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What does redis mean

Apr 07, 2024 am 09:54 AM
data access key value pair

Redis (remote dictionary server) is an in-memory key-value storage database with the following characteristics: in-memory storage and fast speed. Key-value pair storage, rich data types. Single-threaded processing, high performance and low latency. Support data persistence to avoid data loss. Application scenarios include caching, session storage, queues, rankings, and current limiting.

What does redis mean

The meaning of redis

The full name of redis is Remote Dictionary Server, and the Chinese translation is Remote Dictionary Server.

What is redis

Redis is a memory-based open source key-value storage database that uses key-value pairs to store data. In simple terms, it is a software that works as an in-memory database that can be used to store and quickly retrieve data, thus improving the performance of applications.

Characteristics of redis

  • Memory storage: redis stores data in memory instead of on the hard disk like a traditional database superior. This makes redis access very fast.
  • Key-value pair storage: Redis uses key-value pairs to store data. Keys are unique identifiers, while values ​​can be data types such as strings, hashes, sets, or lists.
  • Single thread: Redis uses a single thread to process all commands, which ensures high performance and low latency.
  • Data persistence: Although redis is mainly used for memory storage, it also supports data persistence function, allowing data to be stored on the hard disk to avoid loss.

Application scenarios of redis

Redis is widely used in various scenarios, including:

  • Cache: Store frequently accessed data to speed up data access.
  • Session storage: Used to store user session information, such as shopping cart contents or user preferences.
  • Queue: Used to store and process message queues to achieve asynchronous communication.
  • Leaderboard: Used to track and store leaderboard data in real time.
  • Current limiting: Used to limit client access to resources to prevent overload.

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