Unified storage method for key value model, document model and graph model data

Abstract

The invention relates to a unified storage method for key value model, document model and graph model data, which comprises the following steps of: establishing mapping from a key value model to a document model and mapping from a graph model to a document model by utilizing the description capability of the document model to the data. Unified storage of the key value model and the document modelcomprises the steps that Class is designed, and records of the document model are stored in a common table after the Class is instantiated; the unified storage method of the graph model and the document model comprises the steps that a Vector class and an Edge class are designed, records of the document model are stored in a vertex table obtained after instantiation of the Vector class, and records of the document model are stored in a side table obtained after instantiation of the Edge class. Unified storage of a key value model, a graph model and a document model includes: storing key valuemodels, graph models and document models in a unified manner; wherein the Vector subclass and the Edge subclass are inheritance relationships with the parent Class; wherein the Class supports a key value model and a document model, the Vector class and the Edge class support vertexes and edges, and the vertexes and the edges instantiated by the Vector class and the Edge class can be used for storing data of the key value model, the document model and the graph model at the same time.

Description

technical field [0001] The invention relates to big data technology, in particular to a unified storage method for key-value model, document model and graph model data. Background technique [0002] With the continuous development of big data applications, databases have evolved from traditional relational databases (RDMS) to non-relational databases (NoSQL databases). NoSQL databases can be divided into various types according to different data models, including column (Column) database, key-value (Key-Value) database, document (Document) database and graph (Graph) database, etc. Different data models adopt different storage methods, and are suitable for different application scenarios. For example, a relational model is a data model that expresses entities and relationships between entities in the form of a fixed two-dimensional table, and all information is expressed as data values ​​in the relationship. Relational models generally use row-based storage. Relational dat...

AI Technical Summary

Problems solved by technology

The data of each model is stored in a physically independent database system. When it comes to big data applications involving multiple models, there are high cost of consistency management, low efficiency of data query and access, high maintenance cost of multiple databases, and complicated secondary development. question

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