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Optimieren langsam SQL queries

Identifizieren und fix langsam SQL queries mit EXPLAIN Analyse, index optimization, und Abfrage rewriting techniques.

  1. 1

    Query optimization steps: (1) Run EXPLAIN ANALYZE to see the execution plan. (2) Look for sequential scans on large tables — add indexes. (3) Check join types — nested loops are slow for large tables. (4) Reduce the working set with WHERE before JOIN. (5) Avoid SELECT * — fetch only needed columns. (6) Use LIMIT for pagination instead of OFFSET.

  2. 2
    SQL-Formatierer →

    Formatieren the query for readability before analysis. A well-formatted query makes it easier to spot inefficiencies: missing WHERE clauses, unnecessary subqueries, redundant joins. Format also helps when comparing the query with the EXPLAIN output.

  3. 3

    Use the SQL format workflow to format, analyze, and document the query. This produces a clean, readable query with consistent indentation that is easier to optimize.

Häufige Fragen

When should I add an index?
Hinzufügen indexes on columns used in WHERE, JOIN, and ORDER BY clauses. Composite indexes for multi-column conditions (order matters — put equality conditions first). Avoid indexes on low-cardinality columns (boolean, gender) — they rarely help. Monitor index usage and remove unused indexes (they slow writes).
Why is OFFSET bad for pagination?
OFFSET skips rows by scanning and discarding them — page 1000 with LIMIT 10 scans 10,010 rows. Use keyset pagination (WHERE id > last_id ORDER BY id LIMIT 10) instead — it scans only the 10 rows. For complex sort orders, use a composite cursor (sort column + unique id).

Workflows, die diese Aufgabe lösen

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