Database virtualization microkernel data source registration and encapsulation method

Abstract

The invention relates to the technical field of cloud databases, in particular to a database virtualization microkernel data source registration and encapsulation method which is used for realizing virtual library / table registration and encapsulation. When a host which a virtual library / table is stored in is started, virtual data information is reported to virtual data Federation corresponding to the virtual library / table according to a virtual storage pool id, and automatic registration is carried out; the encapsulation relation reflects the data abstraction mapping between a virtual database and a virtual library / table and a physical application server, a database server, a database, a data table or a file; the operation on the virtual database and the virtual table is finally mapped to the corresponding operation on one or more physical concept entities on a logic level. The database virtualization microkernel data source registration and encapsulation method is concise, and can be applied to acquisition of data information of the cloud databases.

Description

technical field [0001] The invention relates to the technical field of cloud databases, in particular to a database virtualization microkernel data source registration and encapsulation method. Background technique [0002] Data "open sharing" is one of the methods for big data applications to obtain data sources. Cloud database regards various relational databases as a series of simple two-dimensional tables, and operates based on a simplified version of SQL or access objects; thus solving the problem of data centralization and sharing. [0003] The existing software application architecture has many physical concepts, and every process of development, deployment, maintenance, and expansion needs to grasp the physical details. The common problems of these applications are: severe informatization islands, lack of data integration management, lack of In-depth understanding of database management and application value, neglect of long-term data quality management, lack of dat...

AI Technical Summary

Problems solved by technology

[0003] The existing software application architecture has many physical concepts, and every process of development, deployment, maintenance, and expansion needs to grasp the physical details. The common problems of these applications are: severe informatization islands, lack of data integration management, lack of In-depth understanding of database management and application value, ignoring long-term data quality management, lack of data quality monitoring and update mechanism, lack of understanding of data analysis and mining, and inability to obtain effective information and models from data.

Images