Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:
Mocking is an essential part of unit testing, and the Mockito library makes it easy to write clean and intuitive unit tests for your Java code.
Get started with mocking and improve your application tests using our Mockito guide:
Handling concurrency in an application can be a tricky process with many potential pitfalls. A solid grasp of the fundamentals will go a long way to help minimize these issues.
Get started with understanding multi-threaded applications with our Java Concurrency guide:
Spring 5 added support for reactive programming with the Spring WebFlux module, which has been improved upon ever since. Get started with the Reactor project basics and reactive programming in Spring Boot:
Since its introduction in Java 8, the Stream API has become a staple of Java development. The basic operations like iterating, filtering, mapping sequences of elements are deceptively simple to use.
But these can also be overused and fall into some common pitfalls.
To get a better understanding on how Streams work and how to combine them with other language features, check out our guide to Java Streams:
Get started with Spring and Spring Boot, through the Learn Spring course:
>> LEARN SPRINGExplore Spring Boot 3 and Spring 6 in-depth through building a full REST API with the framework:
Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.
I built the security material as two full courses - Core and OAuth, to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project.
You can explore the course here:
Spring Data JPA is a great way to handle the complexity of JPA with the powerful simplicity of Spring Boot.
Get started with Spring Data JPA through the guided reference course:
Refactor Java code safely β and automatically β with OpenRewrite.
Refactoring big codebases by hand is slow, risky, and easy to put off. Thatβs where OpenRewrite comes in. The open-source framework for large-scale, automated code transformations helps teams modernize safely and consistently.
Each month, the creators and maintainers of OpenRewrite at Moderne run live, hands-on training sessions β one for newcomers and one for experienced users. Youβll see how recipes work, how to apply them across projects, and how to modernize code with confidence.
Join the next session, bring your questions, and learn how to automate the kind of work that usually eats your sprint time.
1. Overview
In this tutorial, weβll see how we can implement Server-Sent-Events-based APIs with Spring.
Simply put, Server-Sent-Events, or SSE for short, is an HTTP standard that allows a web application to handle a unidirectional event stream and receive updates whenever server emits data.
Spring 4.2 version already supported it, but starting with Spring 5, we now have a more idiomatic and convenient way to handle it.
2. SSE with Spring 6 Webflux
To achieve this, we can make use of implementations such as the Flux class provided by the Reactor library, or potentially the ServerSentEvent entity, which gives us control over the events metadata.
2.1. Stream Events Using Flux
Flux is a reactive representation of a stream of events β itβs handled differently based on the specified request or response media type.
To create an SSE streaming endpoint, weβll have to follow the W3C specifications and designate its MIME type as text/event-stream:
@GetMapping(path = "/stream-flux", produces = MediaType.TEXT_EVENT_STREAM_VALUE)
public Flux<String> streamFlux() {
return Flux.interval(Duration.ofSeconds(1))
.map(sequence -> "Flux - " + LocalTime.now().toString());
}
The interval method creates a Flux that emits long values incrementally. Then we map those values to our desired output.
Letβs start our application and try it out by browsing the endpoint then.
Weβll see how the browser reacts to the events being pushed second by second by the server. For more information about Flux and the Reactor Core, we can check out this post.
2.2. Making Use of the ServerSentEvent Element
Weβll now wrap our output String into a ServerSentSevent object, and examine the benefits of doing this:
@GetMapping("/stream-sse")
public Flux<ServerSentEvent<String>> streamEvents() {
return Flux.interval(Duration.ofSeconds(1))
.map(sequence -> ServerSentEvent.<String> builder()
.id(String.valueOf(sequence))
.event("periodic-event")
.data("SSE - " + LocalTime.now().toString())
.build());
}
As we can appreciate, thereβre a couple of benefits of using the ServerSentEvent entity:
- we can handle the events metadata, which weβd need in a real case scenario
- we can ignore βtext/event-streamβ media type declaration
In this case, we specified an id, an event name, and, most importantly, the actual data of the event.
Also, we couldβve added a comments attribute, and a retry value, which will specify the reconnection time to be used when trying to send the event.
2.3. Consuming the Server-Sent Events with a WebClient
Now letβs consume our event stream with a WebClient.:
public void consumeSSE() {
WebClient client = WebClient.create("http://localhost:8080/sse-server");
ParameterizedTypeReference<ServerSentEvent<String>> type
= new ParameterizedTypeReference<ServerSentEvent<String>>() {};
Flux<ServerSentEvent<String>> eventStream = client.get()
.uri("/stream-sse")
.retrieve()
.bodyToFlux(type);
eventStream.subscribe(
content -> logger.info("Time: {} - event: name[{}], id [{}], content[{}] ",
LocalTime.now(), content.event(), content.id(), content.data()),
error -> logger.error("Error receiving SSE: {}", error),
() -> logger.info("Completed!!!"));
}
The subscribe method allows us to indicate how weβll proceed when we receive an event successfully, when an error occurs, and when the streaming is completed.
In our example, we used the retrieve method, which is a simple and straightforward way of getting the response body.
This method automatically throws a WebClientResponseException if we receive a 4xx or 5xx response unless we handle the scenarios adding an onStatus statement.
On the other hand, we couldβve used the exchange method as well, which provides access to the ClientResponse and also doesnβt error-signal on failing responses.
We have to keep into consideration that we can bypass the ServerSentEvent wrapper if we donβt need the event metadata.
3. SSE Streaming in Spring MVC
As we said, the SSE specification was supported since Spring 4.2, when the SseEmitter class was introduced.
In simple terms, weβll define an ExecutorService, a thread where the SseEmitter will do its work pushing data, and return the emitter instance, keeping the connection open in this manner:
@GetMapping("/stream-sse-mvc")
public SseEmitter streamSseMvc() {
SseEmitter emitter = new SseEmitter();
ExecutorService sseMvcExecutor = Executors.newSingleThreadExecutor();
sseMvcExecutor.execute(() -> {
try {
for (int i = 0; true; i++) {
SseEventBuilder event = SseEmitter.event()
.data("SSE MVC - " + LocalTime.now().toString())
.id(String.valueOf(i))
.name("sse event - mvc");
emitter.send(event);
Thread.sleep(1000);
}
} catch (Exception ex) {
emitter.completeWithError(ex);
}
});
return emitter;
}
Always make sure to pick the right ExecutorService for your use-case scenario.
We can learn more about SSE in Spring MVC and have a look at other examples by reading this interesting tutorial.
4. Understanding Server-Sent Events
Now that we know how to implement SSE endpoints, letβs try to go a little bit deeper by understanding some underlying concepts.
An SSE is a specification adopted by most browsers to allow streaming events unidirectionally at any time.
The βeventsβ are just a stream of UTF-8 encoded text data that follow the format defined by the specification.
This format consists of a series of key-value elements (id, retry, data and event, which indicates the name) separated by line breaks.
Comments are supported as well.
The spec doesnβt restrict the data payload format in any way; we can use a simple String or a more complex JSON or XML structure.
One last point we have to take into consideration is the difference between using SSE streaming and WebSockets.
While WebSockets offer full-duplex (bi-directional) communication between the server and the client, while SSE uses uni-directional communication.
Also, WebSockets isnβt an HTTP protocol and, opposite to SSE, it doesnβt offer error-handling standards.
5. Conclusion
To sum up, in this article weβve learned the main concepts of SSE streaming, which is undoubtedly a great resource that will let us create next-generation systems.
We are now in an excellent position to understand what is happening under the hood when we use this protocol.
