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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.

RMAN provides an array of benefits compared to user-managed backup methods, including the following: You can perform incremental backups using RMAN. The size of the backups doesn t depend on database size; rather, it depends on the activity level within the database, because unchanged blocks are skipped during incremental backups. You can t perform incremental backups any other way. You can perform incremental exports, but that isn t considered a real backup for all databases. You can repair a datafile with a few corrupt data blocks online, without needing to resort to restoring a file from backup. This is called block media recovery.

Even if you use user-managed backups, you can perform block media recovery by cataloging your datafile and archiving redo log backups into the RMAN repository.

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Predicate Information (identified by operation id): --------------------------------------------------2 - filter("A"=1) 3 - access("B"=1) Note the PSTART and PSTOP column values of 1 and 1.This proves that the optimizer is able to perform partition elimination even for nonprefixed local indexes. If you frequently query the preceding table with the following queries: select ... from partitioned_table where a = :a and b = :b; select ... from partitioned_table where b = :b; then you might consider using a local nonprefixed index on (b,a). That index would be useful for both of the preceding queries. The local prefixed index on (a,b) would be useful only for the first query. The bottom line here is that you should not be afraid of nonprefixed indexes or consider them to be major performance inhibitors. If you have many queries that could benefit from a nonprefixed index as outlined previously, then you should consider using one. The main concern is to ensure that your queries contain predicates that allow for index partition elimination whenever possible. The use of prefixed local indexes enforces that consideration. The use of nonprefixed indexes does not. Consider also how the index will be used. If it will be used as the first step in a query plan, there are not many differences between the two types of indexes.

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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