Connect to Azure Data Lake Storage Data from a Connection Pool in JBoss

CData JDBC drivers can be configured in JBoss by following the standard procedure for connection pooling. This article details how to access Azure Data Lake Storage data from a connection pool in JBoss applications. This article details how to use the JBoss Management Interface to configure the CData JDBC Driver for Azure Data Lake Storage. You will then access Azure Data Lake Storage data from a connection pool.

Create a JDBC Data Source for Azure Data Lake Storage from the Management Console

Follow the steps below to add the driver JAR and define required connection properties.

1. In the Runtime menu, select the Domain or Server menu, depending on whether you are deploying to a managed domain or to a stand-alone server, and click "Manage deployments" to open the Deployments page.
2. Click Add. In the resulting wizard, add the JAR file and license for the driver, located in the lib subfolder of the installation directory. Finish the wizard with the defaults, select the driver, and click Enable.
3. In the Configuration menu, click Subsystems -> Connector -> Datasources. This opens the JDBC Datasources page.
4. Click Add and, in the resulting wizard, enter a name for the driver and the JNDI name. For example: java:jboss/root/jdbc/ADLS
5. Select the driver that you added above.

6. Enter the JDBC URL and the username and password. The syntax of the JDBC URL is jdbc:adls: followed by a semicolon-separated list of connection properties.

   Authenticating to a Gen 1 DataLakeStore Account

   Gen 1 uses OAuth 2.0 in Azure AD for authentication.

   For this, an Active Directory web application is required. You can create one as follows:

   1. Sign in to your Azure Account through the .
   2. Select "Azure Active Directory".
   3. Select "App registrations".
   4. Select "New application registration".
   5. Provide a name and URL for the application. Select Web app for the type of application you want to create.
   6. Select "Required permissions" and change the required permissions for this app. At a minimum, "Azure Data Lake" and "Windows Azure Service Management API" are required.
   7. Select "Key" and generate a new key. Add a description, a duration, and take note of the generated key. You won't be able to see it again.

   To authenticate against a Gen 1 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen1.
   • Account: Set this to the name of the account.
   • OAuthClientId: Set this to the application Id of the app you created.
   • OAuthClientSecret: Set this to the key generated for the app you created.
   • TenantId: Set this to the tenant Id. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

   Authenticating to a Gen 2 DataLakeStore Account

   To authenticate against a Gen 2 DataLakeStore account, the following properties are required:

   • Schema: Set this to ADLSGen2.
   • Account: Set this to the name of the account.
   • FileSystem: Set this to the file system which will be used for this account.
   • AccessKey: Set this to the access key which will be used to authenticate the calls to the API. See the property for more information on how to acquire this.
   • Directory: Set this to the path which will be used to store the replicated file. If not specified, the root directory will be used.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Azure Data Lake Storage JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.adls.jar

   Fill in the connection properties and copy the connection string to the clipboard.

   A typical connection string is below:

   jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH
7. Test the connection and finish the wizard. Select the Azure Data Lake Storage data source and click Enable.

More JBoss Integration

The steps above show how to configure the driver in a simple connection pooling scenario. For more information, refer to the Data Source Management chapter in the JBoss EAP documentation.