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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=396483&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-396483
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Mar/20 23:32
            Start Date: 02/Mar/20 23:32
    Worklog Time Spent: 10m 
      Work Description: pabloem commented on pull request #10497: [BEAM-8335] 
Add the ReverseTestStream
URL: https://github.com/apache/beam/pull/10497#discussion_r386714777
 
 

 ##########
 File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py
 ##########
 @@ -471,7 +517,14 @@ def process_element(self, element):
     # We can either have the _TestStream or the _WatermarkController to emit
     # the elements. We chose to emit in the _WatermarkController so that the
     # element is emitted at the correct watermark value.
-    for event in self.test_stream.events(self.current_index):
+    events = []
+    if self.watermark == MIN_TIMESTAMP:
 
 Review comment:
   I wonder if we intend this to only be called once - and if it's possible for 
it to be called more than once.
   In our discussion, it seems that:
   1) It is possible for this to be called more than once - right?
   2) It may be okay for it to be called more htan once.
   
   Let's confirm which of those are true
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 396483)
    Time Spent: 79h 20m  (was: 79h 10m)

> 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: 79h 20m
>  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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