Actor task execution order#
Synchronous, single-threaded actor#
An actor receives tasks from multiple submitters, including the driver and workers. A synchronous, single-threaded actor executes tasks from the same submitter in submission order, unless you set allow_out_of_order_execution or Ray retries tasks. The actor doesn’t start a task until all earlier tasks from the same submitter finish. If you set max_task_retries to a nonzero value for an actor, Ray doesn’t guarantee task execution order when tasks retry.
import ray
@ray.remote
class Counter:
def __init__(self):
self.value = 0
def add(self, addition):
self.value += addition
return self.value
counter = Counter.remote()
# For tasks from the same submitter,
# they are executed according to submission order.
value0 = counter.add.remote(1)
value1 = counter.add.remote(2)
# Output: 1. The first submitted task is executed first.
print(ray.get(value0))
# Output: 3. The later submitted task is executed later.
print(ray.get(value1))
1
3
However, the actor doesn’t guarantee execution order for tasks from different submitters. For example, if an unfulfilled argument blocks an earlier task, the actor can still execute tasks that a different worker submits.
import time
import ray
@ray.remote
class Counter:
def __init__(self):
self.value = 0
def add(self, addition):
self.value += addition
return self.value
counter = Counter.remote()
# Submit task from a worker
@ray.remote
def submitter(value):
return ray.get(counter.add.remote(value))
# Simulate delayed result resolution.
@ray.remote
def delayed_resolution(value):
time.sleep(1)
return value
# Submit tasks from different workers, with
# the first submitted task waiting for
# dependency resolution.
value0 = submitter.remote(delayed_resolution.remote(1))
value1 = submitter.remote(2)
# Output: 3. The first submitted task is executed later.
print(ray.get(value0))
# Output: 2. The later submitted task is executed first.
print(ray.get(value1))
3
2
Asynchronous or threaded actor#
Asynchronous or threaded actors don’t guarantee task execution order. Ray might execute a task even while earlier tasks are still pending.
import time
import ray
@ray.remote
class AsyncCounter:
def __init__(self):
self.value = 0
async def add(self, addition):
self.value += addition
return self.value
counter = AsyncCounter.remote()
# Simulate delayed result resolution.
@ray.remote
def delayed_resolution(value):
time.sleep(1)
return value
# Submit tasks from the driver, with
# the first submitted task waiting for
# dependency resolution.
value0 = counter.add.remote(delayed_resolution.remote(1))
value1 = counter.add.remote(2)
# Output: 3. The first submitted task is executed later.
print(ray.get(value0))
# Output: 2. The later submitted task is executed first.
print(ray.get(value1))
3
2