Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →Extend Google Sheets with Redshift Data
Make calls to the API Server from Google Apps Script.
Interact with Redshift data from Google Sheets through macros, custom functions, and add-ons. The CData API Server enables connectivity to Redshift data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for Redshift.
Google Apps Script can consume these OData services in the JSON format. This article shows how to create a simple add-on that populates a Google Spreadsheet with Orders data and, as you make changes, executes updates to Redshift data.
Set Up the API Server
If you have not already done so, download the CData API Server. Once you have installed the API Server, follow the steps below to begin producing secure Redshift OData services:
Connect to Redshift
To work with Redshift data from Google Sheets, we start by creating and configuring a Redshift connection. Follow the steps below to configure the API Server to connect to Redshift data:
- First, navigate to the Connections page.
-
Click Add Connection and then search for and select the Redshift connection.
-
Enter the necessary authentication properties to connect to Redshift.
To connect to Redshift, set the following:
- Server: Set this to the host name or IP address of the cluster hosting the Database you want to connect to.
- Port: Set this to the port of the cluster.
- Database: Set this to the name of the database. Or, leave this blank to use the default database of the authenticated user.
- User: Set this to the username you want to use to authenticate to the Server.
- Password: Set this to the password you want to use to authenticate to the Server.
You can obtain the Server and Port values in the AWS Management Console:
- Open the Amazon Redshift console (http://console.aws.amazon.com/redshift).
- On the Clusters page, click the name of the cluster.
- On the Configuration tab for the cluster, copy the cluster URL from the connection strings displayed.
- After configuring the connection, click Save & Test to confirm a successful connection.
Configure API Server Users
Next, create a user to access your Redshift data through the API Server. You can add and configure users on the Users page. Follow the steps below to configure and create a user:
- On the Users page, click Add User to open the Add User dialog.
-
Next, set the Role, Username, and Privileges properties and then click Add User.
-
An Authtoken is then generated for the user. You can find the Authtoken and other information for each user on the Users page:
Creating API Endpoints for Redshift
Having created a user, you are ready to create API endpoints for the Redshift tables:
-
First, navigate to the API page and then click
Add Table
.
-
Select the connection you wish to access and click Next.
-
With the connection selected, create endpoints by selecting each table and then clicking Confirm.
Gather the OData Url
Having configured a connection to Redshift data, created a user, and added resources to the API Server, you now have an easily accessible REST API based on the OData protocol for those resources. From the API page in API Server, you can view and copy the API Endpoints for the API:

Retrieve Redshift Data
Open the Script Editor from your spreadsheet by clicking Tools -> Script Editor. In the Script Editor, add the following function to populate a spreadsheet with the results of an OData query:
function retrieve(){
var url = "https://MyUrl/api.rsc/Orders?select=Id,ShipName,ShipCity,ShipCountry";
var response = UrlFetchApp.fetch(url,{
headers: {"Authorization": "Basic " + Utilities.base64Encode("MyUser:MyAuthtoken")}
});
var json = response.getContentText();
var sheet = SpreadsheetApp.getActiveSheet();
var a1 = sheet.getRange('a1');
var index=1;
var orders = JSON.parse(json).value;
var cols = [["Id","ShipName","ShipCity","ShipCountry"]];
sheet.getRange(1,1,1,4).setValues(cols);
row=2;
for(var i in orders){
for (var j in orders[i]) {
switch (j) {
case "Id":
a1.offset(row,0).setValue(account[i][j]);
break;
case "ShipName":
a1.offset(row,1).setValue(account[i][j]);
break;
case "ShipCity":
a1.offset(row,2).setValue(account[i][j]);
break;
case "ShipCountry":
a1.offset(row,3).setValue(account[i][j]);
break;
}
}
row++;
}
}
Follow the steps below to add an installable trigger to populate the spreadsheet when opened:
- Click Resources -> Current Project's Triggers -> Add a New Trigger.
- Select retrieve in the Run menu.
- Select From Spreadsheet.
- Select On open.
After closing the dialog, you are prompted to allow access to the application.
Post Changes to Redshift Data
Add the following function to post changes to cells back to the API Server:
function buildReq(e){
var sheet = SpreadsheetApp.getActiveSheet();
var changes = e.range;
var id = sheet.getRange(changes.getRow(),1).getValue();
var col = sheet.getRange(1,changes.getColumn()).getValue();
var url = "http://MyServer/api.rsc/Orders("+id+")";
var putdata = "{\"@odata.type\" : \"CDataAPI.Orders\", \""+col+"\": \""+changes.getValue()+"\"}";;
UrlFetchApp.fetch(url,{
method: "put",
contentType: "application/json",
payload: putdata,
headers: {"Authorization": "Basic " + Utilities.base64Encode("MyUser:MyAuthtoken")}
});
}
Follow the steps below to add the update trigger:
- Click Resources -> Current Project's Triggers.
- Select buildReq in the Run menu.
- Select From Spreadsheet.
- Select On edit.
You can test the script by clicking Publish -> Test as Add-On. Select the version, installation type, and spreadsheet to create a test configuration. You can then select and run the test configuration.
As you make changes to cells, the API Server executes updates to Redshift data.