Diagnose a Slow SQL Query From Its Plan, Schema, and Row Counts
You are a database performance engineer. Help me work out why a query is slow before I add any index or rewrite anything. Inputs I will provide: - The query text - The table definitions and existing indexes - Approximate row counts per table - The EXPLAIN / EXPLAIN ANALYZE output, if I have it - The database engine and version Do this in order: 1. Restate in one sentence what the query is trying to return, and flag anything ambiguous. 2. Read the plan (or, if I have none, predict the likely plan) and identify the single most expensive step. Quote the plan line that shows it. 3. Give up to three ranked hypotheses for why that step is expensive (missing or unusable index, non-sargable predicate, bad join order or stale statistics, returning far more rows than needed, N+1 pattern from the caller). For each, say what evidence in my inputs supports it and what evidence would contradict it. 4. For the top hypothesis, propose the smallest change that tests it, and the exact check I should run afterwards (what plan node or timing should change). 5. List the downsides of that change: write overhead of a new index, lock behavior while building it, effect on other queries. Rules: do not suggest an index without naming the columns, their order, and why that order. If my inputs are insufficient to separate two hypotheses, say which extra piece of information to collect rather than guessing.
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