Loom Virtual Threads in the JDK 19

Loom Virtual Threads in the JDK 19
José Paumard
Java Developer Advocate
Java Platform Group

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Copyright © 2021, Oracle and/or its affiliates |
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https://dev.java/

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https://dev.java/community/

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https://inside.java/

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Don’t believe what I say!
Loom is a Preview Feature / Incubator API

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http://jdk.java.net/loom/

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Copyright © 2021, Oracle and/or its affiliates | Confidential: Internal/Restricted/Highly Restricted
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It all Started with a Runnable…

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1995: Thread, Runnable
1995: Threads and Runnables
Runnable task = new Runnable() {
void run() {
System.out.println("I am running in thread " +
Thread.currentThread().getName());
}
};
Thread thread = new Thread(task);
thread.start();
thread.join(); // blocks

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1995: Thread, Runnable
1995: Threads and Runnables
Object key = new Object();
synchronized(key) {
System.out.println("Only one thread can execute me!");
}

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2004: Java 5, java.util.concurrent
2004: Java Util Concurrent
Callable<String> task = new Callable<String>() {
@Override
public String call() throws Exception {
return "I am running in thread " +
Thread.currentThread().getName();
}
};

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Wait lists inside!
ExecutorService service =
Executors.newFixedThreadPool(4);
Future<String> future = service.submit(task);

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String result = future.get(); // blocks
String result = future.get(10, TimeUnit.MICROSECONDS);
boolean cancelled = future.cancel(true);

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Lock lock = new ReentrantLock();
lock.lock();
try {
System.out.println("Only one thread can execute me!");
} finally {
lock.unlock();
}

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Plus many more concurrent classes:
- Lock, Semaphore, Barrier, CountDownLatch
- BlockingQueue, ConcurrentMap
- CopyOnWriteArrayList

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2011 – 2014 (Java 7, Java 8):
- Fork / Join, parallel Stream
Allows to compute elements in parallel
Two phases:
- fork = splits a task in two sub-tasks
- join = merge the result of two sub-tasks
Uses work stealing to spread the tasks among threads
2011: Fork / Join

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2011 – 2014 (Java 7, Java 8):
- CompletionStage, CompletableFuture
Subtype of Future
Asynchronous programming model
Allows to trigger tasks on the outcome of other tasks
User can control which thread executes what task
Exceptions handling
2014: CompletionStage

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Once a thread begins to process a task it cannot release it
Either the task completes with a result
Or is completes with an exception
It may be an InterruptedException
One thing stays the same

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2022+ (prev. in Java 19)
2023?: Loom!

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Why Do We Need Concurrency?

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Concurrency may be used in two different contexts:
1) Processing in-memory data in parallel, using all the CPU cores
- Each thread uses 100% of your CPU cores
- Threads are mostly not blocking
Concurrency: Computations vs. I/O

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Concurrency may be used in two different contexts:
2) Handling numerous blocking requests / responses
HTTP Server  1 request <=|=> 1 thread
DB Server  1 transaction <=|=> 1 thread
Concurrency: Computations vs. I/O

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Processing I/O data:
- Each task waits for the data it needs to process
Concurrency for I/O
Preparing the request
Time scale: 10ns

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Concurrency for I/O
Waiting for the response
Time scale: 10ms

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Concurrency for I/O
Processing the response
Time scale: 10ns

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A Thread is idle 99.9999% of the time!
How many threads do you need to keep your CPU busy?
Concurrency for I/O
ms ns
ns

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A thread is not cheap!
- Thread startup time: ~1ms
- Thread memory consumption: 2MB of stack
- Context switching: ~100ms (depends on the OS)
Having 1 million platform threads is not possible!
Concurrency for I/O

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CompletionState / CompletableFuture
Asynchronous / Reactive programming
Async / Await (C# or Kotlin)
Mono / Multi (Spring)
Uni / Multi (Quarkus)
Solutions?

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Breaking down a request handling into small stages
Then compose them into a pipeline
The code becomes:
- hard to read and write (callback hell)
- hard to debug (call stack?)
- hard to test
- hard to profile
Solutions?

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Loom to the Rescue

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Virtual Thread!
// platform threads
var pthread = new Thread(() -> {
System.out.println("platform " + Thread.currentThread());
});
pthread.start();
pthread.join();

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Virtual Thread!
// virtual threads
var vthread = Thread.startVirtualThread(() -> {
System.out.println("virtual " + Thread.currentThread());
});
vthread.join();
// platform threads
var pthread = Thread.ofPlatform(() -> {
});
pthread.join();

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A virtual thread runs on a carrier thread from a Fork-Join pool
(not the common fork join pool)
This pool implements a FIFO queue (instead of a LIFO one)
Virtual Thread!
// platform threads
platform Thread[#14,Thread-0,5,main]
// virtual threads
virtual VirtualThread[#15]/runnable@ForkJoinPool-1-worker-1

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Thread Polymorphic Builder
// platform threads
var pthread = Thread.ofPlatform()
.name("platform-", 0)
.start(() -> {
});
pthread.join();
// virtual threads
var vthread = Thread.ofVirtual()
.name("virtual-", 0)
.start(() -> {
System.out.println("virtual " + Thread.currentThread());
});
vthread.join();

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How many virtual threads can I run?

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Platform/OS thread (starts in ms)
- Creates a 2MB stack upfront
- System call to ask the OS to schedule the thread
Virtual thread (starts in μs)
- Grow and shrink the stack dynamically
- Use a specific fork-join pool of platform threads (carrier
threads)
- One platform thread per core
Running a Thread

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How does it work under the hood?

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Continuation

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Example of Thread.sleep():
Calls Contination.yield()
Where Does the Magic Come From?
@ChangesCurrentThread
private boolean yieldContinuation() {
boolean notifyJvmti = notifyJvmtiEvents;
// unmount
if (notifyJvmti) notifyJvmtiUnmountBegin(false);
unmount();
try {
return Continuation.yield(VTHREAD_SCOPE);
} finally {
// re-mount
mount();
if (notifyJvmti) notifyJvmtiMountEnd(false);
}
}

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yield() copies the stack to the heap
Continuation.yield()
heap
stack
start()
Platform thread 1
sleep()

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yield() copies the stack to the heap
Continuation.yield()
heap
stack
start()
Platform thread 1

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run() copies from the heap to another stack
(optimization: only copies the topmost stack frames)
Continuation.run()
stack
start()
Platform thread 1
heap

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run() copies from the heap to another stack
(optimization: only copies the topmost stack frames)
Continuation.run()
stack
start()
Platform thread 1
stack
Platform thread 2
heap

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A Platform Thread is a thin wrapper on an OS Thread
A Virtual Thread is not tied to a particular OS Thread
A Virtual Thread only consumes an OS Thread
when it performs calculations on the CPU
Running a Virtual Thread

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Creating a virtual thread is cheap
Blocking a virtual thread is cheap
Pooling virtual threads is useless

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Most of the code of the virtual threads scheduling is written in
Java in the JDK (jdk.internal.vm.Continuation)
Written in C in the JVM:
- Copy of the stack frames back and forth
- GCs modified to find references in stack on heap
Loom is not Implemented « By the JVM »

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All blocking codes are changed to
- Check if current thread is a virtual thread
- If it is, instead of blocking:
- Register a handler that will be called when the OS is
ready (using NIO)
- Call Continuation.yield()
- When the handler is called, find a carrier thread and call
Continuation.start()
In the JDK

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Sometimes virtual threads are pinned to their carrier thread
Synchronized block are written in assembly and uses an address
on the stack
the stack frames can not be copied
Prefer ReentrantLock over synchronized()
There Are Cases Where It Does Not Work

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Sometimes virtual threads are pinned to their carrier thread
Native code that does an upcall to Java may use an address on
stack
the stack frames can not be copied
There Are Cases Where It Does Not Work

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Java 13
- JEP 353 Reimplement the Legacy Socket API
Java 14
- JEP 373 Reimplement the Legacy Datagram Socket API
- JEP 374 Deprecate and Disable Biased Locking
Stealth Rewrite of the JDK for Loom

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Java 18
- JEP 416 Reimplement Core Reflection with Method Handles
- JEP 418 (Internet-Address Resolution SPI) in JDK 18 defined a
service-provider interface for host name and address lookup.
This will allow third-party libraries to implement alternative
java.net.InetAddress resolvers that do not pin threads during
host lookup
Stealth Rewrite of the JDK for Loom

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The JDK creates as many virtual threads as the user want
- Mount a virtual thread to an available carrier thread when
starting
- If blocking, unmount the current virtual thread and mount
another virtual thread
Loom Idea: Under the Hood

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Structured Concurrency

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The Travel Agency Example
Quotation
Weather Forecast
Travel Page

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CompletableFuture Based Travel Agency
var quotationCF =
CompletableFuture.supplyAsync(() -> getQuotation());
var weatherCF =
CompletableFuture.supplyAsync(() -> getWeather());
CompletableFuture<Page> travelPageCF =
quotationCF
.exceptionally(t -> {
weatherCF.cancel(true);
throw new RuntimeException(t);
})
.thenCompose(
quotation -> weatherCF
// .completeOnTimeout(Weather.UNKNOWN, 100, MILLISECONDS)
.exceptionally(e -> Weather.UNKNOWN)
.thenApply(
weather ->
buildPage(quotation, weather)));

Quotation Server A
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The Travel Agency Example
Quotation Server B
Quotation Server C
Weather Forecast Server A
Weather Forecast Server B
Weather Forecast Server C
Travel
Agency

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CompletableFuture Based Travel Agency
var quotationCF =
CompletableFuture.supplyAsync(() -> getQuotation());
var weatherCF =
CompletableFuture.supplyAsync(() -> getWeather());
CompletableFuture<Page> travelPageCF =
quotationCF
.exceptionally(t -> {
weatherCF.cancel(true);
throw new RuntimeException(t);
})
.thenCompose(
quotation -> weatherCF
// .completeOnTimeout(Weather.UNKNOWN, 100, MILLISECONDS)
.exceptionally(e -> Weather.UNKNOWN)
.thenApply(
weather ->
buildPage(quotation, weather)));

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Stuctured Concurrency Based Travel Agency
try (var scope = new WeatherScope()) {
scope.fork(() -> readWeatherFromA());
scope.fork(() -> readWeatherFromB());
scope.fork(() -> readWeatherFromC());
scope.join();
Weather firstWeather = scope.getFirstWeather();
return firstWeather;
}

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try (var scope = new QuotationScope()) {
scope.fork(() -> readQuotationFromA());
scope.fork(() -> readQuotationFromB());
scope.fork(() -> readQuotationFromC();
scope.join();
Quotation bestQuotation = scope.getBestQuotation();
return bestQuotation;
}

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try (var scope = new TravelPageScope()) {
scope.fork(() -> getFirstWeather());
scope.fork(() -> getBestQuotation());
scope.join();
TravelPage page = scope.buildTravelPage();
return page;
}

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protected void handleComplete(Future<Quotation> future) {
switch (future.state()) {
case RUNNING -> throw new IllegalStateException("Ooops");
case SUCCESS -> this.quotations.add(future.resultNow());
case FAILED -> this.exceptions.add(future.exceptionNow());
case CANCELLED -> { }
}

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public Quotation bestQuotation() {
return this.quotations.stream()
.min(Comparator.comparing(Quotation::quotation))
.orElseThrow(this::exceptions);
}

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public QuotationException exceptions() {
QuotationException exception = new QuotationException();
this.exceptions.forEach(exception::addSuppressed);
return exception;
}

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Leveraging this million threads
Leveraging virtual threads, « free » to create / block
Write simple, imperative, mono-thread code
Easy to read, easy to test, easy to debug
Stuctured Concurrency in Three Words

Loom Virtual Threads in the JDK 19

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