Is Postgres read heavy or write heavy?
2 days ago
- #Database Performance
- #Postgres
- #Read-Write Traffic
- Postgres databases can be read-heavy or write-heavy, depending on the application's workload.
- Understanding read/write traffic helps in performance tuning and architecture decisions.
- Read-heavy databases benefit from indexing, caching, and read replicas.
- Write-heavy databases require optimizations like faster storage, WAL tuning, and efficient autovacuum settings.
- Postgres reads data in 8kb blocks, which is less costly than writes.
- Writes involve WAL logging, index updates, and potential read overhead.
- A query is provided to estimate read and write traffic using Postgres internal metadata.
- Performance tuning for write-heavy systems includes faster storage, minimizing indexes, and WAL tuning.
- Performance tuning for read-heavy systems focuses on caching, query optimization, and read replicas.
- Most Postgres databases are read-heavy, with a typical ratio of 10:1 reads to writes.