Sample Concurrency

Open Liberty sample application demonstrating Jakarta Concurrency

Note: The sample is currently using a Beta build of Open Liberty.

Environment Setup

To run this sample, first download or clone this repo - to clone:

git clone git@github.com:OpenLiberty/sample-concurrency.git

Requires Java 21 for virtual threads. IBM Semuru Runtimes Java 21 can be obtained here

Set Up MongoDB

You will need a MongoDB instance to use this sample. If you have Docker installed, you can use the following command to start a mongo container:

docker run -d -p 27017:27017 --name liberty_mongo mongo:8.0.3

Running the Sample

From inside the sample-concurrency directory, build and start the application in Open Liberty with the following command:

./mvnw liberty:dev

Once the server has started, the application is available at http://localhost:9080

Try it out

The sample application has three buttons, one for each of the endpoints in the application. When you select the Schedule button, a scheduled async method will be started, incrementing a counter every three seconds. The second button, ContextualFlow, starts a reactive stream, which inserts a document in a mongo database. The result of the insert is emitted by a publisher in the MongoDb driver. A contexutalized Flow.Subscriber is used to receive the result, and if successful, lookup and return a string from java:comp/env context. The third button, VirtualThreads, runs 100,000 virtual threads, each of which sleeps for 1 second before returning.

How it works

This application provides a few REST endpoints to demonstrate some of the new features of Jakarta Concurrency 3.1. The endpoints are available in ConcurrencyService.java.

Schedule

The first endpoint /schedule demonstrates the @Schedule annotation on an asynchronous method. The asynchronous method is in the ConcurrencyBean CDI Bean.

@Asynchronous(runAt = { @Schedule(cron = "*/3 * * * * *")}) // Every 3 Seconds
void counter() {
    count++;

After the method is called, it will run asynchronously on a schedule set by the provided cron string. This results in the count increasing every 3 seconds.

Contextual Flow

The second endpoint /contextualFlow demonstrates using ContextService to contextualize a Flow.Subscriber. In ConcurrencyService the endpoint uses the MongoDB Reactive Streams driver to insert a document in a MongoDB database. The result of the insert is provided via a Publisher, which publishes the result asynchronously, with no mechanism to configure an executor. ContextService.contextualSubscriber is used to contextualize the Flow.Subscriber which subscribes to the Publisher.

public void contextualFlow() {
    mongo.insertOne(Document.parse("{\"test\" : \"data\"}"))
         .subscribe(FlowAdapters.toSubscriber(contextService.contextualSubscriber(subscriber)));
}

With this, context is available in the MongoSubscriber, demonstrated by a JNDI lookup in java:comp/env. The provided message is set in the web.xml.

public void onNext(InsertOneResult item) {
    ...
    String replySuccess = (String) new InitialContext().lookup("java:comp/env/replySuccess");

Virtual Threads

The final endpoint /virtualThreads demonstrates a ManagedExecutor configured to use Virtual Threads. This is done in ConcurrencyService, using @ManagedExecutorDefinition to define a ManagedExecutorService which uses virtual threads by specifying virtual = true.

@ManagedExecutorDefinition(name = "java:module/concurrent/virtual-executor",
                           qualifiers = WithVirtualThreads.class,
                           virtual = true)
...
public class ConcurrencyService {

Since WithVirtualThreads.class is specified as a qualifier, the ManagedExecutorService with virtual threads can be injected by specifying @WithVirtualThreads.

    @Inject
    @WithVirtualThreads
    ManagedExecutorService virtualManagedExecutor;

This ManagedExecutor is used to create 100,000 threads, which is trivial with Virtual Threads, but likely to run out of memory with Platform Threads.

for (int i = 1; i < 100_000; i++) {
    futures.add(virtualManagedExecutor.submit(() -> {
...
            Thread.sleep(Duration.ofSeconds(1));   

Stop MongoDB

When you are done trying out the sample application, you can stop the MongoDB container with:

docker stop liberty_mongo

Where to go next

Check out the Jakarta Concurrency Specification on GitHub: https://github.com/jakartaee/concurrency.

If you want to learn more about Open Liberty, check out the guides: https://openliberty.io/guides/

You can make suggestions or report bugs by opening an issue, or star this repository to show you're interested.