[ARROW-2367] [Python] ListArray has trouble with sizes greater than kMaximumCapacity

• Type: Bug
• Status: Resolved
• Priority: Major
• Resolution: Fixed
• Affects Version/s: 0.9.0
• Fix Version/s: 2.0.0
• Component/s: Python
• External issue URL: https://github.com/apache/arrow/issues/18361
• Assignee: Krisztian Szucs
• Reporter: Bryant Menn
• Created: 29/Mar/18 19:21
• Updated: 11/Jan/23 07:20
• Resolved: 28/Sep/20 09:22

Description

When creating a Pandas dataframe with lists as elements as a column the following error occurs when converting to a pyarrow.Table object.

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

The following code was used to generate the error (adapted from ARROW-2227):

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 was run using Python 3.6 with PyArrow installed from conda-forge on macOS High Sierra.

Issue Links

• is fixed by: ARROW-9992 [C++][Python] Refactor python to arrow conversions based on a reusable conversion API
• relates to: ARROW-6281 [Python] Produce chunked arrays for nested types in pyarrow.array