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CHAPTER 5 ORACLE PROCESSES
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known as the Parallel Query Coordinator. Its name won t change at the operating system level, but as you read documentation on parallel query, when you see references to the coordinator process, know that it is simply your original server process.
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Summary
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We ve covered the files used by Oracle, from the lowly but important parameter file to data files, redo log files, and so on. We ve taken a look inside the memory structures used by Oracle, both in the server processes and the SGA. We ve seen how different server configurations, such as shared server versus dedicated server mode for connections, will have a dramatic impact on how memory is used by the system. Lastly, we looked at the processes (or threads, depending on the operating system) that enable Oracle to do what it does. Now we are ready to look at the implementation of some other features of Oracle, such as locking, concurrency controls, and transactions.
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CHAPTER 6
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One 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 Developing Successful Oracle Applications ). 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; in reality, it adds overhead only if the implementation adds overhead. In the next chapter, we ll continue this discussion and investigate Oracle s multi-versioning techniques and how locking strategies interact with them.
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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 that instance of that stored procedure 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 including as Sybase, Microsoft SQL Server, and Informix. All three of these databases provide locking mechanisms for concurrency control, but there are deep and fundamental differences in the way locking is implemented in each one.
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