Connect to Azure Data Lake Storage Data in Squirrel SQL Client

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Azure Data Lake Storage JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Azure Data Lake Storage.



Connect to Azure Data Lake Storage data and execute queries in the Squirrel SQL Client.

The CData JDBC Driver for Azure Data Lake Storage enables you to execute queries to Azure Data Lake Storage data in tools like Squirrel SQL Client. In this article, you will create a JDBC data source for Azure Data Lake Storage data and execute queries.

Add the JDBC Driver for Azure Data Lake Storage

Follow the steps below to add the driver JAR.

  1. In Squirrel SQL, click Windows -> View Drivers.
  2. Click the plus icon to open the Add Driver wizard.
  3. In the Name box, enter a user-friendly name for the driver; for example, CData JDBC Driver for Azure Data Lake Storage.
  4. In the Example URL box, enter jdbc:adls:
  5. In the Extra Class Path tab, click Add.
  6. In the file explorer dialog that opens, select the JAR file for the driver, located in the lib subfolder of the installation directory.
  7. Click List Drivers to populate the Class Name menu with the class name for the driver, cdata.jdbc.adls.ADLSDriver.

Define Connection Properties

Follow the steps below to save connection properties in the driver alias.

  1. Click Windows -> View Aliases.
  2. In the pane that lists the aliases, click the plus icon.
  3. In the Add Alias wizard that opens, the following fields are required for the JDBC driver:

    • Name: Enter a name for the alias; for example, CData Azure Data Lake Storage Source.
    • Driver: Select the CData JDBC Driver for Azure Data Lake Storage.
    • URL: Enter jdbc:adls:
  4. If you want to define any additional properties, click Properties.
  5. In the Driver properties tab of the dialog that appears, select the Use driver properties checkbox.
  6. In the Specify column, select the checkboxes for the required 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.

    Below is a typical connection string:

    jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH
  7. In the dialog that appears after you click OK, click connect to test the connection.

Discover Schemas and Query Azure Data Lake Storage Data

After the metadata has loaded, a new tab for the Azure Data Lake Storage data source is displayed. On the Objects subtab, you can discover schema information, such as the available tables and views.

To view table data, select the table on the Objects tab. The table data is then loaded in a grid on the Content tab.

To execute an SQL query, enter the query on the SQL tab and then click Run SQL (the runner icon). For example:

SELECT FullPath, Permission FROM Resources WHERE Type = 'FILE'