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The CData Excel Add-In for PostgreSQL provides formulas that can edit, save, and delete PostgreSQL data. The following three steps show how you can automate the following task: Search PostgreSQL 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 PostgreSQLConnection1, or a connection string. The connection string consists of the required properties for connecting to PostgreSQL data, separated by semicolons.
To connect to PostgreSQL, set the Server, Port (the default port is 5432), and Database connection properties and set the User and Password you wish to use to authenticate to the server. If the Database property is not specified, the data provider connects to the user's default database.
You can use SSH (Secure Shell) to authenticate with PostgreSQL, 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 PostgreSQL via SSH in Password Auth mode, set the following connection properties:
To connect to PostgreSQL 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=PostgreSQL",B7)
👁 Formula inputs used in this example. (Google Apps is shown.)Download a free trial of the Excel Add-In for PostgreSQL to get started:
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👁 PostgreSQL IconThe PostgreSQL Excel Add-In is a powerful tool that allows you to connect with live data from PostgreSQL Server databases, directly from Microsoft Excel.
Use Excel to read, write, and update PostgreSQL data. Perfect for mass imports / exports / updates, data cleansing & de-duplication, Excel based data analysis, and more!