on : February 4, 2006 Author : Dr. ” Remember, the data types ID and IDREF are synonymous with the primary key and foreign key, respectively. For every foreign key (IDREF), there must be a matching primary key (ID). Note that the IDREF data type has to be an alphanumeric string. The following example illustrates the ID/IDREF approach. Notice that the ID for the amenity pool is defined as “k1,” and every hotel with a pool as an amenity references “k1,” using IDREF. If the IDREF does not match any ID, then the document will not validate.
A custom data type can be a simple type or complex type. For simplicity, we create a custom data type that is a simple type, which means that the element does not contain other elements or attributes. It contains text only. The creation of a custom simple type starts from using a built-in simple type and applying it with restrictions, or facets, to limit the acceptable values of the tag. A custom simple type can be nameless or named. If the custom simple type is to be used only once, then it makes sense to not name it; thus, that custom type will only be used in where it is defined.
For example, one might want to specify the format of a telephone number, a postal code, or a product code. By having a defined pattern for certain elements, the data exchanged will be uniform and the values will be consistent when stored in a database. A useful way to set patterns is through Regex, which will be discussed in later chapters. Schema examples The following is a schema that extends the schema introduced in the previous chapter to include a one-to-many relationship of city to hotels with two examples of custom data types.