AsyncIO Clients
Explore how to build Python AsyncIO clients capable of managing thousands of simultaneous connections. Learn to use asyncio.gather and to_thread to run concurrent tasks efficiently. Understand how to implement client-side concurrency for real-world applications like marine weather forecasting. This lesson helps you grasp asynchronous networking patterns and leverage AsyncIO in Python for responsive client processes.
We'll cover the following...
Because it is capable of handling many thousands of simultaneous connections, AsyncIO is very common for implementing servers. However, it is a generic networking library and provides full support for client processes as well. This is pretty important, since many microservices act as clients to other servers.
Simplicity of clients
Clients can be much simpler than servers, as they don’t have to be set up to wait for incoming connections. We can leverage the await asyncio.gather() function
to parcel out a lot of work, and wait to process the results when they’ve completed. This can work well with asyncio.to_thread() which assigns blocking requests
to separate threads, permitting the main thread to interleave work among the coroutines.
We can also ...