PostgreSQL Config Calculator

Generate a tuned postgresql.conf from your hardware and workload. Pick RAM, cores, connection count and workload type, and get shared_buffers, work_mem, WAL sizing and parallel query settings — calculated entirely in your browser.

What each setting does

  • max_connections = 200 Hard cap on backends; each one reserves memory even when idle.
  • shared_buffers = 4GB PostgreSQL's own page cache. Requires a restart to change.
  • effective_cache_size = 12GB Planner hint for OS + PostgreSQL cache. Allocates nothing.
  • maintenance_work_mem = 1GB Memory for VACUUM, CREATE INDEX and ALTER TABLE ADD FOREIGN KEY.
  • checkpoint_completion_target = 0.9 Spreads checkpoint writes over 90% of the interval.
  • wal_buffers = 16MB Shared buffer for WAL not yet written to disk.
  • default_statistics_target = 100 Sample size for ANALYZE; higher means better plans, slower ANALYZE.
  • random_page_cost = 1.1 Flash storage: random reads cost about the same as sequential ones.
  • effective_io_concurrency = 200 Concurrent I/O requests the planner assumes the storage can serve.
  • work_mem = 10MB Per sort/hash node, per parallel worker — not per query.
  • huge_pages = off Not worth configuring below ~32 GB of RAM.
  • min_wal_size = 1GB Floor for WAL recycling; avoids constant file creation.
  • max_wal_size = 4GB Triggers a checkpoint once this much WAL accumulates.
  • max_worker_processes = 4 Total background workers, including parallel query and extensions.
  • max_parallel_workers_per_gather = 2 Extra workers a single query may recruit for one Gather node.
  • max_parallel_workers = 4 Parallel workers available across the whole cluster.
  • max_parallel_maintenance_workers = 2 Workers for CREATE INDEX and parallel VACUUM.

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How to use

  1. Enter your server's RAM and vCPU count, then choose the workload type that matches your database.
  2. Adjust max_connections — use a pooler such as PgBouncer instead of pushing this number above ~300.
  3. Copy the generated settings into postgresql.conf (or run the ALTER SYSTEM form) and restart PostgreSQL.

Frequently asked questions

How large should shared_buffers be in PostgreSQL?

About 25% of total RAM is the standard starting point for a dedicated database server, which is what this calculator uses. The operating system cache holds the rest, and effective_cache_size tells the planner how much total cache it can assume. On a shared machine or a desktop, a much smaller value such as 1/16 of RAM is safer.

Why is work_mem so much smaller than my available memory?

work_mem is allocated per sort or hash node, per parallel worker — not per query or per connection. A single complex query can therefore use several multiples of work_mem at once, and every connection can do this concurrently. The calculator divides available memory by the connection count and the parallel worker count so that a burst of concurrent queries cannot exhaust RAM.

Do I need to restart PostgreSQL after changing these settings?

shared_buffers, max_connections and huge_pages require a full restart. Most other values here, including work_mem, maintenance_work_mem, random_page_cost and the WAL sizes, can be applied with a configuration reload via SELECT pg_reload_conf() or pg_ctl reload. Use the ALTER SYSTEM output format if you prefer to change settings over a SQL connection.

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