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Phillip Cloud commented on ARROW-2387: -------------------------------------- Thanks for the report. > 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 > > {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). -- This message was sent by Atlassian JIRA (v7.6.3#76005)