Redis implements current limiting and uses the token bucket algorithm and sliding window algorithm. The token bucket algorithm limits incoming requests, and the sliding window algorithm records the number of requests within a certain period of time and determines whether it exceeds the threshold. Redis uses the incr/decr command to operate the token bucket, and uses the time and incrby commands to record the number of sliding window requests. Current limiting configuration is implemented through the set and config set commands. The sample code sets the token bucket capacity and rate, sliding window size and threshold, and checks whether the request is current limited.
Redis current limiting implementation
Redis uses the token bucket algorithm and Sliding window algorithm to achieve current limiting.
Token Bucket Algorithm
The Token Bucket Algorithm treats the requests flowing into the system as water flow, and the Token Bucket is a bucket that can hold a fixed number of tokens. container. The system adds tokens to the token bucket at a constant rate. When a request arrives, the system takes a token from the token bucket. If there are not enough tokens, the request is rejected.
Sliding window algorithm
The sliding window algorithm divides time into fixed-size intervals (windows) and records the number of requests within each window. When a new request arrives, the system checks whether the number of requests within the current window exceeds the threshold. If so, the request will be rejected.
Implementation in Redis
Redis uses a combination of token bucket algorithm and sliding window algorithm to achieve current limiting.
Token Bucket
The token bucket in Redis is operated using the incr
/decr
command. The incr
command adds tokens to the token bucket, and the decr
command removes tokens from the token bucket.
Sliding Window
Redis uses the time
command to get the current time, and the incrby
command to record each window number of requests within.
Current limiting configuration
Redis uses the set
and config set
commands to configure the current limiting parameters.
-
set
command is used to set the capacity and generation rate of the token bucket. -
config set
command is used to set the size and threshold of the sliding window.
Usage Example
<code># 设置令牌桶,容量为100,生成速率为每秒10个令牌 SET my_token_bucket 100 CONFIG SET my_token_bucket_refill_rate 10 # 设置滑动窗口,大小为10秒,阈值为每秒100个请求 CONFIG SET my_sliding_window_size 10 CONFIG SET my_sliding_window_threshold 100 # 检查请求是否被限流 IF INCR my_sliding_window_counter > my_sliding_window_threshold THEN # 请求被限流,拒绝 DECR my_sliding_window_counter RETURN -1 END IF # 请求未被限流,记录请求并执行操作 INCR my_sliding_window_counter # ... 执行操作 ...</code>
The above is the detailed content of How to implement current limiting in redis. For more information, please follow other related articles on the PHP Chinese website!

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.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

SecLists
SecLists is the ultimate security tester's companion. It is a collection of various types of lists that are frequently used during security assessments, all in one place. SecLists helps make security testing more efficient and productive by conveniently providing all the lists a security tester might need. List types include usernames, passwords, URLs, fuzzing payloads, sensitive data patterns, web shells, and more. The tester can simply pull this repository onto a new test machine and he will have access to every type of list he needs.

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

SAP NetWeaver Server Adapter for Eclipse
Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Safe Exam Browser
Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.