Common Supabase Fixes
Curated guides for addressing issues identified in Supabase Report Cards.
Common Supabase Fixes
Our curated set of the best, practical guides to address issues identified in our Supabase Report Cards, typically RLS, indexing, query performance, logging/monitoring, and data lifecycle (archiving/partitioning).
A curated set of practical guides for issues our Report Cards typically flag: RLS, indexing, query performance, logging/monitoring, and data lifecycle. Supabase-first where possible; Postgres references where needed. Inline links and numbered references included.
Row Level Security (RLS)
- Supabase RLS fundamentals and policy patterns (enable RLS, auth roles, policies, helpers). [1]
- RLS overview and when to use it in Supabase. [2]
- RLS performance tips for Supabase: index policy columns; wrap functions with SELECT for plan caching. [3]
Indexing (coverage, missing FKs, partial indexes)
- Managing indexes in Supabase (create, drop, inspect). [4]
- Postgres index types and patterns (B-tree, GIN/BRIN, multicolumn, partial, index-only scans, ORDER BY). [5]
Query Performance (EXPLAIN, plan reading, hotspots)
- Supabase query optimization guide (use EXPLAIN/ANALYZE, common pitfalls). [6]
- Supabase debugging performance issues (step-by-step). [7]
- Postgres EXPLAIN/EXPLAIN ANALYZE references. [8][9]
- pg_stat_statements (track top time consumers, mean latency, calls). [10]
Logging and Monitoring (slow queries, autovacuum, errors)
- Supabase debugging and monitoring overview. [11]
- Postgres logging configuration (slow query logging, sampling, autovacuum logs, JSON/CSV, rotation). [12]
Data Lifecycle: Archiving, Partitioning, Table Growth
- Supabase partitioning tables (Range/List/Hash, pruning, when to use). [13]
- Partitioning vs. sharding (when to combine approaches). [14]
- Automating partition maintenance (pg_partman patterns; pre-create/rotate/drop). [15]
How to apply these to Report Card findings
RLS Coverage
Enable RLS on exposed schemas; add minimal SELECT/INSERT/UPDATE/DELETE policies using auth.uid(); index policy columns; wrap functions with SELECT for plan caching. [1][3]
Proper Indexing
Start with foreign keys and frequent JOIN/WHERE columns; consider partial indexes (e.g., WHERE deleted_at IS NULL); confirm with EXPLAIN and index-usage views. [4][5][8][9]
Query Performance
Use pg_stat_statements to identify queries by total time and average latency; read plans with EXPLAIN ANALYZE + BUFFERS; iterate and reset stats to measure impact. [6][7][8][9][10]
Error-Free Logs
Enable JSON/CSV logs; set log_min_duration_statement or a sampled threshold; log autovacuum actions for visibility. [11][12]
Storage/Archiving
Range-partition time-based tables; schedule partition creation and drops; keep hot partitions on fast storage, cold on cheaper tiers. [13][14][15]
References
- Supabase Docs — Row Level Security (policies, auth roles, helpers) —
- Supabase Features — Authorization via Row Level Security —
- RLS performance tips for Supabase (index policy columns; wrap functions with SELECT) —
- Supabase Docs — Managing indexes —
- PostgreSQL Docs — Index types and patterns —
- Supabase Docs — Query optimization —
- Supabase Docs — Debugging performance issues —
- PostgreSQL Docs — EXPLAIN command reference —
- PostgreSQL Docs — Using EXPLAIN —
- PostgreSQL Docs — pg_stat_statements —
- Supabase Docs — Debugging and monitoring —
- PostgreSQL Docs — Error reporting and logging —
- Supabase Docs — Partitioning tables —
- Citus — Partitioning vs. sharding in Postgres —
- AWS RDS — Managing partitions with pg_partman (general patterns apply) —