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spring-cloud-stream-samples/processor-samples/polled-consumer/README.md
Gary Russell a2f642ebe4 GH-65: Add polled-consumer Sample
Resolves https://github.com/spring-cloud/spring-cloud-stream-samples/issues/65

Polishing - PR Comments

- add docker-compose
- change runner to process multiple messages
2018-04-05 18:49:13 -04:00

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Spring Cloud Stream Polled Consumer with Embedded Kafka Broker Sample
=====================================================================
In this *Spring Cloud Stream* sample, an embedded kafka broker is used for testing a polled consumer.
## Requirements
To run this sample, you will need to have installed:
* Java 8 or Above
## Code Tour
This sample is a Spring Boot application that uses Spring Cloud Stream to receive a `String` message and forward an upper case version of that String; it uses the Kafka binder.
It uses a Polled Consumer (rather than a message-driven `@StreamListener`).
* PolledConsumerApplication - the Spring Boot Main Application
* PolledConsumerApplicationTests - the test case
The `spring-kafka-test` dependency added to the `pom.xml` puts the `KafkaEmbedded` JUnit `@Rule` on the class path.
Refer to the [Spring for Apache Kafka Reference Manual](http://docs.spring.io/spring-kafka/reference/htmlsingle/#testing) for more information about this.
Notice how the `@BeforeClass` method sets up the Boot and binder properties to locate the servers.
See the test method for the details on interacting with Embedded Kafka.
The test method starts by sending a message to the input destination.
It then creates a consumer to consume from the output destination; gets the output message and asserts that it's an upper case version of the sent message.
## Building with Maven
Build the sample and run the test by executing:
`./mvnw clean package`
or run the test in your favorite IDE.
=== Running the app:
Go to the root of the repository and do:
`docker-compose up -d`
`./mvnw clean package`
`java -jar target/polled-consumer-0.0.1-SNAPSHOT.jar`
Then send/receive messages to/from the topics.
`$ docker exec -it kafka-polledconsumer /opt/kafka/bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic polledConsumerIn`
On another terminal:
and
`$ docker exec -it kafka-polledconsumer /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic polledConsumerOut --from-beginning`
Once you are done testing, stop the Kafka cluster: `docker-compose down`