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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397012&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397012
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Mar/20 20:41
Start Date: 03/Mar/20 20:41
Worklog Time Spent: 10m
Work Description: robertwb commented on pull request #11005: [BEAM-8335]
Modify the StreamingCache to subclass the CacheManager
URL: https://github.com/apache/beam/pull/11005#discussion_r387262044
##########
File path: sdks/python/apache_beam/runners/direct/evaluation_context.py
##########
@@ -273,7 +274,8 @@ def __init__(self,
] # type: List[Tuple[TransformExecutor, Timestamp]]
self._counter_factory = counters.CounterFactory()
self._metrics = DirectMetrics()
-
+ self._test_stream_event_stub = test_stream_event_stub
+ self._test_stream_event_channel = None
Review comment:
Similarly, the test_stream_event_channel doesn't seem a property of the
evaluation context, rather a property of the test stream (evaluator) itself.
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Issue Time Tracking
-------------------
Worklog Id: (was: 397012)
Time Spent: 83h 50m (was: 83h 40m)
> 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: 83h 50m
> 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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