How deeply does Python Concurrency with asyncio cover asyncio.run_coroutine_threadsafe?

Explains submission, nonblocking behavior, thread safety, and future type through a stress-test implementation.

Asyncio.run_coroutine_threadsafe

As explained in Python Concurrency with asyncio

asyncio.run_coroutine_threadsafe is an asyncio function that submits a coroutine to an event loop from another thread and returns a concurrent.futures future.

asyncio.run_coroutine_threadsafe submits a coroutine to an event loop from another thread without blocking, then immediately returns a concurrent.futures future for accessing its result. section 7.4.2

Unlike asyncio.run, which waits for completion, this function keeps a Tkinter interface responsive while an asyncio loop runs in a separate thread. Its returned future is thread-safe because asyncio futures are not. section 7.4.2

Submitting a stress test

A StressTest.start method calls asyncio.run_coroutine_threadsafe(self._make_requests(), self._loop) and stores the returned future while the asyncio loop performs URL requests.

How Python Concurrency with asyncio covers it

Cover of Python Concurrency with asyncio

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Related concepts

futureproduces · A future is an abstraction representing an asynchronous computation or its result, which may not be complete or available yet.
asyncio.runalternative to · asyncio.run is a Python standard-library function that runs a coroutine in a newly created event loop, returns its result, and closes the loop after completion.

This explainer was generated by Manning's knowledge graph from the text of Python Concurrency with asyncio. The section links point to the parts of the book it draws on.