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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=330828&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-330828
]
ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 19/Oct/19 00:10
Start Date: 19/Oct/19 00:10
Worklog Time Spent: 10m
Work Description: KevinGG commented on pull request #9741: [BEAM-7926]
Visualize PCollection
URL: https://github.com/apache/beam/pull/9741#discussion_r336711748
##########
File path: sdks/python/setup.py
##########
@@ -219,11 +227,15 @@ def run(self):
install_requires=REQUIRED_PACKAGES,
python_requires=python_requires,
test_suite='nose.collector',
- tests_require=REQUIRED_TEST_PACKAGES,
+ tests_require=[
+ REQUIRED_TEST_PACKAGES,
+ INTERACTIVE_BEAM,
Review comment:
Because there are unit tests around interactive beam packages.
When those packages are under REQUIRED_PACKAGES, they are always installed
and available during tests.
Once we move them into an extras_require, they are not installed nor
available during tests anymore.
For example, *-gcp tests will install [gcp,test] to pick up the
extras_package GCP_REQUIREMENTS.
Since we don't have/need *-interactive test suites, we can make the group to
always be installed as required test packages for tests.
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Issue Time Tracking
-------------------
Worklog Id: (was: 330828)
Time Spent: 6h 20m (was: 6h 10m)
> Visualize PCollection with Interactive Beam
> -------------------------------------------
>
> 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: 6h 20m
> Remaining Estimate: 0h
>
> Support auto plotting / charting of materialized data of a given PCollection
> with Interactive Beam.
> Say an Interactive Beam pipeline defined as
> p = create_pipeline()
> pcoll = p | 'Transform' >> transform()
> The use can call a single function and get auto-magical charting of the data
> as materialized pcoll.
> e.g., visualize(pcoll)
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