Oracle PL/SQL Performance Tuning Tips & Techniques

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Proven PL/SQL Optimization Solutions

• 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