HTTP Request Batching is a software technique that enables multiple HTTP requests to be combined into one request, thereby reducing server overhead and latency. It's useful for applications that frequently make small or frequent requests, resulting in faster response times and improved performance.
If you are looking for a way to fetch HTTP resources in parallel, batchhttp is a Python tool that you must check out. The package uses standard MIME multipart encoding to make parallelizable HTTP requests over a single proxy connection. With batchhttp's BatchClient, you can easily apply this technique to HTTP messages.
Using the tool is pretty straightforward. All you need to do is open a new request on a BatchClient instance and add your subrequests. Additionally, you can add callbacks that will receive the subresponses. Once you have added all parallelized requests, complete the request, and you are good to go. The batched subresponses will be provided to your callbacks.
The best part is that batchhttp follows the draft specification for batch HTTP request processing, which is available online. So, you can rest assured that the tool is standards-conservant and reliable. Overall, if you want to fetch HTTP resources in parallel without worrying about the technicalities, batchhttp is the tool to use.
Using the tool is pretty straightforward. All you need to do is open a new request on a BatchClient instance and add your subrequests. Additionally, you can add callbacks that will receive the subresponses. Once you have added all parallelized requests, complete the request, and you are good to go. The batched subresponses will be provided to your callbacks.
The best part is that batchhttp follows the draft specification for batch HTTP request processing, which is available online. So, you can rest assured that the tool is standards-conservant and reliable. Overall, if you want to fetch HTTP resources in parallel without worrying about the technicalities, batchhttp is the tool to use.
What's New
Version 1.0: N/A