Connect to Azure Data Lake Storage Data in RazorSQL

The CData JDBC Driver for Azure Data Lake Storage enables standards-based access from third-party tools, from wizards in IDEs to data management and analysis tools. This article shows how to connect to Azure Data Lake Storage using wizards in RazorSQL.

Create a JDBC Data Source for Azure Data Lake Storage Data

1. Open the RazorSQL application and, in the Connections menu, select Add Connection Profile -> Other -> JDBC.
2. In the Connection Wizard that appears, set the following properties:
   • Driver Location: Set this property to the path to the lib subfolder in the installation directory.
   • Driver Class: Set the driver class to cdata.jdbc.adls.ADLSDriver.
   • Username: Enter the username. (This property can also be set in the JDBC URL.)
   • Password: Enter the password. (This property can also be set in the JDBC URL.)

   • JDBC URL: Enter connection parameters. The JDBC URL begins with jdbc:adls: and is followed by a semicolon-separated list of connection properties.

     Authenticating to a Gen 1 DataLakeStore Account

     Gen 1 uses OAuth 2.0 in Entra ID (formerly 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 "Entra ID" (formerly Azure AD).
     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.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     

     A typical JDBC URL is the following:

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

Query Azure Data Lake Storage Data and Select Tables

After establishing a connection, the wizard will close and the connection will be available in the connections panel. You can then query the tables.