Redis is a memory-resident key-value database with the following characteristics: memory-resident, high-speed reading and writing; stores key-value pairs with unique keys, corresponding to any type of data; provides a variety of data structures, Meet different needs; high availability, supports replication and sentinel mode; distributed deployment, processing big data and high concurrency.
#Redis is an open source in-memory database that stores data in the form of key-value pairs. This means that each value is associated with a unique key.
Features:
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Memory Residency: Unlike traditional databases, Redis stores all data in memory, which makes it Has extremely high read and write speeds.
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Key-value pairs: Redis stores data in key-value pair format. Each key is unique and can be mapped to any type of data.
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Data structures: Redis supports a variety of data structures, including strings, lists, hashes, and sets.
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High availability: Redis can achieve high availability through replication and sentinel mode to ensure that data is still available in the event of server failure.
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Distributed: Redis can be easily distributed across multiple servers to handle large amounts of data and high concurrent requests.
Usage:
The high performance and flexibility of Redis make it suitable for a variety of application scenarios, including:
- Cache: Redis can be used as a cache for databases or other slow storage to improve read performance.
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Message queue: The list data structure of Redis can implement message queue for asynchronous communication.
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Session Management: Redis can store session data to keep users logged in while they visit a website or application.
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Leaderboards: Redis can easily implement leaderboards in a collection data structure to track a user's score or ranking.
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Rate Limiting: Redis can implement rate limiting by reducing the frequency of requests for a given key, thereby preventing abuse.
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