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The CData Excel Add-In for HCL Domino provides formulas that can query HCL Domino data. The following three steps show how you can automate the following task: Search HCL Domino data for a user-specified value and then organize the results into an Excel spreadsheet.
The syntax of the CDATAQUERY formula is the following:
=CDATAQUERY(Query, [Connection], [Parameters], [ResultLocation]);
This formula requires three inputs:
Connection: Either the connection name, such as DominoConnection1, or a connection string. The connection string consists of the required properties for connecting to HCL Domino data, separated by semicolons.
To connect to Domino data, set the following properties:
Domino supports authenticating via login credentials or an Entra ID (formerly Azure AD) OAuth application:
To authenticate with login credentials, set the following properties:
The driver uses the login credentials to automatically perform an OAuth token exchange.
This authentication method uses Entra ID (formerly Azure AD) as an IdP to obtain a JWT token. You need to create a custom OAuth application in Entra ID (formerly Azure AD) and configure it as an IdP. To do so, follow the instructions in the Help documentation. Then set the following properties:
The tenant ID is the same as the directory ID shown in the Azure Portal's Entra ID (formerly Azure AD) > Properties page.
The procedure below results in a spreadsheet that organizes all the formula inputs in the first column.
=CDATAQUERY("SELECT * FROM ByName WHERE City = '"&B5&"'","Server="&B1&";AuthScheme="&B2&";User="&B3&";Password="&B4&";Provider=Domino",B6)
👁 Formula inputs used in this example. (Google Apps is shown.)Download a free trial of the Excel Add-In for HCL Domino to get started:
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👁 HCL Domino IconThe HCL Domino Excel Add-In is a powerful tool that allows you to connect with live HCL Domino data, directly from Microsoft Excel.
Use Excel to read, write, and update HCL Domino FALSE, etc. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!