Strategy-based cloud database elastic scaling method

Abstract

The invention discloses a strategy-based cloud database elastic scaling method, which comprises the following steps of: setting a database upper limit value contained in a single cloud server, and setting a data table upper limit value contained in a database; Setting an elastic scaling strategy hit by each cloud server based on the feature data; Dividing the data into an expansion or shrinkage target database and a data table based on the elastic scaling strategy. According to business development requirements, the capacity expansion or reduction of the database is automatically and flexiblyadjusted and completed, the business application requirement can be well met, resources are well saved by reducing the capacity of the database in time, the business application service does not needto be stopped, the capacity expansion or reduction work is completed under the non-perceptual condition, and great convenience is brought to a user to use.

Description

technical field [0001] The invention relates to the technical field of database expansion and contraction, in particular to a policy-based cloud database elastic expansion and contraction method. Background technique [0002] In today's era, the Internet has penetrated into all aspects of social life, bringing great convenience to people's work, life and study. In Internet business operations, data traffic surges are often encountered during certain time periods. For example, during the Double Eleven Shopping Festival, the amount of business data usually shows explosive growth, and the demand for database capacity will increase accordingly. After the shopping festival, the volume of business data returns to normal, and the demand for database capacity will decrease accordingly. The existing database architecture usually increases or decreases the database capacity through manual operation. Manual operation intervention requires the formulation of a plan, which not only cons...

AI Technical Summary

Problems solved by technology

The existing database architecture usually increases or decreases the database capacity through manual operation. Manual operation intervention requires the formulation of a plan, which not only consumes a lot of human resource costs, but is also prone to unpredictable situations, and needs to suspend business application services, resulting in business failures. inconsistency, causing inconvenience to users