dask-azureblobfs 0.1.0

Features

• 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

Usage

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.

Installation

Just:

pip install dask-azureblobfs

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

pip install git+https://github.com/manish/dask-azureblobfs@master#egg=dask-azureblobfs

Credits

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