Redis Introduction

Database Introduction: Redis is an open-source memory data storage system widely used in high-performance data storage and caching. Redis supports a variety of data structures, including string, Hash table, list, set, sorted set, etc., and provides a wealth of operation commands. Date of establishment, founder or company: Redis was developed by Salvatore Sanfilippo and was first released in 2009. It joined VMware in 2010 and was later co founded by Salvatore Sanfilippo and VMware in 2013. Applicable scenario: 1. Cache: Redis has fast read and write capabilities and high concurrency processing capabilities, making it very suitable for use as a cache server and can be used to reduce database load. 2. Message queue: Due to Redis' publish subscribe mechanism and efficient message processing ability, it can be used as a message middleware in message queues. 3. Real time ranking and counters: Redis' ordered collection and counter capabilities can be used for real-time ranking and counting scenarios, such as popular articles and product rankings on websites. 4. Publish subscribe system: Redis' publish subscribe mechanism can easily achieve real-time message publishing and subscription functions, and can be used to build real-time push systems. Advantages: 1. High performance: Redis stores data in memory, with very fast read and write speeds and high concurrency processing capabilities. 2. Rich data models: Redis supports multiple data structures and can adapt to different data storage needs. 3. Data Persistence Support: Redis supports persisting data to disk to ensure data security. 4. Support for multiple data operation commands: Redis provides rich operation commands to facilitate data processing. Disadvantages: 1. Limited scalability: Due to Redis' data being stored in memory, expanding storage capacity requires additional hardware costs. 2. Poor database disaster tolerance: Redis' data persistence mechanism relies heavily on the frequency of data updates, and if there is an outage, some data may be lost. Technical principles: Redis processes network requests in a single threaded manner and achieves high concurrency processing through the use of multiplexing technology. The data is stored in memory and can be saved to disk through a persistence mechanism. At the same time, Redis supports master-slave replication, which can achieve high availability and read-write separation of data. Performance analysis: Redis has extremely high read and write performance. Due to the data being stored in memory and using a single thread to process network requests, it can achieve up to hundreds of thousands of read and write operations per second. Meanwhile, Redis supports sharded storage of data, which can further improve read and write capabilities. Official website: https://redis.io/ Summary: Redis is a fast, flexible, and reliable database system that supports multiple data structures and has high performance and rich operating commands. Suitable for various scenarios such as caching, message queuing, real-time ranking, and counters. Despite some limitations in scalability and disaster tolerance, Redis is still widely used in various high-performance data storage and caching requirements.