CODEWITHSUNDEEP
pythongoogle-cloud-functions
GLP
GLP

Reputation: 3675

How to use Python asyncio on Google Cloud Functions?

I have a google cloud function triggered by HTTP request does following two tasks:

def task1():
  do sth
  return info

def task2(info):
  do sth
  
def main(request)
  info=task1()
  if (info):
    task2(info)
  return info

I would like the function returns without waiting the task2 completes. So I did following changes:

import asyncio

def task1():
  do sth
  return info

async def task2(info):
  do sth

async def bar(info):
  return await task2(info)
  
def main(request)
  info=task1()
  if (info):
    asyncio.run(bar(info))
  return info

Not sure if I did is correct? But I didn't notice the function gets any faster. Can anyone give me some suggestions?

Upvotes: 0

Views: 973

Answers (1)

guillaume blaquiere
guillaume blaquiere

Reputation: 75715

Coroutines are designed to leverage CPU concurrent processing. Typically, when you can call a URL and wait the response, there is time (some milliseconds). Instead of doing nothing you can use the unused CPU power to process another coroutine. It's more efficient and, ideally, the max processing time is equals to the slowest coroutine (or API call in my example).

in your example, there is no wait, no time where the CPU do nothing (a sleep, a URL call) and thus you can't leverage the concurrency process. In addition, you need to have 2 or more coroutine to see the benefit of concurrent execution.

Upvotes: 1

Related Questions