[
https://issues.apache.org/jira/browse/BEAM-13335?focusedWorklogId=688124&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-688124
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ASF GitHub Bot logged work on BEAM-13335:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 30/Nov/21 16:00
Start Date: 30/Nov/21 16:00
Worklog Time Spent: 10m
Work Description: TheNeuralBit edited a comment on pull request #16066:
URL: https://github.com/apache/beam/pull/16066#issuecomment-982775542
Looks like this broke TaxirideIT:
```
File "/usr/local/lib/python3.6/site-packages/apache_beam/dataframe/io.py",
line 211, in _shift_range_index
E return df.set_index(df.index + offset)
E File
"/usr/local/lib/python3.6/site-packages/pandas/core/frame.py", line 4614, in
set_index
E index._cleanup()
E File
"/usr/local/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 552,
in _cleanup
E self._engine.clear_mapping()
E File "pandas/_libs/properties.pyx", line 33, in
pandas._libs.properties.CachedProperty.__get__
E File
"/usr/local/lib/python3.6/site-packages/pandas/core/indexes/base.py", line 560,
in _engine
E target_values = self._get_engine_target()
E File
"/usr/local/lib/python3.6/site-packages/pandas/core/indexes/base.py", line
3903, in _get_engine_target
E return self._values
E File
"/usr/local/lib/python3.6/site-packages/pandas/core/indexes/base.py", line
3897, in _values
E return self._data
E File
"/usr/local/lib/python3.6/site-packages/pandas/core/indexes/range.py", line
164, in _data
E self.start, self.stop, self.step, dtype=np.int64
E OverflowError: Python int too large to convert to C long [while
running '_ReadFromPandas/ParDo(_ReadFromPandasDoFn)/ParDo(_ReadFromPandasDoFn)
```
https://ci-beam.apache.org/job/beam_PostCommit_Python36/4664/testReport/junit/apache_beam.examples.dataframe.taxiride_it_test/TaxirideIT/test_aggregation/
The issue seems to be that this implementation maps on to an unsigned int64,
but pandas indices are signed int64 by default. I can send a patch to fix.
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Issue Time Tracking
-------------------
Worklog Id: (was: 688124)
Time Spent: 2.5h (was: 2h 20m)
> DataFrame sources produce excessively large index
> -------------------------------------------------
>
> Key: BEAM-13335
> URL: https://issues.apache.org/jira/browse/BEAM-13335
> Project: Beam
> Issue Type: Improvement
> Components: dsl-dataframe
> Reporter: Brian Hulette
> Assignee: Robert Bradshaw
> Priority: P2
> Fix For: 2.36.0
>
> Time Spent: 2.5h
> Remaining Estimate: 0h
>
> DataFrame reads attempt to match user expectations by giving every element
> across all
> shards a unique index. This is done by embedding the filepath
> itself in the index, but this results in the (often quite long) path
> being duplicated for every element (sometimes exceeding the size of the
> data itself).
> We should instead generate a guaranteed unique _numeric_ index.
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