MongoDB Kafka Connector Docker Example¶

Requirements¶

How to Run the Example¶

Clone the mongo-kafka repository from GitHub:

git clone https://github.com/mongodb/mongo-kafka.git

Change directory to the docker directory

cd mongo-kafka/docker/

Start the shell script, run.sh:

./run.sh

The shell script executes the following sequence of commands:

1. Run the docker-compose up command

   The docker-compose command installs and starts the following applications in a new docker container:

   • Zookeeper
   • Kafka
   • Confluent Schema Registry
   • Confluent Kafka Connect
   • Confluent Control Center
   • Confluent KSQL Server
   • Kafka Rest Proxy
   • Kafka Topics UI
   • MongoDB replica set (three nodes: mongo1, mongo2, and mongo3)
2. Wait for MongoDB, Kafka, Kafka Connect to become ready
3. Register the Confluent Datagen Connector
4. Register the MongoDB Kafka Sink Connector
5. Register the MongoDB Kafka Source Connector

Once the services have been started by the shell script, the Datagen Connector publishes new events to Kafka at short intervals which triggers the following cycle:

1. The Datagen Connector publishes new events to Kafka
2. The Sink Connector writes the events into MongoDB
3. The Source Connector writes the change stream messages back into Kafka

To view the Kafka topics, open the Kafka Control Center at http://localhost:9021/ and navigate to the cluster topics.

• The pageviews topic should contain documents added by the Datagen Connector that resemble the following:

  {
    "viewtime": {
      "$numberLong": "81"
    },
    "pageid": "Page_1",
    "userid": "User_8"
  }

• The mongo.test.pageviews topic should contain change events that resemble the following:

  {
    "_id": {
      "_data": "<resumeToken>"
    },
    "operationType": "insert",
    "clusterTime": {
      "$timestamp": {
        "t": 1563461814,
        "i": 4
      }
    },
    "fullDocument": {
      "_id": {
        "$oid": "5d3088b6bafa7829964150f3"
      },
      "viewtime": {
        "$numberLong": "81"
      },
      "pageid": "Page_1",
      "userid": "User_8"
    },
    "ns": {
      "db": "test",
      "coll": "pageviews"
    },
    "documentKey": {
      "_id": {
        "$oid": "5d3088b6bafa7829964150f3"
      }
    }
  }

Next, explore the collection data in the MongoDB replica set:

• In your local shell, navigate to the docker directory from which you ran the docker-compose commands and connect to the mongo1 MongoDB instance using the following command:

  docker-compose exec mongo1 /usr/bin/mongo
• If you insert or update a document in the test.pageviews, the Source Connector publishes a change event document to the mongo.test.pageviews Kafka topic.

To stop the docker containers and all the processes running on them, use Ctrl-C in the shell running the script, or the following command:

docker-compose stop

To remove the docker containers and images completely, use the following command:

docker-compose down