Equivalently deployed distributed database resource management and load adjustment method

Abstract

The invention discloses an equivalently deployed distributed database resource management and load adjustment method. The method involves a system resource distribution and utilization module used for managing and equivalently deploying a distributed database, a resource utilization and configuration module that configures standardly divided different resource group modules by resources of working mechanisms and enables users to inherit settings of resource groups that the users belong to by executing SQLs, a resource configuration pairing upgrading and downgrading module used for performing resource group upgrading adjustment according to load conditions of working machines, and a superuser utilization module that is not limited by resources allocated to the resource groups. According to the method, a system is simple, and the problems in unified resource management and load adjustment of the distributed database can be effectively solved, so that system resources can be ensured to be efficiently applied, loads can be adjusted, the machines subjected to load adjustment can be protected, and the machines can be fully utilized; and the method is high in stability of use, high in applicability and high in practicality.

Description

Technical field [0001] The invention belongs to the technical field of distributed data resource management, and specifically relates to a peer-to-peer distributed database resource management and load adjustment method. Background technique [0002] With the rapid development of today's cloud computing, big data and other data storage technologies, as well as the reliance on big data and the demand for large amounts of data storage and computing in all walks of life in today's society, the distributed database field has achieved unprecedented rapid development. . Today's database systems need to store and calculate more and more data, and the application scenarios are becoming more and more complex, and the requirements for the robustness and performance of the database are getting higher and higher, while the traditional centralized stand-alone database system It is no longer possible to meet such demands. At the same time, distributed databases based on distributed technolog...

AI Technical Summary

Problems solved by technology

[0006] Distributed databases also need an effective load adjustment method, because in the face of massive data storage and computing pressure, working machines are easily damaged, forming a shortcoming of the system

Some simple ways to ensure load balancing can be used, such as the RoundRobin method and random selection methods are effective means to ensure load balancing, but these methods have great defects in certain application scenarios, so the effect is not very good

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