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https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=393935&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-393935
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ASF GitHub Bot logged work on BEAM-8335:
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Author: ASF GitHub Bot
Created on: 27/Feb/20 03:17
Start Date: 27/Feb/20 03:17
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on issue #10915: [BEAM-8335] Add
PCollection to DataFrame logic for InteractiveRunner.
URL: https://github.com/apache/beam/pull/10915#issuecomment-591758254
Hey Robert, you'll notice that this implementation is quite different than
what we talked about. When going trying to implement flattening columns from
nested values, the logic just kept getting more and more complicated. If we
have a rule of "use named tuples for columns names", this is a much simpler
rule for them to memorize when using the interactive runner. A future fix can
be to add a tabular data type (i.e. Schemas) to the type hints.
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Issue Time Tracking
-------------------
Worklog Id: (was: 393935)
Time Spent: 76.5h (was: 76h 20m)
> 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: 76.5h
> 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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