By understanding object-relational, other advanced features (j. melton, morgan kaufmann 2003)

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If any operations were supported, they tended to be simple ones such as substring, concatenation, and basic comparisons (often limited to equality and inequality). In other words, the semantics of the data stored in such cells were not handled by the database system; they were left to the applications to tackle. As a result of customer dissatisfaction with this state of affairs, SQL database system vendors began to explore other approaches to handling the requirements being expressed by their users.

2, I suggested that there is an analogy between an SQL UDT and a C struct. However, a C struct has only data associated with it; there are no semantics associated with that data other than those associated with the data itself and those given it by the application that uses it. By contrast, an SQL UDT comprises not only data but behaviors defined in the form of SQL-invoked routines. Java programmers will immediately recognize the analogy, but SQL goes a bit further than Javamthe semantics of SQL UDTs (as well as of SQL's distinct types) can be provided through routines written entirely in SQL (using SQL/PSM's procedural statements), 14 or through routines written in any of the several programming languages that are supported by the SQL standard (and any others supported by specific products).

As you would expect, the addition of object capabilities to SQL involved a bit of complexity. In order to make sense of the many different aspects involved, the SQL standardization groups identified and labeled a number of features associated with object orientation. Several of those features have been collected into two packages of features specifically associated with object facilities. ") One package, known as PKG006, "Basic object support," provides enough features for a minimal sort of "object-oriented SQL" implementation.

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