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

The CData JDBC Driver for Azure Data Lake Storage enables you to follow standard procedures to integrate Azure Data Lake Storage data into Java Web applications. This article shows how to deploy the CData JDBC Driver for Azure Data Lake Storage in WebLogic Server.

Deploy the JDBC Driver in WebLogic Server

To deploy the driver, add the driver JAR to your classpath. The .lic file must be located in the same folder as the JAR. These files are located in the lib subfolder of the installation directory.

If you want to add the driver to all domains, prepend the path to the JAR to the WEBLOGIC_CLASSPATH environment variable in WL_HOME\common\bin\commEnv.cmd/sh. This script is located in WL_HOME\common\bin\. For example:

In WebLogic 12.2.1 if you want to add the driver to a specific domain, you can simply place the driver JAR and .lic file into DOMAIN_HOME\lib; for example, ORACLE_HOME\user_projects\domains\MY_DOMAIN\lib. These files will be added to the server classpath at startup.

Earlier versions require that you manually add the driver to the classpath: Prepend the following to the PRE_CLASSPATH environment variable in setDomainEnv.cmd/sh. This script is located in the bin subfolder of the folder for that domain.

After making these changes, restart the server.

Create a JDBC Data Source for Azure Data Lake Storage

After deploying the driver, log into the WebLogic Administration Console and create the connection.

1. In the Domain Structure tree, click Services -> Data Sources -> New -> Generic Data Source.
2. On the JDBC Data Source Properties page, enter the following information:
   • Name: Enter a user-friendly name; for example, adlsjdbc.
   • JNDI Name: Enter the path the JDBC data source will be bound to; for example, jdbc/ADLS.

   • Database Type: Select Other.

3. Click Next to use the default options. On the last page, enter the following information and click Test Configuration:

   • Driver Class Name: Enter the driver class, cdata.jdbc.adls.ADLSDriver.

   • URL: Enter the JDBC URL. A typical JDBC URL is below:

     jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH

     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.

   • Database User Name: Enter the username, if not specified in the JDBC URL.
   • Password: Enter the password, if not specified in the JDBC URL.

After selecting the server where you want to deploy the JDBC data source, you can now connect to Azure Data Lake Storage data.

More WebLogic Integration

The steps above show how configure the driver in a simple connection pooling scenario. For more use cases and information, see the JDBC sections in the WebLogic Data Sources chapter of the Oracle Fusion Middleware documentation.