Access Live UKG Pro WFM Data in AWS Lambda (with IntelliJ IDEA)
AWS Lambda is a compute service that lets you build applications that respond quickly to new information and events. AWS Lambda functions can work with live UKG Pro WFM data when paired with the CData API Driver for JDBC. This article describes how to connect to and query UKG Pro WFM data from an AWS Lambda function built with Maven in IntelliJ.
With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live UKG Pro WFM data. When you issue complex SQL queries to UKG Pro WFM, the driver pushes supported SQL operations, like filters and aggregations, directly to UKG Pro WFM and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). In addition, its built-in dynamic metadata querying allows you to work with and analyze UKG Pro WFM data using native data types.
Step 1: Gather connection properties and build a connection string
Download the CData API Driver for JDBC installer, unzip the package, and run the JAR file to install the driver. Then gather the required connection properties.
Start by setting the Profile connection property to the location of the UKGProWFM Profile on disk (e.g. C:\profiles\UKGProWFM.apip). Next, set the ProfileSettings connection property to the connection string for UKGProWFM (see below).
UKGProWFM API Profile Settings
UKG Pro Workforce Management uses OAuth 2.0 with the Resource Owner Password Credentials grant (grant_type=password) to authorize access to the API. Unlike most OAuth-based profiles, this does not use a browser redirect/authorization-code step: the driver exchanges your UKG Pro WFM username, password, client ID, and client secret directly for an access token.
Set the following connection properties to authenticate:
- AuthScheme: Set this to OAuthPassword.
- Host: Set this to the hostname of your UKG Pro Workforce Management datacenter/tenant (for example, yourcompany.mykronos.com). Do not include the protocol (https://) or a trailing slash.
- OAuthClientId: Set this to the client ID issued for your UKG Pro Workforce Management OAuth application.
- OAuthClientSecret: Set this to the client secret issued for your UKG Pro Workforce Management OAuth application.
- User: Set this to your UKG Pro Workforce Management username.
- Password: Set this to your UKG Pro Workforce Management password.
Access tokens are obtained from https://{Host}/api/authentication/access_token. Refresh tokens issued by UKG Pro Workforce Management expire after 7 days; if a refresh attempt fails because the refresh token itself has expired, the driver must re-authenticate with your User/Password credentials to obtain a new access token.
NOTE: To use the JDBC driver in an AWS Lambda function, you will need a license (full or trial) and a Runtime Key (RTK). For more information on obtaining this license (or a trial), contact our sales team.
Built-in Connection String Designer
For assistance constructing the JDBC URL, use the connection string designer built into the UKG Pro WFM JDBC Driver. Double-click the JAR file or execute the jar file from the command line.
java -jar cdata.jdbc.api.jar
Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.
Step 2: Create a project in IntelliJ
- In IntelliJ IDEA, click New Project.
- Select "Maven Archetype" from the Generators
- Name the project and select "maven.archetypes:maven-archetype-quickstart" Archetype.
- Click "Create"
Install the CData API Driver for JDBC JAR File
Use the following Maven command from the project's root folder to install JAR file in the project.
mvn install:install-file -Dfile="PATH/TO/CData API Driver for JDBC 20XX/lib/cdata.jdbc.api.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-api-connector" -Dversion="23" -Dpackaging=jar
Add Dependencies
Within the Maven project's pom.xml file, add AWS and the CData API Driver for JDBC] as dependencies (within the <dependencies> element) using the following XML.
- AWS
<dependency> <groupId>com.amazonaws</groupId> <artifactId>aws-lambda-java-core</artifactId> <version>1.2.2</version> <!--Replace with the actual version--> </dependency> - CData API Driver for JDBC
<dependency> <groupId>org.cdata.connectors</groupId> <artifactId>cdata-api-connector</artifactId> <version>25</version> <!--Replace with the actual version--> </dependency> - Maven Shade Plugin to create a fat JAR
<build> <plugins> <plugin> <groupId>org.apache.maven.plugins</groupId> <artifactId>maven-shade-plugin</artifactId> <version>3.4.1</version> <executions> <execution> <phase>package</phase> <goals> <goal>shade</goal> </goals> <configuration> <createDependencyReducedPom>false</createDependencyReducedPom> <transformers> <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"> <mainClass>com.example.CDataLambda</mainClass> <!-- Change to your actual Lambda handler class --> </transformer> </transformers> </configuration> </execution> </executions> </plugin> </plugins> </build>
Create an AWS Lambda Function
For this sample project, we create two source files: CDataLambda.java and CDataLambdaTest.java.
Lambda Function Definition
- Update CDataLambda to implement the RequestHandler interface from the AWS Lambda SDK. You will need to add the handleRequest method, which performs the following tasks when the Lambda function is triggered:
- Constructs a SQL query using the input
- Sets up AWS credentials and S3 configuration to store OAuth credentials.
- Registers the CData API Driver for JDBC
- Establishes a connection to UKG Pro WFM using JDBC
- Executes the SQL query on UKG Pro WFM
- Prints the results to the console
- Returns an output message
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Use the complete Lambda class below, which includes the imports, class definition, and handleRequest method. Be sure to fill in your connection string values in the DriverManager.getConnection call.
package com.example; import com.amazonaws.services.lambda.runtime.Context; import com.amazonaws.services.lambda.runtime.RequestHandler; import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.ResultSetMetaData; import java.sql.SQLException; import java.sql.Statement; public class CDataLambda implements RequestHandler < Object, String > { @Override public String handleRequest(Object input, Context context) { String query = "SELECT * FROM " + input; String bucketName = "MY_AWS_BUCKET"; String oauthSettings = "s3://" + bucketName + "/oauth/OAuthSettings.txt"; String oauthConnection = "InitiateOAuth=REFRESH;" + "OAuthSettingsLocation=" + oauthSettings + ";"; try { Class.forName("cdata.jdbc.api.APIDriver"); cdata.jdbc.api.APIDriver driver = new cdata.jdbc.api.APIDriver(); DriverManager.registerDriver(driver); } catch (SQLException ex) { // Registering the driver failed throw new RuntimeException("Failed to register JDBC driver", ex); } catch (ClassNotFoundException e) { // The driver class was not found in the classpath throw new RuntimeException("JDBC Driver class not found", e); } Connection connection = null; try { connection = DriverManager.getConnection("jdbc:cdata:api:RTK=52465...;Profile=C:\profiles\UKGProWFM.apip;AuthScheme=OAuthPassword;ProfileSettings='Host=yourcompany.mykronos.com;User=your_username;Password=your_password;';OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;" + oauthConnection + ""); } catch (SQLException ex) { context.getLogger().log("Error getting connection: " + ex.getMessage()); } catch (Exception ex) { context.getLogger().log("Error: " + ex.getMessage()); } if (connection != null) { context.getLogger().log("Connected Successfully! "); } ResultSet resultSet = null; try { //executing query Statement stmt = connection.createStatement(); resultSet = stmt.executeQuery(query); ResultSetMetaData metaData = resultSet.getMetaData(); int numCols = metaData.getColumnCount(); //printing the results while (resultSet.next()) { for (int i = 1; i <= numCols; i++) { System.out.printf("%-25s", (resultSet.getObject(i) != null) ? resultSet.getObject(i).toString().replaceAll(" ", "") : null); } System.out.print(" "); } } catch (SQLException ex) { System.out.println("SQL Exception: " + ex.getMessage()); } catch (Exception ex) { System.out.println("General exception: " + ex.getMessage()); } return "v24 query: " + query + " complete"; } }
Step 3: Deploy and run the lambda function
Once you build the function in Intellij, you are ready to deploy the entire Maven project as a single JAR file.
- In IntelliJ, use the mvn install command to build the SNAPSHOT JAR file.
Note: The Maven Shade Plugin generates two JARs in the target folder. Always upload the larger -shaded.jar file to AWS Lambda, as it contains all required dependencies.
- Create a new function in AWS Lambda (or open an existing one).
- Name the function, select an IAM role, and set the timeout value to a high enough value to ensure the function completes (depending on the result size of your query).
- Click "Upload from" -> ".zip file" and select your SNAPSHOT JAR file.
- In the "Runtime settings" section, click "Edit" and set Handler to your "handleRequest" method (e.g. package.class::handleRequest)
- You can now test the function. Set the "Event JSON" field to a table name and click, click "Test"
Free Trial & More Information
Download a free 30-day trial of the CData API Driver for JDBC and start working with your live UKG Pro WFM data in AWS Lambda. Reach out to our Support Team if you have any questions.