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Method for supporting uniform SQL (Structured Query Language) query of embedded document

A document and nesting technology, applied in the field of adaptive storage and unified query, can solve the problems of difficult database system, integration, complex distributed database structure, etc., and achieve the effect of improving usability

Active Publication Date: 2017-02-01
DONGHUA UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

The structure of the traditional distributed database is complicated, the distributed management is integrated in the database itself, it is difficult to integrate the existing database system, and the distributed database middleware provides a good way to solve the above problems with its flexibility and scalability

Method used

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  • Method for supporting uniform SQL (Structured Query Language) query of embedded document
  • Method for supporting uniform SQL (Structured Query Language) query of embedded document

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Embodiment Construction

[0040] In order to make the present invention more comprehensible, preferred embodiments are described in detail as follows.

[0041]The invention provides a method for supporting uniform SQL query for nested documents, and the invention can address the situation that the nested documents cannot be correctly SQL-queried when multiple databases coexist under distributed middleware. By rewriting the original SQL parsing and SQL push modules of the middleware, and adding the SQL interception module, the purpose of using SQL to perform unified query on nested documents is achieved, which improves the flexibility of the distributed database middleware and provides common users with It provides a good platform for manipulating non-relational data in a relational manner. The specific operation steps are:

[0042] Step 1. Build the database environment (only MongoDB is considered here) and the distributed middleware Mycat environment, and add the underlying database nodes to the midd...

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Abstract

The invention provides a method for supporting uniform SQL (Structured Query Language) query of an embedded document. The method is characterized in that an upper-layer interface continues to use an SQL query language which is familiar to a user, and query of a non-structured embedded document is realized functionally. By adopting the method, unified SQL operation can be performed on relational data and an embedded document in NoSQL database MongDB through distributed database middleware specific to the characteristics of big-data multi-source heterogeneity, data in a bottom-layer database are acquired, and operation is correct; meanwhile, no matter data in the bottom-layer database exist in which form, the data can be operated in a relational way at a front end, and a result can be presented to a user in a relational form, so that the usability of the middleware is enhanced.

Description

technical field [0001] The invention relates to a method for realizing adaptive storage and unified query of nested documents through distributed middleware. Background technique [0002] With the advent of the era of big data, along with the rapid growth of data scale, data management has become a trend towards distributed development. Traditional distributed databases are complex in structure, and distributed management is integrated in the database itself, making it difficult to integrate existing database systems. Distributed database middleware provides a good way to solve the above problems with its flexibility and scalability. The distributed database middleware builds a bridge between the application and the underlying database. The query generated by the upper-layer application is parsed into an independent query plan by the database middleware and sent to each data node. Each data node returns the query result, and then the database The middleware integrates the r...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/24522G06F16/258G06F16/284
Inventor 薛皓黄晓虎王杰王梅
Owner DONGHUA UNIV
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