Oracle 9i. Database Performance Methods by Cyran M.

By Cyran M.

This booklet describes how you can increase Oracle functionality through beginning with strong program layout and utilizing facts to watch program functionality. It explains the Oracle functionality development approach and the Emergency functionality technique, and it offers suggestions for facing functionality difficulties.

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With experience, it becomes easy to correlate database statistics with the application workload. A performance DBA learns to use intuition with database statistics and the application profile to determine a system's workload characteristics. A DBA must also anticipate the expected performance of frequently executed transactions. Understanding the core SQL statements in an application is key to performance diagnosis. Much of this activity can be done informally. For example, a core business transaction is required to run in a subsecond response time.

For this reason, the number of concurrent connections to the database should be minimized as much as possible. A simple system, where a user connects at application initialization, is ideal. However, in a Web-based or multi-tiered application, where application servers are used to multiplex database connections to users, this can be difficult. With these types of applications, design efforts should ensure that database connections are pooled and are not re-established for each user request. ■ Good Cursor Usage and Management Maintaining user connections is equally important to minimizing the parsing activity on the system.

A single user on an idle or lightly used system should be tested for acceptable performance. If a single user cannot get acceptable performance under ideal conditions, it is impossible there will be good performance under multiple users where resources are shared. ■ Obtain and document plans for all SQL statements. Obtain an execution plan for each SQL statement, and some metrics should be obtained for at least one execution of the statement. This process should be used to validate that a good execution plan is being obtained by the optimizer and the relative cost of the SQL statement is understood in terms of CPU time and physical I/Os.

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