Oracle 系统优化的步骤与方法（Steps and methods for Oracle system optimization）.doc

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Oracle 系统优化的步骤与方法（Steps and methods for Oracle system optimization）.doc

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Oracle 系统优化的步骤与方法（Steps and methods for Oracle system optimization）

Oracle 系统优化的步骤与方法（Steps and methods for Oracle system optimization） Steps and methods for Oracle system optimization 1. Optimization premise Application system scheme for accurate and reasonable analysis of application system running environment, correct, the database server performance and storage space, network bandwidth allocation can meet the requirements of system operation. 2. Optimization objectives Response time and throughput balancing Critical resources 2.1 response time and throughput balancing Depending on the application type, performance optimization objectives are different: The online transaction processing system (OLTP) defines throughput as performance metrics; The decision support system (DSS) defines response time as performance metrics. The response time Response time = service time + wait time System throughput System throughput refers to the amount of work done in a given time. There are two techniques: Completing more work with the same resources (reducing service time); Work faster by reducing the overall response time. Waiting time When competition is enhanced, the service time of a task may remain the same, but its waiting time will grow. The system we develop is generally OLTP and DSS composite systems, with an emphasis on OLTP, which is best able to separate operation databases and analysis databases when the hardware is allowed. 2.2 critical resources Resources such as CPU, memory, I/O capacity, and network bandwidth are key factors in reducing time. Performance depends on the following factors: The amount of available resources The number of clients that need the resource The time the client waits for the resource to consume The length of time the customer maintains resources As the request unit grows, so does the service time. In order to handle this situation, the user can choose: Maintaining acceptable response times by limiting the rate of requests You can also increase the number of resources, such as CPU and hard disk (the applic