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https://issues.apache.org/jira/browse/BEAM-12388?focusedWorklogId=623217&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-623217
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ASF GitHub Bot logged work on BEAM-12388:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 15/Jul/21 18:48
Start Date: 15/Jul/21 18:48
Worklog Time Spent: 10m
Work Description: codecov[bot] edited a comment on pull request #15146:
URL: https://github.com/apache/beam/pull/15146#issuecomment-876822186
#
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(d2c9eff) will **increase** coverage by `0.03%`.
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@@ Coverage Diff @@
## master #15146 +/- ##
==========================================
+ Coverage 83.78% 83.81% +0.03%
==========================================
Files 439 441 +2
Lines 59237 59592 +355
==========================================
+ Hits 49631 49949 +318
- Misses 9606 9643 +37
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| `84.32% <50.00%> (ø)` | |
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Issue Time Tracking
-------------------
Worklog Id: (was: 623217)
Time Spent: 3h 10m (was: 3h)
> Improve caching experience on InteractiveRunner with dataframes
> ---------------------------------------------------------------
>
> Key: BEAM-12388
> URL: https://issues.apache.org/jira/browse/BEAM-12388
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: P2
> Time Spent: 3h 10m
> Remaining Estimate: 0h
>
> Reusing the default label for to_pcollection when using the interactive
> runner results in caching errors when used with multiple pipelines:
>
>
> {{Traceback (most recent call last):
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/interactive_runner_test.py",
> line 389, in test_dataframes_with_multi_index_get_result
> pd.testing.assert_series_equal(df_expected, ib.collect(deferred_df, n=10))
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/utils.py",
> line 247, in run_within_progress_indicator
> return func(*args, **kwargs)
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/interactive_beam.py",
> line 579, in collect
> recording = recording_manager.record([pcoll], max_n=n,
> max_duration=duration)
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/recording_manager.py",
> line 433, in record
> self._watch(pcolls)
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/runners/interactive/recording_manager.py",
> line 306, in _watch
> for pcoll in to_pcollection(*watched_dataframes,
> always_return_tuple=True):
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/dataframe/convert.py",
> line 196, in to_pcollection
> new_results = {p: extract_input(p)
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/transforms/ptransform.py",
> line 1086, in __ror__
> return self.transform.__ror__(pvalueish, self.label)
> File
> "/home/srohde/Workdir/beam/sdks/python/apache_beam/transforms/ptransform.py",
> line 587, in __ror__
> raise ValueError(
> ValueError: Mixing value from different pipelines not allowed.}}
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