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Redis Data Structure - A Comprehensive Look
2023-06-15 09:13:11 深夜i     --     --
Redis

Article

Data Structure, In-Memory Database

Redis is an in-memory data structure store, used as a database, cache, and message broker. It is an open-source, key-value data store. Redis not only supports strings as values, but also allows more complex data structures as values.

Here’s a comprehensive look at Redis data structures:

1. Strings:

Strings are the most basic data type in Redis. They are binary safe and can store any kind of data. Redis acts as a key-value store where a key is mapped to a value which can be a string. Redis supports appending to strings, incrementing/decrementing values and getting substrings based on the position and range.

Example: SET name “John”

2. Hashes:

Redis Hashes are maps between the string fields and string values. They are useful for storing objects and storing multiple fields and values in one key. Redis Hashes support all the operations that Strings support, also supports setting, getting, and deleting multiple field-value pairs in one command.

Example: HMSET user1 name "John" email "john@example.com"

3. Lists:

Redis Lists are linked lists of strings. Redis Lists are implemented using a linked list data structure, and therefore provide constant-time insertion or deletion of elements near both the head and tail of the list. Redis Lists also support slicing operations like getting the first N elements, getting the last N elements, and getting the element at a specified index.

Example: LPUSH task "Complete project" RPUSH task "Check email"

4. Sets:

Redis Sets are collections of non-repeating, unordered string elements. Redis Sets support set operations such as intersections and unions. Operations like adding and removing elements can be executed in constant time.

Example: SADD product "sofa" "chair" "lamp"

5. Sorted Sets:

Redis Sorted Sets are similar to Redis Sets, but each member has an associated score. The score is used to index the Sorted Set in a way that allows for easy retrieval of members in a specific order. Sorted Set operations like adding or removing elements, updating scores, and getting elements within a score range can be executed in log(N) time.

Example: ZADD highscore 20 "John" 25 "Mary"

In conclusion, Redis is a powerful in-memory data structure store with versatile data types. It can be used as a cache, message broker, or even a database. It provides a fast and scalable way of storing data, and it’s simple to use. The various Redis data structures and their functionality provide flexibility to developers and can be used to solve various problems.

  
  

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