Querying Profiler Data For Performance Optimization
Analyze profiling data with 5 steps: PROFILER_RUNS, PROFILER_LINES, PROFILER_DATA, PROFILER_ERRORS & identify high-cost operations for optimization.
Explanation of Each Step from Query Profiling Data in Detail Once you have executed and stopped profiling using the DBMS_PROFILER.START_PROFILING and DBMS_PROFILER.STOP_PROFILING procedures, the next critical step is to analyze the profiling data to identify performance bottlenecks. You achieve this by querying the profiling tables, such as PROFILER_RUNS, PROFILER_DATA, PROFILER_LINES, and PROFILER_ERRORS. Let's break down the querying and analysis process step-by-step. Step 1: Query the PROFILER_RUNS Table Purpose: The PROFILER_RUNS table provides metadata about each profiling run, includin...