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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=396502&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-396502
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ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Mar/20 00:05
Start Date: 03/Mar/20 00:05
Worklog Time Spent: 10m
Work Description: KevinGG commented on pull request #11020: [BEAM-7926]
Update Data Visualization
URL: https://github.com/apache/beam/pull/11020
1. Added include_window_info and visualize_data as **kwargs passed into
`show`.
2. Updated javascripts to make the data visualization smooth and
resilient to DOM changes. Now datatable is loaded dynamically without
flickering nor changing of user's page/search state; javascripts also
work when refreshing the browser.
3. Resolved the jQuery+Datatable loading issue by forcing chained
loading. Any customized javascripts relying on jQuery should only use
`window.jquery341`. Always carry out a check for `window.jquery341`.
Run javascripts in the last onload of the jQuery loading chain if
`window.jquery341` is not available.
4. All HTML imports are chained at onload of webcomponents (if HTML import
is not supported) or plainly imported (if HTML import supported) in a
single place in document.head. This makes HTML import resilient to
DOM changes caused by normal notebook usages.
5. Updated some logging statements.
6. Added `show_graph` API to render DAG of a pipeline. `pipeline.run`
does not render DAG now.
Change-Id: Id2ca548860fb2d30e1557a35e7b14d2e61b5f1a4
**Please** add a meaningful description for your change here
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Issue Time Tracking
-------------------
Worklog Id: (was: 396502)
Time Spent: 49h (was: 48h 50m)
> 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: 49h
> 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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