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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=400281&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-400281
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Mar/20 18:23
Start Date: 09/Mar/20 18:23
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #11005:
[BEAM-8335] Modify the StreamingCache to subclass the CacheManager
URL: https://github.com/apache/beam/pull/11005#discussion_r389877508
##########
File path: sdks/python/apache_beam/runners/direct/test_stream_impl.py
##########
@@ -226,17 +237,53 @@ def expand(self, pcoll):
def _infer_output_coder(self, input_type=None, input_coder=None):
return self.coder
- def _events_from_script(self, index):
- yield self._events[index]
-
- def events(self, index):
- return self._events_from_script(index)
-
- def begin(self):
- return 0
-
- def end(self, index):
- return index >= len(self._events)
+ @staticmethod
+ def events_from_script(events):
+ """Yields the in-memory events.
+ """
+ return itertools.chain(events)
- def next(self, index):
- return index + 1
+ @staticmethod
+ def events_from_rpc(endpoint, output_tags, coder):
+ """Yields the events received from the given endpoint.
+ """
+ stub_channel = grpc.insecure_channel(endpoint)
+ stub = beam_runner_api_pb2_grpc.TestStreamServiceStub(stub_channel)
+
+ # Request the PCollections that we are looking for from the service.
+ if list(output_tags) == [None]:
Review comment:
Good point, I changed it to stringify the list then convert 'None' to None
on the service side.
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Issue Time Tracking
-------------------
Worklog Id: (was: 400281)
Time Spent: 102h 10m (was: 102h)
> Add streaming support to Interactive Beam
> -----------------------------------------
>
> Key: BEAM-8335
> URL: https://issues.apache.org/jira/browse/BEAM-8335
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: Major
> Time Spent: 102h 10m
> Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the
> Interactive Beam experience. This will allow users to:
> * Write and run a streaming job in IPython
> * Automatically cache records from unbounded sources
> * Add a replay experience that replays all cached records to simulate the
> original pipeline execution
> * Add controls to play/pause/stop/step individual elements from the cached
> records
> * Add ability to inspect/visualize unbounded PCollections
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