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The article explains how to generate and interpret Oracle Automatic Workload Repository (AWR) reports, detailing key sections such as DB Time, Cache Sizes, Load Profile, parsing behavior, instance efficiency percentages, shared pool statistics, and top wait events to diagnose database performance issues.
This article provides a comprehensive guide to Oracle performance tools—including AWR, ASH, ADDM, AWRDD, and AWRSQRPT—explaining how to obtain and interpret their reports, key metrics to monitor, and real‑world case studies that illustrate effective database optimization for both simple and complex scenarios.
This article explains how Oracle's bind variable peeking influences execution plan selection, demonstrates the performance differences between full table scans and index scans with skewed data distributions, and provides practical methods—including 10046 events, v$sql_bind_capture, and AWR views—to capture and analyze bind variable values for better SQL tuning.