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From "Wes McKinney (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (ARROW-601) Some logical types not supported when loading Parquet
Date Sat, 04 Mar 2017 16:48:45 GMT

    [ https://issues.apache.org/jira/browse/ARROW-601?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15895765#comment-15895765
] 

Wes McKinney commented on ARROW-601:
------------------------------------

hi [~saulshanabrook] -- all of the schema mappings are contained in https://github.com/apache/parquet-cpp/blob/master/src/parquet/arrow/schema.cc

what system did you use to create the file? The two problematic types are the DATE (see PARQUET-890)
and the struct "a-group" (the support for nested types is not yet complete -- any interest
in helping with this?). [~xhochy] may have some other comments

> Some logical types not supported when loading Parquet
> -----------------------------------------------------
>
>                 Key: ARROW-601
>                 URL: https://issues.apache.org/jira/browse/ARROW-601
>             Project: Apache Arrow
>          Issue Type: Bug
>          Components: Python
>    Affects Versions: 0.2.0
>            Reporter: Saul Shanabrook
>              Labels: parquet
>             Fix For: 0.3.0
>
>         Attachments: t.parquet
>
>
> When I try to read a parquet file with some logical types in it, pyarrow says they are
not supported:
> {code}
> table = pq.read_table('t.parquet')
> ---------------------------------------------------------------------------
> ArrowException                            Traceback (most recent call last)
> <ipython-input-14-b7190e66bcb5> in <module>()
> ----> 1 table = pq.read_table('parquet/t')
> /opt/conda/lib/python3.5/site-packages/pyarrow/parquet.py in read_table(source, columns,
nthreads, metadata)
>     113 
>     114     pf = ParquetFile(source, metadata=metadata)
> --> 115     return pf.read(columns=columns, nthreads=nthreads)
>     116 
>     117 
> /opt/conda/lib/python3.5/site-packages/pyarrow/parquet.py in read(self, nrows, columns,
nthreads)
>      78 
>      79         return self.reader.read(column_indices=column_indices,
> ---> 80                                 nthreads=nthreads)
>      81 
>      82 
> /opt/conda/lib/python3.5/site-packages/pyarrow/_parquet.pyx in pyarrow._parquet.ParquetReader.read
(/feedstock_root/build_artefacts/pyarrow_1488133203047/work/arrow-f6924ad83bc95741f003830892ad4815ca3b70fd/python/build/temp.linux-x86_64-3.5/_parquet.cxx:7706)()
> /opt/conda/lib/python3.5/site-packages/pyarrow/error.pyx in pyarrow.error.check_status
(/feedstock_root/build_artefacts/pyarrow_1488133203047/work/arrow-f6924ad83bc95741f003830892ad4815ca3b70fd/python/build/temp.linux-x86_64-3.5/error.cxx:1197)()
> ArrowException: NotImplemented: Unhandled logical type for int32
> {code}
> This is the schema of the parquet file (see attached):
> {code}
> optional group root {
>   optional int64 instant (TIMESTAMP_MILLIS);
>   optional int32 time (TIME_MILLIS);
>   optional double a-double;
>   optional int64 another-int;
>   optional binary a-string (UTF8);
>   optional group list (LIST) {
>     repeated group list {
>       optional int64 element;
>     }
>   }
>   optional boolean a-boolean;
>   optional group a-group {
>     optional boolean bool;
>     optional int64 another;
>   }
>   optional int64 an-int;
>   optional int32 a-date (DATE);
> }
> {code}
> I assume this is because not pyarrow doesn't support loading all the parquet logical
types yet. Is there someplace I can look (even if it's not documented, just in the codebase),
where I can find what types are supported currently and which are not?
>  



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