VOOZH about

URL: https://www.cdata.com/kb/tech/mysql-excel-cdataquery.rst

⇱ Excel Spreadsheet Automation on MySQL Data with the QUERY Formula


Excel Spreadsheet Automation on MySQL Data with the QUERY Formula

👁 Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Pull data from MySQL, automate spreadsheets, and more with the QUERY formula.

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:

  • Query: The declaration of the MySQL data records you want to retrieve or the modifications to be made, written in standard SQL.
  • 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.

    SSH Connectivity for MySQL

    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).

    SSH Connections to MySQL in Password Auth Mode

    To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

    • User: MySQL User name
    • Password: MySQL Password
    • Database: MySQL database name
    • Server: MySQL Server name
    • Port: MySQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Password"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHPassword: SSH Password

    SSH Connections to MySQL in Public Key Auth Mode

    To connect to MySQL via SSH in Password Auth mode, set the following connection properties:

    • User: MySQL User name
    • Password: MySQL Password
    • Database: MySQL database name
    • Server: MySQL Server name
    • Port: MySQL port number like 3306
    • UserSSH: "true"
    • SSHAuthMode: "Public_Key"
    • SSHPort: SSH Port number
    • SSHServer: SSH Server name
    • SSHUser: SSH User name
    • SSHClientCret: the path for the public key certificate file
  • ResultLocation: The cell that the output of results should start from.

Pass Spreadsheet Cells as Inputs to the Query

The procedure below results in a spreadsheet that organizes all the formula inputs in the first column.

  1. Define cells for the formula inputs. In addition to the connection inputs, add another input to define a criterion for a filter to be used to search MySQL data, such as ShipCountry.
  2. In another cell, write the formula, referencing the cell values from the user input cells defined above. Single quotes are used to enclose values such as addresses that may contain spaces.
  3. =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.)
  4. Change the filter to change the data. 👁 The outputs of the formula. (Google Apps is shown.)

Ready to get started?

Download a free trial of the Excel Add-In for MySQL to get started:

 Download Now

Learn more:

👁 MySQL Server Icon
Excel Add-In for MySQL

The 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!