Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions,
see Getting Started with Amazon Web Services in China
(PDF).
Use CreateDataset
with an Amazon SDK or CLI
The following code examples show how to use CreateDataset
.
- Java
-
- SDK for Java 2.x
-
public static String createDataset(PersonalizeClient personalizeClient,
String datasetName,
String datasetGroupArn,
String datasetType,
String schemaArn) {
try {
CreateDatasetRequest request = CreateDatasetRequest.builder()
.name(datasetName)
.datasetGroupArn(datasetGroupArn)
.datasetType(datasetType)
.schemaArn(schemaArn)
.build();
String datasetArn = personalizeClient.createDataset(request)
.datasetArn();
System.out.println("Dataset " + datasetName + " created.");
return datasetArn;
} catch (PersonalizeException e) {
System.err.println(e.awsErrorDetails().errorMessage());
System.exit(1);
}
return "";
}
- JavaScript
-
- SDK for JavaScript (v3)
-
// Get service clients module and commands using ES6 syntax.
import { CreateDatasetCommand } from
"@aws-sdk/client-personalize";
import { personalizeClient } from "./libs/personalizeClients.js";
// Or, create the client here.
// const personalizeClient = new PersonalizeClient({ region: "REGION"});
// Set the dataset's parameters.
export const createDatasetParam = {
datasetGroupArn: 'DATASET_GROUP_ARN', /* required */
datasetType: 'DATASET_TYPE', /* required */
name: 'NAME', /* required */
schemaArn: 'SCHEMA_ARN' /* required */
}
export const run = async () => {
try {
const response = await personalizeClient.send(new CreateDatasetCommand(createDatasetParam));
console.log("Success", response);
return response; // For unit tests.
} catch (err) {
console.log("Error", err);
}
};
run();
For a complete list of Amazon SDK developer guides and code examples, see
Using Amazon Personalize with an Amazon SDK.
This topic also includes information about getting started and details about previous SDK versions.