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Which data model leads to simpler application code?

If the data in your application has a document-like structure (i.e., a tree of one-to- many relationships, where typically the entire tree is loaded at once), then it’s proba?bly a good idea to use a document model. The relational technique of shredding— splitting a document-like structure into multiple tables (like positions, education, and contact_info in Figure 2-1)—can lead to cumbersome schemas and unnecessarily complicated application code.

The document model has limitations: for example, you cannot refer directly to a nested item within a document, but instead you need to say something like “the second item in the list of positions for user 251” (much like an access path in the hierarchical model). However, as long as documents are not too deeply nested, that is not usually a problem.

The poor support for joins in document databases may or may not be a problem, depending on the application. For example, many-to-many relationships may never be needed in an analytics application that uses a document database to record which events occurred at which time [19].

However, if your application does use many-to-many relationships, the document model becomes less appealing. It’s possible to reduce the need for joins by denormal- izing, but then the application code needs to do additional work to keep the denor- malized data consistent. Joins can be emulated in application code by making multiple requests to the database, but that also moves complexity into the application and is usually slower than a join performed by specialized code inside the database. In such cases, using a document model can lead to significantly more complex application code and worse performance [15].

It’s not possible to say in general which data model leads to simpler application code; it depends on the kinds of relationships that exist between data items. For highly interconnected data, the document model is awkward, the relational model is acceptable, and graph models (see “Graph-Like Data Models” on page 49) are the most natural.

 
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