Access Live Adobe Experience Manager 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 Adobe Experience Manager data when paired with the CData JDBC Driver for Adobe Experience Manager. This article describes how to connect to and query Adobe Experience Manager 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 Adobe Experience Manager data. When you issue complex SQL queries to Adobe Experience Manager, the driver pushes supported SQL operations, like filters and aggregations, directly to Adobe Experience Manager 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 Adobe Experience Manager data using native data types.

Step 1: Gather connection properties and build a connection string

Download the CData JDBC Driver for Adobe Experience Manager installer, unzip the package, and run the JAR file to install the driver. Then gather the required connection properties.

The driver connects to Adobe Experience Manager (AEM) instances that expose the JCR repository over WebDAV. It supports both on-premises AEM and AEM as a Cloud Service deployments.

To establish a connection, set the following properties:

• URL: The WebDAV-enabled JCR server URL.
  • AEM as a Cloud Service: https://author-pXXXXX-eXXXXX.adobeaemcloud.com/crx/server
  • Local development: http://localhost:4502/crx/server
• User: Your AEM username.
• Password: Your AEM password.

Note: Tables are dynamically generated based on the JCR repository structure. Ensure that the configured user has sufficient permissions to access the required content paths in the AEM repository.

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 Adobe Experience Manager JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.adobeexperiencemanager.jar

Fill in the connection properties (including the RTK) and copy the connection string to the clipboard.

Step 2: Create a project in IntelliJ

1. In IntelliJ IDEA, click New Project.
2. Select "Maven Archetype" from the Generators
3. Name the project and select "maven.archetypes:maven-archetype-quickstart" Archetype.
4. Click "Create"

Install the CData JDBC Driver for Adobe Experience Manager 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 JDBC Driver for Adobe Experience Manager 20XX/lib/cdata.jdbc.adobeexperiencemanager.jar" -DgroupId="org.cdata.connectors" -DartifactId="cdata-adobeexperiencemanager-connector" -Dversion="23" -Dpackaging=jar

Add Dependencies

Within the Maven project's pom.xml file, add AWS and the CData JDBC Driver for Adobe Experience Manager] 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 JDBC Driver for Adobe Experience Manager

  <dependency>
     <groupId>org.cdata.connectors</groupId>
     <artifactId>cdata-adobeexperiencemanager-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

1. 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:
   1. Constructs a SQL query using the input
   2. Registers the CData JDBC Driver for Adobe Experience Manager
   3. Establishes a connection to Adobe Experience Manager using JDBC
   4. Executes the SQL query on Adobe Experience Manager
   5. Prints the results to the console
   6. Returns an output message

2. 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";
       try {
         Class.forName("cdata.jdbc.adobeexperiencemanager.AdobeExperienceManagerDriver");
         cdata.jdbc.adobeexperiencemanager.AdobeExperienceManagerDriver driver = new cdata.jdbc.adobeexperiencemanager.AdobeExperienceManagerDriver();
         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:adobeexperiencemanager:RTK=52465...;URL=https://author-p12345-e67890.adobeaemcloud.com/crx/server;User=admin;Password=admin;");
       } 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.

1. 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.

2. Create a new function in AWS Lambda (or open an existing one).
3. 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).
4. Click "Upload from" -> ".zip file" and select your SNAPSHOT JAR file.
5. In the "Runtime settings" section, click "Edit" and set Handler to your "handleRequest" method (e.g. package.class::handleRequest)
6. 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 JDBC Driver for Adobe Experience Manager and start working with your live Adobe Experience Manager data in AWS Lambda. Reach out to our Support Team if you have any questions.