[
https://issues.apache.org/jira/browse/BEAM-9608?focusedWorklogId=411446&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-411446
]
ASF GitHub Bot logged work on BEAM-9608:
----------------------------------------
Author: ASF GitHub Bot
Created on: 27/Mar/20 22:42
Start Date: 27/Mar/20 22:42
Worklog Time Spent: 10m
Work Description: pabloem commented on pull request #11229: [BEAM-9608]
Increasing scope of context managers for FnApiRunner
URL: https://github.com/apache/beam/pull/11229#discussion_r399570237
##########
File path:
sdks/python/apache_beam/runners/portability/fn_api_runner/execution.py
##########
@@ -245,37 +254,106 @@ class FnApiRunnerExecutionContext(object):
``beam.PCollection``.
"""
def __init__(self,
- worker_handler_factory, # type: Callable[[Optional[str], int],
List[WorkerHandler]]
+ worker_handler_manager, # type: worker_handlers.WorkerHandlerManager
pipeline_components, # type: beam_runner_api_pb2.Components
safe_coders,
data_channel_coders,
):
"""
- :param worker_handler_factory: A ``callable`` that takes in an environment
+ :param worker_handler_manager: A ``callable`` that takes in an environment
id and a number of workers, and returns a list of ``WorkerHandler``s.
:param pipeline_components: (beam_runner_api_pb2.Components): TODO
:param safe_coders:
:param data_channel_coders:
"""
self.pcoll_buffers = {} # type: MutableMapping[bytes, PartitionableBuffer]
- self.worker_handler_factory = worker_handler_factory
+ self.worker_handler_manager = worker_handler_manager
self.pipeline_components = pipeline_components
self.safe_coders = safe_coders
self.data_channel_coders = data_channel_coders
+ self.pipeline_context = pipeline_context.PipelineContext(
+ self.pipeline_components,
+ iterable_state_write=self._iterable_state_write)
+ self._last_uid = -1
+
+ def next_uid(self):
+ self._last_uid += 1
+ return str(self._last_uid)
+
+ def _iterable_state_write(self, values, element_coder_impl):
+ # type: (...) -> bytes
+ token = unique_name(None, 'iter').encode('ascii')
+ out = create_OutputStream()
+ for element in values:
+ element_coder_impl.encode_to_stream(element, out, True)
+ self.worker_handler_manager.state_servicer.append_raw(
+ beam_fn_api_pb2.StateKey(
+ runner=beam_fn_api_pb2.StateKey.Runner(key=token)),
+ out.get())
+ return token
+
class BundleContextManager(object):
def __init__(self,
- execution_context, # type: FnApiRunnerExecutionContext
- process_bundle_descriptor, # type:
beam_fn_api_pb2.ProcessBundleDescriptor
- worker_handler, # type: fn_runner.WorkerHandler
- p_context, # type: pipeline_context.PipelineContext
- ):
+ execution_context, # type: FnApiRunnerExecutionContext
+ stage, # type: translations.Stage
+ num_workers, # type: int
+ ):
self.execution_context = execution_context
- self.process_bundle_descriptor = process_bundle_descriptor
- self.worker_handler = worker_handler
- self.pipeline_context = p_context
+ self.stage = stage
+ self.bundle_uid = self.execution_context.next_uid()
+ self.num_workers = num_workers
+
+ # Properties that are lazily initialized
+ self._process_bundle_descriptor = None
+ self._worker_handlers = None
+
+ @property
+ def worker_handlers(self):
+ if self._worker_handlers is None:
+ self._worker_handlers = self.execution_context.worker_handler_manager\
+ .get_worker_handlers(self.stage.environment, self.num_workers)
+ return self._worker_handlers
+
+ def data_api_service_descriptor(self):
+ # All worker_handlers share the same grpc server, so we can read grpc
server
+ # info from any worker_handler and read from the first worker_handler.
+ return next(iter(self.worker_handlers)).data_api_service_descriptor()
Review comment:
Done.
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Issue Time Tracking
-------------------
Worklog Id: (was: 411446)
Time Spent: 1h 50m (was: 1h 40m)
> Add context managers for FnApiRunner to manage execution of each bundle
> -----------------------------------------------------------------------
>
> Key: BEAM-9608
> URL: https://issues.apache.org/jira/browse/BEAM-9608
> Project: Beam
> Issue Type: Sub-task
> Components: sdk-py-core
> Reporter: Pablo Estrada
> Assignee: Pablo Estrada
> Priority: Major
> Time Spent: 1h 50m
> Remaining Estimate: 0h
>
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