How to store data with redis

Redis data storage mechanism

Redis is an in-memory database that stores data in the memory of a server. This allows Redis to achieve extremely high read and write performance. Redis supports a variety of data types, including:

• String : Used to store simple text data.
• Hash table : used to store key-value pairs, where keys are unique.
• List : Used to store a series of ordered elements.
• Collection : A collection that stores non-repeating elements.
• Ordered set : used to store elements, where each element has a relevant fraction.

Data storage process

When the client writes data to Redis, Redis performs the following steps:

1. Data parsing : Redis parses commands sent by the client and extracts operation types and data.
2. Data type selection : Redis selects the underlying data structure to use according to the operation type. For example, for a SET command, Redis will use the string data type.
3. Data storage : Redis stores data in the corresponding data structure in the server memory.
4. Persistence (optional) : To ensure that data is not lost, Redis can write data to persistent storage, such as RDB files or AOF files.

Data retrieval process

When the client reads data from Redis, Redis performs the following steps:

1. Data parsing : Redis parses commands sent by the client and extracts the operation type and key.
2. Data Lookup : Redis finds data associated with keys in memory.
3. Data Return : Redis returns the found data to the client.

Advantages

Redis's data storage mechanism has the following advantages:

• Extremely high performance : Redis can achieve very fast read and write speeds because data is stored in memory.
• Multiple Data Types : Redis supports multiple data types, allowing it to store various types of data.
• Persistence : Redis provides persistence options to ensure data is not lost.

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