Integrate RabbitMQ Data in Pentaho Data Integration

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Build ETL pipelines based on RabbitMQ data in the Pentaho Data Integration tool.

The CData API Driver for JDBC enables access to live data from data pipelines. Pentaho Data Integration is an Extraction, Transformation, and Loading (ETL) engine that data, cleanses the data, and stores data using a uniform format that is accessible.This article shows how to connect to RabbitMQ data as a JDBC data source and build jobs and transformations based on RabbitMQ data in Pentaho Data Integration.

Configure to RabbitMQ Connectivity

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:

  1. Ensure the RabbitMQ Management plugin is enabled on your server (rabbitmq-plugins enable rabbitmq_management).
  2. Use an existing management user or create one with the appropriate management tag (management, policymaker, monitoring, or administrator).
  3. 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

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the RabbitMQ JDBC Driver. Either 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 and copy the connection string to the clipboard.

When you configure the JDBC URL, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Below is a typical JDBC URL:

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

Save your connection string for use in Pentaho Data Integration.

Connect to RabbitMQ from Pentaho DI

Open Pentaho Data Integration and select "Database Connection" to configure a connection to the CData API Driver for JDBC

  1. Click "General"
  2. Set Connection name (e.g. RabbitMQ Connection)
  3. Set Connection type to "Generic database"
  4. Set Access to "Native (JDBC)"
  5. Set Custom connection URL to your RabbitMQ connection string (e.g.
    jdbc:api:Profile=C:\profiles\\RabbitMQ.apip;AuthScheme=Basic;URL=http://localhost:15672;User=guest;Password=guest;
  6. Set Custom driver class name to "cdata.jdbc.api.APIDriver"
  7. Test the connection and click "OK" to save.

Create a Data Pipeline for RabbitMQ

Once the connection to RabbitMQ is configured using the CData JDBC Driver, you are ready to create a new transformation or job.

  1. Click "File" >> "New" >> "Transformation/job"
  2. Drag a "Table input" object into the workflow panel and select your RabbitMQ connection.
  3. Click "Get SQL select statement" and use the Database Explorer to view the available tables and views.
  4. Select a table and optionally preview the data for verification.

At this point, you can continue your transformation or jb by selecting a suitable destination and adding any transformations to modify, filter, or otherwise alter the data during replication.

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 Pentaho Data Integration today.

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