SoFunction
Updated on 2025-04-08

Detailed explanation of the integration methods and steps of Debezium and Apache Kafka

1. Integration Overview

The integration of Debezium and Apache Kafka is mainly implemented through Kafka Connect.

Kafka Connect is a distributed platform for data integration, and Debezium, as the Source Connector of Kafka Connect, is responsible for capturing and sending database change data to Kafka.

2. Integration steps

1. Prepare the Kafka environment

Install Kafka: Make sure you have installed and started Kafka and Zookeeper. If using Docker, you can start Kafka and Zookeeper by referring to the following commands:

docker run -d --name zookeeper -p 2181:2181 -e ZOOKEEPER_CLIENT_PORT=2181 confluentinc/cp-zookeeper:latest
docker run -d --name kafka -p 9092:9092 --link zookeeper:zookeeper -e KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181 -e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://localhost:9092 -e KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR=1 confluentinc/cp-kafka:latest

2. Configure Kafka Connect

Download and install Kafka Connect: Make sure Kafka Connect is installed and configured.

Configure Kafka Connect: EditFile, set the Kafka cluster address and plug-in path:

=localhost:9092
=/path/to/your/plugins

3. Install Debezium Connector

Download the Debezium Connector plug-in: Download the corresponding Debezium Connector plug-in according to your database type (such as MySQL, PostgreSQL, etc.).

Unzip and place the plug-in: Unzip the downloaded plug-in to the plug-in directory of Kafka Connect.

4. Start Kafka Connect

Start Kafka Connect: Start Kafka Connect with the following command:

bin/ config/

5. Register Debezium Connector

Create Connector configuration file: Create a JSON format configuration file according to your database type and requirements. For example, for a MySQL database:

{
  "name": "mysql-connector",
  "config": {
    "": "",
    "": "1",
    "": "localhost",
    "": "3306",
    "": "debezium",
    "": "dbz",
    "": "184054",
    "": "dbserver1",
    "": "mydatabase",
    "": "",
    "": "localhost:9092",
    "": ""
  }
}

Register Connector: Register Connector through the REST API of Kafka Connect:

curl -i -X POST -H "Accept:application/json" -H "Content-Type:application/json" http://localhost:8083/connectors/ -d @

6. Verify integration

View Connector status: View Connector status with the following command:

curl http://localhost:8083/connectors/mysql-connector/status

Check Kafka Topic: View the generated Topic in Kafka to make sure the data is flowing in.

3. Things to note

  • Database configuration: Make sure that the database has the corresponding parameters configured, such as MySQL's binlog or PostgreSQL's wal_level.
  • Plugin Path: Make sure Kafka Connect is configured correctly and points to the directory where the Debezium plugin is located.
  • Network problem: If using Docker, make sure that Kafka Connect and the database can communicate properly.

Through the above steps, you can integrate Debezium with Apache Kafka to achieve real-time capture and synchronization of database change data.

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