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https://issues.apache.org/jira/browse/ARROW-12358?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17476451#comment-17476451
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Weston Pace commented on ARROW-12358:
-------------------------------------

This 
(https://github.com/apache/arrow/compare/master...westonpace:feature/ARROW-12358--only-call-delete-contents-if-needed)
 would be one possible fix but not easily regressible (I suppose I could mock 
out a filesystem to make sure we don't call delete contents on an empty 
directory but that seems like a lot of complexity)

This 
(https://github.com/apache/arrow/compare/master...westonpace:feature/ARROW-12358--pass-delete-contents-if-dir-not-there)
 would be another possible fix and it's easily regressible but does lead to 
different filesystems acting differently (although we already have some of this)

[~jorisvandenbossche][~lidavidm] opinions?

> [C++][Python][R][Dataset] Control overwriting vs appending when writing to 
> existing dataset
> -------------------------------------------------------------------------------------------
>
>                 Key: ARROW-12358
>                 URL: https://issues.apache.org/jira/browse/ARROW-12358
>             Project: Apache Arrow
>          Issue Type: Improvement
>          Components: C++
>            Reporter: Joris Van den Bossche
>            Priority: Major
>              Labels: dataset
>             Fix For: 8.0.0
>
>
> Currently, the dataset writing (eg with {{pyarrow.dataset.write_dataset}}) 
> uses a fixed filename template ({{"part\{i\}.ext"}}). This means that when 
> you are writing to an existing dataset, you de facto overwrite previous data 
> when using this default template.
> There is some discussion in ARROW-10695 about how the user can avoid this by 
> ensuring the file names are unique (the user can specify the 
> {{basename_template}} to be something unique). There is also ARROW-7706 about 
> silently doubling data (so _not_ overwriting existing data) with the legacy 
> {{parquet.write_to_dataset}} implementation. 
> It could be good to have a "mode" when writing datasets that controls the 
> different possible behaviours. And erroring when there is pre-existing data 
> in the target directory is maybe the safest default, because both appending 
> vs overwriting silently can be surprising behaviour depending on your 
> expectations.



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