How to save complicated data structure in redis?

@denis 

Saving a complicated data structure in Redis can be done by breaking down the data structure into simpler components that can be stored using Redis data types such as strings, lists, sets, hashes, or sorted sets. Here are some ways to save complicated data structures in Redis:

1. Serialize the data structure: One way to save a complicated data structure in Redis is to serialize it into a string using a common serialization format such as JSON or MessagePack. This serialized string can then be stored as a value in a Redis key.
2. Use Redis hashes: If the data structure can be represented as a map or dictionary, you can use Redis hashes to store the fields and values of the data structure. Each field-value pair in the hash corresponds to a key-value pair in the data structure.
3. Use Redis lists or sets: If the data structure is a collection of items that need to be stored in a specific order (list) or without duplicates (set), you can store them using Redis lists or sets data types.
4. Use Redis sorted sets: If the data structure requires items to be stored in a sorted order, you can use Redis sorted sets to store the items along with their respective scores.
5. Use Redis data structures as indexes: You can use Redis data types such as sets or sorted sets as indexes to quickly access and query specific parts of the complicated data structure.

Overall, it's important to understand the specific requirements and constraints of the complicated data structure in order to choose the most suitable Redis data type and storage strategy. Additionally, consider the trade-offs between efficiency, complexity, and ease of retrieval when designing how to save complicated data structures in Redis.