Data & Database Workflows (page 32 of 40)
PostgreSQL, SQL, CSV, JSON, Excel, PDF, and conversion pipelines — practical workflows for working with structured data safely.
- How to Design a Fast PostgreSQL Schema
A practical guide to designing a fast PostgreSQL schema, with clear advice on data types, table layout, indexes, normalization, JSONB, row width, and production-friendly growth patterns.
- How to Find Slow Queries in PostgreSQL
A practical guide to finding slow queries in PostgreSQL, with real workflows for pg_stat_statements, EXPLAIN ANALYZE, pg_stat_activity, log_min_duration_statement, and production-safe troubleshooting.
- How to Monitor PostgreSQL Performance
A practical guide to monitoring PostgreSQL performance, covering the most useful database views, logging settings, I/O indicators, lock signals, and application-side metrics that actually help diagnose bottlenecks.
- How to Optimize Slow PostgreSQL Queries
A practical guide to optimizing slow PostgreSQL queries, with real fixes for scans, indexes, joins, sorting, pagination, JSONB, stale stats, and application-side query design.
- How to Reduce PostgreSQL Table Bloat
A practical guide to reducing PostgreSQL table bloat, including how bloat forms, how to prevent it, how to diagnose it, and when to use VACUUM, REINDEX, VACUUM FULL, CLUSTER, or table rewrites.
- How to Scale PostgreSQL for Millions of Rows
A practical guide to scaling PostgreSQL for millions of rows, covering schema design, indexing, partitioning, query optimization, maintenance, and production-safe growth patterns.
- How to Secure PostgreSQL Connections and Roles
A practical guide to securing PostgreSQL connections and roles, including TLS, host-based authentication, SCRAM, least-privilege role design, public schema hardening, and safer production patterns.
- How to Use PostgreSQL Full-Text Search
A practical guide to using PostgreSQL full-text search, including tsvector, tsquery, GIN indexing, ranking, highlighting, and the patterns that work well in real applications.
- PostgreSQL ANALYZE Command Explained
A practical guide to PostgreSQL ANALYZE, including what statistics it collects, why the planner needs them, when manual ANALYZE helps, and how to avoid stale-statistics performance problems.
- PostgreSQL Backup and Restore Best Practices
A practical guide to PostgreSQL backup and restore best practices, covering logical backups, physical backups, point-in-time recovery, backup verification, restore drills, and the mistakes that cause painful recoveries.