def create_state_handler(self, api_service_descriptor):
if not api_service_descriptor:
return self._throwing_state_handler
url = api_service_descriptor.url
if url not in self._state_handler_cache:
with self._lock:
if url not in self._state_handler_cache:
# Options to have no limits (-1) on the size of the messages
# received or sent over the data plane. The actual buffer size is
# controlled in a layer above.
options = [('grpc.max_receive_message_length', -1),
('grpc.max_send_message_length', -1)]
if self._credentials is None:
_LOGGER.info('Creating insecure state channel for %s.',
url)
grpc_channel = GRPCChannelFactory.insecure_channel(
url, options=options)
else:
_LOGGER.info('Creating secure state channel for %s.',
url)
grpc_channel = GRPCChannelFactory.secure_channel(
url, self._credentials, options=options)
_LOGGER.info('State channel established.')
# Add workerId to the grpc channel
grpc_channel = grpc.intercept_channel(
grpc_channel, WorkerIdInterceptor())
self._state_handler_cache[url] = CachingStateHandler(
self._state_cache,
GrpcStateHandler(
beam_fn_api_pb2_grpc.BeamFnStateStub(
grpc_channel)))
return self._state_handler_cache[url]
def run(self):
control_stub = beam_fn_api_pb2_grpc.BeamFnControlStub(self._control_channel)
no_more_work = object()
# Create workers
for _ in range(self._worker_count):
state_handler = GrpcStateHandler(
beam_fn_api_pb2_grpc.BeamFnStateStub(self._control_channel))
state_handler.start()
# SdkHarness manage function registration and share self._fns with all
# the workers. This is needed because function registration (register)
# and exceution(process_bundle) are send over different request and we
# do not really know which woker is going to process bundle
# for a function till we get process_bundle request. Moreover
# same function is reused by different process bundle calls and
# potentially get executed by different worker. Hence we need a
# centralized function list shared among all the workers.
self.workers.put(
SdkWorker(
state_handler=state_handler,
data_channel_factory=self._data_channel_factory,
fns=self._fns))
def get_responses():
while True:
response = self._responses.get()
if response is no_more_work:
return
yield response
for work_request in control_stub.Control(get_responses()):
logging.info('Got work %s', work_request.instruction_id)
request_type = work_request.WhichOneof('request')
# Name spacing the request method with 'request_'. The called method
# will be like self.request_register(request)
getattr(self, SdkHarness.REQUEST_METHOD_PREFIX + request_type)(
work_request)
logging.info('No more requests from control plane')
logging.info('SDK Harness waiting for in-flight requests to complete')
# Wait until existing requests are processed.
self._progress_thread_pool.shutdown()
self._process_thread_pool.shutdown()
# get_responses may be blocked on responses.get(), but we need to return
# control to its caller.
self._responses.put(no_more_work)
self._data_channel_factory.close()
# Stop all the workers and clean all the associated resources
for worker in self.workers.queue:
worker.state_handler.done()
logging.info('Done consuming work.')
def create_state_handler(self, api_service_descriptor):
if not api_service_descriptor:
return self._throwing_state_handler
url = api_service_descriptor.url
if url not in self._state_handler_cache:
with self._lock:
if url not in self._state_handler_cache:
logging.info('Creating channel for %s', url)
grpc_channel = grpc.insecure_channel(
url,
# Options to have no limits (-1) on the size of the messages
# received or sent over the data plane. The actual buffer size is
# controlled in a layer above.
options=[("grpc.max_receive_message_length", -1),
("grpc.max_send_message_length", -1)])
# Add workerId to the grpc channel
grpc_channel = grpc.intercept_channel(
grpc_channel, WorkerIdInterceptor())
self._state_handler_cache[url] = GrpcStateHandler(
beam_fn_api_pb2_grpc.BeamFnStateStub(grpc_channel))
return self._state_handler_cache[url]
def run(self):
control_stub = beam_fn_api_pb2_grpc.BeamFnControlStub(
self._control_channel)
state_stub = beam_fn_api_pb2_grpc.BeamFnStateStub(
self._control_channel)
state_handler = GrpcStateHandler(state_stub)
state_handler.start()
self.worker = SdkWorker(state_handler, self._data_channel_factory)
responses = queue.Queue()
no_more_work = object()
def get_responses():
while True:
response = responses.get()
if response is no_more_work:
return
yield response
for work_request in control_stub.Control(get_responses()):
logging.info('Got work %s', work_request.instruction_id)
request_type = work_request.WhichOneof('request')
if request_type == ['process_bundle_progress']:
thread_pool = self._progress_thread_pool
else:
thread_pool = self._default_work_thread_pool
# Need this wrapper to capture the original stack trace.
def do_instruction(request):
try:
return self.worker.do_instruction(request)
except Exception as e: # pylint: disable=broad-except
traceback_str = traceback.format_exc(e)
raise Exception(
"Error processing request. Original traceback "
"is\n%s\n" % traceback_str)
def handle_response(request, response_future):
try:
response = response_future.result()
except Exception as e: # pylint: disable=broad-except
logging.error('Error processing instruction %s',
request.instruction_id,
exc_info=True)
response = beam_fn_api_pb2.InstructionResponse(
instruction_id=request.instruction_id, error=str(e))
responses.put(response)
thread_pool.submit(do_instruction, work_request).add_done_callback(
functools.partial(handle_response, work_request))
logging.info("No more requests from control plane")
logging.info("SDK Harness waiting for in-flight requests to complete")
# Wait until existing requests are processed.
self._progress_thread_pool.shutdown()
self._default_work_thread_pool.shutdown()
# get_responses may be blocked on responses.get(), but we need to return
# control to its caller.
responses.put(no_more_work)
self._data_channel_factory.close()
state_handler.done()
logging.info('Done consuming work.')
