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ne of the key challenges in developing multiuser, database-driven applications is to maximize concurrent access and, at the same time, ensure that each user is able to read and modify the data in a consistent fashion. The locking mechanisms that allow this to happen are key features of any database, and Oracle excels in providing them. However, Oracle s implementation of these features is specific to Oracle just as SQL Server s implementation is to SQL Server and it is up to you, the application developer, to ensure that when your application performs data manipulation, it uses these mechanisms correctly. If you fail to do so, your application will behave in an unexpected way, and inevitably the integrity of your data will be compromised (as was demonstrated in 1). In this chapter, we ll take a detailed look at how Oracle locks both data (e.g., rows in tables) and shared data structures (such as those found in the SGA). We ll investigate the granularity to which Oracle locks data and what that means to you, the developer. When appropriate, I ll contrast Oracle s locking scheme with other popular implementations, mostly to dispel the myth that row-level locking adds overhead; it adds overhead only if the implementation adds overhead. In the next chapter, we ll continue this discussion and investigate Oracle s multiversioning techniques and how locking strategies interact with them.

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mance of your applications when large numbers of messages arrive and there is not a sufficient number of bean instances available to process those messages. Make sure you do some predictive analysis in determining the capacity your system will need to support (including spikes, and growth over the short term). Then run some tests that will show how your hardware, operating system, and application server will perform to meet these expectations. There are almost as many ways to configure hardware and operating systems as there are combinations of the two. Once you are happy with that configuration, make sure your application server pool for MDBs is sized as well. This concludes the discussion on EJB performance. It s time to focus on scalability and high availability, which are two other important aspects of enterprise applications.

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Locks are mechanisms used to regulate concurrent access to a shared resource. Note how I used the term shared resource and not database row. It is true that Oracle locks table data at the row level, but it also uses locks at many other levels to provide concurrent access to various resources. For example, while a stored procedure is executing, the procedure itself is locked in a mode that allows others to execute it, but it will not permit another user to alter it in any way. Locks are used in the database to permit concurrent access to these shared resources, while at the same time providing data integrity and consistency. In a single-user database, locks are not necessary. There is, by definition, only one user modifying the information. However, when multiple users are accessing and modifying data or data structures, it is crucial to have a mechanism in place to prevent concurrent modification of the same piece of information. This is what locking is all about. It is very important to understand that there are as many ways to implement locking in a database as there are databases. Just because you have experience with the locking model of one particular relational database management system (RDBMS) does not mean you know everything about locking. For example, before I got heavily involved with Oracle, I used other databases such as Sybase, Microsoft SQL Server, and Informix. All three of these databases

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High availability and scalability go hand in hand. Every application has some requirement for availability and scalability, and meeting those requirements begins when you start architecting the application. Availability requirements can vary widely. Some applications, say a human resources (HR) application, may have a requirement to be available only during normal business hours. On the other hand, an online bidding system may have a requirement to be available 24/7, year-round. Similarly, the scalability requirements for an HR application may not be as demanding as an online bidding system. The EJB 3 specification doesn t address clustering aspects for EJB applications. However, most application server vendors allow customers to cluster EJB containers to achieve the desired scalability and availability aspects required by today s

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