supabase-postgres-best-practices
references/query-composite-indexes.md
.md 45 lines
Content
---
title: Create Composite Indexes for Multi-Column Queries
impact: HIGH
impactDescription: 5-10x faster multi-column queries
tags: indexes, composite-index, multi-column, query-optimization
---
## Create Composite Indexes for Multi-Column Queries
When queries filter on multiple columns, a composite index is more efficient than separate single-column indexes.
**Incorrect (separate indexes require bitmap scan):**
```sql
-- Two separate indexes
create index orders_status_idx on orders (status);
create index orders_created_idx on orders (created_at);
-- Query must combine both indexes (slower)
select * from orders where status = 'pending' and created_at > '2024-01-01';
```
**Correct (composite index):**
```sql
-- Single composite index (leftmost column first for equality checks)
create index orders_status_created_idx on orders (status, created_at);
-- Query uses one efficient index scan
select * from orders where status = 'pending' and created_at > '2024-01-01';
```
**Column order matters** - place equality columns first, range columns last:
```sql
-- Good: status (=) before created_at (>)
create index idx on orders (status, created_at);
-- Works for: WHERE status = 'pending'
-- Works for: WHERE status = 'pending' AND created_at > '2024-01-01'
-- Does NOT work for: WHERE created_at > '2024-01-01' (leftmost prefix rule)
```
Reference: [Multicolumn Indexes](https://www.postgresql.org/docs/current/indexes-multicolumn.html)