[ 
https://issues.apache.org/jira/browse/ARROW-6520?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Furkan Tektas updated ARROW-6520:
---------------------------------
    Environment: 
python(3.7.3), pyarrow(0.14.1), arrow-cpp(0.14.1), parquet-cpp(1.5.1), Arch 
Linux x86_64


  was:
Arch Linux x86_64
arrow-cpp                 0.14.1           py37h6b969ab_1    conda-forge
parquet-cpp               1.5.1                         2    conda-forge
pyarrow                   0.14.1           py37h8b68381_0    conda-forge
python                    3.7.3                h33d41f4_1    conda-forge



> Segmentation fault on writing tables with fixed size binary fields 
> -------------------------------------------------------------------
>
>                 Key: ARROW-6520
>                 URL: https://issues.apache.org/jira/browse/ARROW-6520
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.14.1
>         Environment: python(3.7.3), pyarrow(0.14.1), arrow-cpp(0.14.1), 
> parquet-cpp(1.5.1), Arch Linux x86_64
>            Reporter: Furkan Tektas
>            Priority: Critical
>              Labels: newbie
>
> I'm not sure if this should be reported to Parquet or here.
> When I tried to serialize a pyarrow table with a fixed size binary field 
> (holds 16 byte UUID4 information) to a parquet file, segmentation fault 
> occurs.
> Here is the minimal example to reproduce:
> {{import pyarrow as pa}}
> {{from pyarrow import parquet as pq}}
> {{data = \{"col": pa.array([b"1234" for _ in range(10)])}}}
> {{fields = [("col", pa.binary(4))]}}
> {{schema = pa.schema(fields)}}
> {{table = pa.table(data, schema)}}
> {{pq.write_table(table, "test.parquet")}}
> {{segmentation fault (core dumped) ipython}}
>  
> Yet, it works if I don't specify the size of the binary field.
> {{import pyarrow as pa}}
> {{from pyarrow import parquet as pq}}
> {{data = \{"col": pa.array([b"1234" for _ in range(10)])}}}
> {{fields = [("col", pa.binary())]}}
> {{schema = pa.schema(fields)}}
> {{table = pa.table(data, schema)}}
> {{pq.write_table(table, "test.parquet")}}
> Thanks,



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