How to Efficiently Send 100,000 HTTP Requests in Python 2.6?

Optimizing HTTP Request Performance in Python

In programming, sending a large number of HTTP requests efficiently can be a challenge. This article explores a specific scenario where 100,000 HTTP requests need to be sent in Python 2.6, and provides a solution using a multi-threaded approach.

The provided solution avoids the complexities of Python's threading and concurrency implementations by utilizing a Queue and Threading library. Here's an overview of how it works:

• A queue is created to store the URLs.
• Multiple threads are spawned, each of which continuously polls the queue for URLs.
• When a thread retrieves a URL, it establishes an HTTP connection and sends a HEAD request to retrieve the status code.
• The thread then stores the status code and URL in a separate queue for further processing.
• The main thread monitors the completion of all tasks and waits for the threads to finish.

This approach achieves high concurrency by having multiple threads working simultaneously, maximizing the utilization of system resources. The getStatus function handles the HTTP requests and returns the status code and URL. The doSomethingWithResult function processes the results, in this case simply printing the status code and URL.

Compared to other solutions, this approach offers faster execution time and lower CPU usage. It is a simple and straightforward solution that can effectively handle thousands of HTTP requests in Python.

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