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https://issues.apache.org/jira/browse/ARROW-2387?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Phillip Cloud resolved ARROW-2387.
----------------------------------
Resolution: Fixed
Fix Version/s: 0.10.0
Issue resolved by pull request 1832
[https://github.com/apache/arrow/pull/1832]
> negative decimal values get spurious rescaling error
> ----------------------------------------------------
>
> Key: ARROW-2387
> URL: https://issues.apache.org/jira/browse/ARROW-2387
> Project: Apache Arrow
> Issue Type: Bug
> Affects Versions: 0.9.0
> Reporter: ben w
> Assignee: Phillip Cloud
> Priority: Major
> Labels: pull-request-available
> Fix For: 0.10.0
>
>
> {code:java}
> $ python
> Python 2.7.12 (default, Nov 20 2017, 18:23:56)
> [GCC 5.4.0 20160609] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import pyarrow as pa, decimal
> >>> one = decimal.Decimal('1.000000')
> >>> neg_one = decimal.Decimal('-1.000000')
> >>> pa.array([one], pa.decimal128(24, 12))
> <pyarrow.lib.Decimal128Array object at 0x7f7f5ae85cb0>
> [
> Decimal('1.000000000000')
> ]
> >>> pa.array([neg_one], pa.decimal128(24, 12))
> Traceback (most recent call last):
> File "<stdin>", line 1, in <module>
> File "array.pxi", line 181, in pyarrow.lib.array
> File "array.pxi", line 36, in pyarrow.lib._sequence_to_array
> File "error.pxi", line 77, in pyarrow.lib.check_status
> pyarrow.lib.ArrowInvalid: Rescaling decimal value -1000000.000000 from
> original scale of 6 to new scale of 12 would cause data loss
> >>> pa.__version__
> '0.9.0'
> {code}
> not only is the error spurious, the decimal value has been multiplied by one
> million (i.e. 10 ** 6 and 6 is the difference in scales, but this is still
> pretty strange to me).
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