Oracle PL/SQL Performance Tuning Tips & Techniques - Rosenblum, Michael; Dorsey, Paul
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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Proven PL/SQL Optimization Solutions In Oracle PL/SQL Performance Tuning Tips & Techniques, Oracle ACE authors with decades of experience building complex production systems for government, industry, and educational organizations present a hands-on approach to enabling optimal results from PL/SQL. The book begins by describing the discovery process required to pinpoint performance problems and then provides…mehr

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Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product. Proven PL/SQL Optimization Solutions In Oracle PL/SQL Performance Tuning Tips & Techniques, Oracle ACE authors with decades of experience building complex production systems for government, industry, and educational organizations present a hands-on approach to enabling optimal results from PL/SQL. The book begins by describing the discovery process required to pinpoint performance problems and then provides measurable and repeatable test cases. In-depth coverage of linking SQL and PL/SQL is followed by deep dives into essential Oracle Database performance tuning tools. Real-world examples and best practices are included throughout this Oracle Press guide. * Follow a request-driven nine-step process to identify and address performance problems in web applications * Use performance-related database tools, including data dictionary views, logging, tracing, PL/SQL Hierarchical Profiler, PL/Scope, and RUNSTATS * Instrument code to pinpoint performance issues using call stack APIs, error stack APIs, and timing markers * Embed PL/SQL in SQL and manage user-defined functions * Embed SQL in PL/SQL using a set-based approach to handle large volumes of data * Properly write and deploy data manipulation language triggers to avoid performance problems * Work with advanced datatypes, including LOBs and XML * Use caching techniques to avoid redundant operations * Effectively use dynamic SQL to reduce the amount of code needed and streamline system management * Manage version control and ensure that performance fixes are successfully deployed Code examples in the book are available for download.