A 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. The virtual library / table registration and encapsulation of the present invention, when the host storing the virtual library / table starts, reports the virtual data information to its corresponding virtual data Federation according to the virtual storage pool id, and performs automatic registration; the encapsulation relationship reflects the virtual database and the virtual table Data abstract mapping between views and physical application servers, database servers, databases, data tables or files; operations on virtual databases and virtual tables at the logical level are finally mapped to operations on one or more corresponding physical conceptual entities. The invention constructs a concise database virtualization microkernel data source registration and encapsulation method; it can be applied to the acquisition of cloud database data information.

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...

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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.

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