def testMcas(self):
mc = GetMemcacheClient()
key1, key2 = uuid4().hex, uuid4().hex
mc.set_multi({key1: 'foo', key2: 'bar'})
item1, item2 = mcas_get(mc, key1), mcas_get(mc, key2)
self.assertTrue(mcas(mc, [(item1, 'foo2'), (item2, 'bar2')]))
self.assertEqual(mc.get_multi([key1, key2]), {key1: 'foo2', key2: 'bar2'})
def worker():
QueueManager.register(COMMAND_QUEUE)
m = QueueManager(address=('', CONTROL_PORT), authkey=CONTROL_KEY)
m.connect()
command_queue = getattr(m, COMMAND_QUEUE)()
r = Random()
r.seed(time.time())
while True:
command = command_queue.get()
mc = GetMemcacheClient(command['servers'])
location_keys = command['location_keys']
num_locations_per_mcas = command['num_locations_per_mcas']
batch_size = command['batch_size']
print('worker received command')
batch_time = time.time()
num_retries = 0
for i in range(batch_size):
op_time = time.time()
mcas_keys = r.sample(location_keys, num_locations_per_mcas)
while True:
if mcas(mc, ((item, item.value + 1)
for item in (mcas_get(mc, key) for key in mcas_keys))):
break
else:
num_retries += 1
if TARGET_RATE:
time.sleep(max(0, 1 / TARGET_RATE - (time.time() - op_time)))
print('done: %.1f operations per second, %s retries' % (
batch_size/(time.time() - batch_time), num_retries))
command_queue.task_done()
def testMcas(self):
mc = GetMemcacheClient()
key1, key2 = uuid4().hex, uuid4().hex
mc.set_multi({key1: 'foo', key2: 'bar'})
item1, item2 = mcas_get(mc, key1), mcas_get(mc, key2)
self.assertTrue(mcas(mc, [(item1, 'foo2'), (item2, 'bar2')]))
self.assertEqual(mc.get_multi([key1, key2]), {key1: 'foo2', key2: 'bar2'})
def worker():
QueueManager.register(COMMAND_QUEUE)
m = QueueManager(address=('', CONTROL_PORT), authkey=CONTROL_KEY)
m.connect()
command_queue = getattr(m, COMMAND_QUEUE)()
r = Random()
r.seed(time.time())
while True:
command = command_queue.get()
mc = GetMemcacheClient(command['servers'])
location_keys = command['location_keys']
num_locations_per_mcas = command['num_locations_per_mcas']
batch_size = command['batch_size']
print('worker received command')
batch_time = time.time()
num_retries = 0
for i in range(batch_size):
op_time = time.time()
mcas_keys = r.sample(location_keys, num_locations_per_mcas)
while True:
if mcas(mc, ((item, item.value + 1)
for item in (mcas_get(mc, key)
for key in mcas_keys))):
break
else:
num_retries += 1
if TARGET_RATE:
time.sleep(max(0, 1 / TARGET_RATE - (time.time() - op_time)))
print('done: %.1f operations per second, %s retries' %
(batch_size / (time.time() - batch_time), num_retries))
command_queue.task_done()
