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所在平台: Udemy |
课程主页: https://www.udemy.com/course/oracle-performance-tuning-shared-pool-waitevents-simulated-2/
课程评论：没有评论
**课程名称：** Oracle Performance Tuning-Shared Pool Waitevents-Simulated-2 **课程概述：** 掌握共享池性能：模拟与解决等待事件 **课程描述：** 本实践课程将指导您如何模拟和解决 Oracle 数据库中与共享池相关的等待事件。您将深入了解共享池的内部工作原理，包括 Library Cache 锁和 Pin、Latch: Shared Pool 以及自适应游标共享。 **您将学到：** * **共享池内部原理：** 理解共享池的工作方式，包括其架构、内存管理和组件。 * **Library Cache 锁和 Pin 等待事件：** 学习如何模拟和解决 Library Cache 锁和 Pin 等待事件，包括： * 理解 Library Cache 锁和 Pin * 模拟 Library Cache 锁和 Pin 等待事件 * 使用 Oracle 诊断工具和技术解决 Library Cache 锁和 Pin 等待事件 * **Latch: Shared Pool 等待事件：** 学习如何模拟和解决 Latch: Shared Pool 等待事件，包括： * 理解共享池中的 Latch 争用 * 模拟 Latch: Shared Pool 等待事件 * 使用 Oracle 诊断工具和技术解决 Latch: Shared Pool 等待事件 * **自适应游标共享 (Adaptive Cursor Sharing)：** 学习如何利用自适应游标共享来提升共享池性能，包括： * 理解自适应游标共享 * 配置自适应游标共享 * 监控和故障排除自适应游标共享 **基于模拟的练习：** 课程中，您将参与基于模拟的练习，这些练习模拟了真实世界的场景。您将学会： * 模拟与共享池相关的等待事件，包括 Library Cache 锁和 Pin、Latch: Shared Pool 以及自适应游标共享问题。 * 使用 Statspack 和 AWR 报告等 Oracle 诊断工具来识别和故障排除与共享池相关的等待事件。 * 运用 Oracle 技术和最佳实践来解决与共享池相关的等待事件。 **课程收益：** * 深入理解共享池的内部原理，以及如何优化其性能。 * 学会如何模拟和解决与共享池相关的等待事件，包括 Library Cache 锁和 Pin、Latch: Shared Pool 以及自适应游标共享问题。 * 培养实际技能，以提升共享池性能并预防等待事件。 * 获取可下载的资源，包括 Oracle 脚本和配置文件，以巩固学习。 **目标学员：** * Oracle 数据库管理员 * 性能调优专业人士 * 数据库开发人员和设计师 * 任何对 Oracle 性能调优和共享池优化感兴趣的人 完成本课程后，您将掌握模拟和解决共享池相关等待事件的知识和技能，优化共享池性能，并提高整体 Oracle 数据库的运行效率。
Mastering Shared Pool Performance: Simulating and Resolving Wait EventsCourse Description:In this hands-on course, you'll learn how to simulate and resolve shared pool related wait events in Oracle databases. You'll gain a deep understanding of the internals of the shared pool, including library cache locks and pins, latch: shared pool, and adaptive cursor sharing.What You'll Learn:- Internals of Shared Pool: Understand how the shared pool works, including its architecture, memory management, and components.- Library Cache Locks and Pins Wait Event: Learn how to simulate and resolve library cache locks and pins wait events, including: - Understanding library cache locks and pins - Simulating library cache locks and pins wait events - Resolving library cache locks and pins wait events using Oracle diagnostic tools and techniques- Latch: Shared Pool Wait Event: Learn how to simulate and resolve latch: shared pool wait events, including: - Understanding latch contention in the shared pool - Simulating latch: shared pool wait events - Resolving latch: shared pool wait events using Oracle diagnostic tools and techniques- Adaptive Cursor Sharing: Learn how to use adaptive cursor sharing to improve shared pool performance, including: - Understanding adaptive cursor sharing - Configuring adaptive cursor sharing - Monitoring and troubleshooting adaptive cursor sharingSimulation-Based Exercises:Throughout the course, you'll participate in simulation-based exercises that mimic real-world scenarios. You'll learn how to:- Simulate shared pool related wait events, including library cache locks and pins, latch: shared pool, and adaptive cursor sharing issues- Use Oracle diagnostic tools, such as Statspack and AWR reports, to identify and troubleshoot shared pool related wait events- Resolve shared pool related wait events using Oracle techniques and best practicesCourse Benefits:- Gain a deep understanding of the internals of the shared pool and how to optimize its performance- Learn how to simulate and resolve shared pool related wait events, including library cache locks and pins, latch: shared pool, and adaptive cursor sharing issues- Develop practical skills to improve shared pool performance and prevent wait events- Get downloadable resources, including Oracle scripts and configuration files, to reinforce learningWho Should Take This Course:- Oracle database administrators- Performance tuning professionals- Database developers and designers- Anyone interested in learning about Oracle performance tuning and shared pool optimizationBy the end of this course, you'll have the knowledge and skills to simulate and resolve shared pool related wait events, optimize shared pool performance, and improve overall Oracle database efficiency.RegardsGautam
