


Asynchronous coroutine development skills: realizing efficient SMS verification code sending
In the era of mobile Internet, SMS verification codes have become a necessary step for user registration, login, and password retrieval. However, sending SMS verification codes has always been a major difficulty in development, especially in high-concurrency scenarios, which often leads to a decrease in system performance. In order to solve this problem, this article introduces asynchronous coroutine development techniques and provides specific code examples to achieve efficient SMS verification code sending.
Understanding of asynchronous coroutines
Asynchronous coroutines are a kind of concurrent programming idea. In the traditional linear programming mode, the program runs in a certain order, that is, the program needs to wait The next step can only be performed after the previous step is completed. The idea of asynchronous coroutines is to divide the entire program into multiple independent task flows. These task flows can be executed concurrently. The progress of one task flow will not affect the execution progress of other task flows.
Advantages of asynchronous coroutines
Compared with traditional linear programming models, asynchronous coroutines have the following advantages:
- High concurrency: all task flows can Concurrent execution can make full use of system resources and improve system processing capabilities and throughput.
- High efficiency: In asynchronous coroutines, the execution of one task flow does not need to wait for the completion of other task flows, thereby reducing waiting time and improving execution efficiency.
- Low overhead: Asynchronous coroutines do not need to create threads to handle concurrent tasks, so they have less overhead than traditional threads and have higher system resource utilization.
Practical Case: Implementing Efficient SMS Verification Code Sending
In mobile Internet application development, SMS verification codes are often used to verify the user's mobile phone number. However, since sending SMS verification codes is a time-consuming operation, if the traditional linear programming model is used, it will easily lead to a decrease in system performance. Therefore, we can use the idea of asynchronous coroutines to decompose the sending process of SMS verification codes into multiple task flows to improve the processing capacity and throughput of the system.
To use Python language to implement an efficient SMS verification code sending service, you first need to install the aiohttp library. By using the aiohttp library, we can easily create asynchronous coroutines and implement concurrent sending of SMS verification codes.
Code example:
import asyncio import aiohttp async def send_message(phone_number: str, code: str) -> str: api_key = "" # 填写短信API的Key url = "" # 填写短信发送接口URL data = { "apikey": api_key, "mobile": phone_number, "text": f"【应用名称】您的验证码是{code}。如非本人操作,请勿泄露。" } async with aiohttp.ClientSession() as session: async with session.post(url, data=data) as resp: result = await resp.json() return result["code"] async def send_verification_code(phone_number: str) -> str: code = generate_verification_code() # 生成短信验证码 await asyncio.sleep(5) # 模拟短信发送需要5秒钟 result = await send_message(phone_number, code) # 发送短信验证码 return result async def main(): tasks = [send_verification_code("13000000000") for _ in range(10)] # 并发发送10条短信验证码 results = await asyncio.gather(*tasks) print(results) if __name__ == "__main__": asyncio.run(main())
The above code implements an asynchronous coroutine SMS verification code sending process. The specific implementation steps are as follows:
- Create using the aiohttp library An asynchronous coroutine function send_message(), used to send SMS verification codes.
- In the asynchronous coroutine function send_verification_code(), generate the SMS verification code and use asyncio.sleep() to simulate the time required to send the SMS.
- In the asynchronous coroutine function send_verification_code(), call the send_message() function and send the SMS verification code.
- Use asyncio.gather() to execute the send_verification_code() function concurrently and print the execution results.
Through the above code implementation, we can find that even if 10 SMS verification codes are sent at the same time, the execution speed of the program will not be affected, and the system resources can be fully utilized to achieve efficient SMS verification. Code is sent.
Conclusion
This article introduces the development skills of asynchronous coroutines and provides specific code examples to achieve efficient SMS verification code sending. The idea of asynchronous coroutines can effectively improve the processing power and throughput of the system, especially in high-concurrency scenarios, it can show its advantages. Therefore, in mobile Internet application development, we can use the idea of asynchronous coroutines to achieve efficient business processing.
The above is the detailed content of Asynchronous coroutine development skills: realizing efficient SMS verification code sending. For more information, please follow other related articles on the PHP Chinese website!

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

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics











There is a parent-child relationship between functions and goroutines in Go. The parent goroutine creates the child goroutine, and the child goroutine can access the variables of the parent goroutine but not vice versa. Create a child goroutine using the go keyword, and the child goroutine is executed through an anonymous function or a named function. A parent goroutine can wait for child goroutines to complete via sync.WaitGroup to ensure that the program does not exit before all child goroutines have completed.

Concurrency and coroutines are used in GoAPI design for: High-performance processing: Processing multiple requests simultaneously to improve performance. Asynchronous processing: Use coroutines to process tasks (such as sending emails) asynchronously, releasing the main thread. Stream processing: Use coroutines to efficiently process data streams (such as database reads).

Coroutine is an abstract concept for executing tasks concurrently, and goroutine is a lightweight thread function in the Go language that implements the concept of coroutine. The two are closely related, but goroutine resource consumption is lower and managed by the Go scheduler. Goroutine is widely used in actual combat, such as concurrently processing web requests and improving program performance.

Controlling the life cycle of a Go coroutine can be done in the following ways: Create a coroutine: Use the go keyword to start a new task. Terminate coroutines: wait for all coroutines to complete, use sync.WaitGroup. Use channel closing signals. Use context context.Context.

1. Why use asynchronous programming? Traditional programming uses blocking I/O, which means that the program waits for an operation to complete before continuing. This may work well for a single task, but may cause the program to slow down when processing a large number of tasks. Asynchronous programming breaks the limitations of traditional blocking I/O and uses non-blocking I/O, which means that the program can distribute tasks to different threads or event loops for execution without waiting for the task to complete. This allows the program to handle multiple tasks simultaneously, improving the program's performance and efficiency. 2. The basis of Python asynchronous programming The basis of Python asynchronous programming is coroutines and event loops. Coroutines are functions that allow a function to switch between suspending and resuming. The event loop is responsible for scheduling

Concurrent and Asynchronous Programming Concurrent programming deals with multiple tasks executing simultaneously, asynchronous programming is a type of concurrent programming in which tasks do not block threads. asyncio is a library for asynchronous programming in python, which allows programs to perform I/O operations without blocking the main thread. Event loop The core of asyncio is the event loop, which monitors I/O events and schedules corresponding tasks. When a coroutine is ready, the event loop executes it until it waits for I/O operations. It then pauses the coroutine and continues executing other coroutines. Coroutines Coroutines are functions that can pause and resume execution. The asyncdef keyword is used to create coroutines. The coroutine uses the await keyword to wait for the I/O operation to complete. The following basics of asyncio

Asynchronous and non-blocking techniques can be used to complement traditional exception handling, allowing the creation of more responsive and efficient Java applications: Asynchronous exception handling: Handling exceptions in another thread or process, allowing the main thread to continue executing, avoiding blocking. Non-blocking exception handling: involves event-driven exception handling when an I/O operation goes wrong, avoiding blocking threads and allowing the event loop to handle exceptions.

How to use Go coroutines to implement parallel processing? Create a coroutine to calculate the Fibonacci sequence in parallel. Coroutines transfer data through channels to achieve parallel computing. The main coroutine receives and processes the results of parallel calculations.
