Hadoop Azure Data Lake Support


The hadoop-azure-datalake module provides support for integration with Azure Data Lake Store. The jar file is named azure-datalake-store.jar.


  • Read and write data stored in an Azure Data Lake Storage account.
  • Reference file system paths using URLs using the adl scheme for Secure Webhdfs i.e. SSL encrypted access.
  • Can act as a source of data in a MapReduce job, or a sink.
  • Tested on both Linux and Windows.
  • Tested for scale.


Partial or no support for the following operations :

  • Operation on Symbolic Link
  • Proxy Users
  • File Truncate
  • File Checksum
  • File replication factor
  • Home directory the active user on Hadoop cluster.
  • Extended Attributes(XAttrs) Operations
  • Snapshot Operations
  • Delegation Token Operations
  • User and group information returned as ListStatus and GetFileStatus is in form of GUID associated in Azure Active Directory.



Azure Data Lake Storage access path syntax is

adl://<Account Name>.azuredatalakestore.net/

Get started with azure data lake account with https://azure.microsoft.com/en-in/documentation/articles/data-lake-store-get-started-portal/

OAuth2 Support

Usage of Azure Data Lake Storage requires OAuth2 bearer token to be present as part of the HTTPS header as per OAuth2 specification. Valid OAuth2 bearer token should be obtained from Azure Active Directory for valid users who have access to Azure Data Lake Storage Account.

Azure Active Directory (Azure AD) is Microsoft’s multi-tenant cloud based directory and identity management service. See https://azure.microsoft.com/en-in/documentation/articles/active-directory-whatis/

Following sections describes on OAuth2 configuration in core-site.xml.

Configuring Credentials & FileSystem

Credentials can be configured using either a refresh token (associated with a user) or a client credential (analogous to a service principal).

Using Refresh Token

Add the following properties to your core-site.xml


Application require to set Client id and OAuth2 refresh token from Azure Active Directory associated with client id. See https://github.com/AzureAD/azure-activedirectory-library-for-java.

Do not share client id and refresh token, it must be kept secret.



Using Client Keys

Generating the Service Principal

  1. Go to the portal (https://portal.azure.com)
  2. Under “Browse”, look for Active Directory and click on it.
  3. Create “Web Application”. Remember the name you create here - that is what you will add to your ADL account as authorized user.
  4. Go through the wizard
  5. Once app is created, Go to app configuration, and find the section on “keys”
  6. Select a key duration and hit save. Save the generated keys.
  7. Note down the properties you will need to auth:
    • The client ID
    • The key you just generated above
    • The token endpoint (select “View endpoints” at the bottom of the page and copy/paste the OAuth2 .0 Token Endpoint value)
    • Resource: Always https://management.core.windows.net/ , for all customers

Adding the service principal to your ADL Account

  1. Go to the portal again, and open your ADL account
  2. Select Users under Settings
  3. Add your user name you created in Step 6 above (note that it does not show up in the list, but will be found if you searched for the name)
  4. Add “Owner” role

Configure core-site.xml

Add the following properties to your core-site.xml


  <value>CLIENT ID FROM STEP 7 ABOVE</value>

  <value>PASSWORD FROM STEP 7 ABOVE</value>

Enabling ADL Filesystem

For ADL FileSystem to take effect. Update core-site.xml with



Accessing adl URLs

After credentials are configured in core-site.xml, any Hadoop component may reference files in that Azure Data Lake Storage account by using URLs of the following format:

adl://<Account Name>.azuredatalakestore.net/<path>

The schemes adl identify a URL on a file system backed by Azure Data Lake Storage. adl utilizes encrypted HTTPS access for all interaction with the Azure Data Lake Storage API.

For example, the following FileSystem Shell commands demonstrate access to a storage account named youraccount.

> hadoop fs -mkdir adl://yourcontainer.azuredatalakestore.net/testDir

> hadoop fs -put testFile adl://yourcontainer.azuredatalakestore.net/testDir/testFile

> hadoop fs -cat adl://yourcontainer.azuredatalakestore.net/testDir/testFile
test file content

Testing the azure-datalake-store Module

The hadoop-azure module includes a full suite of unit tests. Most of the tests will run without additional configuration by running mvn test. This includes tests against mocked storage, which is an in-memory emulation of Azure Data Lake Storage.

A selection of tests can run against the Azure Data Lake Storage. To run tests against Adl storage. Please configure contract-test-options.xml with Adl account information mentioned in the above sections. Also turn on contract test execution flag to trigger tests against Azure Data Lake Storage.