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

⇱ Excel Spreadsheet Automation on PostgreSQL Data with the QUERY Formula


Excel Spreadsheet Automation on PostgreSQL Data with the QUERY Formula

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

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:

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

    SSH Connectivity for PostgreSQL

    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).

    SSH Connections to PostgreSQL in Password Auth Mode

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

    • User: PostgreSQL User name
    • Password: PostgreSQL Password
    • Database: PostgreSQL database name
    • Server: PostgreSQL Server name
    • Port: PostgreSQL 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 PostgreSQL in Public Key Auth Mode

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

    • User: PostgreSQL User name
    • Password: PostgreSQL Password
    • Database: PostgreSQL database name
    • Server: PostgreSQL Server name
    • Port: PostgreSQL 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 PostgreSQL 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=PostgreSQL",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 PostgreSQL to get started:

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Excel Add-In for PostgreSQL

The 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!