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Extend Google Sheets with SAS Data Sets Data
Make calls to the API Server from Google Apps Script.
Interact with SAS Data Sets data from Google Sheets through macros, custom functions, and add-ons. The CData API Server enables connectivity to SAS Data Sets data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for SAS Data Sets.
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 restaurants data and, as you make changes, executes updates to SAS Data Sets data.
Set Up the API Server
Follow the steps below to begin producing secure SAS Data Sets 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 SAS Data Sets
After you deploy the API Server, provide authentication values and other connection properties needed to connect to SAS Data Sets by clicking Settings -> Connections and adding a new connection in the API Server administration console.
Set the following connection properties to connect to your SAS DataSet files:
Connecting to Local Files
- Set the Connection Type to "Local." Local files support SELECT, INSERT, and DELETE commands.
- Set the URI to a folder containing SAS files, e.g. C:\PATH\TO\FOLDER\.
Connecting to Cloud-Hosted SAS DataSet Files
While the driver is capable of pulling data from SAS DataSet files hosted on a variety of cloud data stores, INSERT, UPDATE, and DELETE are not supported outside of local files in this driver.
Set the Connection Type to the service hosting your SAS DataSet files. A unique prefix at the beginning of the URI connection property is used to identify the cloud data store and the remainder of the path is a relative path to the desired folder (one table per file) or single file (a single table). For more information, refer to the Getting Started section of the Help documentation.
You can then choose the SAS Data Sets 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 SAS Data Sets 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/restaurants?select=Id,name,borough,cuisine";
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 restaurants = JSON.parse(json).value;
var cols = [["Id","name","borough","cuisine"]];
sheet.getRange(1,1,1,4).setValues(cols);
row=2;
for(var i in restaurants){
for (var j in restaurants[i]) {
switch (j) {
case "Id":
a1.offset(row,0).setValue(account[i][j]);
break;
case "name":
a1.offset(row,1).setValue(account[i][j]);
break;
case "borough":
a1.offset(row,2).setValue(account[i][j]);
break;
case "cuisine":
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 SAS Data Sets 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/restaurants("+id+")";
var putdata = "{\"@odata.type\" : \"CDataAPI.restaurants\", \""+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 SAS Data Sets data.
