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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=359031&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-359031
 ]

ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 13/Dec/19 00:11
            Start Date: 13/Dec/19 00:11
    Worklog Time Spent: 10m 
      Work Description: rohdesamuel commented on pull request #10368: 
[BEAM-8335] Modify PipelineInstrument to add TestStream for unbounded 
PCollections
URL: https://github.com/apache/beam/pull/10368#discussion_r357431194
 
 

 ##########
 File path: 
sdks/python/apache_beam/runners/interactive/pipeline_instrument_test.py
 ##########
 @@ -31,10 +31,12 @@
 from apache_beam.runners.interactive import interactive_environment as ie
 from apache_beam.runners.interactive import pipeline_instrument as instr
 from apache_beam.runners.interactive import interactive_runner
+from apache_beam.runners.interactive.caching import streaming_cache
 from apache_beam.runners.interactive.testing.pipeline_assertion import 
assert_pipeline_equal
 from apache_beam.runners.interactive.testing.pipeline_assertion import 
assert_pipeline_proto_equal
+from apache_beam.testing.test_stream import TestStream
 
-# Work around nose tests using Python2 without unittest.mock module.
 
 Review comment:
   Yep, thanks
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 359031)
    Time Spent: 45h 50m  (was: 45h 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: 45h 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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