Spring Cloud Stream & Kafka Confluent Avro Schema Registry

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  • spring-cloud-stream-samples

    Samples for Spring Cloud Stream

    In this demo, based on the schema-registry-confluent-avro-serializer sample, we will create three Spring Cloud Stream applications, one consumer and two producers, all of them using the Confluent Schema Registry Server and the Confluent Avro Serializers.

  • gradle-avro-plugin

    A Gradle plugin to allow easily performing Java code generation for Apache Avro. It supports JSON schema declaration files, JSON protocol declaration files, and Avro IDL files.

    As we do not use maven like the schema-registry-confluent-avro-serializer sample, we cannot use the official avro-maven-plugin. We will use davidmc24/gradle-avro-plugin instead.

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  • spring-cloud-stream-kafka-confluent-avro-schema-registry

    🍀 Spring Cloud Stream Kafka & Confluent Avro Schema Registry

    We will use a docker-compose.yml based on the one from confluent/cp-all-in-one both to run it locally and to execute the integration tests. From that configuration we will keep only the containers: zookeeper, broker, schema-registry and control-center.

  • cp-all-in-one

    docker-compose.yml files for cp-all-in-one , cp-all-in-one-community, cp-all-in-one-cloud, Apache Kafka Confluent Platform

    We will use a docker-compose.yml based on the one from confluent/cp-all-in-one both to run it locally and to execute the integration tests. From that configuration we will keep only the containers: zookeeper, broker, schema-registry and control-center.

  • initializr

    A quickstart generator for Spring projects

    Just to keep it simple we will put the consumer and the two producers as modules of a gradle multi-module project, with a little help of spring initializr.

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