Data Structures in Redis
Redis supports a wide range of data structures, making it a versatile data store. These data structures include:
- Strings: Basic key-value storage for text or binary data.
- Lists: Ordered collections of strings, allowing for operations like push, pop, and range retrieval.
- Sets: Unordered collections of unique strings with set operations like union, intersection, and difference.
- Sorted Sets: Sets with associated scores, used for ranked data.
- Hashes: Key-value pairs within a key, suitable for storing structured data.
- Bitmaps: Efficiently store and manipulate binary data.
Note: Each data structure has specific use cases, and Redis provides various commands for manipulating and querying these structures.
How does Redis store data?
Redis is an in-memory data store. It stores data primarily in RAM, allowing extremely fast read and write operations. The data is organized using key-value pairs, where keys are unique identifiers, and values can be of different types, including strings, lists, sets, sorted sets, hashes, bitmaps, and more. Data in Redis is accessed by keys, making it a highly efficient and simple data store.
Important Topics for How Redis Stores data
- Data Structures in Redis
- Persistence Options in Redis
- Partitioning in Redis
- Virtual Memory in Redis
- Data Eviction
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