Author: Zen and the Art of Computer Programming
1 Introduction
With the rise of Internet applications, the growth of data volume, and the popularity of cloud computing, enterprise IT departments are faced with the need to effectively deal with the storage, analysis, and processing of large-scale data. Distributed database system (DBMS), as a distributed computing architecture, plays an important role in improving data processing capabilities and elastic scaling. This article will introduce the distributed database design scheme based on MySQL, explain its advantages and limitations, and provide specific steps to build the scheme.
2. Distributed database system
2.1 Overview of distributed database systems
A distributed database system is a network environment in which multiple computers share data and resources by sharing their respective workloads, and allows rapid data replication, backup, and recovery to effectively manage and process large data sets. The distributed database system can effectively solve the performance bottleneck problem caused by the inability of a single-machine database to meet the requirements of data processing, storage, analysis and query.
2.2 Basic concepts and terminology
2.2.1 Data center network
Data center network (DCN) is composed of multiple switches, routers, controllers and other network equipment. It connects various power supply, water supply, gas supply and other infrastructure to provide users with high-speed and reliable network services. DCN uses multiplexing technology to transmit multiple network traffic at the same time, effectively expanding network capacity. Data center networks help businesses communicate, share information and transfer files.
2.2.2 Distributed database
A distributed database system refers to a whole set of database servers distributed in different locations. Each server has its own data and resources. The structure of the distributed database system is shown in Figure 2-1. Among them, the central node is at the edge of the network and is mainly responsible for data scheduling and control; clients and business applications access the database through the central node. Full-duplex network communication is used between central nodes to achieve data sharing and resource allocation.
2.2.3 Master-slave replication
Master-slave