Extend Google Sheets with Elasticsearch Data

Make calls to the API Server from Google Apps Script.

Interact with Elasticsearch data from Google Sheets through macros, custom functions, and add-ons. The CData API Server enables connectivity to Elasticsearch data from cloud-based and mobile applications like Google Sheets. The API Server is a lightweight Web application that produces OData services for Elasticsearch.

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 Elasticsearch data.

About Elasticsearch Data Integration

Accessing and integrating live data from Elasticsearch has never been easier with CData. Customers rely on CData connectivity to:

Access both the SQL endpoints and REST endpoints, optimizing connectivity and offering more options when it comes to reading and writing Elasticsearch data.
Connect to virtually every Elasticsearch instance starting with v2.2 and Open Source Elasticsearch subscriptions.
Always receive a relevance score for the query results without explicitly requiring the SCORE() function, simplifying access from 3rd party tools and easily seeing how the query results rank in text relevance.
Search through multiple indices, relying on Elasticsearch to manage and process the query and results instead of the client machine.

Users frequently integrate Elasticsearch data with analytics tools such as Crystal Reports, Power BI, and Excel, and leverage our tools to enable a single, federated access layer to all of their data sources, including Elasticsearch.

For more information on CData's Elasticsearch solutions, check out our Knowledge Base article: CData Elasticsearch Driver Features & Differentiators.

Getting Started

Set Up the API Server

Follow the steps below to begin producing secure Elasticsearch 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 Elasticsearch

After you deploy the API Server, provide authentication values and other connection properties needed to connect to Elasticsearch by clicking Settings -> Connections and adding a new connection in the API Server administration console.

Set the Server and Port connection properties to connect. To authenticate, set the User and Password properties, PKI (public key infrastructure) properties, or both. To use PKI, set the SSLClientCert, SSLClientCertType, SSLClientCertSubject, and SSLClientCertPassword properties.

The data provider uses X-Pack Security for TLS/SSL and authentication. To connect over TLS/SSL, prefix the Server value with 'https://'. Note: TLS/SSL and client authentication must be enabled on X-Pack to use PKI.

Once the data provider is connected, X-Pack will then perform user authentication and grant role permissions based on the realms you have configured.

You can then choose the Elasticsearch 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 Elasticsearch 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,OrderName,Freight,ShipCity";
  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","OrderName","Freight","ShipCity"]]; 
  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 "OrderName":
          a1.offset(row,1).setValue(account[i][j]);
          break;
        case "Freight":
          a1.offset(row,2).setValue(account[i][j]);
          break;
        case "ShipCity":
          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 Elasticsearch 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 Elasticsearch data.

Ready to get started?

Learn more or sign up for a free trial:

CData API Server