Method for data sharing based on distributed virtualization database services

Abstract

The invention discloses a method for data sharing based on distributed virtualization database services. The method comprises the following steps: a step 1) of setting up each node database; a step 2) of setting up a virtualization database service environment and configuring virtualization database service parameters; a step 3) of starting the services; a step 4) of sending out an access instruction by a user, analyzing the user instruction, and outputting results. According to the method for data sharing based on the distributed virtualization database services, a distributed node access and storage mode is adopted, random extension of shared partial nodes is supported, each shared node can be maintained and managed by contributors, and one-time investment and the technical development cost and the like under a conventional mode can be greatly reduced. According to the method, databases between different industries and between different regions can be accessed into a virtualized shared database, so as to facilitate shared utilization better.

Description

technical field [0001] The invention relates to the field of data sharing, in particular to a data sharing method based on distributed virtualized database services. Background technique [0002] At present, the construction of data centers in various industries and fields has been in full swing for many years. These data are relatively independent in various departments and units, and it is difficult to share data with each other. With the advent of the era of mobile Internet and big data, in addition to cross-industry information sharing, the demand for cross-regional information sharing in the same industry is also becoming more and more urgent. In the traditional data sharing mode, data exchange is often realized through ETL tools, Socket communication, service interfaces, etc., so as to achieve the purpose of data sharing. But these technologies have objective disadvantages: [0003] 1. ETL tools are generally suitable for the exchange of non-real-time basic data and ...

AI Technical Summary

Problems solved by technology

[0003] 1. ETL tools are generally suitable for the exchange of non-real-time basic data and business data. They are extracted, cleaned, and integrated from the source business database to the destination database. They are suitable for batch data exchange, but the data needs to be stored on the ground to achieve it. The larger the sharing range , the higher the requirements for data storage, each shared object needs a copy, which is an extreme waste of resources;

[0004] 2. The Socket communication method is mainly aimed at the acquisition of real-time dynamic data. Real-time data exchange is carried out through Socket (TCP / UDP client / server, etc.) long connections, such as GPS positioning data, etc. This method is only applicable to real-time dynamic data. Shared access is not suitable for data resource sharing in general industries;

[0005] 3. The service interface method generally provides corresponding services by encapsulating the data through the Web Service interface. It provides a corresponding service interface for a specific business requirement. The cost of interface development and docking is high, and it is only suitable for data with a small amount of data. shared

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