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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=397011&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397011
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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_r387267059
 
 

 ##########
 File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py
 ##########
 @@ -421,8 +440,12 @@ def process_element(self, element):
       main_output = list(self._outputs)[0]
       bundle = self._evaluation_context.create_bundle(main_output)
       for tv in event.timestamped_values:
-        bundle.output(
-            GlobalWindows.windowed_value(tv.value, timestamp=tv.timestamp))
+        # Unreify the value into the correct window.
+        try:
+          bundle.output(WindowedValue(**tv.value))
 
 Review comment:
   This is fragile--we should not be (attempting to) interpret values as dicts 
of windowed value parameters and creating globally windowed values if anything 
goes wrong. Instead, store the WindowedValue object in tv.value. 
(Alternatively, one could let `events` be full WindowedValues rather than 
TimestampedValues, but that might be a bigger change.)
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 397011)
    Time Spent: 83h 40m  (was: 83.5h)

> 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 40m
>  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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