Is it safe to manually start a new thread in Java EE?
Introduction
Spawning threads from within a session scoped managed bean is not necessarily a hack as long as it does the job you want. But spawning threads at its own needs to be done with extreme care. The code should not be written that way that a single user can for example spawn an unlimited amount of threads per session and/or that the threads continue running even after the session get destroyed. It would blow up your application sooner or later.
The code needs to be written that way that you can ensure that an user can for example never spawn more than one background thread per session and that the thread is guaranteed to get interrupted whenever the session get destroyed. For multiple tasks within a session you need to queue the tasks. Also, all those threads should preferably be served by a common thread pool so that you can put a limit on the total amount of spawned threads at application level.
Managing threads is thus a very delicate task. That's why you'd better use the built-in facilities rather than homegrowing your own with new Thread() and friends. The average Java EE application server offers a container managed thread pool which you can utilize via among others EJB's @Asynchronous and @Schedule. To be container independent (read: Tomcat-friendly), you can also use the Java 1.5's Util Concurrent ExecutorService and ScheduledExecutorService for this.
Below examples assume Java EE 6+ with EJB.
Fire and forget a task on form submit
@Named
@RequestScoped // Or @ViewScoped
public class Bean {
@EJB
private SomeService someService;
public void submit() {
someService.asyncTask();
// ... (this code will immediately continue without waiting)
}
}
@Stateless
public class SomeService {
@Asynchronous
public void asyncTask() {
// ...
}
}
Asynchronously fetch the model on page load
@Named
@RequestScoped // Or @ViewScoped
public class Bean {
private Future<List<Entity>> asyncEntities;
@EJB
private EntityService entityService;
@PostConstruct
public void init() {
asyncEntities = entityService.asyncList();
// ... (this code will immediately continue without waiting)
}
public List<Entity> getEntities() {
try {
return asyncEntities.get();
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
throw new FacesException(e);
} catch (ExecutionException e) {
throw new FacesException(e);
}
}
}
@Stateless
public class EntityService {
@PersistenceContext
private EntityManager entityManager;
@Asynchronous
public Future<List<Entity>> asyncList() {
List<Entity> entities = entityManager
.createQuery("SELECT e FROM Entity e", Entity.class)
.getResultList();
return new AsyncResult<>(entities);
}
}
In case you're using JSF utility library OmniFaces, this could be done even faster if you annotate the managed bean with @Eager.
Schedule background jobs on application start
@Singleton
public class BackgroundJobManager {
@Schedule(hour="0", minute="0", second="0", persistent=false)
public void someDailyJob() {
// ... (runs every start of day)
}
@Schedule(hour="*/1", minute="0", second="0", persistent=false)
public void someHourlyJob() {
// ... (runs every hour of day)
}
@Schedule(hour="*", minute="*/15", second="0", persistent=false)
public void someQuarterlyJob() {
// ... (runs every 15th minute of hour)
}
@Schedule(hour="*", minute="*", second="*/30", persistent=false)
public void someHalfminutelyJob() {
// ... (runs every 30th second of minute)
}
}
Continuously update application wide model in background
@Named
@RequestScoped // Or @ViewScoped
public class Bean {
@EJB
private SomeTop100Manager someTop100Manager;
public List<Some> getSomeTop100() {
return someTop100Manager.list();
}
}
@Singleton
@ConcurrencyManagement(BEAN)
public class SomeTop100Manager {
@PersistenceContext
private EntityManager entityManager;
private List<Some> top100;
@PostConstruct
@Schedule(hour="*", minute="*/1", second="0", persistent=false)
public void load() {
top100 = entityManager
.createNamedQuery("Some.top100", Some.class)
.getResultList();
}
public List<Some> list() {
return top100;
}
}
See also:
- Spawning threads in a JSF managed bean for scheduled tasks using a timer
Check out EJB 3.1 @Asynchronous methods. This is exactly what they are for.
Small example that uses OpenEJB 4.0.0-SNAPSHOTs. Here we have a @Singleton bean with one method marked @Asynchronous. Every time that method is invoked by anyone, in this case your JSF managed bean, it will immediately return regardless of how long the method actually takes.
@Singleton
public class JobProcessor {
@Asynchronous
@Lock(READ)
@AccessTimeout(-1)
public Future<String> addJob(String jobName) {
// Pretend this job takes a while
doSomeHeavyLifting();
// Return our result
return new AsyncResult<String>(jobName);
}
private void doSomeHeavyLifting() {
try {
Thread.sleep(SECONDS.toMillis(10));
} catch (InterruptedException e) {
Thread.interrupted();
throw new IllegalStateException(e);
}
}
}
Here's a little testcase that invokes that @Asynchronous method several times in a row.
Each invocation returns a Future object that essentially starts out empty and will later have its value filled in by the container when the related method call actually completes.
import javax.ejb.embeddable.EJBContainer;
import javax.naming.Context;
import java.util.concurrent.Future;
import java.util.concurrent.TimeUnit;
public class JobProcessorTest extends TestCase {
public void test() throws Exception {
final Context context = EJBContainer.createEJBContainer().getContext();
final JobProcessor processor = (JobProcessor) context.lookup("java:global/async-methods/JobProcessor");
final long start = System.nanoTime();
// Queue up a bunch of work
final Future<String> red = processor.addJob("red");
final Future<String> orange = processor.addJob("orange");
final Future<String> yellow = processor.addJob("yellow");
final Future<String> green = processor.addJob("green");
final Future<String> blue = processor.addJob("blue");
final Future<String> violet = processor.addJob("violet");
// Wait for the result -- 1 minute worth of work
assertEquals("blue", blue.get());
assertEquals("orange", orange.get());
assertEquals("green", green.get());
assertEquals("red", red.get());
assertEquals("yellow", yellow.get());
assertEquals("violet", violet.get());
// How long did it take?
final long total = TimeUnit.NANOSECONDS.toSeconds(System.nanoTime() - start);
// Execution should be around 9 - 21 seconds
assertTrue("" + total, total > 9);
assertTrue("" + total, total < 21);
}
}
Example source code
Under the covers what makes this work is:
- The
JobProcessorthe caller sees is not actually an instance ofJobProcessor. Rather it's a subclass or proxy that has all the methods overridden. Methods that are supposed to be asynchronous are handled differently. - Calls to an asynchronous method simply result in a
Runnablebeing created that wraps the method and parameters you gave. This runnable is given to an Executor which is simply a work queue attached to a thread pool. - After adding the work to the queue, the proxied version of the method returns an implementation of
Futurethat is linked to theRunnablewhich is now waiting on the queue. - When the
Runnablefinally executes the method on the realJobProcessorinstance, it will take the return value and set it into theFuturemaking it available to the caller.
Important to note that the AsyncResult object the JobProcessor returns is not the same Future object the caller is holding. It would have been neat if the real JobProcessor could just return String and the caller's version of JobProcessor could return Future<String>, but we didn't see any way to do that without adding more complexity. So the AsyncResult is a simple wrapper object. The container will pull the String out, throw the AsyncResult away, then put the String in the real Future that the caller is holding.
To get progress along the way, simply pass a thread-safe object like AtomicInteger to the @Asynchronous method and have the bean code periodically update it with the percent complete.