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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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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.
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SQL: The Complete Reference
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.
The Challenge of Distributed Data Management
When the foundations of relational database management and the SQL language were being laid in the 1970s, almost all commercial data processing happened on large, centralized computer systems. The company s data was stored on mass storage attached to the central system. The business programs that processed transactions and generated reports ran on the central system and accessed the data. Much of the workload of the central system was batch processing. Online users accessed the central system through dumb computer terminals with no processing power of their own. The central system formatted information to be displayed for the online user and accepted data typed by the user for processing. In this environment, the roles of a relational database system and its SQL language were clear and well contained. The DBMS had responsibility for accepting, storing, and retrieving data based on requests expressed in the SQL language. The businessprocessing logic resided outside the database and was the responsibility of the business programs developed and maintained by the information systems staff. The programs and the DBMS software executed on the same centralized system where the data was
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