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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=390175&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-390175
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 20/Feb/20 19:01
            Start Date: 20/Feb/20 19:01
    Worklog Time Spent: 10m 
      Work Description: KevinGG commented on pull request #10899: [BEAM-8335] 
Background Caching job
URL: https://github.com/apache/beam/pull/10899#discussion_r382196015
 
 

 ##########
 File path: 
sdks/python/apache_beam/runners/interactive/background_caching_job.py
 ##########
 @@ -132,7 +256,22 @@ def is_source_to_cache_changed(user_pipeline):
   is_changed = not current_signature.issubset(recorded_signature)
   # The computation of extract_unbounded_source_signature is expensive, track 
on
   # change by default.
-  if is_changed:
+  if is_changed and update_cached_source_signature:
+    if ie.current_env().options.enable_capture_replay:
+      if not recorded_signature:
+        _LOGGER.info(
+            'Interactive Beam has detected you have unbounded sources '
+            'in your pipeline. In order to have a deterministic replay '
+            'of your pipeline: {}'.format(
 
 Review comment:
   Got it, make it a full sentence.
   
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 390175)
    Time Spent: 68h 10m  (was: 68h)

> 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: 68h 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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