What are the Effects of Increasing Connections on Database Server?
In terms of resources, the impact that the connections count on the database server could not be ignored. As more and more database servers become a source of connection, to the same extend they will be required to address the constrained quantity of the resources. Some of the key resource implications include:
- Memory Usage: Each active connection consumes a notable amount of memory on the database server to manage session states and handle client requests. Studies suggest PostgreSQL may require between 3MB to 14.5MB per connection based on the workload
- CPU Utilization: As more connections are added, the server’s CPU usage increases, potentially slowing down transaction execution.
- Resource Contention: Ensure database design accommodates shared resources, like server capacity for caching, to avoid application degradation, impacting performance, responsiveness, and client perception.
How to Use ORM Connection Pooling Effectively
In software development, efficient database connection management is important for optimal performance and scalability. Object–Relational Mapping (ORM) has revolutionized database interactions, simplifying SQL queries. However, even with advanced ORM frameworks, poor connection management can impact performance.
In this article, We will learn about the ORM connection pooling technique, a key optimization for database access, How to Create a Pooled Connection, the Effects of Increasing Connections on a Database Server, and so on.
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