Joris Van den Bossche created ARROW-6157:
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Summary: [Python][C++] UnionArray with invalid data passes
validation / leads to segfaults
Key: ARROW-6157
URL: https://issues.apache.org/jira/browse/ARROW-6157
Project: Apache Arrow
Issue Type: Bug
Components: C++, Python
Reporter: Joris Van den Bossche
>From the Python side, you can create an "invalid" UnionArray:
{code}
binary = pa.array([b'a', b'b', b'c', b'd'], type='binary')
int64 = pa.array([1, 2, 3], type='int64')
types = pa.array([0, 1, 0, 0, 2, 1, 0], type='int8') # <- value of 2 is out
of bound for number of childs
value_offsets = pa.array([0, 0, 2, 1, 1, 2, 3], type='int32')
a = pa.UnionArray.from_dense(types, value_offsets, [binary, int64])
{code}
Eg on conversion to python this leads to a segfault:
{code}
In [7]: a.to_pylist()
Segmentation fault (core dumped)
{code}
On the other hand, doing an explicit validation does not give an error:
{code}
In [8]: a.validate()
{code}
Should the validation raise errors for this case? (the C++ {{ValidateVisitor}}
for UnionArray does nothing)
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