Consider a situation where you want to direct the output of different records to different topics, like a "topic exchange." In this tutorial, you'll learn how to instruct Kafka Streams to choose the output topic at runtime, based on information in each record's header, key, or value.
builder.stream(INPUT_TOPIC, Consumed.with(stringSerde, orderSerde))
.mapValues(orderProcessingSimulator)
.to(orderTopicNameExtractor, Produced.with(stringSerde, completedOrderSerde));
Here's our example topology. To dynamically route records to different topics, you'll use an instance of the TopicNameExtractor. As shown in here, you provide the TopicNameExtractor to the overloaded KStream.to.
Here's the TopicNameExtractor used in this example. It uses information from the value to determine which topic Kafka Streams should use for this record.
final TopicNameExtractor<String, CompletedOrder> orderTopicNameExtractor = (key, completedOrder, recordContext) -> {
final String compositeId = completedOrder.id();
final String skuPart = compositeId.substring(compositeId.indexOf('-') + 1, 5);
final String outTopic;
if (skuPart.equals("QUA")) {
outTopic = SPECIAL_ORDER_OUTPUT_TOPIC;
} else {
outTopic = OUTPUT_TOPIC;
}
return outTopic;
};
The TopicNameExtractor interface has one method, extract, which makes it suitable for using a lambda, as shown here. But remember using a concrete class has the advantage of being directly testable.