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Managing postgres connections

Skill pumarogie/claude-postgres-skills/skills/managing-postgres-connections

Production Postgres survival skills for Claude Code — schema design, safe migrations, query performance, connection pooling, autovacuum/bloat, and queue/partitioning patterns.

Install
npx -y skills add pumarogie/claude-postgres-skills --skill managing-postgres-connections

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Use when configuring a Postgres connection pool, hitting max connection limits, seeing connection churn, or debugging connection-storm errors.

SKILL.md

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Managing Postgres Connections

Overview

Postgres connections are expensive — each costs CPU and memory. They should be long-lived and pooled. High connection churn wastes resources, and connection storms trigger internal Postgres locks that produce nasty, hard-to-reproduce edge cases.

When to Use

  • Setting up how your app connects to Postgres.
  • Hitting too many connections / remaining connection slots are reserved.
  • Seeing latency spikes or lock contention under load that correlates with new connections.
  • Running many app instances against one database.

Quick Reference

OptionWhenNotes
External pooler (pgbouncer)PreferredSits in front of Postgres; one pool for all app instances
In-memory pooler (e.g. pgxpool for Go)FallbackPer-process; use when you can't run an external pooler
Open/close per requestNeverChurn burns CPU/memory and invites connection storms

Rules

  • Keep connections long-lived — acquire from a pool, return to the pool, don't reconnect per query.
  • Prefer an external pooler (pgbouncer) so all instances share one bounded set of server connections.
  • If you can't guarantee an external pooler (e.g. shipping software that runs against arbitrary customer databases), use an in-memory pooler like pgxpool as a fallback.
  • Bound the pool size — more connections is not more throughput; past a point it's pure contention.

Common Mistakes

  • Opening a fresh connection per request or per query — the storm pattern.
  • No pooler at all, with many app instances each opening connections directly — you exhaust max_connections and hit internal lock edge cases.
  • Setting the pool max very high "to be safe" — large connection counts increase lock contention inside Postgres rather than helping.

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