[
https://issues.apache.org/jira/browse/BEAM-9577?focusedWorklogId=412577&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-412577
]
ASF GitHub Bot logged work on BEAM-9577:
----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Mar/20 21:00
Start Date: 30/Mar/20 21:00
Worklog Time Spent: 10m
Work Description: lukecwik commented on pull request #11203: [BEAM-9577]
Define and implement dependency-aware artifact staging service.
URL: https://github.com/apache/beam/pull/11203#discussion_r400476127
##########
File path: sdks/python/apache_beam/runners/portability/artifact_service.py
##########
@@ -263,3 +279,205 @@ def _open(self, path, mode='r'):
return filesystems.FileSystems.create(path)
else:
return filesystems.FileSystems.open(path)
+
+
+# The dependency-aware artifact staging and retrieval services.
+
+
+def _queue_iter(queue, end_token):
+ while True:
+ item = queue.get()
+ if item is end_token:
+ break
+ yield item
+
+
+class ArtifactRetrievalService(
+ beam_artifact_api_pb2_grpc.ArtifactRetrievalServiceServicer):
+
+ _DEFAULT_CHUNK_SIZE = 2 << 20
+
+ def __init__(
+ self,
+ file_reader, # type: Callable[[str], BinaryIO],
+ chunk_size=None,
+ ):
+ self._file_reader = file_reader
+ self._chunk_size = chunk_size or self._DEFAULT_CHUNK_SIZE
+
+ def ResolveArtifact(self, request, context=None):
+ return beam_artifact_api_pb2.ResolveArtifactResponse(
+ replacements=request.artifacts)
+
+ def GetArtifact(self, request, context=None):
+ if request.artifact.type_urn == common_urns.artifact_types.FILE.urn:
+ payload = proto_utils.parse_Bytes(
+ request.artifact.type_payload,
+ beam_runner_api_pb2.ArtifactFilePayload)
+ read_handle = self._file_reader(payload.path)
+ elif request.artifact.type_urn == common_urns.artifact_types.URL.urn:
+ payload = proto_utils.parse_Bytes(
+ request.artifact.type_payload,
beam_runner_api_pb2.ArtifactUrlPayload)
+ # TODO(Py3): Remove the unneeded contextlib wrapper.
+ read_handle = contextlib.closing(urlopen(payload.path))
+ elif request.artifact.type_urn == common_urns.artifact_types.EMBEDDED.urn:
+ payload = proto_utils.parse_Bytes(
+ request.artifact.type_payload,
+ beam_runner_api_pb2.EmbeddedFilePayload)
+ read_handle = BytesIO(payload.data)
+ else:
+ raise NotImplementedError(request.artifact.type_urn)
+
+ with read_handle as fin:
+ while True:
+ chunk = fin.read(self._chunk_size)
+ if not chunk:
+ break
+ yield beam_artifact_api_pb2.GetArtifactResponse(data=chunk)
+
+
+class ArtifactStagingService(
+ beam_artifact_api_pb2_grpc.ArtifactStagingServiceServicer):
+ def __init__(
+ self,
+ file_writer, # type: Callable[[str, Optional[str]], Tuple[BinaryIO,
str]]
+ ):
+ self._lock = threading.Lock()
+ self._jobs_to_stage = {}
+ self._file_writer = file_writer
+
+ def register_job(self, staging_token, dependencies):
+ self._jobs_to_stage[staging_token] = list(dependencies), threading.Event()
+
+ def resolved_deps(self, staging_token, timeout=None):
+ dependencies_list, event = self._jobs_to_stage[staging_token]
+ try:
+ if not event.wait(timeout):
+ raise concurrent.futures.TimeoutError()
+ return dependencies_list
+ finally:
+ del self._jobs_to_stage[staging_token]
+
+ def ReverseArtifactRetrievalService(self, responses, context=None):
+ staging_token = next(responses).staging_token
+ dependencies, event = self._jobs_to_stage[staging_token]
+
+ requests = queue.Queue()
+
+ class FakeRetrievalService(object):
Review comment:
nit: FakeRetrievalService -> ForwardingRetrievalService
or ProxyingRetrievalService
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Issue Time Tracking
-------------------
Worklog Id: (was: 412577)
Time Spent: 4.5h (was: 4h 20m)
> Update artifact staging and retrieval protocols to be dependency aware.
> -----------------------------------------------------------------------
>
> Key: BEAM-9577
> URL: https://issues.apache.org/jira/browse/BEAM-9577
> Project: Beam
> Issue Type: Improvement
> Components: beam-model
> Reporter: Robert Bradshaw
> Assignee: Robert Bradshaw
> Priority: Major
> Time Spent: 4.5h
> Remaining Estimate: 0h
>
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