PostgreSQL Database Error Code 53300: How to Fix It
Medium 30-60 minutes High Severity
Verified June 2026
- Error Code
- 53300
- Brand
- PostgreSQL
- Product Type
- database
- Severity
- High
- DIY Difficulty
- Medium
- Estimated Fix Time
- 30-60 minutes
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Tools You'll Need
- Database administration tool
- Text editor for config files
- Connection pooler software
- System monitoring tools
How to Fix Error Code 53300
-
Check current connection count
Only superusers can view all connections and modify configuration settings. -
Identify connection sources
-
Close unnecessary connections
Only terminate connections you're certain are safe to close. Terminating active connections can cause application errors. -
Increase max_connections temporarily
Increasing max_connections requires more memory. Each connection uses approximately 10MB of RAM. -
Implement connection pooling
Test connection pooling thoroughly in a development environment before implementing in production. -
Optimize application connection management
-
Monitor and adjust settings
Changes to shared_buffers and other memory settings require a PostgreSQL restart.
Parts You May Need
Connection pooler software
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Monitoring tools
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Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
Connection pooler software
Check Price on Amazon
Monitoring tools
Check Price on Amazon
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When to Call a Professional
Call a database administrator if you're managing a critical production system, if the error persists after trying these fixes, or if you're unsure about modifying PostgreSQL configuration files. Professional help is also recommended for implementing enterprise-grade connection pooling solutions.Frequently Asked Questions
What causes PostgreSQL error 53300 too many connections?
Error 53300 occurs when the number of active database connections reaches the max_connections limit set in postgresql.conf. This can be caused by applications not closing connections, connection leaks, or simply high legitimate traffic exceeding your configured limit.
How do I check how many connections PostgreSQL is using?
Connect as a superuser and run 'SELECT count(*) FROM pg_stat_activity;' to see active connections. Use 'SHOW max_connections;' to see your current limit. The query 'SELECT count(*), state FROM pg_stat_activity GROUP BY state;' shows connections grouped by their status.
What is the default max_connections limit in PostgreSQL?
The default max_connections limit is typically 100, but this can vary by installation and version. You can check your current setting with 'SHOW max_connections;' from within PostgreSQL.
Should I increase max_connections or use connection pooling?
Connection pooling is generally the better long-term solution. While increasing max_connections provides quick relief, it consumes more server memory. Connection poolers like PgBouncer efficiently manage connections and reduce resource usage while supporting more concurrent users.
How much memory does each PostgreSQL connection use?
Each PostgreSQL connection typically uses 10-15MB of RAM, including shared memory allocation. This means 100 connections could use 1-1.5GB of memory. This is why connection pooling is more efficient than simply increasing max_connections.