How do I configure a Kubernetes kafka.strimzi.io KafkaConnector with Pulumi?
In this example, we will configure a KafkaConnector on a Kubernetes cluster using Pulumi. We will use the kafka.strimzi.io
custom resource definition (CRD) to create a KafkaConnector that connects to a Kafka cluster. The KafkaConnector will be configured to use a source connector that reads data from a specified source and writes it to a Kafka topic.
Key Points
- We will define a KafkaConnector custom resource using the
kafka.strimzi.io
API group. - The KafkaConnector will be configured with necessary parameters such as the class of the connector, tasks, and configuration properties.
- Pulumi will be used to manage the deployment of the KafkaConnector on the Kubernetes cluster.
import * as pulumi from "@pulumi/pulumi";
import * as k8s from "@pulumi/kubernetes";
// Define the KafkaConnector custom resource
const kafkaConnector = new k8s.apiextensions.CustomResource("my-kafka-connector", {
apiVersion: "kafka.strimzi.io/v1beta2",
kind: "KafkaConnector",
metadata: {
name: "my-connector",
namespace: "default",
},
spec: {
class: "io.confluent.connect.jdbc.JdbcSourceConnector", // Specify the connector class
tasksMax: 1, // Number of tasks
config: {
"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector",
"tasks.max": "1",
"connection.url": "jdbc:postgresql://postgres:5432/mydb",
"connection.user": "myuser",
"connection.password": "mypassword",
"table.whitelist": "mytable",
"mode": "incrementing",
"incrementing.column.name": "id",
"topic.prefix": "my-topic-",
"poll.interval.ms": "1000"
}
}
});
// Export the name of the KafkaConnector
export const kafkaConnectorName = kafkaConnector.metadata.name;
Summary
In this example, we configured a KafkaConnector custom resource on a Kubernetes cluster using Pulumi. We defined the KafkaConnector with the necessary parameters, including the connector class, tasks, and configuration properties. Pulumi was used to manage the deployment of the KafkaConnector, ensuring that it is correctly configured and deployed on the Kubernetes cluster.
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