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Azure Blob Storage Backend for Dask

Project description

Dask Azure Blob FileSystem

Azure Blob Storage Backend for Dask Documentation Status


  • Supports dask when your data files are stored in the cloud.
    • Import DaskAzureBlobFileSystem
    • Use abfs:// as protocol prefix and you are good to do.
  • For authentication, please read more on Usage.
  • Support for key-value storage which is backed by azure storage. Create an instance of AzureBlobMap


Make the right imports:

from azureblobfs.dask import DaskAzureBlobFileSystem
import dask.dataframe as dd

then put all data files in an azure storage container say clippy, then you can read it:

data = dd.read_csv("abfs://noaa/clippy/weather*.csv")
max_by_state = data.groupby("states").max().compute()

you would need to set your azure account name in environment variable AZURE_BLOB_ACCOUNT_NAME (which in our above example is noaa) and the account key in AZURE_BLOB_ACCOUNT_KEY.

If you don’t want to use account key and instead want to use SAS, set it in the environment variable AZURE_BLOB_SAS_TOKEN along with the connection string in the environment variable AZURE_BLOB_CONNECTION_STRING.



pip install dask-azureblobfs

or get the development version if you love to live dangerously:

pip install git+


This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.


0.1.0 (2018-11-18)

  • First release on PyPI.

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