database-optimization

Analyze slow queries by running EXPLAIN ANALYZE to interpret query plans and identify bottlenecks. This skill teaches you how to read execution plans, detect inefficiencies like N+1 issues, and pinpoint where latency originates in your database workloads.

Covering indexes include all columns needed by a query, partial indexes filter specific rows, and GiST indexes support geometric data. This skill explains when to use each index type to ensure faster queries and reduced latency in PostgreSQL and MySQL.

Reduce OLTP latency by implementing proper indexing strategies, detecting N+1 query issues, and adjusting database configurations. This skill provides targeted performance tuning techniques to speed up transactional workloads in PostgreSQL and MySQL environments.

Yes, partitioning and read replicas improve batch reporting workloads by distributing read operations and segmenting large tables. This skill covers partitioning strategies and read replica considerations to optimize heavy analytical and OLAP workloads.

The best way to fix N+1 query problems is by analyzing query plans with EXPLAIN ANALYZE and applying proper indexing strategies. This skill teaches you to identify repetitive query patterns and optimize them for faster database performance.

Yes, this optimization approach works for both PostgreSQL and MySQL. It covers query analysis, indexing strategies like B-tree and covering indexes, and performance tuning techniques applicable to both platforms for OLTP and OLAP workloads.