def testGcClient(self):
dispatcher = server_lib.DispatchServer(
service_config_pb2.DispatcherConfig(protocol="grpc",
job_gc_check_interval_ms=50,
job_gc_timeout_ms=20,
client_timeout_ms=50))
dispatcher_address = dispatcher.target.split("://")[1]
_ = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher_address=dispatcher_address,
heartbeat_interval_ms=100))
num_elements = 1000
dataset = dataset_ops.Dataset.range(num_elements)
dataset = dataset.apply(
data_service_ops._distribute(processing_mode=ShardingPolicy.OFF,
service=dispatcher.target,
task_refresh_interval_hint_ms=10000))
get_next = self.getNext(dataset)
# The client does not heartbeat in 10 seconds. It will be garbage-collected.
with self.assertRaisesRegex(errors.NotFoundError,
"Unknown job client id"):
self.evaluate(get_next())
time.sleep(3)
self.getIteratorOutput(get_next)
def testKeepClientAliveBeforeReading(self):
dispatcher = server_lib.DispatchServer(
service_config_pb2.DispatcherConfig(protocol="grpc",
job_gc_check_interval_ms=50,
job_gc_timeout_ms=20,
client_timeout_ms=1000))
dispatcher_address = dispatcher.target.split("://")[1]
_ = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher_address=dispatcher_address,
heartbeat_interval_ms=100))
num_elements = 1000
dataset = dataset_ops.Dataset.range(num_elements)
dataset = dataset.apply(
data_service_ops._distribute(
processing_mode=data_service_ops.ShardingPolicy.OFF,
service=dispatcher.target,
task_refresh_interval_hint_ms=100))
get_next = self.getNext(dataset)
# The client regularly heartbeats in 100 milliseconds. It should not be
# garbage-collected even if it does not start reading in 3 seconds.
time.sleep(3)
self.assertEqual(self.getIteratorOutput(get_next),
list(range(num_elements)))
def testStopStartDispatcher(self):
dispatcher = server_lib.DispatchServer()
dispatcher._stop()
with self.assertRaisesRegex(
RuntimeError,
"Server cannot be started after it has been stopped"):
dispatcher.start()
def testStopStartWorker(self):
dispatcher = server_lib.DispatchServer(0)
worker = server_lib.WorkerServer(0, dispatcher._address)
worker._stop()
with self.assertRaisesRegex(
RuntimeError, "Server cannot be started after it has been stopped"):
worker.start()
def testStartWorkerWithPortConfig(self):
dispatcher = server_lib.DispatchServer()
port = pick_unused_port()
worker = server_lib.WorkerServer(server_lib.WorkerConfig(
dispatcher._address, port=port),
start=True)
self.assertEqual(worker._address, "localhost:{}".format(port))
def start_dispatch_server(self, name="", port=0):
# If a test starts multiple independent dispatch servers, it should give
# them different `name` values.
work_dir = os.path.join(self.get_temp_dir(), "work_dir_", name)
return server_lib.DispatchServer(port=port,
protocol=server_lib.DEFAULT_PROTOCOL,
work_dir=work_dir,
fault_tolerant_mode=True)
def _start_dispatcher(self, worker_addresses):
work_dir = tempfile.mkdtemp(dir=googletest.GetTempDir())
self._dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(port=0,
work_dir=work_dir,
protocol="grpc",
worker_addresses=worker_addresses),
start=True)
def _start_dispatcher(self, worker_addresses, port=0):
self._dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(
port=port,
work_dir=self._work_dir,
protocol="grpc",
worker_addresses=worker_addresses,
fault_tolerant_mode=True),
start=True)
def testProfileWorker(self):
dispatcher = server_lib.DispatchServer()
worker = server_lib.WorkerServer(
server_lib.WorkerConfig(dispatcher._address))
# Test the profilers are successfully started and connected to profiler
# service on the worker. Since there is no op running, it is expected to
# return UnavailableError with no trace events collected string.
with self.assertRaises(errors.UnavailableError) as error:
profiler_client.trace(worker._address, tempfile.mkdtemp(), duration_ms=10)
self.assertStartsWith(str(error.exception), "No trace event was collected")
def restart_dispatcher(self):
"""Stops `dispatcher` and creates a new dispatcher with the same port."""
port = int(self.dispatcher_address().split(":")[1])
self.dispatcher._stop()
self.dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(
port=port,
work_dir=self.dispatcher._config.work_dir,
fault_tolerant_mode=self.dispatcher._config.fault_tolerant_mode
))
def __init__(self,
num_workers,
dispatcher_port=0,
work_dir=TMP_WORK_DIR,
fault_tolerant_mode=True,
job_gc_check_interval_ms=None,
job_gc_timeout_ms=None,
worker_shutdown_quiet_period_ms=0,
start=True,
data_transfer_protocol=None):
"""Creates a tf.data service test cluster.
Args:
num_workers: The number of workers to initially add to the cluster.
dispatcher_port: The port to use for the dispatcher.
work_dir: The work directory to use for the dispatcher. If set to
`TMP_WORK_DIR`, the cluster will create a new temporary directory to use
as the work directory. If set to `NO_WORK_DIR`, no work directory will
be used.
fault_tolerant_mode: Whether the dispatcher should write its state to a
journal so that it can recover from restarts.
job_gc_check_interval_ms: How often the dispatcher should scan through to
delete old and unused jobs, in milliseconds.
job_gc_timeout_ms: How long a job needs to be unused before it becomes a
candidate for garbage collection, in milliseconds.
worker_shutdown_quiet_period_ms: When shutting down a worker, how long to
wait for the gRPC server to process the final requests.
start: Whether to immediately start the servers in the cluster. If
`False`, the servers can be started later by calling
`start_dispatcher()` and `start_workers()`.
data_transfer_protocol: (Optional.) The protocol to use for transferring
data with the tf.data service. The default can controlled via
tf_data_service_test_transfer_protocol flag.
"""
if work_dir == TMP_WORK_DIR:
work_dir = tempfile.mkdtemp(dir=googletest.GetTempDir())
self._worker_shutdown_quiet_period_ms = worker_shutdown_quiet_period_ms
if not data_transfer_protocol:
data_transfer_protocol = TRANSFER_PROTOCOL.value
self._data_transfer_protocol = data_transfer_protocol
self.dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(
port=dispatcher_port,
work_dir=work_dir,
protocol=PROTOCOL,
fault_tolerant_mode=fault_tolerant_mode,
job_gc_check_interval_ms=job_gc_check_interval_ms,
job_gc_timeout_ms=job_gc_timeout_ms),
start=start)
self.workers = []
for _ in range(num_workers):
self.add_worker(start=start)
def _start_dispatcher(self, worker_addresses, port=0):
if port == 0:
port = test_util.pick_unused_port()
self._dispatcher = server_lib.DispatchServer(
service_config_pb2.DispatcherConfig(
port=port,
protocol="grpc",
work_dir=self._work_dir,
fault_tolerant_mode=True,
worker_addresses=worker_addresses,
deployment_mode=self._deployment_mode),
start=True)
def __init__(self,
num_local_workers,
num_remote_workers,
dispatcher_port=0,
worker_shutdown_quiet_period_ms=0):
work_dir = tempfile.mkdtemp(dir=googletest.GetTempDir())
self._worker_shutdown_quiet_period_ms = worker_shutdown_quiet_period_ms
self._dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(port=dispatcher_port,
work_dir=work_dir,
protocol="grpc"),
start=True)
self._local_workers = self.start_local_workers(num_local_workers)
self.start_remote_workers(num_remote_workers)
def restart_dispatcher(self):
"""Stops `dispatcher` and creates a new dispatcher with the same port.
Restarting is supported only when the dispatcher is configured with
`fault_tolerant_mode=True`.
"""
if not self.dispatcher._config.fault_tolerant_mode:
raise ValueError(
"Trying to restart the dispatcher without fault-tolerance.")
port = int(self.dispatcher_address().split(":")[1])
self.dispatcher._stop()
self.dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(
port=port,
work_dir=self.dispatcher._config.work_dir,
fault_tolerant_mode=self.dispatcher._config.fault_tolerant_mode))
def create_cluster(self, num_workers):
"""Creates a cluster of tf.data service servers.
Args:
num_workers: The number of workers in the cluster.
Returns:
A string for connecting to the tf.data service.
"""
self._dispatcher = server_lib.DispatchServer(port=0, protocol=PROTOCOL)
self._servers = []
for _ in range(num_workers):
self._servers.append(
server_lib.WorkerServer(
port=0,
dispatcher_address=self._dispatcher._address,
protocol=PROTOCOL))
return "{0}://{1}".format(PROTOCOL, self._dispatcher._address)
def testDispatcherPreemption(self):
self._dispatcher = server_lib.DispatchServer(port=0, protocol=PROTOCOL)
self._worker = server_lib.WorkerServer(
port=0,
dispatcher_address=self._dispatcher._address,
protocol=PROTOCOL)
num_elements = 100
ds = dataset_ops.Dataset.range(num_elements)
ds = _make_distributed_dataset(
ds, "{}://{}".format(PROTOCOL, self._dispatcher._address))
iterator = iter(ds)
results = []
results.append(next(iterator).numpy())
self._dispatcher._stop()
# After the dispatcher dies, the worker should continue providing the rest
# of the dataset's elements.
for _ in range(num_elements - 1):
results.append(next(iterator).numpy())
self.assertEqual(results, list(range(num_elements)))
def testCancellation(self):
self.skipTest("b/162521601")
sleep_microseconds = int(1e6) * 1000
self._dispatcher = server_lib.DispatchServer(port=0, protocol=PROTOCOL)
self._worker = server_lib.WorkerServer(
port=0,
dispatcher_address=self._dispatcher._address,
protocol=PROTOCOL)
# Create a dataset which produces the first element quickly, and the second
# element slowly. Fetching the first element triggers prefetching of the
# second element, which we should be able to cancel.
slow = dataset_ops.Dataset.range(1)
slow = slow.apply(testing.sleep(sleep_microseconds))
ds = dataset_ops.Dataset.range(1).concatenate(slow)
ds = _make_distributed_dataset(
ds, "{}://{}".format(PROTOCOL, self._dispatcher._address))
ds = ds.prefetch(1)
get_next = self.getNext(ds, requires_initialization=True)
self.assertEqual(0, self.evaluate(get_next()))
def __init__(self,
num_workers,
dispatcher_port=0,
work_dir=TMP_WORK_DIR,
fault_tolerant_mode=True,
job_gc_check_interval_ms=None,
job_gc_timeout_ms=None,
start=True):
"""Creates a tf.data service test cluster.
Args:
num_workers: The number of workers to initially add to the cluster.
dispatcher_port: The port to use for the dispatcher.
work_dir: The work directory to use for the dispatcher. If set to
`TMP_WORK_DIR`, the cluster will create a new temporary directory to use
as the work directory. If set to `NO_WORK_DIR`, no work directory will
be used.
fault_tolerant_mode: Whether the dispatcher should write its state to a
journal so that it can recover from restarts.
job_gc_check_interval_ms: How often the dispatcher should scan through to
delete old and unused jobs, in milliseconds.
job_gc_timeout_ms: How long a job needs to be unused before it becomes a
candidate for garbage collection, in milliseconds.
start: Whether to immediately start the servers in the cluster. If
`False`, the servers can be started later by calling
`start_dispatcher()` and `start_workers()`.
"""
if work_dir == TMP_WORK_DIR:
work_dir = tempfile.mkdtemp(dir=googletest.GetTempDir())
self.dispatcher = server_lib.DispatchServer(
server_lib.DispatcherConfig(
port=dispatcher_port,
work_dir=work_dir,
fault_tolerant_mode=fault_tolerant_mode,
job_gc_check_interval_ms=job_gc_check_interval_ms,
job_gc_timeout_ms=job_gc_timeout_ms),
start=start)
self.workers = []
for _ in range(num_workers):
self.add_worker(start=start)
def testRestartWorker(self, use_same_port):
self._dispatcher = server_lib.DispatchServer(port=0, protocol=PROTOCOL)
self._worker = server_lib.WorkerServer(
port=0,
dispatcher_address=self._dispatcher._address,
protocol=PROTOCOL)
num_elements = 100
ds = dataset_ops.Dataset.range(num_elements)
ds = _make_distributed_dataset(
ds, "{}://{}".format(PROTOCOL, self._dispatcher._address))
iterator = iter(ds)
# Read halfway through the dataset.
midpoint = num_elements // 2
for i in range(midpoint):
self.assertEqual(i, next(iterator).numpy())
# Stop the original worker and start a new one.
port = 0
if use_same_port:
port = int(self._worker._address.split(":")[1])
self._worker._stop()
self._new_worker = server_lib.WorkerServer(
port=port,
dispatcher_address=self._dispatcher._address,
protocol=PROTOCOL)
# There may have been some elements prefetched from the first worker
# before it was stopped.
while True:
val = next(iterator).numpy()
if val == 0:
break
# The dataset starts over now that we read from the new worker.
# TODO(b/157086991): Iterate until end of sequence when we support
# detecting lost workers.
for i in range(1, num_elements // 2):
val = next(iterator).numpy()
self.assertEqual(i, val)
def testJoinWorker(self): dispatcher = server_lib.DispatchServer(0) worker = server_lib.WorkerServer(0, dispatcher._address) worker._stop() worker.join()
def testJoinDispatcher(self): dispatcher = server_lib.DispatchServer(0) dispatcher._stop() dispatcher.join()
def testStopDispatcher(self): dispatcher = server_lib.DispatchServer(0) dispatcher._stop() dispatcher._stop()
def testMultipleStartWorker(self): dispatcher = server_lib.DispatchServer(0) worker = server_lib.WorkerServer(0, dispatcher._address, start=True) worker.start()
def testStartWorker(self): dispatcher = server_lib.DispatchServer(0) worker = server_lib.WorkerServer(0, dispatcher._address, start=False) worker.start()
