Categorize common optimization symptoms by the class of intervention they most strongly suggest.
Place each tuning symptom in the bucket that best matches the strongest first investigation. Likely stats / selectivity work Likely index / access-path work Likely rewrite / query-shape work Estimated 800 rows, actual reality is closer to millions ORDER BY ... LIMIT still sorts a large candidate set A single-use CTE over a huge table gets filtered only in the outer query A latest-rows dashboard has stable predicates but no index matching the sort order Predicate uses an expression that hides the distribution the planner needs to estimate Ranking happens on a global set even though the report only needs…
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