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https://issues.apache.org/jira/browse/ARROW-6780?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17470840#comment-17470840
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P commented on ARROW-6780:
--------------------------

 [~jorisvandenbossche] / [~jorgecarleitao] / [~emkornfield] : any planned 
movement on this issue? Coming from the Pandas side, it's quite inconvenient 
having to special-case types handled by Pandas but not by Arrow/Parquet.

> [C++][Parquet] Support DurationType in writing/reading parquet
> --------------------------------------------------------------
>
>                 Key: ARROW-6780
>                 URL: https://issues.apache.org/jira/browse/ARROW-6780
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++
>            Reporter: Joris Van den Bossche
>            Priority: Major
>              Labels: parquet
>             Fix For: 8.0.0
>
>
> Currently this is not supported:
> {code}
> In [37]: table = pa.table({'a': pa.array([1, 2], pa.duration('s'))}) 
> In [39]: table
> Out[39]: 
> pyarrow.Table
> a: duration[s]
> In [41]: pq.write_table(table, 'test_duration.parquet')
> ...
> ArrowNotImplementedError: Unhandled type for Arrow to Parquet schema 
> conversion: duration[s]
> {code}
> There is no direct mapping to Parquet logical types. There is an INTERVAL 
> type, but this more matches Arrow's  ( YEAR_MONTH or DAY_TIME) interval type. 
> But, those duration values could be stored as just integers, and based on the 
> serialized arrow schema, it could be restored when reading back in.



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