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Implement the "Register Dataset" services


You will extend your application with the "Register Dataset" SAP Cloud Platform predictive service


You will learn

  • How to add a SAPUI5 controller to interact with the “Register Dataset” SAP Cloud Platform predictive service in your SAPUI5 application
  • How to add a SAPUI5 view to display the output of the “Register Dataset” SAP Cloud Platform predictive service call
  • How to extend the default view and the newly created view

Note: if you are running into some issue, you can check the SAP Predictive services Troubleshooting guide to diagnose the most common ones.

Step 1: Open SAP Web IDE

Log into the SAP Cloud Platform Cockpit with your free trial account on Europe (Rot) - Trial and access “Your Personal Developer Account”.

Click on your SAP Cloud Platform Account Name as highlighted on the below screenshot.

SAP Cloud Platform Cockpit

On the left side bar, you can navigate in Services, then using the search box enter Web IDE.


Click on the tile, then click on Open SAP Web IDE.


You will get access to the SAP Web IDE main page:


This will open the SAP Web IDE where you have previously created the predictive application using the project template.

HTML5 Applications
Step 2: Create a new controller

The controller will contain a function where:

  • we process the call to the “Register Dataset” SAP Predictive services and return the dataset identifier along with the dataset description.

Create a new directory structure for webapp/controller/dataset either using the “File” menu or using the right click menu.

Create a new file register.controller.js in webapp/controller/dataset either using the “File” menu or using the right click menu.

Open the webapp/controller/dataset/register.controller.js file and add the following code:

], function(Controller, MessageToast) {
	"use strict";

	return Controller.extend("pspredictive.controller.dataset.register", {
		onInit: function() {
			if (typeof sap.ui.getCore().getModel() === 'undefined') {
				this.getView().setModel(new sap.ui.model.json.JSONModel(), "dataset_register");
		register: function(oEvent) {
			// set the busy indicator to avoid multi clicks
			var oBusyIndicator = new sap.m.BusyDialog();;

			var oList = this.getView().byId(oEvent.getSource().getCustomData()[0].getValue());
			// define the service parameters
			var param = {
				hanaURL: oList.getSelectedItem().getKey()

			// get the current view
			var oView = this.getView();

			// get the model
			var oModel = oView.getModel("dataset_register");

			// call the service and define call back methods
				headers: {
					'Accept': 'application/json',
					'Content-Type': 'application/json'
				url: "/ps/api/analytics/dataset/sync",
				type: "POST",
				data: JSON.stringify(param),
				dataType: "json",
				async: false,
				success: function(data) {
					try {
						//Save data set description data in the model
						oModel.setProperty("/dataset", data);
					} catch (err) {"Caught - dataset register[ajax success] :" + err.message);
				error: function(request, status, error) {"Caught - dataset register[ajax error] :" + request.responseText);

Click on the Save Button button (or press CTRL+S)

Step 3: Create a new view

The view will contain:

  • a select list with the list of dataset (built manually)
  • a button that will trigger the “Register Dataset” service
  • a table with the returned data

Note: the reason we use here a static select list is to avoid user errors.
This list can be dynamically generated using an additional HANA XS OData service, that will select the proper tables from the HANA database.


Create a new directory structure for webapp/view/dataset either using the “File” menu or using the right click menu.

Create a new file register.view.xml in webapp/view/dataset either using the “File” menu or using the right click menu.

Open the webapp/view/dataset/register.view.xml file and add the following code:

<mvc:View controllerName="pspredictive.controller.dataset.register" xmlns:html="" xmlns:mvc="sap.ui.core.mvc"
	xmlns:core="sap.ui.core" xmlns="sap.m" xmlns:form="sap.ui.layout.form" xmlns:table="sap.ui.table"
	<form:SimpleForm title="Please select a dataset from the list then press Register">
			<InputListItem label="Datasets">
				<Select id="idSelectDataset">
					<core:Item key="PSDEMO/CashFlow" text="Cash Flow (PSDEMO/CashFlow)"/>
					<core:Item key="PSDEMO/Census" text="Census (PSDEMO/Census)"/>
					<core:Item key="PSDEMO/Transactions" text="E-Commerce transactions (PSDEMO/Transactions)"/>
		<FlexBox><Button text="Register dataset" type="Default" press="register" custom:input="idSelectDataset"/></FlexBox>
	<Panel expandable="false" expanded="true" visible="{= typeof ${dataset_register>/dataset} !== 'undefined'}">
		<form:Form editable="false" class="isReadonly">
				<core:Title text="Dataset Registration Details"/>
				<form:ResponsiveGridLayout columnsL="1" columnsM="1"/>
						<form:FormElement label="Dataset ID">
								<Text text="{dataset_register>/dataset/ID}"/>
						<form:FormElement label="Dataset Name">
								<Text text="{dataset_register>/dataset/name}"/>
						<form:FormElement label="Number Of rows">
								<Text text="{dataset_register>/dataset/numberOfRows}"/>
						<form:FormElement label="Number Of Columns">
								<Text text="{dataset_register>/dataset/numberOfColumns}"/>
		<table:Table rows="{dataset_register>/dataset/variables}" enableBusyIndicator="true" selectionMode="None" visibleRowCount="5" width="100%">
					<Label text="Position"/>
						<Text text="{dataset_register>position}"/>
					<Label text="Name"/>
						<Text text="{dataset_register>name}"/>
					<Label text="Storage"/>
						<Text text="{dataset_register>storage}"/>
					<Label text="Value Type"/>
						<Text text="{dataset_register>value}"/>

Click on the Save Button button (or press CTRL+S)

Step 4: Extend the default view

Edit the demo.view.xml file located in the webapp/view.

Inside the <detailPages> element, uncomment the following element:

<mvc:XMLView viewName="pspredictive.view.dataset.register"/>

Click on the Save Button button (or press CTRL+S)

Step 5: Run the application

Then, click on the Run icon Run Applications or press ALT+F5.

On the left panel, you should see an item labeled Dataset Services, click on it. Then click on Register

Select the dataset you want to register from the list, then press the Register Dataset button.

Et voilà!

Solution: Created and modified files

In case you are having problems when running the application, please find bellow the created and modified files:

The complete project can be found on the SAP Tutorial public GitHub repository.

However, you won’t be able to clone the repository and directly run the code from the current directory structure. You have to copy the predictive directory content into your existing project directory.

Make sure you check the LICENSE before starting using its content.

Next Steps

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