Redis is a new, non-relational, does not support SQL syntax, does not support things, || Open source, written in C language, supports the network, is based on memory, can be persisted, and is stored in the form of Key-Value Data, NoSql database.
Features and advantages
k, v key value storage and data structure storage (such as list, dictionary)
All data (including data storage) operations are completed in memory (recommended learning: Redis video tutorial)
Single-threaded service (this means there will be more blocking situation), using the epoll model for request response, compared with nginx
supports master-slave replication mode, and also provides high-availability master-slave replication mode (Sentinel)
Decentralized distributed cluster
Rich programming interface support, such as Python, Golang, Java, php, Ruby, Lua, Node.js
Rich functions, in addition to supporting a variety of data structures, it also supports transactions and publishing /Subscription, message queue and other functions
Support data persistence (AOF, RDB)
Data types (five types):
String string
The string type is the most basic data storage type in Redis. It is binary safe in Redis, which means that this type can accept data in any format, such as JPEG image data or Json object description information, etc. In Redis, the maximum data length that the string type Value can hold is 512M.
Hash hash
It can be understood that there is first a main key. Under this main key, the data is stored in the form of key-value, and the type of the value is also String
List list
The element type of the list is string, sorted according to the insertion order, and the elements have indexes
set set
The elements are of type string. The elements are unique, not repeated, and have no modification operations.
Ordered set zset
Ordered set, the elements are of type string. The elements are unique. Each element is associated with a double (double precision) type score, which represents the weight. The elements are sorted from left to right by the weight.
For more Redis-related technical articles, please visit the Introduction to Using Redis Database Tutorial column to learn!
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Redis plays a key role in data storage and management, and has become the core of modern applications through its multiple data structures and persistence mechanisms. 1) Redis supports data structures such as strings, lists, collections, ordered collections and hash tables, and is suitable for cache and complex business logic. 2) Through two persistence methods, RDB and AOF, Redis ensures reliable storage and rapid recovery of data.

Redis is a NoSQL database suitable for efficient storage and access of large-scale data. 1.Redis is an open source memory data structure storage system that supports multiple data structures. 2. It provides extremely fast read and write speeds, suitable for caching, session management, etc. 3.Redis supports persistence and ensures data security through RDB and AOF. 4. Usage examples include basic key-value pair operations and advanced collection deduplication functions. 5. Common errors include connection problems, data type mismatch and memory overflow, so you need to pay attention to debugging. 6. Performance optimization suggestions include selecting the appropriate data structure and setting up memory elimination strategies.

The applications of Redis in the real world include: 1. As a cache system, accelerate database query, 2. To store the session data of web applications, 3. To implement real-time rankings, 4. To simplify message delivery as a message queue. Redis's versatility and high performance make it shine in these scenarios.

Redis stands out because of its high speed, versatility and rich data structure. 1) Redis supports data structures such as strings, lists, collections, hashs and ordered collections. 2) It stores data through memory and supports RDB and AOF persistence. 3) Starting from Redis 6.0, multi-threaded I/O operations have been introduced, which has improved performance in high concurrency scenarios.

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis improves application performance and scalability by caching data, implementing distributed locking and data persistence. 1) Cache data: Use Redis to cache frequently accessed data to improve data access speed. 2) Distributed lock: Use Redis to implement distributed locks to ensure the security of operation in a distributed environment. 3) Data persistence: Ensure data security through RDB and AOF mechanisms to prevent data loss.

Redis's data model and structure include five main types: 1. String: used to store text or binary data, and supports atomic operations. 2. List: Ordered elements collection, suitable for queues and stacks. 3. Set: Unordered unique elements set, supporting set operation. 4. Ordered Set (SortedSet): A unique set of elements with scores, suitable for rankings. 5. Hash table (Hash): a collection of key-value pairs, suitable for storing objects.

Redis's database methods include in-memory databases and key-value storage. 1) Redis stores data in memory, and reads and writes fast. 2) It uses key-value pairs to store data, supports complex data structures such as lists, collections, hash tables and ordered collections, suitable for caches and NoSQL databases.


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