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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=353058&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-353058
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ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Dec/19 22:33
Start Date: 03/Dec/19 22:33
Worklog Time Spent: 10m
Work Description: KevinGG commented on pull request #10276: [BEAM-7926]
Data-centric Interactive Part1
URL: https://github.com/apache/beam/pull/10276
1. Changed Beam Python SDK’s pipeline transform apply() logic to
implicitly alter the label of top-level transform to be applied with
ipython-prompt metadata when the code execution is in ipython and during
user-defined pipeline construction time.
2. The users can observe what pieces of code are in-effect by looking at
the labels of applied PTransforms. Thus they can avoid broken in-memory
states due to notebook cell-re-execution/cell-deletion/hidden-states.
3. Allow duplicate PTransform labels in different cells when the user
constructs a pipeline under an ipython/notebook environment because the
label altering de-duplicates the labels.
4. Created common testing package and modules: Created a mock ipython
kernel for testing; Made pipeline assertion a common testing module.
5. Updated tests for ipython related scenarios in a mocked ipython
environment.
6. Updated the example notebook.
------------------------
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| --- | --- | ---
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Issue Time Tracking
-------------------
Worklog Id: (was: 353058)
Time Spent: 20h 50m (was: 20h 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: 20h 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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