A Redis database, often simply referred to as a "Redis instance," is a data storage system built on the Redis server software. Redis is a popular in-memory data structure store that can be used as a database, cache, and message broker. In the context of Redis, a database represents a logical separation of data within a single Redis server instance.
Here are some key points about Redis databases:
1. Multiple Databases: A single Redis server instance can contain multiple databases, each identified by a numeric index (usually numbered from 0 to 15). By default, Redis starts with 16 databases, but this can be configured in the Redis configuration file.
2. Separate Namespace: Each database in Redis operates as a separate namespace, meaning keys in one database do not conflict with keys in another database. This allows for logical separation and organization of data within the same Redis instance.
3. Different Data Types: Redis supports various data types, including strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, and geospatial indexes. Each database can store data of different types based on application requirements.
4. Namespace Isolation: While keys within a database are isolated from keys in other databases, keys within the same database share a common namespace. Therefore, it's important to use descriptive and unique key names to avoid conflicts.
5. Database Indexing: Redis allows you to select a specific database using the `SELECT` command, which takes the database index as an argument. Once selected, all subsequent commands operate on the selected database until another database is explicitly selected.
6. Persistence and Replication: Each Redis database can have its own persistence settings (RDB or AOF) and replication configuration, allowing for flexibility in data durability and high availability setups.
In summary, a Redis database is a logical container within a Redis server instance that provides namespace isolation for storing and retrieving data of various types. It allows for efficient data organization and management within a single Redis server, catering to diverse application needs.
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