🔗 12 practices for optimizing PostgreSQL queries for large datasets

Ali Hamza Ansari outlines essential strategies for optimizing PostgreSQL queries, particularly when dealing with large datasets. He emphasizes the critical role of indexing, demonstrating how effective indexing can significantly reduce execution time. Normalization, while necessary, must be balanced against performance costs from excessive joins. Selecting specific columns rather than using SELECT * also conserves resources. Best practices like ordering JOINs correctly, employing LIMIT for manageable data retrieval, and utilizing partial indexes are discussed. Additionally, Ansari highlights the importance of using appropriate data types, avoiding functions on indexed columns, and leveraging partitioning to manage extensive tables. He warns against long-running transactions and explains how to manage table and index bloat effectively, using techniques like VACUUM to maintain optimal database performance. The article presents a concise toolkit for database administrators looking to enhance PostgreSQL efficiency, ensuring responsiveness even with large volumes of data.