Upgrade from Lovelace M3 to Lovelace RC1 for examples requiring Lovelace. Upgrade to latest stable MongoDB drivers. Adapt to API changes. Un-pin examples that were previously bound to Spring Data Kay.
Spring Data MongoDB - Change Streams Example
This project contains usage samples for consuming MongoDB 3.6 Change Streams using the imperative as well as the reactive MongoDB Java drivers.
Imperative Style
Change stream events can be consumed using a MessageListener registered within a MessageListenerContainer. The container takes care of running the task in a separate Thread pushing events to the MessageListener.
@Configuration
class Config {
@Bean
MessageListenerContainer messageListenerContainer(MongoTemplate template) {
return new DefaultMessageListenerContainer(template);
}
}
Once the MessageListenerContainer is in place MessageListeners can be registered.
MessageListener<ChangeStreamDocument<Document>, Person> messageListener = (message) -> {
System.out.println("Hello " + message.getBody().getFirstname());
};
ChangeStreamRequest<Person> request = ChangeStreamRequest.builder()
.collection("person")
.filter(newAggregation(match(where("operationType").is("insert"))))
.publishTo(messageListener)
.build();
Subscription subscription = messageListenerContainer.register(request, Person.class);
// ...
Reactive Style
Change stream events be directly consumed via a Flux connected to the change stream.
Flux changeStream = reactiveTemplate
.changeStream(newAggregation(match(where("operationType").is("insert"))),
Person.class, ChangeStreamOptions.empty(), "person");
changeStream.doOnNext(event -> System.out.println("Hello " + event.getBody().getFirstname()))
.subscribe();