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Improve your SQL query performance, understand execution plans, and structure indexes effectively in PostgreSQL databases.
Databases are the heart of web applications, yet they are frequently the main performance bottleneck. Often, slow response times aren't caused by server capacity limits but by suboptimal schema design and poorly written queries.
In this tutorial, we will look at using EXPLAIN ANALYZE to analyze query execution strategies, configuring B-Tree and GIN indexes, optimizing partial index schemas, and structuring multi-column keys appropriately.
Additionally, we will discuss how ORMs like Prisma handle relation joins and how developer-driven query caching reduces database load.