Is it guaranteed that coroutines that are arguments to asyncio.gather
will
be scheduled with order preserved? Consider following example:
import asyncio
async def coro(i):
print('{i} finished'.format(i=i))
async def main():
await asyncio.gather(
coro(0),
coro(1),
coro(2),
coro(3),
coro(4),
)
loop = asyncio.get_event_loop()
loop.run_until_complete(main())
and the result:
0 finished
1 finished
2 finished
3 finished
4 finished
gather() runs multiple asynchronous operations and wraps a coroutine as a task. The asyncio. gather() returns a tuple of results in the same order of awaitables.
ensure_future is a method to create Task from coroutine . It creates tasks in different ways based on argument (including using of create_task for coroutines and future-like objects).
Python Concurrency with asyncio introduces asynchronous, parallel, and concurrent programming through hands-on Python examples. Hard-to-grok concurrency topics are broken down into simple flowcharts that make it easy to see how your tasks are running.
Concurrent Functions asyncio. gather : takes a sequence of awaitables, returns an aggregate list of successfully awaited values. asyncio. shield : prevent an awaitable object from being cancelled.
From Python documentation
awaitable asyncio.gather(*aws, loop=None, return_exceptions=False)
Run awaitable objects in the aws sequence concurrently.
If any awaitable in aws is a coroutine, it is automatically scheduled as a Task.
If all awaitables are completed successfully, the result is an aggregate list of returned values. The order of result values corresponds to the order of awaitables in aws.
So the order of result values is preserved, but the execution order is not.
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