An example which shows how to integrate Camel with Kafka avro to make use of avro serialize/deserializer

start confluent schema registry but before this kafka server should be started: ./bin/schema-registry-start etc/schema-registry/schema-registry.properties

register_schema.py is simple custom python script to register the employee.avsc schema in confluent schema registry python3.6 src/main/resources/register_schema.py http://localhost:8081 employees-avro src/main/resources/avro/employee.avsc Schema Registry URL: http://localhost:8081 Topic: employees-avro Schema file: src/main/resources/avro/employee.avsc Success

[camel-example-kafka-avro]$ curl --noproxy '*' http://localhost:8081/subjects/employees-avro-value/versions/1 {"subject":"employees-avro-value","version":1,"id":2,"schema":"{\"type\":\"record\",\"name\":\"Employee\",\"namespace\":\"com.example.kafkatutorials\",\"fields\":[{\"name\":\"firstName\",\"type\":\"string\"},{\"name\":\"lastName\",\"type\":\"string\"},{\"name\":\"birthDate\",\"type\":\"long\"}]}"}

To delete: curl -X DELETE http://localhost:8081/subjects/topic-value/versions/version-no

This example requires that Kafka Server is up and running.

You will need to create following topics before you run the examples.

On windows run

On linux run

You will need to compile this example first:

Run the consumer first in separate shell

camel-context.xml file has both kafka-producer and kafka-consumer routes defined to produce/consume messages to topic my-topic.

Press Ctrl-C to exit.

You can configure the details in the file: src/main/resources/application.properties

You can enable verbose logging by adjusting the src/main/resources/log4j2.properties file as documented in the file.

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The Camel riders!