ray/test/component_failures_test.py
2017-04-07 23:05:29 -07:00

244 lines
8.5 KiB
Python

from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import ray
import time
import unittest
class ComponentFailureTest(unittest.TestCase):
def tearDown(self):
ray.worker.cleanup()
# This test checks that when a worker dies in the middle of a get, the plasma
# store and manager will not die.
def testDyingWorkerGet(self):
obj_id = 20 * b"a"
@ray.remote
def f():
ray.worker.global_worker.plasma_client.get(obj_id)
ray.worker._init(num_workers=1,
driver_mode=ray.SILENT_MODE,
start_workers_from_local_scheduler=False,
start_ray_local=True,
redirect_output=True)
# Have the worker wait in a get call.
f.remote()
# Kill the worker.
time.sleep(1)
ray.services.all_processes[ray.services.PROCESS_TYPE_WORKER][0].terminate()
time.sleep(0.1)
# Seal the object so the store attempts to notify the worker that the get
# has been fulfilled.
ray.worker.global_worker.plasma_client.create(obj_id, 100)
ray.worker.global_worker.plasma_client.seal(obj_id)
time.sleep(0.1)
# Make sure that nothing has died.
self.assertTrue(ray.services.all_processes_alive(
exclude=[ray.services.PROCESS_TYPE_WORKER]))
# This test checks that when a worker dies in the middle of a wait, the
# plasma store and manager will not die.
def testDyingWorkerWait(self):
obj_id = 20 * b"a"
@ray.remote
def f():
ray.worker.global_worker.plasma_client.wait([obj_id])
ray.worker._init(num_workers=1,
driver_mode=ray.SILENT_MODE,
start_workers_from_local_scheduler=False,
start_ray_local=True,
redirect_output=True)
# Have the worker wait in a get call.
f.remote()
# Kill the worker.
time.sleep(1)
ray.services.all_processes[ray.services.PROCESS_TYPE_WORKER][0].terminate()
time.sleep(0.1)
# Seal the object so the store attempts to notify the worker that the get
# has been fulfilled.
ray.worker.global_worker.plasma_client.create(obj_id, 100)
ray.worker.global_worker.plasma_client.seal(obj_id)
time.sleep(0.1)
# Make sure that nothing has died.
self.assertTrue(ray.services.all_processes_alive(
exclude=[ray.services.PROCESS_TYPE_WORKER]))
def _testWorkerFailed(self, num_local_schedulers):
@ray.remote
def f(x):
time.sleep(0.5)
return x
num_initial_workers = 4
ray.worker._init(num_workers=num_initial_workers * num_local_schedulers,
num_local_schedulers=num_local_schedulers,
start_workers_from_local_scheduler=False,
start_ray_local=True,
num_cpus=[num_initial_workers] * num_local_schedulers,
redirect_output=True)
# Submit more tasks than there are workers so that all workers and cores
# are utilized.
object_ids = [f.remote(i) for i
in range(num_initial_workers * num_local_schedulers)]
object_ids += [f.remote(object_id) for object_id in object_ids]
# Allow the tasks some time to begin executing.
time.sleep(0.1)
# Kill the workers as the tasks execute.
for worker in ray.services.all_processes[ray.services.PROCESS_TYPE_WORKER]:
worker.terminate()
time.sleep(0.1)
# Make sure that we can still get the objects after the executing tasks
# died.
ray.get(object_ids)
def testWorkerFailed(self):
self._testWorkerFailed(1)
def testWorkerFailedMultinode(self):
self._testWorkerFailed(4)
def _testComponentFailed(self, component_type):
"""Kill a component on all worker nodes and check workload succeeds."""
@ray.remote
def f(x, j):
time.sleep(0.2)
return x
# Start with 4 workers and 4 cores.
num_local_schedulers = 4
num_workers_per_scheduler = 8
ray.worker._init(
num_workers=num_local_schedulers * num_workers_per_scheduler,
num_local_schedulers=num_local_schedulers,
start_ray_local=True,
num_cpus=[num_workers_per_scheduler] * num_local_schedulers,
redirect_output=True)
# Submit more tasks than there are workers so that all workers and cores
# are utilized.
object_ids = [f.remote(i, 0) for i
in range(num_workers_per_scheduler * num_local_schedulers)]
object_ids += [f.remote(object_id, 1) for object_id in object_ids]
object_ids += [f.remote(object_id, 2) for object_id in object_ids]
# Kill the component on all nodes except the head node as the tasks
# execute.
time.sleep(0.1)
components = ray.services.all_processes[component_type]
for process in components[1:]:
process.terminate()
time.sleep(0.1)
process.kill()
process.wait()
self.assertNotEqual(process.poll(), None)
time.sleep(1)
# Make sure that we can still get the objects after the executing tasks
# died.
results = ray.get(object_ids)
expected_results = 4 * list(range(
num_workers_per_scheduler * num_local_schedulers))
self.assertEqual(results, expected_results)
def check_components_alive(self, component_type, check_component_alive):
"""Check that a given component type is alive on all worker nodes.
"""
components = ray.services.all_processes[component_type][1:]
for component in components:
if check_component_alive:
self.assertTrue(component.poll() is None)
else:
self.assertTrue(component.poll() <= 0)
def testLocalSchedulerFailed(self):
# Kill all local schedulers on worker nodes.
self._testComponentFailed(ray.services.PROCESS_TYPE_LOCAL_SCHEDULER)
# The plasma stores and plasma managers should still be alive on the worker
# nodes.
self.check_components_alive(ray.services.PROCESS_TYPE_PLASMA_STORE, True)
self.check_components_alive(ray.services.PROCESS_TYPE_PLASMA_MANAGER, True)
self.check_components_alive(ray.services.PROCESS_TYPE_LOCAL_SCHEDULER,
False)
def testPlasmaManagerFailed(self):
# Kill all plasma managers on worker nodes.
self._testComponentFailed(ray.services.PROCESS_TYPE_PLASMA_MANAGER)
# The plasma stores should still be alive (but unreachable) on the worker
# nodes.
self.check_components_alive(ray.services.PROCESS_TYPE_PLASMA_STORE, True)
self.check_components_alive(ray.services.PROCESS_TYPE_PLASMA_MANAGER,
False)
self.check_components_alive(ray.services.PROCESS_TYPE_LOCAL_SCHEDULER,
False)
def testPlasmaStoreFailed(self):
# Kill all plasma stores on worker nodes.
self._testComponentFailed(ray.services.PROCESS_TYPE_PLASMA_STORE)
# No processes should be left alive on the worker nodes.
self.check_components_alive(ray.services.PROCESS_TYPE_PLASMA_STORE, False)
self.check_components_alive(ray.services.PROCESS_TYPE_PLASMA_MANAGER,
False)
self.check_components_alive(ray.services.PROCESS_TYPE_LOCAL_SCHEDULER,
False)
def testDriverLivesSequential(self):
ray.worker.init(redirect_output=True)
all_processes = ray.services.all_processes
processes = [
all_processes[ray.services.PROCESS_TYPE_PLASMA_STORE][0],
all_processes[ray.services.PROCESS_TYPE_PLASMA_MANAGER][0],
all_processes[ray.services.PROCESS_TYPE_LOCAL_SCHEDULER][0],
all_processes[ray.services.PROCESS_TYPE_GLOBAL_SCHEDULER][0]]
# Kill all the components sequentially.
for process in processes:
process.terminate()
time.sleep(0.1)
process.kill()
process.wait()
# If the driver can reach the tearDown method, then it is still alive.
def testDriverLivesParallel(self):
ray.worker.init(redirect_output=True)
all_processes = ray.services.all_processes
processes = [
all_processes[ray.services.PROCESS_TYPE_PLASMA_STORE][0],
all_processes[ray.services.PROCESS_TYPE_PLASMA_MANAGER][0],
all_processes[ray.services.PROCESS_TYPE_LOCAL_SCHEDULER][0],
all_processes[ray.services.PROCESS_TYPE_GLOBAL_SCHEDULER][0]]
# Kill all the components in parallel.
for process in processes:
process.terminate()
time.sleep(0.1)
for process in processes:
process.kill()
for process in processes:
process.wait()
# If the driver can reach the tearDown method, then it is still alive.
if __name__ == "__main__":
unittest.main(verbosity=2)