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What methods of database query optimization can you list?

sobes.tech AI

Answer from AI

  • Indexing: Creating indexes for frequently used columns in WHERE, JOIN, and ORDER BY clauses.
  • Query optimization:
    • Using EXPLAIN/EXPLAIN ANALYZE to analyze the query execution plan.
    • Avoiding SELECT *, explicitly specifying needed columns.
    • Optimizing JOIN operations by choosing the appropriate join type.
    • Minimizing the use of functions in WHERE clause.
    • Avoiding subqueries when JOIN can be used.
    • Optimizing GROUP BY and ORDER BY statements.
  • Denormalization: In controlled cases, duplicating data to reduce the number of JOIN operations.
  • Partitioning: Dividing large tables into smaller, manageable parts.
  • Caching: Caching results of frequently executed queries at the application or database level.
  • Database tuning: Optimizing database server configuration parameters (e.g., RAM, disks, caches).
  • Limiting results: Using LIMIT to retrieve only the necessary number of records.
  • Using ORM tools: Configuring ORM (e.g., Hibernate) to generate optimal SQL queries (lazy/eager loading, caching).
-- Example of query analysis
EXPLAIN SELECT customer_name FROM customers WHERE customer_id = 123;