Redis: Non-relational database
Redis is a non-relational database, also known as NoSQL database. Unlike traditional relational databases such as MySQL and PostgreSQL, Redis does not store data in relational tables, but uses a mechanism called key-value storage.
Key-value storage
Key-value storage is a data structure that maps unique keys to corresponding values. Redis uses key-value pairs to store and retrieve data. Keys can be strings, numbers, or other data types, while values can be strings, hashes, lists, sets, and sorted sets.
Characteristics of non-relational databases
Non-relational databases have the following characteristics:
- No schema: Redis does not require pre-defined data structures, and data can be flexibly stored and retrieved.
- Key-value storage: Data is stored using key-value pairs, and accessing data is very fast.
- High concurrency: Redis can handle a large number of concurrent requests because it uses a single-threaded architecture to process data.
- Persistence: Redis provides persistence function to store data on disk to prevent data loss.
Usage scenarios of Redis
Redis is suitable for the following usage scenarios:
- Cache: Redis Frequently accessed data can be cached, thereby reducing pressure on the database.
- Session management: Redis can store and manage user session information.
- Queue: Redis can be used as a queue to process messages and tasks.
- Distributed lock: Redis can implement a distributed lock mechanism to prevent data competition during concurrency.
In short, Redis is a non-relational database that uses a key-value storage mechanism to store and retrieve data. Features include schema-less, key-value storage, high concurrency, and persistence. Redis is suitable for a variety of use cases, including caching, session management, queues, and distributed locks.
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