What are the basic data types of redis

The basic data types of redis are: 1. String; 2. List; 3. Set; 4. Hash; 5. Sorted Set. Detailed introduction: 1. String, which is the most basic data type of Redis, can store any type of data, including strings, numbers and binary data, etc.; 2. List, an ordered list of strings, can be stored in the header Add elements to the head or tail; 3. Set is a set of unordered and unique string collections, which can be used to perform set operations such as union, intersection, difference, etc.

The operating system for this tutorial: Windows 10 system, DELL G3 computer.

Redis (Remote Dictionary Server) is an open source log-type Key-Value database written in ANSI C language, supports network, can be memory-based and persistent, and provides APIs in multiple languages. It is often called a data structure server because the value can be of type string, hash, list, set, ordered set (zset), etc. Redis is an in-memory data structure storage system that can be used as a database, cache, and message broker.

1. Redis supports five main data types:

1. String (string): This is the most basic data type of Redis and can store any type. Data, including strings, numbers, binary data, etc.

2. List: It is an ordered list of strings, and elements can be added to the head or tail. Data structures such as queues and stacks can be implemented through List.

3. Set (set): It is a set of unordered and unique string sets, which can be used for set operations such as union, intersection, and difference. You can use Set to deduplicate data or determine whether an element exists in the set.

4. Hash: It is a mapping table between strings and string values, similar to an associative array or dictionary. Hash can be used to store and access object properties or configuration information.

5. Sorted Set: It is an ordered set of strings. Each string is associated with a score and can be sorted according to the score. You can use Sorted Set to implement functions such as rankings.

Each data type has its unique characteristics and uses, and can be selected and used according to specific needs.

2. The advantages of Redis include:

1. Fast speed: Redis operations are basically completed in memory, so the speed is very fast.

2. Support multiple data types: Redis supports multiple data types, including strings, hashes, lists, sets, ordered sets, etc., which makes it very flexible and can be used for many different purposes. Application scenarios.

3. Persistence: Redis supports data persistence and can save data to disk to ensure data reliability.

4. Master-slave replication and transaction support: Redis supports master-slave replication and transactions, which can improve the availability and maintainability of the system.

3. The shortcomings of Redis include:

1. Data is not permanently saved: Because Redis is based on memory, its data is not permanently saved. Data may be lost if the system restarts or fails.

2. Data synchronization problem: In the master-slave replication mode, if the master node fails, you need to manually switch to the slave node. Data synchronization problems may occur in this process.

3. Cluster deployment is complex: Redis cluster deployment is relatively complex and requires manual configuration and management of multiple nodes, which is difficult for non-professionals.

4. Client dependency: The Redis client needs to communicate with the Redis server. If the client fails or there is a network problem, it may cause data access problems.

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