巢湖学院学报 ›› 2022, Vol. 24 ›› Issue (3): 80-87+96.doi: 10.12152/j.issn.1672-2868.2022.03.012

• 信息科学 • 上一篇    下一篇

大数据时代Redis缓存的性能分析与优化

张蒙蒙,曹成茂:安徽农业大学 工学院   

  1. 安徽农业大学 工学院,安徽 合肥 230036
  • 收稿日期:2021-11-23 出版日期:2022-05-25 发布日期:2022-09-07
  • 作者简介:张蒙蒙(1990—),男,安徽合肥人,安徽农业大学工学院硕士研究生,主要从事计算机软件尧农业物联网研究。

Performance Analysis and Optimization of Redis Cache in the Era of Big Data

ZHANG Meng-meng,CAO Cheng-mao:School of Engineering, Anhui Agricultural University   

  1. School of Engineering, Anhui Agricultural University, Hefei Anhui 230036
  • Received:2021-11-23 Online:2022-05-25 Published:2022-09-07

摘要: 随着云计算、物联网及大数据技术的发展,现代化的Web系统因业务数据量的庞大和高并发而在系 统中引入了缓存技术,减少了对关系型数据库的直接访问所带来的服务器端的负载压力,提高数据库服务器 的响应效率,降低浏览器的延迟。Redis因其高性能分布式的内存缓存技术优势而被广泛的使用在现代Web系统中。本研究通过实验数据对Redis高性能原因进行分析,针对Redis使用中的一些方式,从不同的角度对 Redis性能优化提出相应策略,以此更好的提升Redis的用户体验感。

关键词: 大数据, Web, Redis, 缓存技术, 服务器

Abstract: With the development of cloud computing, Internet of things and big data technology, the cache technology has been introduced into the modern Web system because of the huge amount of data and high concurrency, which reduces the load pressure on the server end caused by the direct access to the relational database, improves the response efficiency of the database server and reduces the delay of the browser. Redis is widely used in modern Web systems because of its high-performance distributed memory cache technology. This paper will analyze the reasons for the high performance of Redis through the experimental data, and put forward corresponding strategies for Redis performance optimization from different angles based on experimental data, so as to better improve Redis user experience.

Key words: big data, Web, Redis, cache technology, server

中图分类号: 

  • TP311