CVAL() Function

YouTube: How to Use the CVAL () Function in Report Custom Columns?

How to Use the CVAL () Function in Report Custom Columns?

In this tutorial, we will learn how to use the CVAL function to convert string or text-based numeric values into decimal numbers, enabling accurate mathematical calculations in reports.


Accessing the Expression Designer:

  • Navigate to the Reporting section.

  • Open the Sales Register Detailed Report or any "Report".

  • Go to Setup Column Attributes.

  • Here, you'll see a list of available columns that can be used to build expressions.

  • Click on "Add/Edit Expression Columns" where you can write your expression using predefined functions.

  • Before adding the expression to the report, go to Other Settings.

  • Ensure the Script Editor is set to VBScript.

  • Click Save.

    • Note: VBScript is the default for new configurations but always verify this setting.

Writing Your First Expression

  • Every expression must start with the script header: '#@LSCRIPT

  • Click the (+) Plus icon to create a new expression.

  • Fill in the required fields:

    • Expression Name – A unique name for your expression.

    • Expression Type – Choose either Text or Numeric depending on the expected output.

Creating a Simple CVAL() Expression

  • Double-click the new expression name to insert it into the script editor.

  • Define the expression using the syntax:

    • Expression Name = CVAL('TOTAL_QTY')

      • CVAL converts the value to a decimal, which can then be used for calculations like sums or averages.

      • Replace 'TOT_QTY' with the string-based field you want to convert (keep the field name in single quotes).

  • Save the expression once defined.

  • Scroll down and check the box beside the expression name to enable it.

  • Save and proceed to check the effect.

  • Refresh the report to view the final result.


Output:

Item Name
TOT_QTY (Text)
CVAL Expression Result

Item A

"10.50"

10.50

Item B

"25"

25

With the CVAL function, the system can now treat these as numeric values in totals, filters, or other numeric expressions.

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