Common SQL Errors

PostgreSQL too_many_connections Error 53300 Explained and Fixed

August 4, 2025

PostgreSQL error 53300 (too_many_connections) appears when the server has reached its max_connections limit and cannot accept new client sessions.

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What is PostgreSQL error 53300 too_many_connections?

PostgreSQL error 53300 (too_many_connections) signals that the database has hit its max_connections count, blocking new sessions. Reduce idle clients, increase max_connections, or add a connection pooler to resolve the issue.

Error Highlights

Typical Error Message

PostgreSQL Error 53300

Error Type

Connection Error

Language

PostgreSQL

Symbol

too_many_connections

Error Code

53300

SQL State

Explanation

Table of Contents

What is PostgreSQL error 53300 (too_many_connections)?

PostgreSQL raises error code 53300 with the message "too many connections" when a new client tries to connect but the server has already allocated all available connection slots defined by the max_connections parameter.

The failure stops the session before authentication and can cascade across applications that rely on the same database, so fast remediation is critical for uptime.

What Causes This Error?

Exceeding max_connections is the direct trigger. Each backend process claims one slot.

When slots equal the configured ceiling plus reserved superuser slots, PostgreSQL rejects further attempts.

Surges in traffic, connection leaks in application code, and long-running idle sessions frequently exhaust the pool. Misconfigured connection pooling or monitoring tools that open persistent sessions can also consume capacity.

How to Fix PostgreSQL Error 53300

Free unused sessions first.

Superusers can connect using the reserved slots, inspect pg_stat_activity, and terminate idle connections with pg_terminate_backend().

If workload legitimately needs more slots, increase max_connections in postgresql.conf and reload or restart. For high scale, add PgBouncer or Pgpool-II to multiplex thousands of logical clients onto fewer physical connections.

Common Scenarios and Solutions

Web applications without pooling often open one connection per HTTP request.

Deploying PgBouncer in transaction mode caps physical sessions while keeping response latency low.

Background jobs that forget to close connections leak slots. Add ensureClose() logic or use connection-pool libraries with timeout cleanup.

Best Practices to Avoid This Error

Set max_connections based on RAM (roughly shared_buffers * 3) and expected peak load. Monitor pg_stat_activity and alert at 75 percent usage.

Adopt connection pools.

Galaxy's desktop SQL editor automatically reuses sessions and shows active connection counts, helping developers keep usage low during query testing.

Related Errors and Solutions

FATAL: remaining connection slots are reserved for non-replication superuser connections – occurs when max_connections is hit by non-superusers.

FATAL: sorry, too many clients already (MySQL 1040) – the MySQL counterpart solved by similar pooling and parameter tuning.

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Common Causes

Related Errors

FAQs

How many connection slots does PostgreSQL reserve for superusers?

By default, three slots are kept free for roles with SUPERUSER so administrators can still connect and fix issues.

Can I change max_connections without a restart?

You can increase max_connections only with a postmaster restart. A plain reload applies if your new value is below the compiled maximum and shared memory allows.

What is a safe max_connections value?

Balance against RAM because each backend consumes memory. Many installations run 200-500 slots and rely on pooling for higher logical concurrency.

How does Galaxy help avoid 53300?

Galaxy reuses editor sessions, shows active connection counts in its UI, and encourages connection pooling best practices via inline tips.

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