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The SQL/PSM standard specifies the common programming structures that are found in most stored procedure dialects to control the flow of execution. Figure 20-20 shows the conditional branching and looping syntax. Note that the SQL statement lists specified for each structure consist of a sequence of SQL statements, each ending with a semicolon. Thus, explicit block structures are not required for simple multistatement sequences that appear in an IF THEN ELSE statement or in a LOOP statement. The looping structures provide a great deal of flexibility for loop processing. There are forms that place the test at the top of the loop or at the bottom of the loop, as well as a form that provides infinite looping and requires the explicit coding of a test to break loop execution. Each of the program control structures is explicitly terminated by an END flag that matches the type of structure, making programming debugging easier.

Oracle has used database caching within its own Oracle Application Server, and has attempted to use caching as a competitive advantage. IBM is naturally positioned to offer integrated database caching for its DB2 DBMS, but has not introduced such a capability at this writing. Several third-party products have been introduced as database caches for application servers, including products from several of the object-oriented database vendors and from in-memory database vendors. Whether database caching will substantially impact the application server market is still an open question.

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The SQL/PSM standard extends the cursor manipulation capabilities specified in the SQL2 standard for embedded SQL into SQL routines. The DECLARE CURSOR, OPEN, FETCH, and CLOSE statements retain their roles and functions. Instead of using application program host variables to supply parameter values and to receive retrieved data, SQL routine parameters and variables can be used for these functions. The SQL/PSM standard introduces one new cursor-controlled looping structure, shown in Figure 20-21. Like the similar structures in the Oracle and Informix dialects described in the Cursor-Based Repetition section earlier in this chapter, it combines the cursor definition and the OPEN, FETCH, and CLOSE statements into a single loop definition that also specifies the processing to be performed for each row of retrieved query results.

Summary

20:

This chapter described application servers and the role they play linking the World Wide Web to back-end enterprise systems, including enterprise databases: I Popular application servers implement the J2EE specification, which standardizes database access through a JDBC API. I Business logic within an application server is implemented by EJBs, which may be session beans or entity beans. I Session beans embody user sessions. They can access databases directly through JDBC calls. I Stateless session beans support very simple, one-transaction-per-invocation data access. I Stateful beans support transactions that cross invocations, but their logic must handle the need to persist state across passivations and activations. I Entity beans embody real-world objects, and correspond to rows in database tables. They are always stateful. I Entity beans can use container-managed persistence, where the application server automatically handles entity bean/database synchronization. I Alternatively, entity beans can take responsibility for their own database synchronization, under the bean-managed persistence scheme.

ELSEIF search-condition THEN statement-list;

- 61 -

23

ELSE statement-list;

ver the last two decades, computer networking has radically transformed the landscape of corporate computing. In most companies, every personal computer is connected to a local area network (LAN). Powerful LAN-attached workgroup servers meet the computing needs of individual departments. Corporatewide networks interconnect the LANs within a building or campus, and connect them to divisional or corporate data centers. Additional links interconnect corporate locations around the world. The Internet provides a network of networks, linking companies to one another and to individual customers. Application programs run on computers at every level and at every location within this networked environment. In this new, highly-networked environment, computer data does not reside on a single system under the control of a single DBMS. Instead, data within an organization is spread across many different systems, each with its own database manager. Often, the various computer systems and database management systems come from different manufacturers. As companies try to interconnect their data processing systems via the Internet, the challenge becomes even greater. Even if a company has managed to standardize on a single, companywide DBMS and on database structures, those standards won t apply to its suppliers or customers as it tries to build external links to conduct business electronically. These trends have led to a strong focus in the computer industry and in the data management community on the problems of database management in a networked environment. This chapter discusses the challenges of managing distributed data, the variety of architectural approaches, and some of the products that DBMS vendors have offered to meet those challenges.

Looping: LOOP statement-list; END LOOP label: label: WHILE search-condition DO statement-list; END WHILE label: label: REPEAT statement-list UNTIL search-condition END REPEAT label: label:

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