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As a result, the proposed SQL2 and SQL3 standards were a good deal more controversial than the initial SQL standard The SQL2 standard weaved its way through the ANSI approval process and was finally approved in October 1992 While the original 1986 standard took less than 100 pages, the SQL2 standard (officially called SQL-92) takes nearly 600 pages The SQL2 standards committee acknowledged the large step from SQL1 to SQL2 by explicitly creating three levels of SQL2 standards compliance The lowest compliance level (Entry-Level) requires only minimal additional capability beyond the SQL-89 standard The middle compliance level (Intermediate-Level) was created as an achievable major step beyond SQL-89, but one that avoids the most complex and most systemdependent and DBMS brand-dependent issues The third compliance level (Full) requires a full implementation of all SQL2 capabilities.

create trigger new_sls insert on salesreps . . . create trigger del_cus_chk delete on customers . . . create trigger ord_upd update on orders . . . create trigger sls_upd update of quota, sales on salesreps . . .

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Throughout the 600 pages of the standard, each description of each feature includes a definition of the specific aspects of that feature that must be supported to achieve Entry, Intermediate, or Full compliance Despite the existence of a SQL2 standard for more than ten years, popular commercial SQL products do not, in practice, fully implement the SQL2 specification, and no two commercial SQL products support exactly the same SQL dialect Moreover, as database vendors introduce new capabilities, they continually expand their SQL dialects and move them slightly further apart The central core of the SQL language has become fairly standardized, however Where it could be done without hurting existing customers or features, vendors have brought their products into conformance with the SQL-89 standard, and with the most useful capabilities of the SQL2 standard In the meantime, work continues on standards beyond SQL2.

The last example is a trigger that fires only when two specific columns of the SALESREPS table are updated.

The SQL3 effort effectively fragmented into separate standardization efforts and focused on different extensions to SQL Some of these, such as stored procedure capabilities, are already found in many commercial SQL products and pose the same standardization challenges faced by SQL2 Others, such as proposed object extensions to SQL, are not yet widely available or fully implemented, but have generated a great deal of controversy With most vendors only recently implementing major SQL2 capabilities, and with the diversity of SQL extensions now available in commercial products, work on SQL3 has taken on less commercial importance..

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Part VI:

I Performance optimizations. With container-managed persistence, a container must make an all-or-nothing assumption about persisting instance variables. Every time the variables must be stored or loaded, all of the variables must be handled. In many applications, the entity bean may be able to determine that depending on its particular state, only a few of the variables need to be processed. If the entity bean holds a lot of data, the performance difference can be significant. I Database optimizations. If the methods of an entity bean that implement its business logic involve heavy database access (queries and updates), then some of the database operations that the container will carry out in a container-managed persistence scheme may be redundant. If bean-managed persistence is used instead, the bean may be able to determine exactly when database operations are required for synchronization and when the database is already up to date. In practice, these limitations often prevent the use of container-managed persistence in today s deployments. Enhancements in newer versions of the EJB specification are designed to address many of these shortcomings. However, bean-managed persistence remains a very important technique with the currently available application servers.

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