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SQL Query Optimization: Tips & Tricks for MySQL, PostgreSQL & More

  • Common causes of slow queries include poorly written SQL statements, inefficient indexing, lack of database normalization, and insufficient server resources.
  • Analyzing query execution plans can help identify bottlenecks for effective optimization.
  • Optimization techniques include choosing the right indexes, optimizing table structures, and writing efficient SQL code.
  • MySQL and PostgreSQL have different indexing and query optimization features. Understanding these differences is important for effective optimization.

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