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Messaging
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Messaging that can be both input and output of the process execution.
This is realised by message start and end events that require
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message name which maps to the actual channel that delivers messages
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message payload which maps to a process instance variable
Configuration of the marshalling is dependant on the actual messaging solution being used.
Complete project can be used as source reference
Install Apache Kafka in the preferred way and create new topics needed
Add following into the pom.xml of the application.
<dependency>
<groupId>io.quarkus</groupId>
<artifactId>quarkus-smallrye-reactive-messaging-kafka</artifactId>
</dependency>
Edit application.properties
file located under src/main/resources
and add following entries
Add following for message start event
mp.messaging.incoming.travellers.connector=smallrye-kafka
mp.messaging.incoming.travellers.topic=travellers
mp.messaging.incoming.travellers.value.deserializer=org.apache.kafka.common.serialization.StringDeserializer
where .travellers.
is the name that matches the message name of the message start event.
Add following for message end event
mp.messaging.outgoing.processedtravellers.connector=smallrye-kafka
mp.messaging.outgoing.processedtravellers.topic=processedtravellers
mp.messaging.outgoing.processedtravellers.value.serializer=org.apache.kafka.common.serialization.StringSerializer
where .processedtravellers.
is the name that matches the message name of the message end event.
Under heavy load for producer there might be error thrown in case the back pressure is overloaded. Use following property to disable waiting for completion which should make the overall throughput higher
mp.messaging.outgoing.[channel-name].waitForWriteCompletion=false
Complete project can be used as source reference
Install Apache Kafka in the preferred way and create new topics needed.
Add following into the pom.xml of the application.
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
<dependency>
<groupId>com.fasterxml.jackson.core</groupId>
<artifactId>jackson-databind</artifactId>
</dependency>
Edit application.properties
file located under src/main/resources
and add following entries
Add following for message start event
kafka.bootstrapAddress=localhost:9092
Following beans should be created to support incoming messages from Kafka to start process instances
@EnableKafka
@Configuration
public class KafkaConsumerConfig {
@Value(value = "${kafka.bootstrapAddress}")
private String bootstrapAddress;
public ConsumerFactory<String, String> consumerFactory() {
Map<String, Object> props = new HashMap<>();
props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
props.put(ConsumerConfig.GROUP_ID_CONFIG, "travellers-group");
return new DefaultKafkaConsumerFactory<>(props, new StringDeserializer(), new StringDeserializer());
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
return factory;
}
}
Following beans should be created to support incoming messages from Kafka to start process instances
@Configuration
public class KafkaProducerConfig {
@Value(value = "${kafka.bootstrapAddress}")
private String bootstrapAddress;
@Bean
public ProducerFactory<String, String> producerFactory() {
Map<String, Object> configProps = new HashMap<>();
configProps.put(JsonSerializer.ADD_TYPE_INFO_HEADERS, false);
configProps.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapAddress);
configProps.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
configProps.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return new DefaultKafkaProducerFactory<>(configProps);
}
@Bean
public KafkaTemplate<String, String> kafkaTemplate() {
return new KafkaTemplate<>(producerFactory());
}
}