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Pruning confluent-schema-registy-integration sample
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README.adoc

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This repository contains a collection of applications written using Spring Cloud Stream. All the applications are self-contained.
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They can be run against either Kafka or RabbitMQ middleware technologies.
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You have the option of running the samples against local or Docker containerized versions of Kafka and Rabbit.
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For convenience, `docker-compose.yml` files are provided as part of each application wherever it is applicable.
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For this reason, Docker Compose is required and it’s recommended to use the https://docs.docker.com/compose/install/[latest version].
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These compose files bring up the middleware (kafka or Rabbit) and other necessary components for running each app.
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If you bring up Kafka or RabbitMQ in Docker containers, please make sure that you bring them down while in the same sample directory.
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You can read the README that is part of each sample and follow along the instructions to run them.
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You can build the entire samples by going to the root of the repository and then do: `./mvnw clean package`
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You can build the entire samples by going to the root of the repository and then execute: `./mvnw clean package`.
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However, the recommended approach to build them is to pick the sample that you are interested in and go to that particular app and follow the instructions there in the README for that app.
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=== Provided Sample Applications
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Below, you can find the list of all the provided sample applications.
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==== Confluent Schema Registry Integration
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This set of sample applications show how Spring Cloud Stream Kafka applications integrate with Confluent Schema Registry.
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You can find more details at link:confluent-schema-registry-integration/README.adoc[README].
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confluent-schema-registry-integration/README.adoc

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* Apache Kafka broker available at `localhost:9092`
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* Confluent Schema Registry available at `localhost:8081`
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TIP: The included link:../../../tools/kafka/docker-compose/README.adoc#_all_the_things[Kafka tools] can be used to easily start a broker and schema registry locally on the required coordinates
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TIP: The included link:../tools/kafka/docker-compose/README.adoc#_all_the_things[Kafka tools] can be used to easily start a broker and schema registry locally on the required coordinates
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****
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==== Steps

confluent-schema-registry-integration/pom.xml

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<module>confluent-schema-registry-integration-producer2</module>
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</modules>
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<properties>
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<avro.version>1.11.0</avro.version>
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<confluent.version>7.0.1</confluent.version>
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<spring-cloud.version>2023.0.0-SNAPSHOT</spring-cloud.version>
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</properties>
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<build>
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</plugin>
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</plugins>
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</pluginManagement>
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<plugins>
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<plugin>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-maven-plugin</artifactId>
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</plugin>
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</plugins>
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</build>
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<dependencies>

pom.xml

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<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
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<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
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<java.version>17</java.version>
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<avro.version>1.11.0</avro.version>
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<confluent.version>7.0.1</confluent.version>
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<spring-cloud.version>2023.0.0-SNAPSHOT</spring-cloud.version>
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<spring-cloud-stream.version>4.0.3</spring-cloud-stream.version>
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</properties>
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