Practical Ways to Efficiently Manage PostgreSQL Connections
Improper connection management can lead to serious database performance issues, and Xata Agent offers the following solutions:
- connection monitoring: Real-time display of active/idle connections on the home page dashboard, triggering a warning when the number of connections exceeds 80% of max_connections.
- parameter optimization: The advice page will recommend a reasonable value for max_connections based on the current hardware configuration (usually 100-300 for 4-core servers), and suggests adjusting associated parameters such as max_wal_size.
- Connection Pool Identification: Automatically detects application layer connection pooling configuration issues, such as connection leakage due to incorrectly set timeout parameters
- Conversation analysis: View the specific status of each connection (active/idle/idle in transaction) in the diagnostic interface and identify long-time idle lock-holding sessions.
Best practices suggest using it in conjunction with a connection pooling tool such as pgBouncer, where the Xata Agent verifies that the connection pooling configuration matches the database parameters.
This answer comes from the articleXata Agent: An AI Assistant for Monitoring and Optimizing PostgreSQL Databases》
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