What are the underlying data structures of redis’s five data types?

Redis provides five data types, each type corresponds to a specific underlying data structure: String: Simple dynamic string (SDS), optimized binary safe string storage. Hash: Hash table (Dict), fast key-value pair storage. List: Doubly linked list or compressed list (Zip List), supports sequential access and insertion/deletion operations. Set: Integer set (IntSet) or hash table (Dict), unordered set, supports fast query and difference set operation. Ordered collection: Skip List, ordered collection, supports fast insertion, deletion and range query.

Redis data type underlying data structure

Redis provides five basic data types, each type has Its specific underlying data structure to optimize performance and storage efficiency.

1. String

• Underlying data structure: Simple dynamic string(SDS)
• Features: Efficiently stores and processes binary-safe strings.
• Usage scenarios: storing user data, caching web page content, etc.

2. Hash

• Underlying data structure: Hash table(Dict)
• Features: Key-value pair storage structure, supports fast search and insertion.
• Usage scenarios: associated data storage, session management, etc.

3. List

• Underlying data structure: Doubly linked list (Linked List) or Compressed list(Zip List)
• Features: Supports sequential access and insertion/deletion operations.
• Usage scenarios: queue, message queue, etc.

4. Set

• Underlying data structure: Integer collection (IntSet) or Hash table(Dict)
• Features: Unordered collection, supports fast query and difference set operation.
• Usage scenarios: tag collection, deduplication, etc.

5. Ordered set

• Underlying data structure: Skip List（Skip List）
• Features: Ordered collection, supports fast insertion, deletion and range query.
• Usage scenarios: rankings, time series storage, etc.

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