https://github.com/picadoh/kafka-avro

An example integration of Kafka with Avro schemas
https://github.com/picadoh/kafka-avro

avro example java kafka

Last synced: 4 months ago
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An example integration of Kafka with Avro schemas

• Host: GitHub
• URL: https://github.com/picadoh/kafka-avro
• Owner: picadoh
• Created: 2016-08-21T16:22:18.000Z (almost 10 years ago)
• Default Branch: master
• Last Pushed: 2016-08-21T16:23:09.000Z (almost 10 years ago)
• Last Synced: 2025-08-24T17:31:09.166Z (10 months ago)
• Topics: avro, example, java, kafka
• Language: Java
• Size: 10.7 KB
• Stars: 3
• Watchers: 1
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
### Kafka Producer/Consumer Example

This example implements a Kafka producer and consumer that use a Avro schema mapper to communicate data in the topic.

#### Pre-requisites

- Kafka 0.9.0

- Maven 3

- Java 7/8

#### Setup environment

###### Start Kafka Server

    kafka$ ./bin/zookeeper-server-start.sh config/zookeeper.properties

###### Start Zookeeper Server

    kafka$ ./bin/kafka-server-start.sh config/server.properties

###### Create Kafka Topic

    kafka$ ./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 3 --topic example.test.topic

#### Build application

    project$ mvn clean install

#### Example usage

    String topicName = "example.test.topic";

    // setup schema

    Schema.Parser parser = new Schema.Parser();

    Schema schema = parser.parse(AvroSchemaDefinitionLoader.fromFile("schema/tweet.avro").get());

    // setup the mapper

    DataMapper mapper = new AvroDataMapper(schema);

    // setup consumer

    DataProcessor processor = new AvroDataProcessor();

    KafkaLibConsumer consumer = new KafkaLibConsumer<>(

        topicName,

        PropertiesLoader.fromFile("consumer.properties"),

        mapper,

        processor);

    // set up the producer

    KafkaLibProducer producer = new KafkaLibProducer<>(

        topicName,

        PropertiesLoader.fromFile("producer.properties"),

        mapper);

    GenericData.Record avroRecord = new GenericData.Record(schema);

    avroRecord.put("username", "hugopicado");

    avroRecord.put("tweet", "my #awesome tweet");

    producer.produce(avroRecord);

    consumer.consume();