Data storage and query method and system based on distributed architecture

Abstract

The present application discloses a data storage and query method and system based on a distributed architecture. The system adopts a distributed deployment architecture. By setting up a website server, a business server, a data access server and / or a data writing server, each of the above servers can be expanded horizontally, and distributed cache and open search can be used. The purpose of facilitating the expansion of the system is achieved, and the technical effect of improving the performance of the system is achieved. The distributed deployment architecture can enable the data architecture to support over 10 billion databases; the data architecture has strong scalability and is suitable for all industrial product fields; the distributed deployment architecture can adapt to multi-user high concurrent access.

Description

technical field [0001] The present application relates to the field of data processing, in particular, to a method and system for data storage and query based on a distributed architecture. Background technique [0002] With the development of business hours and customer volume, more and more companies have gradually increased their business volume and visits, and the load pressure on the server will also increase. The specific reasons are as follows: [0003] 1. The company has different branches or smaller scattered sites and the network connection to the company headquarters is usually low bandwidth, high lag or unreliable; [0004] 2. The company headquarters network cannot handle the service traffic at the central location; [0005] 3. Branch offices have their own servers, corporate networks, domain controllers, and system administrators, including a variable number of users; [0006] 4. Users require faster mailbox access speed, better user experience and usability;...

AI Technical Summary

Problems solved by technology

[0003] 1. The company has different branches or smaller scattered sites and the network connection to the company headquarters is usually low bandwidth, high lag or unreliable;

[0004] 2. The company headquarters network cannot handle the service traffic at the central location;

[0007] 5. All data media and business systems, such as mailboxes, texts, pictures, and videos, have a large number of users and many concurrent threads;

[0009] However, in related technologies, systems with high concurrent access by multiple users have poor tolerance

In addition, website servers, business servers, and data storage services have poor scalability, making it difficult to improve system performance

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