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 Azure Synapse Data
Make calls to the API Server from Google Apps Script.
Interact with Azure Synapse data from Google Sheets through macros, custom functions, and add-ons. The CData API Server, when paired with the ADO.NET Provider for Azure Synapse (or any of 200+ other ADO.NET Providers), enables connectivity to Azure Synapse data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for Azure Synapse and any source supported by the CData ADO.NET Providers.
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 Products data and, as you make changes, executes updates to Azure Synapse data.
Set Up the API Server
Follow the steps below to begin producing secure Azure Synapse OData services:
Deploy
The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.
The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.
Connect to Azure Synapse
After you deploy the API Server and the ADO.NET Provider for Azure Synapse, provide authentication values and other connection properties needed to connect to Azure Synapse by clicking Settings -> Connections and adding a new connection in the API Server administration console.
Connecting to Azure Synapse
In addition to providing authentication (see below), set the following properties to connect to a Azure Synapse database:
- Server: The server running Azure. You can find this by logging into the Azure portal and navigating to Azure Synapse Analytics -> Select your database -> Overview -> Server name.
- Database: The name of the database, as seen in the Azure portal on the Azure Synapse Analytics page.
Authenticating to Azure Synapse
Connect to Azure Synapse using the following properties:
- User: The username provided for authentication with Azure.
- Password: The password associated with the authenticating user.
You can then choose the Azure Synapse entities you want to allow the API Server to access by clicking Settings -> Resources.
Authorize API Server Users
After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address: Connections from all addresses except localhost are blocked by default, so you will need to allow connections from Google's servers for this article. You can authenticate as well as encrypt connections with SSL.
Retrieve Azure Synapse 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/Products?select=Id,Id,ProductName,ProductName";
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 products = JSON.parse(json).value;
var cols = [["Id","Id","ProductName","ProductName"]];
sheet.getRange(1,1,1,4).setValues(cols);
row=2;
for(var i in products){
for (var j in products[i]) {
switch (j) {
case "Id":
a1.offset(row,0).setValue(account[i][j]);
break;
case "Id":
a1.offset(row,1).setValue(account[i][j]);
break;
case "ProductName":
a1.offset(row,2).setValue(account[i][j]);
break;
case "ProductName":
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 Azure Synapse 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/Products("+id+")";
var putdata = "{\"@odata.type\" : \"CDataAPI.Products\", \""+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 Azure Synapse data.
