Use a Hybrid Storage Approach for Better Mapping Granularity

In the previous section we discussed the following:

• How structured XML documents can be mapped to object-relational instances

• How unstructured XML documents can be stored in LOBs

However, in many cases, you need better control of the mapping granularity.

For instance, when mapping a text document, such as a book, in XML, you may not want every single element to be exploded and stored as object-relational. Storing the font information and paragraph information for such documents in an object-relational format, does not serve any useful purpose with respect to querying.

On the other hand, storing the whole text document in a CLOB reduces the effective SQL queriability on the entire document.

A Hybrid Approach Allows for User-Defined Granularity for Storage

The alternative is to have user-defined granularity for such storage. In the book example, you may want the following:

• To query on top-level elements such as chapter, section, title, and so on, so these can be stored in object relational tables

• To query the book's contents in each section, and these can be stored in a CLOB.

You can specify the granularity of mapping at table definition time. The server can automatically construct the XML from the various sources and decompose queries appropriately.

Figure 1-3 illustrates the Hybrid approach to storage.

Figure 1-3 Hybrid Approach: Querying Top Level Elements in Tables While Contents are in a CLOB

Hybrid Storage Advantages

The advantage of the hybrid storage approach for storing XML documents, is the following:

• It gives the flexibility of storing useful and queryable information in object-relational format while not decomposing the entire document.

• Saves time in reconstructing the document, since the entire document is not broken down.

• Enables text searching on those parts of the document stored in LOBs