dropwizard-kafka

Provides easy integration for Dropwizard applications with the Apache Kafka client.

This bundle comes with out-of-the-box support for:

YAML Configuration integration
Producer and Consumer lifecycle management
Producer and Cluster connection health checks
Metrics integration for the Kafka client
An easier way to create/configure Kafka consumers/producers than is offered by the base Kafka client
Distributed tracing integration, using the Brave Kafka client instrumentation library.

For more information on Kafka, take a look at the official documentation here: http://kafka.apache.org/documentation/

Dropwizard Version Support Matrix

dropwizard-kafka	Dropwizard v1.3.x	Dropwizard v2.0.x
v1.3.x	✅	✅
v1.4.x	✅	✅
v1.5.x	✅	✅
v1.6.x		✅

Usage

Add dependency on library.

Maven:

<dependency>
  <groupId>io.dropwizard.modules</groupId>
  <artifactId>dropwizard-kafka</artifactId>
  <version>1.6.0</version>
</dependency>

Gradle:

compile "io.dropwizard.modules:dropwizard-kafka:$dropwizardVersion"

Basic Kafka Producer

In your Dropwizard Configuration class, configure a KafkaProducerFactory:

@Valid
@NotNull
@JsonProperty("producer")
private KafkaProducerFactory<String, String> kafkaProducerFactory;

Then, in your Application class, you'll want to do something similar to the following:

private final KafkaProducerBundle<String, String, ExampleConfiguration> kafkaProducer = new KafkaProducerBundle<String, String, ExampleConfiguration>() {
    @Override
    public KafkaProducerFactory<String, String> getKafkaProducerFactory(ExampleConfiguration configuration) {
        return configuration.getKafkaProducerFactory();
    }
};

@Override
public void initialize(Bootstrap<ExampleConfiguration> bootstrap) {
    bootstrap.addBundle(kafkaProducer);
}

@Override
public void run(ExampleConfiguration config, Environment environment) {
    final PersonEventProducer personEventProducer = new PersonEventProducer(kafkaProducer.getProducer());
    environment.jersey().register(new PersonEventResource(personEventProducer));
}

Configure your factory in your config.yml file:

producer:
  type: basic
  bootstrapServers:
    - 127.0.0.1:9092
    - 127.0.0.1:9093
    - 127.0.0.1:9094
  name: producerNameToBeUsedInMetrics
  keySerializer:
    type: string
  valueSerializer:
    type: string
  acks: all
  retries: 2147483647 # int max value
  maxInFlightRequestsPerConnection: 1
  maxPollBlockTime: 10s
  security:
    securityProtocol: sasl_ssl
    sslProtocol: TLSv1.2
    saslMechanism: PLAIN
    saslJaas: "org.apache.kafka.common.security.plain.PlainLoginModule required username=\"<username>\" password=\"<password>\";"

Basic Kafka Consumer

In your Dropwizard Configuration class, configure a KafkaConsumerFactory:

@Valid
@NotNull
@JsonProperty("consumer")
private KafkaConsumerFactory<String, String> kafkaConsumerFactory;

Then, in your Application class, you'll want to do something similar to the following:

private final KafkaConsumerBundle<String, String, ExampleConfiguration> kafkaConsumer = new KafkaConsumerBundle<String, String, ExampleConfiguration>() {
    @Override
    public KafkaConsumerFactory<String, String> getKafkaConsumerFactory(ExampleConfiguration configuration) {
        return configuration.getKafkaConsumerFactory();
    }
};

@Override
public void initialize(Bootstrap<ExampleConfiguration> bootstrap) {
    bootstrap.addBundle(kafkaConsumer);
}

@Override
public void run(ExampleConfiguration config, Environment environment) {
    final PersonEventConsumer personEventConsumer = new PersonEventConsumer(kafkaConsumer.getConsumer());
    personEventConsumer.startConsuming();
}

Configure your factory in your config.yml file:

consumer: 
  type: basic
  bootstrapServers:
    - 127.0.0.1:9092
    - 127.0.0.1:9093
    - 127.0.0.1:9094
  consumerGroupId: consumer1
  name: consumerNameToBeUsedInMetrics  
  keyDeserializer:
    type: string
  valueDeserializer:
    type: string
  security:
    securityProtocol: sasl_ssl
    sslProtocol: TLSv1.2
    saslMechanism: PLAIN
    saslJaas: "org.apache.kafka.common.security.plain.PlainLoginModule required username=\"<username>\" password=\"<password>\";"

Using an older version of the Kafka Client

This library should remain backwards compatible, such that you can override the version of the kafka client that this library includes. If this becomes no longer possible, we will need to create separate branches for differing major versions of the Kafka client.

For example, say you would like to use version 1.1.1 of the Kafka client. One option would be to explicitly define a dependency on version 1.1.1 of kafka-clients before you declare a dependency on dropwizard-kafka.

<dependencies>
  <dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>1.1.1</version>
  </dependency>
  <dependency>
    <groupId>io.dropwizard</groupId>
    <artifactId>dropwizard-kafka</artifactId>
    <version>${dropwizard.version}</version>
  </dependency>
</dependencies>

Adding support for additional serializers and/or deserializers

In order to support additional serializers or deserializers, you'll need to create a new factory:

@JsonTypeName("my-serializer")
public class MySerializerFactory extends SerializerFactory {

    @NotNull
    @JsonProperty
    private String someConfig;
    
    public String getSomeConfig() {
        return someConfig;
    }
  
    public void setSomeConfig(final String someConfig) {
        this.someConfig = someConfig;
    }


    @Override
    public Class<? extends Serializer> getSerializerClass() {
        return MySerializer.class;
    }
}

Then you will need to add the following files to your src/main/resources/META-INF/services directory in order to support Jackson polymorphic serialization:

File named io.dropwizard.jackson.Discoverable:

io.dropwizard.kafka.serializer.SerializerFactory

File named io.dropwizard.kafka.serializer.SerializerFactory:

package.name.for.your.MySerializerFactory

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