def test_multiprocessing(self):
set_db_uri()
key1, key2, key3 = uuid4(), uuid4(), uuid4()
value1, value2, value3 = 11111, 22222, 33333
self.close_connections_before_forking()
pipeline_ids = [1, 2, 3]
runner = MultiprocessRunner(
system=self.system,
pipeline_ids=pipeline_ids,
infrastructure_class=self.infrastructure_class,
)
# Start running operating system processes.
with runner:
# Get local application object.
paxosapplication0 = runner.get(runner.system.process_classes["paxosapplication0"])
assert isinstance(paxosapplication0, PaxosApplication)
# Start proposing values on the different system pipelines.
paxosapplication0.change_pipeline(1)
started1 = datetime.datetime.now()
paxosapplication0.propose_value(key1, value1)
paxosapplication0.change_pipeline(2)
started2 = datetime.datetime.now()
paxosapplication0.propose_value(key2, value2)
paxosapplication0.change_pipeline(3)
started3 = datetime.datetime.now()
paxosapplication0.propose_value(key3, value3)
# Check all the process applications have expected final values.
paxosapplication1 = runner.get(runner.system.process_classes["paxosapplication1"])
paxosapplication2 = runner.get(runner.system.process_classes["paxosapplication2"])
assert isinstance(paxosapplication1, PaxosApplication)
paxosapplication0.repository.use_cache = False
paxosapplication1.repository.use_cache = False
paxosapplication2.repository.use_cache = False
self.assert_final_value(paxosapplication0, key1, value1)
self.assert_final_value(paxosapplication1, key1, value1)
self.assert_final_value(paxosapplication2, key1, value1)
duration1 = (datetime.datetime.now() - started1).total_seconds()
print("Resolved paxos 1 with multiprocessing in %ss" % duration1)
self.assert_final_value(paxosapplication0, key2, value2)
self.assert_final_value(paxosapplication1, key2, value2)
self.assert_final_value(paxosapplication2, key2, value2)
duration2 = (datetime.datetime.now() - started2).total_seconds()
print("Resolved paxos 2 with multiprocessing in %ss" % duration2)
self.assert_final_value(paxosapplication0, key3, value3)
self.assert_final_value(paxosapplication1, key3, value3)
self.assert_final_value(paxosapplication2, key3, value3)
duration3 = (datetime.datetime.now() - started3).total_seconds()
print("Resolved paxos 3 with multiprocessing in %ss" % duration3)
def test_multiprocessing_performance(self):
set_db_uri()
num_pipelines = 2
pipeline_ids = range(num_pipelines)
runner = MultiprocessRunner(
system=self.system,
pipeline_ids=pipeline_ids,
infrastructure_class=self.infrastructure_class,
setup_tables=True,
)
num_proposals = 50
self.close_connections_before_forking()
with runner:
sleep(1)
# Construct an application instance in this process.
paxosapplication0 = runner.get(
runner.system.process_classes["paxosapplication0"])
assert isinstance(paxosapplication0, PaxosApplication)
# Don't use the cache, so as to keep checking actual database.
paxosapplication0.repository.use_cache = False
# Start timing (just for fun).
started = datetime.datetime.now()
# Propose values.
proposals = list(((uuid4(), i) for i in range(num_proposals)))
for key, value in proposals:
paxosapplication0.change_pipeline((value % len(pipeline_ids)))
print("Proposing key {} value {}".format(key, value))
paxosapplication0.propose_value(key, str(value))
sleep(0.0)
# Check final values.
for key, value in proposals:
print("Asserting final value for key {} value {}".format(
key, value))
self.assert_final_value(paxosapplication0, key, str(value))
# Print timing information (just for fun).
duration = (datetime.datetime.now() - started).total_seconds()
print(
"Resolved {} paxoses with multiprocessing in {:.4f}s ({:.4f}s "
"each)".format(num_proposals, duration,
duration / num_proposals))
def test_multipipeline_multiprocessing_multiapp(self):
self.set_db_uri()
system = System(
(Orders, Reservations, Orders, Payments, Orders),
setup_tables=True,
infrastructure_class=self.infrastructure_class,
)
num_pipelines = 2
pipeline_ids = range(num_pipelines)
multiprocess_runner = MultiprocessRunner(system, pipeline_ids=pipeline_ids)
num_orders_per_pipeline = 5
order_ids = []
self.close_connections_before_forking()
# Start multiprocessing system.
with multiprocess_runner:
# Create some new orders.
for _ in range(num_orders_per_pipeline):
orders = multiprocess_runner.get(Orders)
for pipeline_id in pipeline_ids:
orders.change_pipeline(pipeline_id)
order_id = create_new_order()
order_ids.append(order_id)
sleep(0.05)
# Wait for orders to be reserved and paid.
retries = 10 + 10 * num_orders_per_pipeline * len(pipeline_ids)
for i, order_id in enumerate(order_ids):
while not orders.repository[order_id].is_reserved:
sleep(0.1)
retries -= 1
assert retries, "Failed set order.is_reserved {} ({})".format(
order_id, i
)
while retries and not orders.repository[order_id].is_paid:
sleep(0.1)
retries -= 1
assert retries, "Failed set order.is_paid ({})".format(i)
# Calculate timings from event timestamps.
order_aggregates = [orders.repository[oid] for oid in order_ids]
first_timestamp = min([o.__created_on__ for o in order_aggregates])
last_timestamp = max([o.__last_modified__ for o in order_aggregates])
duration = last_timestamp - first_timestamp
rate = len(order_ids) / float(duration)
period = 1 / rate
print(
"Orders system processed {} orders in {:.3f}s at rate of {:.1f} "
"orders/s, {:.3f}s each".format(len(order_ids), duration, rate, period)
)
# Print min, average, max duration.
durations = [
o.__last_modified__ - o.__created_on__ for o in order_aggregates
]
print("Min order processing time: {:.3f}s".format(min(durations)))
print(
"Mean order processing time: {:.3f}s".format(
sum(durations) / len(durations)
)
)
print("Max order processing time: {:.3f}s".format(max(durations)))