Access Live RabbitMQ Data in AWS Lambda (with IntelliJ IDEA)

Dibyendu Datta
Lead Technology Evangelist

Connect to live RabbitMQ data in AWS Lambda using IntelliJ IDEA and the CData JDBC Driver to build the function.

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 RabbitMQ data when paired with the CData API Driver for JDBC. This article describes how to connect to and query RabbitMQ 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 RabbitMQ data. When you issue complex SQL queries to RabbitMQ, the driver pushes supported SQL operations, like filters and aggregations, directly to RabbitMQ 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 RabbitMQ 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.

About RabbitMQ Management HTTP API

RabbitMQ is an open-source message broker that supports multiple messaging protocols. The RabbitMQ Management HTTP API provides HTTP-based access to management and monitoring data for a RabbitMQ server. The API exposes information about virtual hosts, exchanges, queues, bindings, connections, channels, consumers, users, permissions, policies, and cluster-wide statistics.

The Management plugin must be enabled on the RabbitMQ server for the HTTP API to be available. By default, the management interface listens on port 15672.

Using Basic Authentication

RabbitMQ Management HTTP API uses HTTP Basic authentication. You must supply the username and password of a RabbitMQ management user.

To enable access to the management API:

Ensure the RabbitMQ Management plugin is enabled on your server (rabbitmq-plugins enable rabbitmq_management).
Use an existing management user or create one with the appropriate management tag (management, policymaker, monitoring, or administrator).
Note the full base URL of your RabbitMQ Management HTTP API (e.g., http://localhost:15672).

After configuring your RabbitMQ server, set the following connection properties to connect:

AuthScheme: Set this to Basic.
URL: Set this to the base URL of your RabbitMQ Management HTTP API (e.g., http://localhost:15672).
User: Set this to your RabbitMQ management username (e.g., guest).
Password: Set this to your RabbitMQ management password.

Example connection string:

Profile=C:\profiles\RabbitMQ.apip;AuthScheme=Basic;URL=http://localhost:15672;User=guest;Password=guest;

Available Tables

The RabbitMQ profile provides access to the following tables:

Overview - Cluster-wide statistics and information about the RabbitMQ node
Nodes - Information about individual nodes in the RabbitMQ cluster
NodeMemory - Detailed memory usage breakdown for a specific cluster node
Connections - List of all open AMQP connections to the broker
Channels - List of all open AMQP channels across all connections
Consumers - List of all consumers registered across all queues
Exchanges - List of exchanges declared across all virtual hosts
Queues - List of queues declared across all virtual hosts
Bindings - List of all bindings between exchanges and queues
VirtualHosts - List of virtual hosts configured on the broker
VhostPermissions - User permissions within a specific virtual host
Users - List of all RabbitMQ users
Permissions - Permission records for all users across all virtual hosts
TopicPermissions - Topic-level permission records for all users
Policies - List of policies applied to queues and exchanges in virtual hosts
OperatorPolicies - List of operator policies applied to queues in virtual hosts
Parameters - List of component parameters (e.g., federation, shovel) per virtual host
GlobalParameters - List of global parameters that apply across all virtual hosts
VhostLimits - Resource limits configured for specific virtual hosts
UserLimits - Resource limits configured for specific users
FeatureFlags - List of feature flags and their enabled/disabled state on the node
DeprecatedFeatures - List of deprecated features and their usage state
AuthAttempts - Authentication attempt statistics for the node
ClusterName - The name of the RabbitMQ cluster
WhoAmI - Information about the currently authenticated management user
ExchangeBindingsSource - Bindings for which a specific exchange is the source
ExchangeBindingsDestination - Bindings for which a specific exchange is the destination
QueueBindings - Bindings for a specific queue within a virtual host

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 RabbitMQ JDBC Driver. Double-click the JAR file or execute the jar file from the command line.

java -jar cdata.jdbc.api.jar

Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)

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

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.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\\RabbitMQ.apip;AuthScheme=Basic;URL=http://localhost:15672;User=guest;Password=guest;");
    } 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 RabbitMQ data in AWS Lambda. Reach out to our Support Team if you have any questions.

Ready to get started?

Connect to live data from RabbitMQ with the API Driver

Connect to RabbitMQ

CData is the data layer that makes AI work in production—live connectivity and replication across hundreds of the most critical enterprise sources, semantic context, and built-in governance. Powering AI for Databricks, Microsoft, Google, Palantir, and 10,000+ customers worldwide.