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Alessandro Molina commented on ARROW-11780: ------------------------------------------- Confirmed I was able to reproduce the issue and saw the same behaviour {code:java} * frame #0: 0x000000010534d03c libarrow.400.dylib`std::__1::shared_ptr<arrow::ArrayData>::operator->(this=0x0000000000000008) const at memory:3930:56 frame #1: 0x000000010534fa27 libarrow.400.dylib`arrow::Array::type(this=0x0000000000000000) const at array_base.h:86:51 frame #2: 0x0000000105416bea libarrow.400.dylib`arrow::StructArray::Make(children=size=2, field_names=size=2, null_bitmap=nullptr, null_count=-1, offset=0) at array_nested.cc:501:61 frame #3: 0x000000010510ed09 lib.cpython-39-darwin.so`__pyx_pf_7pyarrow_3lib_11StructArray_4from_arrays(_object*, _object*, _object*) + 6057 {code} > [C++][Python] StructArray.from_arrays() crashes Python interpreter > ------------------------------------------------------------------ > > Key: ARROW-11780 > URL: https://issues.apache.org/jira/browse/ARROW-11780 > Project: Apache Arrow > Issue Type: Bug > Components: C++, Python > Affects Versions: 3.0.0 > Reporter: ARF > Assignee: Weston Pace > Priority: Major > > {{StructArray.from_arrays()}} crashes the Python interpreter without error > message: > {code:none} > (test_pyarrow) Z:\test_pyarrow>python > Python 3.8.5 (default, Sep 3 2020, 21:29:08) [MSC v.1916 64 bit (AMD64)] :: > Anaconda, Inc. on win32 > Type "help", "copyright", "credits" or "license" for more information. > >>> import pyarrow as pa > >>> > >>> table = pa.Table.from_pydict({ > ... 'foo': pa.array([1, 2, 3]), > ... 'bar': pa.array([4, 5, 6]) > ... }) > >>> > >>> pa.StructArray.from_arrays([table['foo'], table['bar']], ['foo', 'bar']) > (test_pyarrow) Z:\test_pyarrow> > {code} -- This message was sent by Atlassian Jira (v8.3.4#803005)