<ul><li>SQL developers and data engineers often prioritize functionality over query quality, leading to various issues like long response times and poor scalability.</li><li>Key SQL anti-patterns include N+1 Query Pattern, Wildcard Index Scans, Implicit Data Type Conversions, Scalar Subqueries in SELECT, and SELECT * in Production.</li><li>Solutions involve optimizing queries by using joins, avoiding leading wildcards in LIKE statements, matching data types explicitly, and selecting only necessary columns.</li><li>Other tips include using WHERE clauses in DELETE/UPDATE statements, adding indexes on foreign keys, and correctly utilizing UNION ALL instead of overusing OR.</li></ul>

10 SQL Anti-Patterns You Must Avoid in Production

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