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Apache Spark Icon Apache Spark ODBC Driver

The Spark ODBC Driver is a powerful tool that allows you to connect with Apache Spark, directly from any applications that support ODBC connectivity.

The Driver maps SQL to Spark SQL, enabling direct standard SQL-92 access to Apache Spark.

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Import Real-Time Spark Data in ColdFusion to Build Applications


Use CData ODBC drivers to import and use Spark 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 Apache Spark, you can link your ColdFusion web and mobile applications to operational Spark 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 Spark data from within a ColdFusion markup file.

To follow along with this tutorial, you need to install the CData ODBC Driver for Apache Spark 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.

Set the Server, Database, User, and Password connection properties to connect to SparkSQL.

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 Spark Spark 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 Spark 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 CDataSparkODBC 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="SparkQuery" dataSource="CDataSparkODBC"> 
          SELECT * FROM Customers 
        </cfquery>
    And a CFTable can be used to quickly output the table in HTML: 
                
          <cftable  
          query = "SparkQuery" 
          border = "1" 
          colHeaders 
          colSpacing = "2" 
          headerLines = "2" 
          HTMLTable 
          maxRows = "500" 
          startRow = "1"> 

          <cfcol header="<b>City</b>" align="Left" width=2 text="City"/> 

          <cfcol header="<b>Balance</b>" align="Left" width=15 text="Balance"/> 

          ...

        </cftable>
    Full code, including the HTML portion is available below: 
                
        <html> 
        <head><title>CData Software | Spark Customers Table Demo </title></head> 
        <body> 
        <cfoutput>#ucase("Spark Customers Table Demo")#</cfoutput> 
        <cfquery name="SparkQuery" dataSource="CDataSparkODBC"> 

          SELECT * FROM Customers 

        </cfquery> 
        <cftable  
          query = "SparkQuery" 
          border = "1" 
          colHeaders 
          colSpacing = "2" 
          headerLines = "2" 
          HTMLTable 
          maxRows = "500" 
          startRow = "1"> 
          <cfcol header="<b>City</b>" align="Left" width=2 text="City"/> 

          <cfcol header="<b>Balance</b>" align="Left" width=15 text="Balance"/> 

          ...

        </cftable> 
        </body> 

        </html>
  6. Finally, run the code in a browser. It produces a table populated with Spark 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 Spark and start building Spark-connected applications with Adobe ColdFusion. Reach out to our Support Team if you have any questions.