Access Azure Datalake Gen1 with fsspec and dask

Filesystem interface to Azure-Datalake Gen1 and Gen2 Storage To use the Gen1 filesystem: import dask.dataframe as dd storage_options={'tenant_id': TENANT_ID, 'client_id': CLIENT_ID, 'client_secret': CLIENT_SECRET} dd.read_csv('adl:/{STORE_NAME}/{FOLDER}/*.csv', storage_options=storage_options) To use the Gen2 filesystem you can use the protocol abfs or az: import dask.dataframe as dd storage_options={'account_name': ACCOUNT_NAME, 'account_key': ACCOUNT_KEY} ddf = dd.read_csv('abfs:/{CONTAINER}/{FOLDER}/*.csv', storage_options=storage_options) ddf = dd.read_parquet('az:/{CONTAINER}/folder.parquet', storage_options=storage_options)
RPM
python3-adlfs-2025.8.0-2.lbn42.noarch.rpm
Summary
Access Azure Datalake Gen1 with fsspec and dask
URL
https://pypi.org/project/adlfs
Group
Unspecified
License
ZPL
Source
python-adlfs-2025.8.0-2.lbn42.src.rpm
Checksum
327ddff54e7eda74fa5166811d54d1e6e27b241015f34ae84b1a3907395f76a2
Build Date
2026/01/26 12:29:06
Requires
python3.13dist(azure-core) ? 1.28
python3.13dist(azure-datalake-store) ? 0.0.53
python3.13dist(aiohttp) >= 3.7
python3.13dist(azure-storage-blob) >= 12.17
python3.13dist(fsspec) >= 2023.12
Provides
python-adlfs = 2025.8.0-2.lbn42
python3-adlfs = 2025.8.0-2.lbn42
python3.13-adlfs = 2025.8.0-2.lbn42
python3.13dist(adlfs) = 2025.8
python3dist(adlfs) = 2025.8
Obsoletes