[jira] [Updated] (ARROW-3538) [Python] ability to override the automated assignment of uuid for filenames when writing datasets

["Antoine Pitrou (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/ARROW-3538?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou updated ARROW-3538:
----------------------------------
    Component/s: Python

> [Python] ability to override the automated assignment of uuid for filenames when writing datasets
> -------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-3538
>                 URL: https://issues.apache.org/jira/browse/ARROW-3538
>             Project: Apache Arrow
>          Issue Type: Wish
>          Components: Python
>    Affects Versions: 0.10.0
>            Reporter: Ji Xu
>            Priority: Major
>              Labels: features, parquet
>
> Say I have a pandas DataFrame {{df}} that I would like to store on disk as dataset using pyarrow parquet, I would do this:
> {code:java}
> table = pyarrow.Table.from_pandas(df)
> pyarrow.parquet.write_to_dataset(table, root_path=some_path, partition_cols=['a',]){code}
> On disk the dataset would look like something like this:
>  {color:#14892c}some_path{color}
>  {color:#14892c}├── a=1{color}
>  {color:#14892c}____├── 4498704937d84fe5abebb3f06515ab2d.parquet{color}
>  {color:#14892c}├── a=2{color}
>  {color:#14892c}____├── 8bcfaed8986c4bdba587aaaee532370c.parquet{color}
> *Wished Feature:* It'd be great if I can override the auto-assignment of the long UUID as filename somehow during the *dataset* writing. My purpose is to be able to overwrite the dataset on disk when I have a new version of {{df}}. Currently if I try to write the dataset again, another new uniquely named [UUID].parquet file will be placed next to the old one, with the same, redundant data.



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