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Try them now for free →Integrate Real-Time Access to BigQuery in SAPUI5 MVC Apps
Use the built-in ODataModel class in SAPUI5 to create Web apps that reflect changes to BigQuery data in real time.
In this article we show how to use the CData API Server to write SAPUI5 apps that leverage the capabilities of the BigQuery API, without writing to a back-end database. The API Server is a lightweight Web application that runs on your server and produces OData feeds of BigQuery data. OData is the standard for real-time data access over the Web and has built-in support in SAPUI5 and OpenUI5.
About BigQuery Data Integration
CData simplifies access and integration of live Google BigQuery data. Our customers leverage CData connectivity to:
- Simplify access to BigQuery with broad out-of-the-box support for authentication schemes, including OAuth, OAuth JWT, and GCP Instance.
- Enhance data workflows with Bi-directional data access between BigQuery and other applications.
- Perform key BigQuery actions like starting, retrieving, and canceling jobs; deleting tables; or insert job loads through SQL stored procedures.
Most CData customers are using Google BigQuery as their data warehouse and so use CData solutions to migrate business data from separate sources into BigQuery for comprehensive analytics. Other customers use our connectivity to analyze and report on their Google BigQuery data, with many customers using both solutions.
For more details on how CData enhances your Google BigQuery experience, check out our blog post: https://www.cdata.com/blog/what-is-bigquery
Getting Started
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 BigQuery OData services:
Connect to BigQuery
To work with BigQuery data from SAPUI5, we start by creating and configuring a BigQuery connection. Follow the steps below to configure the API Server to connect to BigQuery data:
- First, navigate to the Connections page.
-
Click Add Connection and then search for and select the BigQuery connection.
-
Enter the necessary authentication properties to connect to BigQuery.
Google uses the OAuth authentication standard. To access Google APIs on behalf of individual users, you can use the embedded credentials or you can register your own OAuth app.
OAuth also enables you to use a service account to connect on behalf of users in a Google Apps domain. To authenticate with a service account, register an application to obtain the OAuth JWT values.
In addition to the OAuth values, specify the DatasetId and ProjectId. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.
- After configuring the connection, click Save & Test to confirm a successful connection.
Configure API Server Users
Next, create a user to access your BigQuery 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 BigQuery
Having created a user, you are ready to create API endpoints for the BigQuery 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 BigQuery 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:

Create the View
In this article the user views and interacts with BigQuery data through an SAPUI5 table control. Table columns will be automatically detected from the metadata retrieved from the API Server's API endpoint. We define the following table in a separate View.view.xml file:
<mvc:View
controllerName="sap.ui.table.sample.OData2.Controller"
xmlns="sap.ui.table"
xmlns:mvc="sap.ui.core.mvc"
xmlns:u="sap.ui.unified"
xmlns:c="sap.ui.core"
xmlns:m="sap.m">
<m:Page
showHeader="false"
enableScrolling="false"
class="sapUiContentPadding">
<m:content>
<Table
id="table"
selectionMode="MultiToggle"
visibleRowCount="10"
enableSelectAll="false"
rows="{/Orders}"
threshold="15"
enableBusyIndicator="true"
columns="{
path: 'meta>/dataServices/schema/[${namespace}===\'CData\']/entityType/[${name}===\'Orders\']/property',
factory: '.columnFactory'
}">
<toolbar>
<m:Toolbar>
<m:Title text="BigQuery Orders"></m:Title>
</m:Toolbar>
</toolbar>
<noData>
<m:BusyIndicator class="sapUiMediumMargin"/>
</noData>
</Table>
</m:content>
</m:Page>
</mvc:View>
Create the Model and Controller
In SAPUI5, you do not need to write any OData queries; an ODataModel instance handles the application's data access commands. The API Server then translates the queries into BigQuery API calls.
The controller processes user input and represents information to the user through a view. Define the controller in a new file, Controller.controller.js. Instantiate the model in the onInit function -- you will need to replace the placeholder values for the URL to the API Server, a user allowed to access the OData endpoint of the API Server, and the authtoken for the user.
sap.ui.define([
"sap/ui/core/mvc/Controller",
"sap/ui/model/odata/v2/ODataModel",
"sap/ui/model/json/JSONModel",
"sap/ui/table/Column",
"sap/m/Text",
], function(Controller, ODataModel, JSONModel, Column, Text ) {
"use strict";
return Controller.extend("sap.ui.table.sample.OData2.Controller", {
onInit : function () {
var oView = this.getView();
var oDataModel = new ODataModel("http://myserver/api.rsc/",{user: "MyUser", password: "MyAuthToken"});
oDataModel.getMetaModel().loaded().then(function(){
oView.setModel(oDataModel.getMetaModel(), "meta");
});
oView.setModel(oDataModel);
var oTable = oView.byId("table");
var oBinding = oTable.getBinding("rows");
var oBusyIndicator = oTable.getNoData();
oBinding.attachDataRequested(function(){
oTable.setNoData(oBusyIndicator);
});
oBinding.attachDataReceived(function(){
oTable.setNoData(null); //use default again ("no data" in case no data is available)
});
},
onExit : function () {
},
columnFactory : function(sId, oContext) {
var oModel = this.getView().getModel();
var sName = oContext.getProperty("name");
var sType = oContext.getProperty("type");
var iLen = oContext.getProperty("maxLength");
iLen = iLen ? parseInt(iLen, 10) : 10;
return new Column(sId, {
sortProperty: sName,
filterProperty: sName,
width: (iLen > 9 ? (iLen > 50 ? 15 : 10) : 5) + "rem",
label: new sap.m.Label({text: "{/#Orders/" + sName + "/@name}"}),
hAlign: sType && sType.indexOf("Decimal") >= 0 ? "End" : "Begin",
template: new Text({text: {path: sName}})
});
}
});
});
Describe Application Logic
Create a component that contains the resources of your application. Define the following in Component.js:
sap.ui.define([
'sap/ui/core/UIComponent'
], function(UIComponent) {
"use strict";
return UIComponent.extend("sap.ui.table.sample.OData2.Component", {
metadata : {
rootView : "sap.ui.table.sample.OData2.View",
dependencies : {
libs : [
"sap.ui.table",
"sap.ui.unified",
"sap.m"
]
},
config : {
sample : {
stretch : true,
files : [
"View.view.xml",
"Controller.controller.js"
]
}
}
}
});
});
Bootstrap OpenUI5 and Launch
To complete the MVC application, simply add the bootstrap and initialization code. Add these directly to index.html:
<!DOCTYPE HTML>
<html>
<head>
<meta http-equiv="x-ua-compatible" content="ie=edge">
<meta charset="utf-8">
<title>BigQuery Orders</title>
<script id="sap-ui-bootstrap"
src="https://openui5.hana.ondemand.com/resources/sap-ui-core.js"
data-sap-ui-libs="sap.m"
data-sap-ui-theme="sap_bluecrystal"
data-sap-ui-xx-bindingSyntax="complex"
data-sap-ui-preload="async"
data-sap-ui-compatVersion="edge"
data-sap-ui-resourceroots='{"sap.ui.table.sample.OData2": "./", "sap.ui.demo.mock": "mockdata"}'>
</script>
<!-- application launch configuration -->
<script>
sap.ui.getCore().attachInit(function() {
new sap.m.App ({
pages: [
new sap.m.Page({
title: "BigQuery Orders",
enableScrolling : false,
content: [ new sap.ui.core.ComponentContainer({
height : "100%", name : "sap.ui.table.sample.OData2"
})]
})
]
}).placeAt("content");
});
</script>
</head>
<!-- UI Content -->
<body class="sapUiBody" id="content" role="application">
</body>
</html>
The resulting SAPUI5 table control reflects any changes to a table in the remote BigQuery data. You can now browse and search current BigQuery data.