[jira] [Resolved] (ARROW-2013) [Python] Add AzureDataLakeFilesystem to be used with ParquetDataset and reader/writer functions

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

     [ https://issues.apache.org/jira/browse/ARROW-2013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Antoine Pitrou resolved ARROW-2013.
-----------------------------------
    Resolution: Later

Our strategy here would be to implement this at the C++ layer and then add a Python binding.

> [Python]  Add AzureDataLakeFilesystem to be used with ParquetDataset and reader/writer functions
> ------------------------------------------------------------------------------------------------
>
>                 Key: ARROW-2013
>                 URL: https://issues.apache.org/jira/browse/ARROW-2013
>             Project: Apache Arrow
>          Issue Type: New Feature
>          Components: Python
>            Reporter: Nicholas Pezolano
>            Priority: Minor
>              Labels: filesystem
>
> Similar to https://issues.apache.org/jira/browse/ARROW-1213, it would be great to add AzureDLFileSystem as a supported filesystem in ParquetDataset.
> Example:
> {code:java}
> from azure.datalake.store import AzureDLFileSystem
> fs = AzureDLFileSystem(token=token, store_name=store_name)
> dataset = pq.ParquetDataset(file_list, filesystem=fs){code}
> Throws:
> {code:java}
> IOError: Unrecognized filesystem: <class 'azure.datalake.store.core.AzureDLFileSystem'>{code}
> Azures github:
> https://github.com/Azure/azure-data-lake-store-python



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