Shulou(Shulou.com)05/31 Report--

Today, I will talk to you about how to implement a distributed database system in SQL Server. Many people may not know much about it. In order to make you understand better, the editor has summarized the following for you. I hope you can get something according to this article.

1. Adapt to the organizational structure of department distribution and reduce costs

The units that use the database are often distributed organizationally (such as departments, departments, workshops, etc.) and geographically. The structure of the distributed database system is in line with the organizational structure of departmental distribution, allowing each department to store its commonly used data locally, input, query, maintain and implement local control. Because the computer resources are close to the users, it can reduce the communication cost, improve the response speed, and make it more convenient and economical for these departments to use the database.

two。 Improve the reliability and availability of the system

Improving the reliability and availability of the system is the main goal of the distributed database of SQL Server database. Better reliability can be provided by distributing data across multiple sites and increasing appropriate redundancy. This is particularly important for some systems that require high reliability. Because a failure in one place will not cause the whole system to collapse. Because the users of the failure site can enter the system through other sites. Users of other sites can automatically select the access path by the system, avoid the failure site, and use other data copies to perform operations, which does not affect the normal operation of the business.

3. Make full use of database resources to improve the utilization of existing centralized databases

When several databases have been built in a large enterprise or department, in order to make use of each other's resources and to develop global applications, it is necessary to develop a distributed database system. This situation can be called bottom-up building a distributed system. Although this method also needs to change and reconstruct the existing local database systems, compared with centralizing these databases to rebuild a centralized database, no matter from the economic or organizational point of view, distributed database is a better choice.

4. Gradually expand processing capacity and system scale

When a unit expands to add new departments (such as new branches in the banking system, new departments and workshops in the factory), the structure of the distributed database system of SQL Server database provides a better way to expand the processing capacity of the system: add a new node in the distributed database system. This is much more convenient, flexible and economical than expanding the scale of the system in a centralized system.

There are two common methods to expand the scale in a centralized system: one is to leave more leeway at the beginning of the design. This is easy to lead to waste, and because it is difficult to predict, the design results may not adapt to changes in the situation. Another way is to upgrade the system, which will affect the normal operation of existing applications.

And when the upgrade involves incompatible hardware or system software has been significantly modified and the corresponding modification of the developed application software, the upgrade is very expensive and often makes the upgrade method not feasible. Distributed database system can easily incorporate a new node into the system, without affecting the structure and normal operation of the existing system, and provides a better way to gradually expand the capacity of the system, sometimes even the only way.

After reading the above, do you have any further understanding of how to implement a distributed database system in SQL Server? If you want to know more knowledge or related content, please follow the industry information channel, thank you for your support.

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