I currently have some code which makes requests to a primary primary set of databases. Each request could take more than the timeout. I want to read the result of the one to finish first and decide whether to wait for the second. The code looks something like this:
GREENLET_TIMEOUT = 1 # Seconds
greenlet_a = gevent.spawn(start_request, redis_a)
greenlet_b = gevent.spawn(start_request, redis_b)
gevent.joinall([greenlet_a, greenlet_b], timeout=GREENLET_TIMEOUT)
result_a = greenlet_a.value
result_b = greenlet_b.value
I saw a similar post here I tried to do what it suggested here:
import time
import gevent
from gevent.event import Event
def first():
time.sleep(1)
return
def second():
time.sleep(5)
return
event = gevent.event.Event()
event.clear()
def callback(value):
event.set()
lst = [gevent.spawn(first), gevent.spawn(second)]
for g in lst:
g.link(callback)
start_time = time.time()
res = event.wait()
print("--- %s seconds ---" % (time.time() - start_time))
print(res)
I expect it to take a little over 1 second and return but it is obviously waiting for both to complete.
I also tried another approach using AsyncResult
import time
import gevent
from gevent.event import AsyncResult
result = AsyncResult()
def first():
result.set(1)
def second():
time.sleep(5)
result.set(2)
first_event = gevent.spawn(first)
second_event = gevent.spawn(second)
res = result.get()
print(res)
Any help would be appreciated!
I was missing the monkey patch part. This works as expected!
import time
import gevent
from gevent.event import AsyncResult
from gevent import monkey
monkey.patch_all(subprocess=True)
result = AsyncResult()
def first():
result.set(1)
def second():
time.sleep(5)
result.set(2)
first_event = gevent.spawn(first)
second_event = gevent.spawn(second)
res = result.get()
print(res)