search
HomeDatabaseRedisDifferences in redis data types

Differences in redis data types

Jun 18, 2019 am 09:46 AM
redis

This article mainly introduces the five data types of redis and their differences.

Differences in redis data types

String string: (Recommended learning: Redis video tutorial)

The string type is Redis The most basic data storage type in Redis is a sequence of bytes. 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. It is a standard key-value, generally used to store strings, integers and floating point numbers. The maximum data length that Value can hold is 512MB

Application scenario: A very common scenario is used to count the number of website visits, the number of people currently online, etc. incr command (operation)

List list:

Redis' list allows users to push or pop elements from both ends of the sequence. The list is composed of multiple string values. The ordered and repeatable sequence is a linked list structure, so the time complexity of adding elements to both ends of the list is 0(1), and the closer to the two ends of the list, the faster it is to obtain the elements. This means that even for a list with tens of millions of elements, getting the 10 records at the head or tail is extremely fast. The maximum number of elements that can be contained in a List is 4294967295.

Application scenarios: 1. Latest news rankings. 2. Message queue to complete message exchange between multiple programs. You can use the push operation to store the task in the list (producer), and then the thread uses the pop operation to take the task out for execution. (Consumer)

Hash hash:

Hash in Redis can be seen as a map container with String key and String value, and multiple keys can be The value is stored in a key. Each Hash can store 4294967295 key-value pairs.

Application scenarios: such as storing, reading, modifying user attributes (name, age, pwd, etc.)

Collection set:

Redis collection It is unordered and non-repeatable. Like a list, it is very efficient when performing insertion and deletion and determining whether an element exists. The biggest advantage of sets is that they can perform intersection, union, and difference operations. The maximum number of elements that a Set can contain is 4294967295.

Application scenarios: 1. Use intersection to find common friends. 2. Using uniqueness, all independent IPs that visit the website can be counted. 3. When friends recommend, the intersection is found based on the tag. If it is greater than a certain threshold (critical value), the recommendation can be made.

Ordered set sorted set (zset):

is very similar to set. They are both collections of strings and do not allow duplicate members to appear in a set. . The difference between them is that each member of the ordered set has a score associated with it, and Redis uses the score to sort the members of the set from small to large. Although the members of a sorted set must be unique, scores can be repeated.

Application scenario: It can be used for the score ranking list of a large-scale online game. Whenever the player's score changes, zadd can be executed to update the player score (score), and then the top ten points can be obtained through zrange. User Info.

For more Redis-related technical articles, please visit the Introduction to Using Redis Database Tutorial column to learn!

The above is the detailed content of Differences in redis data types. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Redis: Exploring Its Features and FunctionalityRedis: Exploring Its Features and FunctionalityApr 19, 2025 am 12:04 AM

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.

Is Redis a SQL or NoSQL Database? The Answer ExplainedIs Redis a SQL or NoSQL Database? The Answer ExplainedApr 18, 2025 am 12:11 AM

RedisisclassifiedasaNoSQLdatabasebecauseitusesakey-valuedatamodelinsteadofthetraditionalrelationaldatabasemodel.Itoffersspeedandflexibility,makingitidealforreal-timeapplicationsandcaching,butitmaynotbesuitableforscenariosrequiringstrictdataintegrityo

Redis: Improving Application Performance and ScalabilityRedis: Improving Application Performance and ScalabilityApr 17, 2025 am 12:16 AM

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: Exploring Its Data Model and StructureRedis: Exploring Its Data Model and StructureApr 16, 2025 am 12:09 AM

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: Classifying Its Database ApproachRedis: Classifying Its Database ApproachApr 15, 2025 am 12:06 AM

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.

Why Use Redis? Benefits and AdvantagesWhy Use Redis? Benefits and AdvantagesApr 14, 2025 am 12:07 AM

Redis is a powerful database solution because it provides fast performance, rich data structures, high availability and scalability, persistence capabilities, and a wide range of ecosystem support. 1) Extremely fast performance: Redis's data is stored in memory and has extremely fast read and write speeds, suitable for high concurrency and low latency applications. 2) Rich data structure: supports multiple data types, such as lists, collections, etc., which are suitable for a variety of scenarios. 3) High availability and scalability: supports master-slave replication and cluster mode to achieve high availability and horizontal scalability. 4) Persistence and data security: Data persistence is achieved through RDB and AOF to ensure data integrity and reliability. 5) Wide ecosystem and community support: with a huge ecosystem and active community,

Understanding NoSQL: Key Features of RedisUnderstanding NoSQL: Key Features of RedisApr 13, 2025 am 12:17 AM

Key features of Redis include speed, flexibility and rich data structure support. 1) Speed: Redis is an in-memory database, and read and write operations are almost instantaneous, suitable for cache and session management. 2) Flexibility: Supports multiple data structures, such as strings, lists, collections, etc., which are suitable for complex data processing. 3) Data structure support: provides strings, lists, collections, hash tables, etc., which are suitable for different business needs.

Redis: Identifying Its Primary FunctionRedis: Identifying Its Primary FunctionApr 12, 2025 am 12:01 AM

The core function of Redis is a high-performance in-memory data storage and processing system. 1) High-speed data access: Redis stores data in memory and provides microsecond-level read and write speed. 2) Rich data structure: supports strings, lists, collections, etc., and adapts to a variety of application scenarios. 3) Persistence: Persist data to disk through RDB and AOF. 4) Publish subscription: Can be used in message queues or real-time communication systems.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

mPDF

mPDF

mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

EditPlus Chinese cracked version

EditPlus Chinese cracked version

Small size, syntax highlighting, does not support code prompt function

MantisBT

MantisBT

Mantis is an easy-to-deploy web-based defect tracking tool designed to aid in product defect tracking. It requires PHP, MySQL and a web server. Check out our demo and hosting services.

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use