How to enable auditing in PostgreSQL
PostgreSQL's Built-in Logging
Configure Log Settings:
Add the following to your PostgreSQL configuration file (postgresql.conf
):
# Basic logging settings
log_destination = 'csvlog'
logging_collector = on
log_directory = 'log'
log_filename = 'postgresql-%Y-%m-%d_%H%M%S.log'
log_rotation_age = 1d
log_rotation_size = 10MB
# What to log
log_statement = 'all' # Options: none, ddl, mod, all
log_connections = on
log_disconnections = on
log_duration = on
Restart PostgreSQL:
# For systemd-based systems
sudo systemctl restart postgresql
# For older systems
sudo service postgresql restart
Verify:
-- Check current logging settings
SHOW log_statement;
SHOW log_connections;
SHOW logging_collector;
pgAudit Extension (Recommended)
For comprehensive auditing capabilities, install the pgaudit
extension:
Install pgaudit:
# Debian/Ubuntu
sudo apt-get install postgresql-[version]-pgaudit
# RHEL/CentOS
sudo yum install pgaudit_[version]
Configure pgaudit:
Add the following to your PostgreSQL configuration file (postgresql.conf
):
# Load the extension
shared_preload_libraries = 'pgaudit'
# Audit settings
pgaudit.log = 'write, ddl'
pgaudit.log_catalog = on
pgaudit.log_parameter = on
pgaudit.log_statement_once = on
pgaudit.log_level = 'log'
Then enable the extension in your database:
-- Connect to your database and run:
CREATE EXTENSION pgaudit;
Restart PostgreSQL:
sudo systemctl restart postgresql
Verify:
-- Verify the extension is installed
SELECT * FROM pg_extension WHERE extname = 'pgaudit';
-- Check current pgaudit settings
SHOW pgaudit.log;
SHOW pgaudit.log_catalog;
-- Test with an auditable operation
CREATE TABLE test_audit(id int);
INSERT INTO test_audit VALUES (1);
DROP TABLE test_audit;
For large databases, selective auditing using pgaudit.log_relation
can help minimize performance impact by focusing only on important tables.
WAL-based Auditing
For advanced use cases, you can use write-ahead log (WAL) decoding for auditing:
Configure WAL Settings:
# Enable logical decoding in postgresql.conf
wal_level = logical
max_replication_slots = 10
Create Replication Slot:
-- Create a replication slot for audit purposes
SELECT * FROM pg_create_logical_replication_slot('audit_slot', 'test_decoding');
Restart PostgreSQL:
sudo systemctl restart postgresql
Verify:
-- Check if slot was created
SELECT * FROM pg_replication_slots WHERE slot_name = 'audit_slot';
-- View recent changes
SELECT * FROM pg_logical_slot_peek_changes('audit_slot', NULL, NULL);
PostgreSQL API-Based Auditing
You can implement auditing at the application level using the PostgreSQL client libraries:
Basic Implementation:
- Create a custom connection wrapper that intercepts SQL operations
- Capture user, database, query text, and parameters before execution
- Record this information to a log file or audit table
- Extend PostgreSQL's client interface to add auditing transparently
- Implement hooks that applications can use without modifying existing code
Additional Considerations:
- Extend this approach to capture connection events and prepared statements
- Forward audit logs to a central logging system (ELK, Prometheus, etc.)
- Consider adding application context (user ID, request ID) to enhance traceability
- Use async logging to minimize performance impact
For enterprise environments managing multiple PostgreSQL instances, Bytebase provides centralized schema change workflows with comprehensive audit trails and compliance checks. This approach allows you to enforce consistent auditing policies across your database fleet.