Method for achieving data synchronization through timing task based on cloud computing

Abstract

The invention provides a method for achieving data synchronization through a timing task based on cloud computing. The method includes the specific implementation steps that firstly, a class is defined, the function of extracting required data is achieved, a sql statement is achieved, and a system automatically generates an xml message; the class is added to the timing task, the timing task is added, the name of the task, the name of the class, execution time, execution strategies and validity duration are added, and the timing task automatically synchronizes data according to system settings and time stamps or synchronization marks; eventually, the timing task executes data synchronization operation according to the execution strategies and the execution time, and the timing task is synchronized through a mechanism of a database lock; the timing task is destroyed after being executed. Compared with the prior art, the method for achieving data synchronization through the timing task based on cloud computing has the advantages that calling of concurrency control tasks under the cloud computing environment is achieved in a database lock mode, and the method is high in practicality, wide in application range and easy to popularize.

Description

technical field [0001] The invention relates to the technical field of cloud computing, and specifically relates to a method for accurately grasping blood information, facilitating resource retrieval, and realizing data synchronization based on cloud computing timing tasks. Background technique [0002] The cloud computing business server is constantly integrating services, and various systems are integrated in the cloud computing server, and the data of each system is isolated; the usual method is to realize data synchronization by using database materialized view, goldengate and other database technologies, and using this This method has several disadvantages. First, data synchronization among various modules within the system is okay. If it is data synchronization between systems, it is generally impossible to achieve. Second, the synchronized data is not accurate enough, and there may be some junk data. The third is that each database is too correlated. If the system ne...

AI Technical Summary

Problems solved by technology

[0002] The cloud computing business server is constantly integrating services, and various systems are integrated in the cloud computing server, and the data of each system is isolated; the usual method is to realize data synchronization by using database materialized view, goldengate and other database technologies, and using this This method has several drawbacks. First, the data synchronization between the various modules in the system is okay. If it is data synchronization between systems, it is generally impossible to achieve.

Second, the synchronized data is not accurate enough, and there may be some junk data

The third is that the correlation of each database is too strong. If the system needs to be updated or the business changes, it will affect the data synchronization work

Images