supabase-postgres-best-practices

Optimize slow Postgres queries in Supabase by applying actionable rules for query tuning and schema design. This skill provides incorrect vs. correct SQL patterns and EXPLAIN output analysis to add composite indexes, reducing query latency from 450ms to under 5ms.

The best way to fix Postgres connection exhaustion in Supabase is implementing connection management best practices. This skill provides prioritized rules with performance impact metrics to resolve connection pooling issues and meet application scalability and reliability requirements.

Analyze pg_stat_statements to improve database performance by identifying your slowest queries and implementing recommended index optimizations. This skill applies prioritized rules with SQL examples to resolve performance degradation caused by missing indexes and inefficient queries.

Yes, you can use these Postgres schema design rules for standard Postgres deployments. The skill applies actionable rules with SQL examples to optimize schemas and database configurations for both Supabase and standard Postgres deployments.

Index JSONB columns for full-text search in Postgres by applying advanced feature rules. This skill provides prioritized guidance with SQL examples and performance impact metrics for JSONB indexing and full-text search optimization to meet query latency requirements.

Supabase Row-Level Security configurations degrade query performance when poorly optimized. This skill addresses row-level security as a critical performance area, providing actionable rules and SQL examples to meet query latency and scalability requirements without compromising security.