Design BIRT Reports on Azure Data Lake Storage Data

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Azure Data Lake Storage JDBC Driver

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



Provide current Azure Data Lake Storage data to your embedded analytics.

The CData JDBC Driver for Azure Data Lake Storage integrates connectivity to Azure Data Lake Storage APIs into your data-driven Java applications. You can use the CData JDBC Driver for Azure Data Lake Storage with the BIRT (Business Intelligence Reporting Tools) platform to create BIRT reports that reflect changes to your data in real time.

  1. If you have not already done so, install the BIRT Framework plugin and the Database Development plugin for Eclipse.
  2. Click File -> New -> Report. The Report Design perspective is opened.
  3. In the Data Explorer, right-click Data Sources and click New Data Source.
  4. Select the Create from a Data Source Type in the Following List option and select JDBC Data Source.
  5. Click Manage Drivers and add the driver JAR, located in the lib subfolder of the installation folder.
  6. In the Database URL box, enter the JDBC URL containing the connection string.

    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.

    When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

    A typical JDBC URL is below:

    jdbc:adls:Schema=ADLSGen2;Account=myAccount;FileSystem=myFileSystem;AccessKey=myAccessKey;InitiateOAuth=GETANDREFRESH
  7. Right-click the Data Sets folder and select the JDBC data source for Azure Data Lake Storage.
  8. In the resulting dialog, build the SELECT query to be used to retrieve the data for the report. This article uses the following query: SELECT FullPath, Permission FROM Resources WHERE Type = 'FILE'
  9. In the Palette, drag a Chart onto the editor. The chart wizard is displayed.
  10. After selecting the chart type, drag columns onto the chart fields on the Select Data tab.
  11. Click Run -> View Report -> In Web Viewer to view the report.

Your BIRT reports can now pick up any updates to Azure Data Lake Storage data.

To publish the report to your application server, add the driver JAR to the BIRT Viewer's classpath. For more information, see the CData KB for guides to deploying the JDBC Driver on Java application servers.