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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=399468&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-399468
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ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 07/Mar/20 00:35
Start Date: 07/Mar/20 00:35
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #11005:
[BEAM-8335] Modify the StreamingCache to subclass the CacheManager
URL: https://github.com/apache/beam/pull/11005#discussion_r389205758
##########
File path: sdks/python/apache_beam/runners/direct/transform_evaluator.py
##########
@@ -500,23 +523,21 @@ def __init__(
input_committed_bundle,
side_inputs)
self.test_stream = applied_ptransform.transform
+ self.event_index = 0
Review comment:
Removed this. Also, the is_done is needed because of the small cleanup.
There used to be a weird C++ iterator style on the TestStream object to get the
event. So there needs to be a small state variable from the process_elements
call to the finish_bundle call informing itself if there are any more elements
to process.
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Issue Time Tracking
-------------------
Worklog Id: (was: 399468)
Time Spent: 101h (was: 100h 50m)
> 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: 101h
> 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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