Tell us about your experience with PostgreSQL. Have you dealt with optimization issues?

In working with PostgreSQL, I was involved in both query development and optimization. The main approaches to optimization:

• Analyzing query execution plans using EXPLAIN and EXPLAIN ANALYZE to identify bottlenecks.
• Creating and properly using indexes (B-tree, GIN, GiST) to speed up searches.
• Normalization and denormalization of data depending on the use case.
• Using table partitioning to handle large volumes of data.
• Optimizing queries by rewriting JOINs, using subqueries and CTEs.
• Configuring server parameters such as work_mem, shared_buffers to improve performance.

For example, when working with large tables, I created composite indexes on frequently used fields in WHERE and JOIN clauses, which significantly reduced query execution times.