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Azure Data Lake Storage Icon Azure Data Lake Storage ODBC Driver

The Azure Data Lake Storage ODBC Driver is a powerful tool that allows you to connect with live data from Azure Data Lake Storage, directly from any applications that support ODBC connectivity.

Access Azure Data Lake Storage data like you would a database - read, write, and update Azure Data Lake Storage ADLSData, etc. through a standard ODBC Driver interface.

Import Real-Time Azure Data Lake Storage Data in ColdFusion to Build Applications



Use the CData ODBC Driver for Azure Data Lake Storage to import and use Azure Data Lake Storage data in ColdFusion.

Adobe ColdFusion is a web and mobile application development platform. It uses its own scripting language, ColdFusion Markup Language (CFML), to create data-driven websites as well as generate remote services, such as REST. When ColdFusion is paired with the CData ODBC Driver for Azure Data Lake Storage, you can link your ColdFusion web and mobile applications to operational Azure Data Lake Storage data. This allows for your applications to be more robust and complete. This article details how to use the ODBC driver to create a table populated with Azure Data Lake Storage data from within a ColdFusion markup file.

To follow along with this tutorial, you need to install the CData ODBC Driver for Azure Data Lake Storage and Adobe ColdFusion.

Configuring the Connection

If you have not already, first specify connection properties in an ODBC DSN (Data Source Name). This is the last step of the driver installation process. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

Adding a Data Source and Creating a Table

After creating a DSN, follow the steps below to add a new data source, test our connection to it, create a ColdFusion markup file, and, finally, import Azure Data Lake Storage Azure Data Lake Storage data and display it in a table in ColdFusion:

  1. From the ColdFusion administrator interface, choose Data & Services.
  2. Here, click "Add New Data Source". The data source name can be any name, provided it conforms to the ColdFusion variable naming conventions. For our ODBC driver, choose "ODBC Socket", then click the "Add" button.
  3. From the ODBC DSN Dropdown menu select CData Azure Data Lake Storage Sys. Under the Advanced Settings section, leave the Connection String blank. Note that any properties specified in this input field will override the ones specified in the DSN Configuration.
  4. Now, test the connection by pressing the check mark to the left of the CDataAzure Data Lake StorageODBC data source you just created. When the data source reports an "OK" status, it is ready for use.
  5. Next, create a new ColdFusion Markup file (.cfm) and place it in the wwwroot directory ("C:\ColdFusion2021\cfusion\wwwroot") for ColdFusion.

    The following code queries the data source:

                
            <cfquery name="Azure Data Lake StorageQuery" dataSource="CDataAzure Data Lake StorageODBC"> 
              SELECT * FROM Resources 
            </cfquery> 
        
    And a CFTable can be used to quickly output the table in HTML:
                
              <cftable  
              query = "Azure Data Lake StorageQuery" 
              border = "1" 
              colHeaders 
              colSpacing = "2" 
              headerLines = "2" 
              HTMLTable 
              maxRows = "500" 
              startRow = "1"> 
    
              <cfcol header="<b>FullPath</b>" align="Left" width=2 text="FullPath"/> 
    
              <cfcol header="<b>Permission</b>" align="Left" width=15 text="Permission"/> 
    
              ...
    
            </cftable> 
        
    Full code, including the HTML portion is available below:
                
            <html> 
            <head><title>CData Software | Azure Data Lake Storage Resources Table Demo </title></head> 
            <body> 
            <cfoutput>#ucase("Azure Data Lake Storage Resources Table Demo")#</cfoutput> 
            <cfquery name="Azure Data Lake StorageQuery" dataSource="CDataAzure Data Lake StorageODBC"> 
    
              SELECT * FROM Resources 
    
            </cfquery> 
            <cftable  
              query = "Azure Data Lake StorageQuery" 
              border = "1" 
              colHeaders 
              colSpacing = "2" 
              headerLines = "2" 
              HTMLTable 
              maxRows = "500" 
              startRow = "1"> 
              <cfcol header="<b>FullPath</b>" align="Left" width=2 text="FullPath"/> 
    
              <cfcol header="<b>Permission</b>" align="Left" width=15 text="Permission"/> 
    
              ...
    
            </cftable> 
            </body> 
    
            </html>  
        
  6. Finally, run the code in a browser. It produces a table populated with Azure Data Lake Storage data!

As a note, the CData ODBC Drivers also support parameterized queries using the cfqueryparam element. For example: SELECT * FROM Account WHERE name =

Get Started Today

Download a free, 30-day trial of the CData ODBC Driver for Azure Data Lake Storage and start building Azure Data Lake Storage-connected applications with Adobe ColdFusion. Reach out to our Support Team if you have any questions.