Skip to content

Bridge MQTT Data into RocketMQ


EMQX Enterprise Edition features. EMQX Enterprise Edition provides comprehensive coverage of key business scenarios, rich data integration, product-level reliability, and 24/7 global technical support. Experience the benefits of this enterprise-ready MQTT messaging platform today.

EMQX supports bridging data into RocketMQ, so you can forward MQTT messages and client events to RocketMQ. For example, you can use RocketMQ to collect sensor data from devices, log data, etc.

This page provides a detailed overview of the data integration between EMQX and RocketMQ with practical instructions on creating and validating the data integration.

How It Works

The RocketMQ data integration is an out-of-the-box feature in EMQX that combines the real-time data capturing and transmission capabilities of EMQX with RocketMQ's powerful message queue processing capabilities. With a built-in rule engine component, the integration simplifies the process of ingesting data from EMQX to RocketMQ for storage and management, eliminating the need for complex coding.

The diagram below illustrates a typical architecture of data integration between EMQX and RocketMQ:

EMQX Integration RocketMQ

Ingesting MQTT data into RocketMQ works as follows:

  1. Message publication and reception: Industrial IoT devices establish successful connections to EMQX through the MQTT protocol and publish real-time MQTT data to EMQX. When EMQX receives these messages, it initiates the matching process within its rules engine.
  2. Message data processing: When a message arrives, it passes through the rule engine and is then processed by the rule defined in EMQX. The rules, based on predefined criteria, determine which messages need to be routed to RocketMQ. If any rules specify payload transformations, those transformations are applied, such as converting data formats, filtering out specific information, or enriching the payload with additional context.
  3. Data ingestion into RocketMQ: Once the rule has processed the message, it triggers an action of forwarding the messages to RocketMQ. Processed data will be seamlessly written into RocketMQ.
  4. Data Storage and Utilization: With the data now stored in RocketMQ, businesses can harness its querying power for various use cases. For example, in the financial industry, RocketMQ can be used as a reliable high-performance message queue to store and manage data from payment terminals and transaction systems. It can connect messages to data analysis and regulatory platforms, fulfilling requirements such as risk management, fraud detection and prevention, and regulatory compliance.

Features and Benefits

The data integration with RocketMQ brings the following features and advantages to your business:

  • Reliable IoT Data Message Delivery: EMQX can reliably batch and send MQTT messages to RocketMQ, enabling the integration of IoT devices with RocketMQ and application systems.
  • MQTT Message Transformation: Using the rule engine, EMQX can filter and transform MQTT messages. Messages can undergo data extraction, filtering, enrichment, and transformation before being sent to RocketMQ.
  • Cloud-Native Elastic Scaling: EMQX and RocketMQ are both applications built on cloud-native architecture, offering friendly Kubernetes (K8s) support and integration with the cloud-native ecosystem. They can infinitely and elastically scale to accommodate the rapid development of business needs.
  • Flexible Topic Mapping: RocketMQ data integration supports flexible mapping of MQTT topics to RocketMQ topics, allowing easy configuration of keys (Key) and values (Value) for data in RocketMQ messages.
  • Processing Capabilities in High-Throughput Scenarios: RocketMQ data integration supports both synchronous and asynchronous write modes, allowing for a flexible balance between latency and throughput according to different scenarios.

Before You Start

This section describes the preparations you need to complete before you start to create the RocketMQ data integration, including how to set up the RocketMQ server.


Install RocketMQ

  1. Prepare a docker-compose file, rocketmq.yaml, to set up the RocketMQ.
version: '3.9'

    image: apache/rocketmq:4.9.4
    container_name: rocketmq_namesrv
      - 9876:9876
      - ./rocketmq/logs:/opt/logs
      - ./rocketmq/store:/opt/store
    command: ./mqnamesrv

    image: apache/rocketmq:4.9.4
    container_name: rocketmq_broker
      - 10909:10909
      - 10911:10911
      - ./rocketmq/logs:/opt/logs
      - ./rocketmq/store:/opt/store
      - ./rocketmq/conf/broker.conf:/etc/rocketmq/broker.conf
        NAMESRV_ADDR: "rocketmq_namesrv:9876"
        JAVA_OPTS: " -Duser.home=/opt"
        JAVA_OPT_EXT: "-server -Xms1024m -Xmx1024m -Xmn1024m"
    command: ./mqbroker -c /etc/rocketmq/broker.conf
      - mqnamesrv
  1. Prepare the folders and configurations required for running RocketMQ.
mkdir rocketmq
mkdir rocketmq/logs
mkdir rocketmq/store
mkdir rocketmq/conf
  1. Save the below content into rocketmq/conf/broker.conf.

brokerIP1=change me to your real IP address





  1. Start the server.
docker-compose -f rocketmq.yaml up
  1. Start a consumer.
docker run --rm -e NAMESRV_ADDR=host.docker.internal:9876 apache/rocketmq:4.9.4 ./ org.apache.rocketmq.example.quickstart.Consumer


In Linux, you should change the host.docker.internal to your real IP address.

Create a Connector

This section demonstrates how to create a Connector to connect the Sink to the RocketMQ server.

The following steps assume that you run both EMQX and RocketMQ on the local machine. If you have RocketMQ and EMQX running remotely, adjust the settings accordingly.

  1. Enter the EMQX Dashboard and click Integration -> Connectors.
  2. Click Create in the top right corner of the page.
  3. On the Create Connector page, select RocketMQ and then click Next.
  4. In the Configuration step, configure the following information:
    • Connector name: Enter a name for the connector, which should be a combination of upper and lower-case letters and numbers, for example: my_rocketmq.
    • Server: Enter
    • Topic: Enter TopicTest.
    • Leave others as default.
  5. Advanced settings (optional): For details, see Features of Sink.
  6. Before clicking Create, you can click Test Connectivity to test if the connector can connect to the RocketMQ server.
  7. Click the Create button at the bottom to complete the creation of the connector. In the pop-up dialog, you can click Back to Connector List or click Create Rule to continue creating rules with Sinks to specify the data to be forwarded to the RocketMQ and record client events. For detailed steps, see Create a Rule with RocketMQ Sink for Message Storage and Create a Rule with RocketMQ Sink for Events Recording.

Create a Rule with RocketMQ Sink for Message Storage

This section demonstrates how to create a rule in the Dashboard for processing messages from the source MQTT topic t/#, and forwarding the processed data to the RocketMQ topic TopicTest via the configured Sink.

  1. Go to EMQX Dashboard, and click Integration -> Rules.

  2. Click Create on the top right corner of the page.

  3. Enter my_rule as the rule ID. To create a rule for message storage, enter the following statement in the SQL Editor, which means the MQTT messages under topic t/# will be saved to RocketMQ.

    Note: If you want to specify your own SQL syntax, make sure that you have included all fields required by the Sink in the SELECT part.



    If you are a beginner user, click SQL Examples and Enable Test to learn and test the SQL rule.

  4. Click the + Add Action button to define an action to be triggered by the rule. With this action, EMQX sends the data processed by the rule to RocketMQ.

  5. Select RocketMQ from the Type of Action dropdown list. Keep the Action dropdown with the default Create Action value. You can also select a Sink if you have created one. This demonstration will create a new Sink.

  6. Enter a name for the Sink. The name should be a combination of upper/lower case letters and numbers.

  7. From the Connector dropdown box, select the my_rocketmq created before. You can also create a new Connector by clicking the button next to the dropdown box. For the configuration parameters, see Create a Connector.

  8. Leave the Template empty by default.


    When this value is empty the whole message will be forwarded to the RocketMQ. The actual value is JSON template data.

  9. Advanced settings (optional): For details, see Features of Sink.

  10. Before clicking Create, you can click Test Connectivity to test that the Sink can be connected to the RocketMQ server.

  11. Click the Create button to complete the Sink configuration. A new Sink will be added to the Action Outputs.

  12. Back on the Create Rule page, verify the configured information. Click the Create button to generate the rule.

You have now successfully created the rule for the RocketMQ Sink. You can see the newly created rule on the Integration -> Rules page. Click the Actions(Sink) tab and you can see the new RocketMQ Sink.

You can also click Integration -> Flow Designer to view the topology and you can see that the messages under topic t/# are sent and saved to RocketMQ after parsing by rule my_rule.

Create a Rule with RocketMQ Sink for Events Recording

This section demonstrates how to create a rule for recording the clients' online/offline status and forwarding the events data to the RocketMQ topic TestTopic via a configured Sink.

The rule creation steps are similar to those in Create a Rule with RocketMQ Sink for Message Storage except for the SQL rule syntax.

The SQL rule syntax for online/offline status recording is as follows:

  "$events/client_connected", "$events/client_disconnected"


For convenience, the TopicTest topic will be reused to receive online/offline events.

Test the Rules

Use MQTTX to send a message to topic t/1 to trigger an online/offline event.

mqttx pub -i emqx_c -t t/1 -m '{ "msg": "hello RocketMQ" }'

Check the running status of the Sink, there should be one new incoming and one new outgoing message.

Check whether the data is forwarded to the TopicTest topic.

The following data will be printed by the consumer.

ConsumeMessageThread_please_rename_unique_group_name_4_1 Receive New Messages: [MessageExt [brokerName=broker-a, queueId=3, storeSize=581, queueOffset=0, sysFlag=0, bornTimestamp=1679037578889, bornHost=/, storeTimestamp=1679037578891, storeHost=/, msgId=AC1A536A00002A9F000000000000060E, commitLogOffset=1550, bodyCRC=7414108, reconsumeTimes=0, preparedTransactionOffset=0, toString()=Message{topic='TopicTest', flag=0, properties={MIN_OFFSET=0, MAX_OFFSET=8, CONSUME_START_TIME=1679037605342, CLUSTER=DefaultCluster}, body=[...], transactionId='null'}]]
ConsumeMessageThread_please_rename_unique_group_name_4_2 Receive New Messages: [MessageExt [brokerName=broker-a, queueId=3, storeSize=511, queueOffset=1, sysFlag=0, bornTimestamp=1679037580174, bornHost=/, storeTimestamp=1679037580176, storeHost=/, msgId=AC1A536A00002A9F0000000000000E61, commitLogOffset=3681, bodyCRC=1604860416, reconsumeTimes=0, preparedTransactionOffset=0, toString()=Message{topic='TopicTest', flag=0, properties={MIN_OFFSET=0, MAX_OFFSET=8, CONSUME_START_TIME=1679037605342, CLUSTER=DefaultCluster}, body=[...], transactionId='null'}]]
ConsumeMessageThread_please_rename_unique_group_name_4_3 Receive New Messages: [MessageExt [brokerName=broker-a, queueId=3, storeSize=458, queueOffset=2, sysFlag=0, bornTimestamp=1679037584933, bornHost=/, storeTimestamp=1679037584934, storeHost=/, msgId=AC1A536A00002A9F000000000000166E, commitLogOffset=5742, bodyCRC=383397630, reconsumeTimes=0, preparedTransactionOffset=0, toString()=Message{topic='TopicTest', flag=0, properties={MIN_OFFSET=0, MAX_OFFSET=8, CONSUME_START_TIME=1679037605342, CLUSTER=DefaultCluster}, body=[...], transactionId='null'}]]