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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=352277&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-352277
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 02/Dec/19 22:49
            Start Date: 02/Dec/19 22:49
    Worklog Time Spent: 10m 
      Work Description: rohdesamuel commented on pull request #10236: 
[BEAM-8335] Add method to PipelineInstrument to create background caching 
pipline
URL: https://github.com/apache/beam/pull/10236#discussion_r352901529
 
 

 ##########
 File path: 
sdks/python/apache_beam/runners/interactive/pipeline_instrument_test.py
 ##########
 @@ -178,14 +183,48 @@ def test_has_unbounded_source(self):
     p = beam.Pipeline(interactive_runner.InteractiveRunner())
     _ = p | 'ReadUnboundedSource' >> beam.io.ReadFromPubSub(
         subscription='projects/fake-project/subscriptions/fake_sub')
-    self.assertTrue(instr.has_unbounded_source(p))
+    self.assertTrue(instr.has_unbounded_sources(p))
 
   def test_not_has_unbounded_source(self):
     p = beam.Pipeline(interactive_runner.InteractiveRunner())
     with tempfile.NamedTemporaryFile(delete=False) as f:
       f.write(b'test')
     _ = p | 'ReadBoundedSource' >> beam.io.ReadFromText(f.name)
-    self.assertFalse(instr.has_unbounded_source(p))
+    self.assertFalse(instr.has_unbounded_sources(p))
+
+  def test_background_caching_pipeline_proto(self):
+    p = beam.Pipeline(interactive_runner.InteractiveRunner())
+
+    # Test that the two ReadFromPubSub are correctly cut out.
+    a = p | 'ReadUnboundedSourceA' >> beam.io.ReadFromPubSub(
+        subscription='projects/fake-project/subscriptions/fake_sub')
+    b = p | 'ReadUnboundedSourceB' >> beam.io.ReadFromPubSub(
+        subscription='projects/fake-project/subscriptions/fake_sub')
+
+    # Add some extra PTransform afterwards to make sure that only the unbounded
+    # sources remain.
+    c = (a, b) | beam.CoGroupByKey()
+    _ = c | beam.Map(lambda x: x)
+
+    instrumenter = instr.PipelineInstrument(p)
+    instrumenter.instrument()
 
 Review comment:
   Ack, changed to instr.pin
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 352277)
    Time Spent: 39h 10m  (was: 39h)

> 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: 39h 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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