docs-archive/apache-airflow-providers-microsoft-azure/4.0.0/_sources/connections/adl.rst.txt

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.. _howto/connection:adl:

Microsoft Azure Data Lake Connection
====================================

The Microsoft Azure Data Lake connection type enables the Azure Data Lake Integrations.

Authenticating to Azure Data Lake
---------------------------------

There is one way to connect to Azure Data Lake using Airflow.

1. Use `token credentials
   <https://docs.microsoft.com/en-us/azure/developer/python/azure-sdk-authenticate?tabs=cmd#authenticate-with-token-credentials>`_
   i.e. add specific credentials (client_id, secret, tenant) and account name to the Airflow connection.

Default Connection IDs
----------------------

All hooks and operators related to Microsoft Azure Data Lake use ``azure_data_lake_default`` by default.

Configuring the Connection
--------------------------

Login
    Specify the ``client_id`` used for the initial connection.
    This is needed for *token credentials* authentication mechanism.

Password
    Specify the ``secret`` used for the initial connection.
    This is only needed for *token credentials* authentication mechanism.

Extra (optional)
    Specify the extra parameters (as json dictionary) that can be used in Azure Data Lake connection.
    The following parameters are all optional:

    * ``tenant``: Specify the tenant to use.
      This is needed for *token credentials* authentication mechanism.
    * ``account_name``: Specify the azure data lake account name.
      This is sometimes called the ``store_name``

When specifying the connection in environment variable you should specify
it using URI syntax.

Note that all components of the URI should be URL-encoded.

For example:

.. code-block:: bash

   export AIRFLOW_CONN_AZURE_DATA_LAKE_DEFAULT='azure-data-lake://client%20id:secret@?tenant=tenant+id&account_name=store+name'