Django q async task is a convenient way to execute tasks while they’re still running. Instead of waiting for the results to be returned from a relational database, you can use the cache backend to process tasks. Caching can improve the speed of tasks, but the cached results need to be saved before they can become a permanent database entry. The async_iter() method makes this easier.
Django Q is a native task queue and scheduler for Django. It is a multiprocessing worker application. Its name comes from the fact that it uses distributed messaging to process tasks. It also supports realtime operation, which is the primary use of this library. It is a must-have feature for Django applications. Here’s how it works:
To make async tasks run in the same thread as their synchronous counterparts, Django uses a minimal number of context switches. It will only switch once before entering the middleware stack. During this time, Django will use the async thread for view and middleware calls, but it will continue to hold the sync thread open for exception propagation. While this can be a significant performance boost, it can also make your code more fragile.
Asynchronous support is particularly handy when dealing with external APIs and data stores. Asynchronous safety protection prevents the corrupting of data by accidentally calling synchronous code. Django emulates the other call style, resulting in a slight performance penalty of a milliseconds. However, this small performance penalty is worth it if you need to run the code quickly. The same goes for Django q async task, and it’s not hard to find a synchronous extension that works with your application.