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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=376688&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-376688
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ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 24/Jan/20 01:40
Start Date: 24/Jan/20 01:40
Worklog Time Spent: 10m
Work Description: KevinGG commented on issue #10346: [BEAM-7926]
Data-centric Interactive Part2
URL: https://github.com/apache/beam/pull/10346#issuecomment-577957075
> Filed https://issues.apache.org/jira/browse/BEAM-9183 for the test flake.
Thanks Valentyn. Yes the test doesn't fail when running locally.
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Issue Time Tracking
-------------------
Worklog Id: (was: 376688)
Time Spent: 37h 50m (was: 37h 40m)
> Show PCollection with Interactive Beam in a data-centric user flow
> ------------------------------------------------------------------
>
> Key: BEAM-7926
> URL: https://issues.apache.org/jira/browse/BEAM-7926
> Project: Beam
> Issue Type: New Feature
> Components: runner-py-interactive
> Reporter: Ning Kang
> Assignee: Ning Kang
> Priority: Major
> Time Spent: 37h 50m
> Remaining Estimate: 0h
>
> Support auto plotting / charting of materialized data of a given PCollection
> with Interactive Beam.
> Say an Interactive Beam pipeline defined as
>
> {code:java}
> p = beam.Pipeline(InteractiveRunner())
> pcoll = p | 'Transform' >> transform()
> pcoll2 = ...
> pcoll3 = ...{code}
> The use can call a single function and get auto-magical charting of the data.
> e.g.,
> {code:java}
> show(pcoll, pcoll2)
> {code}
> Throughout the process, a pipeline fragment is built to include only
> transforms necessary to produce the desired pcolls (pcoll and pcoll2) and
> execute that fragment.
> This makes the Interactive Beam user flow data-centric.
>
> Detailed
> [design|https://docs.google.com/document/d/1DYWrT6GL_qDCXhRMoxpjinlVAfHeVilK5Mtf8gO6zxQ/edit#heading=h.v6k2o3roarzz].
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