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As I understand, asynchronous networking frameworks/libraries like twisted, tornado, and asyncio provide asynchronous IO through implementing nonblocking sockets and an event loop. Gevent achieves essentially the same thing through monkey patching the standard library, so explicit asynchronous programming via callbacks and coroutines is not required.
On the other hand, asynchronous task queues, like Celery, manage background tasks and distribute those tasks across multiple threads or machines. I do not fully understand this process but it involves message brokers, messages, and workers.
My questions,
Do asynchronous task queues require asynchronous IO? Are they in any way related? The two concepts seem similar, but the implementations at the application level are different. I would think that the only thing they have in common is the word "asynchronous", so perhaps that is throwing me off.
Can someone elaborate on how task queues work and the relationship between the message broker (why are they required?), the workers, and the messages (what are messages? bytes?).
Oh, and I'm not trying to solve any specific problems, I'm just trying to understand the ideas behind asynchronous task queues and asynchronous IO.
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Imagine, you are now pushing the computing part of your application to a queue. This queue would handle every task independently, minimizing user latency and ensuring that even if one of them fails, the rest of the task/data gets processed. This is Asynchronous task processing.
The syntax async def introduces either a native coroutine or an asynchronous generator. The expressions async with and async for are also valid, and you'll see them later on. The keyword await passes function control back to the event loop. (It suspends the execution of the surrounding coroutine.)
Task queues let applications perform work, called tasks, asynchronously outside of a user request. If an app needs to execute work in the background, it adds tasks to task queues. The tasks are executed later, by worker services. The Task Queue service is designed for asynchronous work.
There are two basic types of methods in the Parallels Python API: synchronous and asynchronous. When a synchronous method is invoked, it completes executing before returning to the caller. An asynchronous method starts a job in the background and returns to the caller immediately.
Asynchronous IO is a way to use sockets (or more generally file descriptors) without blocking. This term is specific to one process or even one thread. You can even imagine mixing threads with asynchronous calls. It would be completely fine, yet somewhat complicated.
Now I have no idea what asynchronous task queue means. IMHO there's only a task queue, it's a data structure. You can access it in asynchronous or synchronous way. And by "access" I mean push and pop calls. These can use network internally.
So task queue is a data structure. (A)synchronous IO is a way to access it. That's everything there is to it.
The term asynchronous is havily overused nowadays. The hype is real.
As for your second question:
{"task": "process_image"} and your consumer will fire an appropriate function.As you can see there are no formal definitions of those things and you have to use a bit of intuition to fully understand them.
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