def test_serialize_to_bytes(self):
'''
Tests that the serializer correctly converts to a serialized protobuf.
'''
obj = {'a set'}
val = Value()
serialized = self.serializer.dump(obj, val, True)
self.assertEqual(type(serialized), bytes)
val.ParseFromString(serialized)
self.assertEqual(val.type, DEFAULT)
self.assertEqual(self.serializer.load(serialized), obj)
def load(self, data):
# If the type of the input is bytes, then we need to deserialize the
# input first.
if type(data) == bytes:
val = Value()
val.ParseFromString(data)
elif type(data).__name__ == Value.__name__:
# If it's already deserialized, we can just proceed.
val = data
else:
raise ValueError(f'''Input to load was of unsupported type
{str(type(data))}.''')
if val.type == DEFAULT:
return self._load_default(val.body)
elif val.type == STRING:
return self._load_string(val.body)
elif val.type == NUMPY:
return self._load_numpy(val.body)
def dump(self, data, valobj=None, serialize=True):
if not valobj:
valobj = Value()
# If we are attempting to pass a future into another function, we
# simply turn it into a reference because the runtime knows how to
# automatically resolve it.
if type(data) == bytes:
valobj.body = data
valobj.type = DEFAULT
elif isinstance(data, future.CloudburstFuture):
valobj.body = self._dump_default(
CloudburstReference(data.obj_id, True))
valobj.type = DEFAULT
# elif isinstance(data, np.ndarray) or isinstance(data, pd.DataFrame):
# valobj.body = self._dump_numpy(data)
# valobj.type = NUMPY
elif isinstance(data, str):
valobj.body = self._dump_string(data)
valobj.type = STRING
else:
valobj.body = self._dump_default(data)
valobj.type = DEFAULT
if not serialize:
return valobj
return valobj.SerializeToString()
def scheduler(ip, mgmt_ip, route_addr):
# If the management IP is not set, we are running in local mode.
local = (mgmt_ip is None)
kvs = AnnaTcpClient(route_addr, ip, local=local)
scheduler_id = str(uuid.uuid4())
context = zmq.Context(1)
# A mapping from a DAG's name to its protobuf representation.
dags = {}
# Tracks how often a request for each function is received.
call_frequency = {}
# Tracks the time interval between successive requests for a particular
# DAG.
interarrivals = {}
# Tracks the most recent arrival for each DAG -- used to calculate
# interarrival times.
last_arrivals = {}
# Maintains a list of all other schedulers in the system, so we can
# propagate metadata to them.
schedulers = set()
connect_socket = context.socket(zmq.REP)
connect_socket.bind(sutils.BIND_ADDR_TEMPLATE % (CONNECT_PORT))
func_create_socket = context.socket(zmq.REP)
func_create_socket.bind(sutils.BIND_ADDR_TEMPLATE % (FUNC_CREATE_PORT))
func_call_socket = context.socket(zmq.REP)
func_call_socket.bind(sutils.BIND_ADDR_TEMPLATE % (FUNC_CALL_PORT))
dag_create_socket = context.socket(zmq.REP)
dag_create_socket.bind(sutils.BIND_ADDR_TEMPLATE % (DAG_CREATE_PORT))
dag_call_socket = context.socket(zmq.REP)
dag_call_socket.bind(sutils.BIND_ADDR_TEMPLATE % (DAG_CALL_PORT))
dag_delete_socket = context.socket(zmq.REP)
dag_delete_socket.bind(sutils.BIND_ADDR_TEMPLATE % (DAG_DELETE_PORT))
list_socket = context.socket(zmq.REP)
list_socket.bind(sutils.BIND_ADDR_TEMPLATE % (LIST_PORT))
exec_status_socket = context.socket(zmq.PULL)
exec_status_socket.bind(sutils.BIND_ADDR_TEMPLATE % (sutils.STATUS_PORT))
sched_update_socket = context.socket(zmq.PULL)
sched_update_socket.bind(sutils.BIND_ADDR_TEMPLATE %
(sutils.SCHED_UPDATE_PORT))
pin_accept_socket = context.socket(zmq.PULL)
pin_accept_socket.setsockopt(zmq.RCVTIMEO, 500)
pin_accept_socket.bind(sutils.BIND_ADDR_TEMPLATE %
(sutils.PIN_ACCEPT_PORT))
continuation_socket = context.socket(zmq.PULL)
continuation_socket.bind(sutils.BIND_ADDR_TEMPLATE %
(sutils.CONTINUATION_PORT))
if not local:
management_request_socket = context.socket(zmq.REQ)
management_request_socket.setsockopt(zmq.RCVTIMEO, 500)
# By setting this flag, zmq matches replies with requests.
management_request_socket.setsockopt(zmq.REQ_CORRELATE, 1)
# Relax strict alternation between request and reply.
# For detailed explanation, see here: http://api.zeromq.org/4-1:zmq-setsockopt
management_request_socket.setsockopt(zmq.REQ_RELAXED, 1)
management_request_socket.connect(
sched_utils.get_scheduler_list_address(mgmt_ip))
pusher_cache = SocketCache(context, zmq.PUSH)
poller = zmq.Poller()
poller.register(connect_socket, zmq.POLLIN)
poller.register(func_create_socket, zmq.POLLIN)
poller.register(func_call_socket, zmq.POLLIN)
poller.register(dag_create_socket, zmq.POLLIN)
poller.register(dag_call_socket, zmq.POLLIN)
poller.register(dag_delete_socket, zmq.POLLIN)
poller.register(list_socket, zmq.POLLIN)
poller.register(exec_status_socket, zmq.POLLIN)
poller.register(sched_update_socket, zmq.POLLIN)
poller.register(continuation_socket, zmq.POLLIN)
# Start the policy engine.
policy = DefaultCloudburstSchedulerPolicy(pin_accept_socket,
pusher_cache,
kvs,
ip,
local=local)
policy.update()
start = time.time()
while True:
socks = dict(poller.poll(timeout=1000))
if connect_socket in socks and socks[connect_socket] == zmq.POLLIN:
msg = connect_socket.recv_string()
connect_socket.send_string(route_addr)
if (func_create_socket in socks
and socks[func_create_socket] == zmq.POLLIN):
create_function(func_create_socket, kvs)
if func_call_socket in socks and socks[func_call_socket] == zmq.POLLIN:
call_function(func_call_socket, pusher_cache, policy)
if (dag_create_socket in socks
and socks[dag_create_socket] == zmq.POLLIN):
create_dag(dag_create_socket, pusher_cache, kvs, dags, policy,
call_frequency)
if dag_call_socket in socks and socks[dag_call_socket] == zmq.POLLIN:
call = DagCall()
call.ParseFromString(dag_call_socket.recv())
name = call.name
t = time.time()
if name in last_arrivals:
if name not in interarrivals:
interarrivals[name] = []
interarrivals[name].append(t - last_arrivals[name])
last_arrivals[name] = t
if name not in dags:
resp = GenericResponse()
resp.success = False
resp.error = NO_SUCH_DAG
dag_call_socket.send(resp.SerializeToString())
continue
dag = dags[name]
for fname in dag[0].functions:
call_frequency[fname.name] += 1
response = call_dag(call, pusher_cache, dags, policy)
dag_call_socket.send(response.SerializeToString())
if (dag_delete_socket in socks
and socks[dag_delete_socket] == zmq.POLLIN):
delete_dag(dag_delete_socket, dags, policy, call_frequency)
if list_socket in socks and socks[list_socket] == zmq.POLLIN:
msg = list_socket.recv_string()
prefix = msg if msg else ''
resp = StringSet()
resp.keys.extend(sched_utils.get_func_list(kvs, prefix))
list_socket.send(resp.SerializeToString())
if exec_status_socket in socks and socks[exec_status_socket] == \
zmq.POLLIN:
status = ThreadStatus()
status.ParseFromString(exec_status_socket.recv())
policy.process_status(status)
if sched_update_socket in socks and socks[sched_update_socket] == \
zmq.POLLIN:
status = SchedulerStatus()
status.ParseFromString(sched_update_socket.recv())
# Retrieve any DAGs that some other scheduler knows about that we
# do not yet know about.
for dname in status.dags:
if dname not in dags:
payload = kvs.get(dname)
while None in payload:
payload = kvs.get(dname)
dag = Dag()
dag.ParseFromString(payload[dname].reveal())
dags[dag.name] = (dag, sched_utils.find_dag_source(dag))
for fname in dag.functions:
if fname.name not in call_frequency:
call_frequency[fname.name] = 0
policy.update_function_locations(status.function_locations)
if continuation_socket in socks and socks[continuation_socket] == \
zmq.POLLIN:
continuation = Continuation()
continuation.ParseFromString(continuation_socket.recv())
call = continuation.call
call.name = continuation.name
result = Value()
result.ParseFromString(continuation.result)
dag, sources = dags[call.name]
for source in sources:
call.function_args[source].values.extend([result])
call_dag(call, pusher_cache, dags, policy, continuation.id)
end = time.time()
if end - start > METADATA_THRESHOLD:
# Update the scheduler policy-related metadata.
policy.update()
# If the management IP is None, that means we arre running in
# local mode, so there is no need to deal with caches and other
# schedulers.
if not local:
latest_schedulers = sched_utils.get_ip_set(
management_request_socket, False)
if latest_schedulers:
schedulers = latest_schedulers
if end - start > REPORT_THRESHOLD:
status = SchedulerStatus()
for name in dags.keys():
status.dags.append(name)
for fname in policy.function_locations:
for loc in policy.function_locations[fname]:
floc = status.function_locations.add()
floc.name = fname
floc.ip = loc[0]
floc.tid = loc[1]
msg = status.SerializeToString()
for sched_ip in schedulers:
if sched_ip != ip:
sckt = pusher_cache.get(
sched_utils.get_scheduler_update_address(sched_ip))
sckt.send(msg)
stats = ExecutorStatistics()
for fname in call_frequency:
fstats = stats.functions.add()
fstats.name = fname
fstats.call_count = call_frequency[fname]
logging.info('Reporting %d calls for function %s.' %
(call_frequency[fname], fname))
call_frequency[fname] = 0
for dname in interarrivals:
dstats = stats.dags.add()
dstats.name = dname
dstats.call_count = len(interarrivals[dname]) + 1
dstats.interarrival.extend(interarrivals[dname])
interarrivals[dname].clear()
# We only attempt to send the statistics if we are running in
# cluster mode. If we are running in local mode, we write them to
# the local log file.
if mgmt_ip:
sckt = pusher_cache.get(
sutils.get_statistics_report_address(mgmt_ip))
sckt.send(stats.SerializeToString())
start = time.time()