Distributed database data access method based on SpringBoot

Abstract

A distributed database data access method based on SpringBoot combines SpringBoot lightweight framework characteristics to solve the problem of distributed database data query access, and utilizes multi-thread asynchronous and multi-task concurrent execution characteristics to solve the problem of low-efficiency data access of statistical data of a distributed database due to scattered regions, complex extraction and network delay is solved, and key data pre-extracted by the distributed database is stored in a standardized manner by utilizing the characteristics of large capacity, fixed field,data consistency and high integrity of a traditional relational database. The requirements for high performance, low cost and low delay of Web platform data access in the Internet era are met, and the client access speed is greatly increased.

Description

technical field [0001] The invention relates to the field of databases, in particular to a method for accessing distributed database data based on SpringBoot. Background technique [0002] With the maturity of traditional database technology, the rapid development of computer network technology and the expansion of application range, the research and development of distributed database system has attracted people's attention. Distributed database is the product of the combination of database technology and network technology, and has formed a branch in the field of database. Since distributed database data is distributed on different machines, each interaction needs to be run across machines, resulting in the complexity of distributed database data access. In the case of cross-computer rooms and cross-IDCs, network IO has become a system bottleneck that cannot be ignored. Under this current situation, by increasing the network bandwidth, the ability of the channel to transm...

AI Technical Summary

Problems solved by technology

Since the distributed database data is distributed on different machines, each interaction needs to be run across machines, resulting in the complexity of distributed database data access. For cross-computer rooms and cross-IDC situations, network IO has become a system bottleneck that cannot be ignored

Under this current situation, by increasing the network bandwidth, the ability of the channel to transmit information can be improved, but it cannot fundamentally solve the problem of reducing the overall system performance caused by network delay, but will greatly increase the cost of data access

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