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Posted to issues@arrow.apache.org by "Wes McKinney (JIRA)" <ji...@apache.org> on 2018/02/12 19:46:00 UTC

[jira] [Resolved] (ARROW-2133) [Python] Segmentation fault on conversion of empty nested arrays to Pandas

     [ https://issues.apache.org/jira/browse/ARROW-2133?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Wes McKinney resolved ARROW-2133.
---------------------------------
    Resolution: Fixed

Issue resolved by pull request 1591
[https://github.com/apache/arrow/pull/1591]

> [Python] Segmentation fault on conversion of empty nested arrays to Pandas
> --------------------------------------------------------------------------
>
>                 Key: ARROW-2133
>                 URL: https://issues.apache.org/jira/browse/ARROW-2133
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>            Reporter: Uwe L. Korn
>            Assignee: Antoine Pitrou
>            Priority: Major
>              Labels: pull-request-available
>             Fix For: 0.9.0
>
>
> After resolving https://issues.apache.org/jira/browse/ARROW-2129, we still cannot convert empty nested arrays to Pandas. It fails with the following backtrace:
> {code:java}
> (gdb) bt
> #0 PyErr_Restore (type=type@entry=0x0, value=value@entry=0x0, traceback=traceback@entry=0x0) at Python/errors.c:42
> #1 0x00007ffff7a1c48b in PyErr_Clear () at Python/errors.c:355
> #2 0x00007ffff7959320 in PyDict_GetItem (op=0x7fffe831df78, key=key@entry=0x7fffec8873f0) at Objects/dictobject.c:1417
> #3 0x00007ffff0278e89 in _buffer_clear_info (arr=0x7fffe37f52b0)
> from /home/uwe/miniconda3/envs/pyarrow-dev/lib/python3.6/site-packages/numpy/core/multiarray.cpython-36m-x86_64-linux-gnu.so
> #4 _array_dealloc_buffer_info (self=self@entry=0x7fffe37f52b0) at numpy/core/src/multiarray/buffer.c:776
> #5 0x00007ffff022b0de in array_dealloc (self=0x7fffe37f52b0)
> from /home/uwe/miniconda3/envs/pyarrow-dev/lib/python3.6/site-packages/numpy/core/multiarray.cpython-36m-x86_64-linux-gnu.so
> #6 0x00007ffff172af72 in arrow::py::OwnedRef::reset (obj=0x0, this=0x7fffffff3760) at ../src/arrow/python/common.h:75
> #7 arrow::py::OwnedRef::reset (this=0x7fffffff3760) at ../src/arrow/python/common.h:79
> #8 0x00007ffff174220e in arrow::py::OwnedRef::~OwnedRef (this=0x7fffffff3760, __in_chrg=<optimized out>) at ../src/arrow/python/common.h:72
> #9 arrow::py::ConvertListsLike<arrow::Int64Type> (options=..., col=std::shared_ptr (count 2, weak 0) 0x10b0ca0, out_values=<optimized out>,
> out_values@entry=0xf793d0) at ../src/arrow/python/arrow_to_pandas.cc:522
> #10 0x00007ffff173d833 in arrow::py::ArrowDeserializer::Visit (this=this@entry=0x7fffffff3aa0, type=...) at ../src/arrow/python/arrow_to_pandas.cc:1708
> #11 0x00007ffff173dc0b in arrow::VisitTypeInline<arrow::py::ArrowDeserializer> (type=..., visitor=visitor@entry=0x7fffffff3aa0)
> at ../src/arrow/visitor_inline.h:59
> #12 0x00007ffff1728063 in arrow::py::ArrowDeserializer::Convert (out=0x7fffffff3ba8, this=0x7fffffff3aa0) at ../src/arrow/python/arrow_to_pandas.cc:1744
> #13 arrow::py::ConvertColumnToPandas (options=..., options@entry=..., col=std::shared_ptr (count 2, weak 0) 0x10b0ca0, py_ref=py_ref@entry=0x7fffe37d4ea8,
> out=out@entry=0x7fffffff3ba8) at ../src/arrow/python/arrow_to_pandas.cc:1769
> #14 0x00007ffff17282e6 in arrow::py::ConvertArrayToPandas (options=..., arr=std::shared_ptr (count 2, weak 0) 0xfe9960, py_ref=0x7fffe37d4ea8,
> out=0x7fffffff3ba8) at ../src/arrow/python/arrow_to_pandas.cc:1763
> #15 0x00007ffff211b594 in __pyx_pw_7pyarrow_3lib_5Array_26to_pandas(_object*, _object*, _object*) ()
> from /home/uwe/Development/arrow-repos-1/arrow/python/pyarrow/lib.cpython-36m-x86_64-linux-gnu.so
> #16 0x00007ffff7967ded in _PyCFunction_FastCallDict (func_obj=func_obj@entry=0x7ffff62921b0, args=args@entry=0x11d2bd8, nargs=<optimized out>,
> kwargs=kwargs@entry=0x0) at Objects/methodobject.c:231{code}



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