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The CData Excel Add-In for MySQL provides formulas that can edit, save, and delete MySQL data. The following three steps show how you can automate the following task: Search MySQL 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 MySQLConnection1, or a connection string. The connection string consists of the required properties for connecting to MySQL data, separated by semicolons.
The CData Provider supports connecting to on-premises and cloud-hosted versions of MySQL such as Amazon RDS for MySQL, Google Cloud SQL for MySQL, Azure Database for MySQL, or Oracle MySQL HeatWave. The Server and Port properties must be set to a MySQL server. If IntegratedSecurity is set to false, then User and Password must be set to valid user credentials. Optionally, Database can be set to connect to a specific database. If not set, tables from all databases will be returned.
You can use SSH (Secure Shell) to authenticate with MySQL, whether the instance is hosted on-premises or in supported cloud environments. SSH authentication ensures that access is encrypted (as compared to direct network connections).
To connect to MySQL via SSH in Password Auth mode, set the following connection properties:
To connect to MySQL via SSH in Password Auth mode, set the following connection properties:
The procedure below results in a spreadsheet that organizes all the formula inputs in the first column.
=CDATAQUERY("SELECT * FROM Orders WHERE ShipCountry = '"&B6&"'","User="&B1&";Password="&B2&";Database="&B3&";Server="&B4&";Port="&B5&";Provider=MySQL",B7)
👁 Formula inputs used in this example. (Google Apps is shown.)Download a free trial of the Excel Add-In for MySQL to get started:
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👁 MySQL Server IconThe MySQL Excel Add-In is a powerful tool that allows you to connect with live data from MySQL Server databases, directly from Microsoft Excel.
Use Excel to read, write, and update MySQL data. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!