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Extend Google Sheets with Google Data Catalog Data
Make calls to the API Server from Google Apps Script.
Interact with Google Data Catalog data from Google Sheets through macros, custom functions, and add-ons. The CData API Server, when paired with the ADO.NET Provider for Google Data Catalog (or any of 200+ other ADO.NET Providers), enables connectivity to Google Data Catalog data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for Google Data Catalog 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 Schemas data.
Set Up the API Server
Follow the steps below to begin producing secure Google Data Catalog 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 Google Data Catalog
After you deploy the API Server and the ADO.NET Provider for Google Data Catalog, provide authentication values and other connection properties needed to connect to Google Data Catalog by clicking Settings -> Connections and adding a new connection in the API Server administration console.
Google Data Catalog uses the OAuth authentication standard. Authorize access to Google APIs on behalf on individual users or on behalf of users in a domain.
Before connecting, specify the following to identify the organization and project you would like to connect to:
- OrganizationId: The ID associated with the Google Cloud Platform organization resource you would like to connect to. Find this by navigating to the cloud console.
Click the project selection drop-down, and select your organization from the list. Then, click More -> Settings. The organization ID is displayed on this page.
- ProjectId: The ID associated with the Google Cloud Platform project resource you would like to connect to.
Find this by navigating to the cloud console dashboard and selecting your project from the Select from drop-down. The project ID will be present in the Project info card.
When you connect, the OAuth endpoint opens in your default browser. Log in and grant permissions to the application to completes the OAuth process. For more information, refer to the OAuth section in the Help documentation.
You can then choose the Google Data Catalog 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 Google Data Catalog 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/Schemas?select=Id,Type,DatasetName,ProjectId";
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 schemas = JSON.parse(json).value;
var cols = [["Id","Type","DatasetName","ProjectId"]];
sheet.getRange(1,1,1,4).setValues(cols);
row=2;
for(var i in schemas){
for (var j in schemas[i]) {
switch (j) {
case "Id":
a1.offset(row,0).setValue(account[i][j]);
break;
case "Type":
a1.offset(row,1).setValue(account[i][j]);
break;
case "DatasetName":
a1.offset(row,2).setValue(account[i][j]);
break;
case "ProjectId":
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.
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.
