The JusDB Database Engineering Blog

Size and configure the InnoDB buffer pool correctly to maximize cache hit ratios and minimize disk I/O

Measure PostgreSQL table and index bloat, then use pg_repack to reclaim space with zero downtime

Fine-tune PostgreSQL autovacuum to eliminate dead tuples, prevent table bloat, and maintain query performance

Use MySQL Performance Schema to profile queries, monitor memory, and diagnose bottlenecks without guesswork

Decode PostgreSQL wait events to diagnose lock contention, I/O bottlenecks, and CPU pressure in production

How to use pg_stat_statements to identify slow queries, analyze execution stats, and optimize PostgreSQL performance

Five counterintuitive database performance truths every engineer gets wrong — over-indexing costs, N+1 queries, connection pool sizing, replica reads, and EXPLAIN limitations.

Use MySQL Performance Schema to find top queries by total time, detect blocking transactions in real time, audit index usage, and analyze memory allocation.

Master pg_stat_statements for PostgreSQL query analysis. Find top queries by total time, detect plan instability via stddev, identify I/O-heavy queries, and track WAL generation.

Right-size your PostgreSQL connection pool using the (cores*2)+1 formula. PgBouncer configuration, per-user limits, pool saturation monitoring, and transaction mode pitfalls.

Guide the PostgreSQL query planner with enable_xxx settings, pg_hint_plan extension, and extended statistics for correlated columns. Fix bad plans without rewriting queries.

Benchmark MySQL with sysbench OLTP workloads. Covers setup, read/write and read-only suites, interpreting TPS and 95th percentile latency, and comparing before/after changes.