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https://issues.apache.org/jira/browse/BEAM-7926?focusedWorklogId=397099&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-397099
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ASF GitHub Bot logged work on BEAM-7926:
----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Mar/20 22:50
Start Date: 03/Mar/20 22:50
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#discussion_r387285131
##########
File path: sdks/python/apache_beam/runners/interactive/interactive_beam.py
##########
@@ -86,10 +85,57 @@ def capture_duration(self, value):
# The next PCollection evaluation will capture fresh data from sources,
# and the data captured will be replayed until another eviction.
"""
+ assert value.total_seconds() > 0, 'Duration must be a positive value.'
self.capture_control._capture_duration = value
# TODO(BEAM-8335): add capture_size options when they are supported.
+ @property
+ def display_timestamp_format(self):
+ """The format in which timestamps are displayed.
+
+ Default is '%Y-%m-%d %H:%M:%S.%f%z', e.g. 2020-02-01 15:05:06.000015-08:00.
Review comment:
docstrings in this module are for notebook users. So keeping them here
allows `Shift+Tab` in notebooks to invoke the docstrings pop up. They function
as in-notebook user guide.
The default is defined in the `interactive_options` module where we hide the
implementation details that are not exposed APIs.
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Issue Time Tracking
-------------------
Worklog Id: (was: 397099)
Time Spent: 51h 20m (was: 51h 10m)
> 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: 51h 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
>
> {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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