High-Performance Database Indexing & Query Patterns with PostgreSQL and Prisma
Kowshik Valipireddy
Full Stack Developer & AI Engineer
Optimizing relational database performance requires understanding how PostgreSQL plans, indexes, and scans large datasets.
1. Understanding EXPLAIN ANALYZE in PostgreSQL
Prefixing queries with EXPLAIN ANALYZE reveals sequential scans, index lookups, and heap fetch overhead.
2. B-Tree vs GIN Indexes: When to Use Which
B-Tree indexes optimize equality, range, and sorting queries, while GIN indexes excel at full-text search and JSONB documents.
3. Eliminating N+1 Query Traps in Prisma ORM
Batching relation queries using include and select prevents sending repetitive individual queries across network boundaries.
Related Topics & Technologies
Kowshik Valipireddy
AuthorFull Stack Developer & AI Engineer
Full Stack Developer specializing in React, Next.js, Node.js, and AI workflows. Passionate about building fast, accessible, and SEO-optimized web experiences.
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