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TIMESTAMP Date and time in year, month, day, hour, minute, and second, but unlike the SQL:2003 standard, the precision is speci ed in fractional seconds. VARCHAR Variable character data up to a maximum length of 4000 characters. Oracle SQL offers the following extensions to the standard data types: BFILE A locator to a large binary le stored outside the database. LONG Variable-length character data up to 2GB in size. This data type is no longer recommended by Oracle because CLOB replaces it. LONG RAW Binary data with a maximum size of 2GB. This data type is no longer recommended by Oracle because BLOB replaces it. NUMBER Numeric data with a precision from 1 through 38 and a precision from 84 through 127. Equivalent to the standard NUMERIC type. NVARCHAR2 Identical to NVARCHAR in all Oracle releases through 10g but recommended by Oracle over NVARCHAR because Oracle may someday change the implementation of NVARCHAR. RAW Binary data with a maximum size of 2000 bytes. This data type is no longer recommended by Oracle because BLOB replaces it. ROWID Base 64 string representing the unique address of a row in its table. UROWID Base 64 string representing the logical address of a row in an index-organized table. VARCHAR2 Identical to VARCHAR in Oracle releases 7 through 10g but recommended by Oracle over VARCHAR because Oracle may someday change the implementation of VARCHAR.

The convergence of the application server market around the J2EE specification effectively standardized the external interface between the application server and a DBMS around JDBC. Conceptually, an application server can automatically access any database product that offers a JDBC-compliant API, thus achieving DBMS independence. In practice, subtle differences between the DBMS systems in areas like SQL dialects and database naming still require some tweaking and testing, and manifest themselves in subtle dependencies within the code deployed on the application server. However, these differences tend to be minor, and adjusting for them is relatively straightforward.

The approach to data management for the application code running on the application server is a slightly more complicated story While the application server does provide uniform services for data management, it provides these in several different architectures, using the different types of EJBs in the J2EE specification The application designer must choose among these approaches, and in some cases, will mix and match them to achieve the requirements of the application.

Here are some of the decisions that must be made: I Will the application logic do direct database access from within a session bean, or will database contents be represented as entity beans, with database access logic encapsulated within them I If direct access from session beans is used, can the session bean remain stateless (which simplifies the coding of the bean and its management by the application server), or does the logic of database access require the bean to be stateful, preserving a context from one invocation to another I If entity beans are used to represent database contents, can the application rely on the container-managed persistence provided by the application server to manage database interaction, or does the application s logic require that the entity bean provide its own database access logic through bean-managed persistence I If entity beans are used to model database contents, do the beans correspond on a one-to-one basis to the tables in the underlying database (fine-grained modeling), or is it more appropriate for the beans to present a higher-level, more object-oriented view of the data, with the data within each bean drawn from multiple database tables (coarse-grained modeling) The trade-offs represented by these design questions provide an excellent perspective on the challenge of matching SQL and relational database technology to the demands of the World Wide Web and its stateless architecture, and the demands of application servers and object-oriented programming.

The next several sections describe the basics of EJBs and the trade-offs among the different data access architectures they can support..

The IBM DB2 Universal Database (UDB) supports the following standard data types: BLOB A binary large object with a maximum length of 2,147,483,647 bytes. CHAR Fixed-length character data with a maximum length of 254 characters.

Within a J2EE-compliant application server, the user-developed Java applications code that implements the specific business logic is packaged and executes as a collection of EJBs. An EJB has a well-defined set of external interfaces (methods) that it must provide, and is written with an explicit set of class-specific public methods that define the external interface to the bean. The work done within the bean, and any private data variables that it maintains for its own use, can be encapsulated and hidden from other beans and from developers who do not need to know these internal details and should not write code that depends on them.

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