Connect to Azure Data Lake Storage Data from PowerBuilder

The CData JDBC driver for Azure Data Lake Storage is a standards-based control that can be used from any platform or development technology that supports JDBC, including PowerBuilder. This article shows how to use the CData JDBC Driver for Azure Data Lake Storage in PowerBuilder.

This article shows how to create a basic PowerBuilder application that uses the CData JDBC Driver for Azure Data Lake Storage to retrieve data.

Connect to Azure Data Lake Storage Data from PowerBuilder

Follow the steps below to use the Database Painter tool to create a database profile based on an JDBC URL for Azure Data Lake Storage. You can use a database profile to save connection properties. In the Database Painter, you can graphically manipulate data as well as execute SQL queries.

1. Add the driver JAR to the PowerBuilder classpath. Set the CLASSPATH system environment variable to the path to the driver JAR, located in the lib subfolder of the installation directory.

   Note: If you are using PowerBuilder Classic, you can also add the path to the driver JAR by clicking Tools -> System Options -> Java.

2. Click Tools -> Database Painter.
3. Right-click the JDBC node and click New Profile.
4. In the Database Profile Setup dialog, enter the following:
   • Profile Name: Enter a user-friendly name for the profile.
   • Driver Name: Enter the class name of the driver, cdata.jdbc.adls.ADLSDriver
   • URL: Enter the JDBC URL.

     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 JDBC URL is below:

     jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH
5. To view and modify a table, right-click a table and then click Edit Data -> Grid.

Using Azure Data Lake Storage Data with PowerBuilder Controls

You can use standard PowerBuilder objects to connect to JDBC data sources and execute queries. The following example shows how to retrieve Azure Data Lake Storage data into a DataWindow. You can add the following code to the open method: