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Import Real-Time CSV Data in ColdFusion to Build Applications



Use CData JDBC drivers to import and use CSV 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 JDBC Driver for CSV, you can link your ColdFusion web and mobile applications to operational CSV data. This allows for your applications to be more robust and complete. This article details how to use the JDBC driver to create a table populated with CSV data from within a ColdFusion markup file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live CSV data. When you issue complex SQL queries to CSV, the driver pushes supported SQL operations, like filters and aggregations, directly to CSV and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze CSV data using native data types.

Configuring the Connection to CSV

You will need a JDBC connection string to establish a connection between Coldfusion and CSV.

The DataSource property must be set to a valid local folder name.

Also, specify the IncludeFiles property to work with text files having extensions that differ from .csv, .tab, or .txt. Specify multiple file extensions in a comma-separated list. You can also set Extended Properties compatible with the Microsoft Jet OLE DB 4.0 driver. Alternatively, you can provide the format of text files in a Schema.ini file.

Set UseRowNumbers to true if you are deleting or updating in CSV. This will create a new column with the name RowNumber which will be used as key for that table.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the CSV JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

java -jar cdata.jdbc.csv.jar

Adding a Data Source and Creating a Table

After configuring the connection, follow the steps below to add the CData JDBC Driver to ColdFusion's lib directory, add a new data source, test the connection, create a ColdFusion markup file, and, finally, make a real-time connection with CSV data and display it in a table written in the ColdFusion Markup Language, or CFML:

  1. Copy the JDBC Driver for CSV and lic file from "C:\Program Files\CData[product_name]\lib" to "C:\ColdFusion2021\cfusion\wwwroot\WEB-INF\lib". cdata.jdbc.csv.jar cdata.jdbc.csv.lic

    Note: If you do not copy the .lic file with the jar, you will see a licensing error that indicates you do not have a valid license installed. This is true for both the trial and full versions.

  2. From the ColdFusion administrator interface, choose Data & Services.
  3. Here, we can "Add New Data Source". The data source name can be any name, provided it conforms to the ColdFusion variable naming conventions. For our JDBC driver, choose "other", then click the "Add" button.
  4. Next, populate the driver properties.
    • JDBC URL will need to be in the format: jdbc:csv:|connectionString|.
    • A typical connection string looks like this:

      jdbc:csv:DataSource=MyCSVFilesFolder;

    • The Driver Class is: cdata.jdbc.csv.CSVDriver
    • The Driver Name is arbitrary and simply used to recognize the data source in the ColdFusion administration console.
  5. Now, test the connection by clicking the check mark to the left of the CDataCSVJDBC data source you just created. When the data source reports an "OK" status, it is ready for use.
  6. 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="CSVQuery" dataSource="CDataCSVJDBC"> 
              SELECT * FROM Customer 
            </cfquery> 
        
    And a CFTable can be used to quickly output the table in HTML:
                
              <cftable  
              query = "CSVQuery" 
              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>TotalDue</b>" align="Left" width=15 text="TotalDue"/> 
    
              ...
    
            </cftable> 
        
    Full code, including the HTML portion is available below:
                
            <html> 
            <head><title>CData Software | CSV Customer Table Demo </title></head> 
            <body> 
            <cfoutput>#ucase("CSV Customer Table Demo")#</cfoutput> 
            <cfquery name="CSVQuery" dataSource="CDataCSVJDBC"> 
    
              SELECT * FROM Customer 
    
            </cfquery> 
            <cftable  
              query = "CSVQuery" 
              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>TotalDue</b>" align="Left" width=15 text="TotalDue"/> 
    
              ...
    
            </cftable> 
            </body> 
    
            </html>  
        
  7. Finally, run the code locally in a browser at the default port of 8500. It produces a table populated with CSV data!

As a note, the CData JDBC 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 JDBC Driver for CSV and start building CSV-connected applications with Adobe ColdFusion. Reach out to our Support Team if you have any questions.