What is database connection pooling advantages of using a connection pool?
Using connection pools helps to both alleviate connection management overhead and decrease development tasks for data access. Each time an application attempts to access a backend store (such as a database), it requires resources to create, maintain, and release a connection to that datastore.
How can I reduce the number of database connections?
In fact, throughput starts to fall off due to the overhead from that contention. You can generally improve both latency and throughput by limiting the number of database connections with active transactions to match the available number of resources, and queuing any requests to start a new database transaction which come in while at the limit.
What happens when you have a lot of database connections?
There are a number of independent reasons that performance falls off with more database connections. Disk contention. If you need to go to disk for random access (ie your data isn’t cached in RAM), a large number of connections can tend to force more tables and indexes to be accessed at the same time, causing heavier seeking all over the disk.
What can I do to improve the performance of my database?
Also, make sure your database runs on dedicated hard drives, as this should keep disk fragmentation caused by other processes to a minimum. One number to keep an eye on is disk latency. Depending on hard drive load, disk latency will increase, leading to a decrease in database performance. What can you do about this?
What to do when database utilization is high?
When encountering high compute utilization, mitigation options include: Increasing the compute size of the database or elastic pool to provide the database with more compute resources. See Scale single database resources and Scale elastic pool resources. Optimizing queries to reduce CPU resource utilization of each query.