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When the bean has completed its task, the information is not needed anymore The next invocation again receives all of the information it needs, so there is no need to carry over status information Even more importantly, the database activity on each invocation is completely independent from every other invocation No database transaction spans multiple method invocations..

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The Web has already shown to be an effective architecture for dealing with these types of peak-load Internet volume demands through web site caching Copies of heavily accessed web pages are pulled forward in the network and replicated As a result, the total network capacity for serving web pages is increased, and the amount of network traffic associated with those page hits is reduced Similar architectures are beginning to emerge for high-volume Internet database management, as shown in Figure 23-18 In this case, an Internet information services application caches hot data, such as the most recent news and financial information, in a very high-performance main-memory database from a vendor such as TimesTen Performance Software It also stores summary user profile information in a main-memory database, which is used to personalize users experiences as they interact with the web site.

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Many web interactions can t live with the limitations imposed by stateless session beans. Consider a more complex web-based form that spans four pages. As the user fills out each page and sends it to the web site, the session bean must accumulate the information and retain it across the four page clicks until all of the data is ready to be captured into a database. The need to retain information across method invocations calls for a stateful session bean.

As Figure 23-18 shows, the methods for handling high-performance data management are beginning to follow those already established for high-performance web page management The issues for databases are more complex because of database integrity issues, but the emerging techniques are similar replication, high-volume read access, memory-resident databases, and highly fault-tolerant architectures These demands will only grow as Internet traffic and personalization continues to increase, leading to more advanced network database architectures..

Part VI:

Summary

Web server AppSvr request Application server Session bean Java code JDBC SQL request SQL results HTML results

Summary

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This chapter described the distributed data management capabilities offered by various DBMS products and the trade-offs involved in providing access to remote data: I A distributed database is implemented by a network of computer systems, each running its own copy of the DBMS software and operating autonomously for local data access. The copies of the DBMS cooperate to provide remote data access when required.

Database server(s)

23:

FIGURE 22-4

Figure 23-18.

Another example in which a stateful session bean is appropriate is a commercial web site where a user shops online and accumulates a list of items to be purchased in an online shopping cart. After 40 or 50 clicks through the web site, the user may have accumulated five or six items in the shopping cart. If the user then clicks a button requesting display of the current shopping cart contents, those contents are probably most easily maintained as a session bean state. In both of these examples, the session bean requires continuity of database access to effectively accomplish its tasks. Figure 22-5 shows the pattern, in contrast to the pattern of interactions in Figure 22-4. Even if the bean can be implemented without instance variables (for example, by storing all of its state information in a back-end database), it needs one continuous database session to carry out its database access. The client-side API for the DBMS maintains this session, and the API itself will need to maintain session-state information across session bean method invocations.

I The ideal distributed database is one in which the user doesn t know and doesn t care that the data is distributed; to the user, all of the relevant data appears as if it were on the local system. I Because this ideal distributed DBMS is very difficult to provide and involves too many performance trade-offs, commercial DBMS products are providing distributed database capability in phases. I Remote database access can be useful in situations where the remote access is a small part of total database activity; in this case, it s more practical to leave the data in the remote location and incur the network overhead for each database access.

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