Buchdetails
Beschreibung
Follow a request-driven nine-step process to identify and address performance problems in web applicationsUse performance-related database tools, including data dictionary views, logging, tracing, PL/SQL Hierarchical Profiler, PL/Scope, and RUNSTATSInstrument code to pinpoint performance issues using call stack APIs, error stack APIs, and timing markersEmbed PL/SQL in SQL and manage user-defined functionsEmbed SQL in PL/SQL using a set-based approach to handle large volumes of dataProperly write and deploy data manipulation language triggers to avoid performance problemsWork with advanced datatypes, including LOBs and XMLUse caching techniques to avoid redundant operationsEffectively use dynamic SQL to reduce the amount of code needed and streamline system managementManage version control and ensure that performance fixes are successfully deployedCode examples in the book are available for download.