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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=352296&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-352296
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ASF GitHub Bot logged work on BEAM-8335:
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Author: ASF GitHub Bot
Created on: 02/Dec/19 23:20
Start Date: 02/Dec/19 23:20
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_r352912020
##########
File path: sdks/python/apache_beam/runners/interactive/pipeline_instrument.py
##########
@@ -95,17 +120,131 @@ def instrumented_pipeline_proto(self):
"""Always returns a new instance of portable instrumented proto."""
return self._pipeline.to_runner_api(use_fake_coders=True)
+ def _required_components(self, pipeline_proto, required_transforms_ids):
Review comment:
I can change it after your PR goes through
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Issue Time Tracking
-------------------
Worklog Id: (was: 352296)
Time Spent: 39h 40m (was: 39.5h)
> 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 40m
> 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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