[jira] [Created] (ARROW-2367) ListArray has trouble with sizes greater than kMaximumCapacity

["Bryant Menn (JIRA)" <ji...@apache.org>]

Bryant Menn created ARROW-2367:
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             Summary: ListArray has trouble with sizes greater than kMaximumCapacity
                 Key: ARROW-2367
                 URL: https://issues.apache.org/jira/browse/ARROW-2367
             Project: Apache Arrow
          Issue Type: Bug
          Components: Python
    Affects Versions: 0.9.0
            Reporter: Bryant Menn


When creating a Pandas dataframe with lists as elements as a column the following error occurs when converting to a {{pyarrow.Table}} object.
{code}
Traceback (most recent call last):
File "arrow-2227.py", line 16, in <module>
arr = pa.array(df['strings'], from_pandas=True)
File "array.pxi", line 177, in pyarrow.lib.array
File "error.pxi", line 77, in pyarrow.lib.check_status
File "error.pxi", line 77, in pyarrow.lib.check_status
pyarrow.lib.ArrowInvalid: BinaryArray cannot contain more than 2147483646 bytes, have 2147483647
{code}

The following code was used to generate the error (adapted from ARROW-2227):
{code}
import pandas as pd
import pyarrow as pa

# Commented lines were used to test non-binary data types, both cause the same error
v1 = b'x' * 100000000
v2 = b'x' * 147483646
# v1 = 'x' * 100000000
# v2 = 'x' * 147483646

df = pd.DataFrame({
     'strings': [[v1]] * 20 + [[v2]] + [[b'x']]
     # 'strings': [[v1]] * 20 + [[v2]] + [['x']]
})
arr = pa.array(df['strings'], from_pandas=True)
assert isinstance(arr, pa.ChunkedArray), type(arr)
{code}
Code was run using Python 3.6 with PyArrow installed from conda-forge on macOS High Sierra.



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