Oracle Database 19c: SQL Tuning Workshop — Lesson 1: SQL Processing, Cursors, Optimizer Decisions, Statistics, and Evidence

Learning Objectives

• Explain the architecture, workflow, or business purpose behind parse, bind, optimize, execute, fetch, and cursor-sharing lifecycle.
• Apply cost-based optimizer inputs, transformations, and goal settings and object, column, system, and dynamic statistics in a controlled scenario.
• Validate outcomes and troubleshoot risks involving SQL identifiers, AWR and cursor evidence, reproducible data, and baseline timing.

Detailed Topics

• parse, bind, optimize, execute, fetch, and cursor-sharing lifecycle
• cost-based optimizer inputs, transformations, and goal settings
• object, column, system, and dynamic statistics
• SQL identifiers, AWR and cursor evidence, reproducible data, and baseline timing

Instructor Demonstration

Demonstrate parse, bind, optimize, execute, fetch, and cursor-sharing lifecycle within a reporting query and transaction query tuned without sacrificing correctness, concurrency, or plan stability, then capture the exact configuration, command, transaction, report, model, query, code, or process evidence that proves the result for lesson 1.

Hands-On Exercise

Implement a controlled exercise covering cost-based optimizer inputs, transformations, and goal settings and object, column, system, and dynamic statistics, then introduce and resolve an exception involving SQL identifiers, AWR and cursor evidence, reproducible data, and baseline timing while preserving before-and-after evidence.

1. Confirm the environment, identities, inputs, dependencies, risks, and expected outcome.
2. Complete the course-specific configuration, development, analysis, or process workflow.
3. Capture settings, commands, data, outputs, logs, reports, screenshots, calculations, or test results.
4. Compare the observed result with acceptance criteria and document corrective action.

Scenario Analysis

• Identify the technical or business decision that must be made.
• Compare valid approaches and their security, performance, reliability, cost, compliance, and support trade-offs.
• Define rollback, recovery, ownership, communication, and evidence requirements.

Troubleshooting Guidance

Diagnose issues across parse, bind, optimize, execute, fetch, and cursor-sharing lifecycle, cost-based optimizer inputs, transformations, and goal settings, object, column, system, and dynamic statistics, SQL identifiers, AWR and cursor evidence, reproducible data, and baseline timing without making an unverified production change. Separate symptoms from causes, gather evidence, test the smallest reversible correction, rerun validation, and record preventive action.

Validation Checklist

• The requirement, scope, inputs, dependencies, and expected result are documented.
• The result is reproducible and supported by course-specific evidence.
• Normal, boundary, failure, security, performance, and operational conditions are reviewed.
• Exceptions, rollback, ownership, and the next improvement priority are recorded.

Lesson Outcome

Learners can apply SQL Processing, Cursors, Optimizer Decisions, Statistics, and Evidence in a realistic Oracle Database 19c: SQL Tuning Workshop scenario and validate the result with documented evidence.