Debezium Series: Deploying Debezium Tutorials on Kubernetes

Title: Debezium Tutorial Series: Deploying Debezium Real-time Data Change Capture on Kubernetes

Abstract: This tutorial will guide you to deploy Debezium on Kubernetes, which is a powerful open source platform for capturing and processing data changes of databases in real time. We will detail the steps to install and configure Debezium in a Kubernetes cluster for a reliable flow of data change events.

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Deploying Debezium in a Kubernetes environment can help you build a reliable real-time data change stream. The following are the detailed steps to deploy Debezium on Kubernetes:

1. Create a Kubernetes cluster:

   • First, prepare a working Kubernetes cluster. You can choose to use various Kubernetes distributions, such as Kubernetes-native, Minikube, MicroK8s, etc.

2. Deploy Debezium Operator:

   • Debezium Operator is deployed in the Kubernetes cluster, which is a key component for managing Debezium instances. You can deploy Debezium Operator into a cluster with the following command:

     kubectl apply -f https://github.com/debezium/debezium/releases/download/1.7.0/debezium-1.7.0.yaml

3. Create a Debezium instance:

   • Create a Debezium instance using the kubectl command. You can configure it according to your needs, such as selecting the database to capture, the target location of the change event, and so on. Here is an example configuration file:

     apiVersion: dbz.debezium.io/v1alpha1
     kind: DebeziumConnector
     metadata:
       name: my-connector
     spec:
       class: io.debezium.connector.mysql.MySqlConnector
       tasksMax: 1
       config:
         database.hostname: <数据库主机名>
         database.port: <数据库端口>
         database.user: <数据库用户名>
         database.password: <数据库密码>
         database.server.id: 184054
         database.server.name: my-db
         database.whitelist: <数据库名称>
         database.history.kafka.bootstrap.servers: <Kafka引导服务器>
         database.history.kafka.topic: <Kafka主题>

     Save the above configuration file as  debezium.yamland then use the following command to create a Debezium instance:

     kubectl apply -f debezium.yaml

4. Monitor the Debezium instance:

   • Monitor the running status of the Debezium instance with the following command:

     kubectl get debeziumconnectors

   • You will see status information for the Debezium instance you created.

5. Handle data change events:

   • After successfully deploying Debezium, it will start capturing and processing data change events of the database.
   • You can subscribe to data change events that Debezium sends to a specified Kafka topic and use them in subsequent processing.

Through the above steps, Debezium is successfully deployed in the Kubernetes cluster and starts to capture data change events of the database in real time. This gives you a powerful tool for building real-time data streaming applications and services. Hope this tutorial helps you!