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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=352276&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-352276
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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_r352901487
##########
File path: sdks/python/apache_beam/runners/interactive/pipeline_instrument.py
##########
@@ -205,7 +351,7 @@ def _process(self, pcoll):
v = PreprocessVisitor(self)
self._pipeline.visit(v)
- def _write_cache(self, pcoll):
+ def _write_cache(self, pipeline, pcoll):
Review comment:
The PipelineInstrument now can create two pipelines, the background caching
pipeline and the pipeline fragment. This _write_cache needs to be generalized
to be able to work on different pipelines (not just self._pipeline), hence the
change.
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Issue Time Tracking
-------------------
Worklog Id: (was: 352276)
Time Spent: 39h (was: 38h 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: 39h
> 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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