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area-query-gradingQuery grading engineQuery grading enginepriority-highHigh priority issueHigh priority issuetype-ml-improvementML system improvementsML system improvements
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Goal
Integrate with actual database execution plans and train models on production query performance data.
Proposed Improvements
- Add EXPLAIN plan parsing for MySQL, PostgreSQL, Oracle
- Collect execution statistics from production databases
- Train cost estimation models on actual query plans
- Implement cardinality estimation integration
Success Metrics
- Execution time prediction within 20% error margin
- Cost estimation accuracy >85%
- Plan structure prediction accuracy >80%
Related Components
analyzer/ml/query_plan_predictor.pyanalyzer/ml/performance_impact_predictor.py
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area-query-gradingQuery grading engineQuery grading enginepriority-highHigh priority issueHigh priority issuetype-ml-improvementML system improvementsML system improvements