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https://issues.apache.org/jira/browse/BEAM-7926?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Ning Kang updated BEAM-7926:
----------------------------
    Description: 
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.

  was:
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., show(pcoll, pcoll2)

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.


> 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: 19h 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.



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