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

下载文档 降价啦

1
0
约2.6万字
约 29页
2017-07-15 发布于河南
举报
版权申诉
保障服务

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

1、本文档共29页，可阅读全部内容。
2、有哪些信誉好的足球投注网站（book118）网站文档一经付费（服务费），不意味着购买了该文档的版权，仅供个人/单位学习、研究之用，不得用于商业用途，未经授权，严禁复制、发行、汇编、翻译或者网络传播等，侵权必究。
3、本站所有内容均由合作方或网友上传，本站不对文档的完整性、权威性及其观点立场正确性做任何保证或承诺！文档内容仅供研究参考，付费前请自行鉴别。如您付费，意味着您自己接受本站规则且自行承担风险，本站不退款、不进行额外附加服务；查看《如何避免下载的几个坑》。如果您已付费下载过本站文档，您可以点击这里二次下载。
4、如文档侵犯商业秘密、侵犯著作权、侵犯人身权等，请点击“版权申诉”（推荐），也可以打举报电话：400-050-0827(电话支持时间：9:00-18:30)。

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