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This article will explain in detail how to improve the performance of the database. The editor thinks it is very practical, so I share it for you as a reference. I hope you can get something after reading this article.

Here are six practical ways to improve database performance without adding a more powerful server, rewriting code or consulting a third party:

Add memory

Extending SQL Server is a challenging, time-consuming and complex project, which requires a certain amount of cost, triggers a series of operational problems, and is far from easy. This is why if companies have a choice, they all want to extend SQL Server rather than give up. The solution at this point in time is to convert memory because the process is fast and easy to complete. You can migrate all server instances to 64-bit computers so that you have enough memory to ensure better performance.

Get faster disks

Disk storage determines the performance of the database, because if it is not enough and ignored, SQL Server becomes an I / O constraint before running out of memory, processors become slower, and network adapters have problems. When communicating with disks, upgrading to solid state disks and using the fast SAN protocol will help DBA handle database requirements efficiently.

Upgrade your network connection

To improve the scalability of the SQL Server database, you can run multiple network adapters at the same time, one for each primary server. If your current network is compatible with 10 Gbps Ethernet adapters, using multiple servers will immediately improve database performance and speed at the adapter level.

Make full use of virtualization technology

Virtualization is an effective way to gain performance benefits from SQL Server databases. It enables enterprises to run multiple workloads on a single host, so databases running on one server can be easily converted to VM, increasing flexibility among multiple instances. VM's application will allow you to automatically and flexibly migrate your computer from one host to another, depending on the workload. Virtualization supports dynamic scaling, and the disruption to database availability is negligible. It ensures that the hardware always works efficiently and provides a * * experience for end users.

Take advantage of cach

Typically, 80% of database queries are reads and the remaining 20% are writes, so it is safe to conclude that most applications are slow to read. This is why caching is very beneficial for applications, because all read queries can be serviced directly. The challenge here, however, is to ensure that the cache does not serve stale data or require recoding. The easiest way to overcome these challenges is to use caching in conjunction with database load balancing software. Once your traffic passes through the load balancer, you can get responses to cache duplicates and complex queries without any application changes, ensuring that your application is as efficient as the database server. And you can have the software automatically invalidate the cache where the data has changed.

Expand when it makes sense.

Eventually, every enterprise reaches a saturation point, and because your memory is exhausted, there is no room to upgrade, and you are already using memory in a * * way, you can't get more advantage from the database. At this stage, the most feasible solution is the expansion of the infrastructure.

The database load balancing software on the SQL layer is used to achieve seamless and efficient conversion, reduce the database load, and improve asset utilization and cost efficiency. Database load balancing software can easily and efficiently perform most SQL functions, including automatic failover, traffic management, and read / write separation, enabling applications to take full advantage of extended databases without changing any code.

This is the end of the article on "how to improve database performance". I hope the above content can be helpful to you, so that you can learn more knowledge. if you think the article is good, please share it for more people to see.

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