Meneroka Penyematan dalam Mekanisme Benang Maya JVM

Java's virtual threads offer a lightweight alternative to traditional OS threads, enabling efficient concurrency management. But understanding their behavior is crucial for optimal performance. This blog post dives into pinning, a scenario that can impact virtual thread execution, and explores techniques to monitor and address it.

Virtual Threads: A Lightweight Concurrency Approach

Java's virtual threads are managed entities that run on top of the underlying operating system threads (carrier threads). They provide a more efficient way to handle concurrency compared to creating numerous OS threads, as they incur lower overhead. The JVM maps virtual threads to carrier threads dynamically, allowing for better resource utilization.

• Managed by the JVM: Unlike OS threads that are directly managed by the operating system, virtual threads are created and scheduled by the Java Virtual Machine (JVM). This allows for finer-grained control and optimization within the JVM environment.

• Reduced Overhead: Creating and managing virtual threads incurs significantly lower overhead compared to OS threads. This is because the JVM can manage a larger pool of virtual threads efficiently, utilizing a smaller number of underlying OS threads.

• Compatibility with Existing Code: Virtual threads are designed to be seamlessly integrated with existing Java code. They can be used alongside traditional OS threads and work within the familiar constructs like Executor and ExecutorService for managing concurrent.

The figure below shows the relationship between virtual threads and platform threads:

Pinning: When a Virtual Thread Gets Stuck

Pinning occurs when a virtual thread becomes tied to its carrier thread. This essentially means the virtual thread cannot be preempted (switched to another carrier thread) while it's in a pinned state. Here are common scenarios that trigger pinning:

• Synchronized Blocks and Methods: Executing code within a synchronized block or method leads to pinning. This ensures exclusive access to shared resources, preventing data corruption issues.

Code Example:

import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; public class Main { public static void main(String[] args) throws InterruptedException { final Counter counter = new Counter(); Runnable task = () -> { for (int i = 0; i < 1000; i++) { counter.increment(); } }; Thread thread1 = new Thread(task); Thread thread2 = new Thread(task); thread1.start(); thread2.start(); thread1.join(); thread2.join(); System.out.println("Final counter value: " + counter.getCount()); } } class Counter { private int count = 0; public synchronized void increment() { count++; } public synchronized int getCount() { return count; } }

In this example, when a virtual thread enters the synchronized block, it becomes pinned to its carrier thread, but this is not always true. Java's synchronized keyword alone is not enough to cause thread pinning in virtual threads. For thread pinning to occur, there must be a blocking point within a synchronized block that causes a virtual thread to trigger park, and ultimately disallows unmounting from its carrier thread. Thread pinning could cause a decrease in performance as it would negate the benefits of using lightweight/virtual threads.

Whenever a virtual thread encounters a blocking point, its state is transitioned to PARKING. This state transition is indicated by invoking the VirtualThread.park() method:

// JDK core code void park() { assert Thread.currentThread() == this; // complete immediately if parking permit available or interrupted if (getAndSetParkPermit(false) || interrupted) return; // park the thread setState(PARKING); try { if (!yieldContinuation()) { // park on the carrier thread when pinned parkOnCarrierThread(false, 0); } } finally { assert (Thread.currentThread() == this) && (state() == RUNNING); } }

Let's take a look at a code sample to illustrate this concept:

import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; public class Main { public static void main(String[] args) { Counter counter = new Counter(); Runnable task = () -> { for (int i = 0; i < 100; i++) { counter.increment(); } }; Thread thread1 = Thread.ofVirtual().start(task); Thread thread2 = Thread.ofVirtual().start(task); try { thread1.join(); thread2.join(); } catch (InterruptedException e) { throw new RuntimeException(e); } System.out.println("Final counter value: " + counter.getCount()); } } class Counter { private int count = 0; public void increment() { synchronized (this) { try { Thread.sleep(100); // This simulates a blocking call within the synchronized block } catch (InterruptedException e) { e.printStackTrace(); } count++; } } public synchronized int getCount() { return count; } }

• Native Methods/Foreign Functions: Running native methods or foreign functions can also cause pinning. The JVM might not be able to efficiently manage the virtual thread's state during these operations.

Monitoring Pinning with -Djdk.tracePinnedThreads=full

The -Djdk.tracePinnedThreads=full flag is a JVM startup argument that provides detailed tracing information about virtual thread pinning. When enabled, it logs events like:

• Virtual thread ID involved in pinning
• Carrier thread ID to which the virtual thread is pinned
• Stack trace indicating the code section causing pinning

Use this flag judiciously during debugging sessions only, as it introduces performance overhead.

1. Compile the our demo code:
   

   javac Main.java

   Salin selepas log masuk

2. Start the compiled code with the -Djdk.tracePinnedThreads=full flag:
   

   java -Djdk.tracePinnedThreads=full Main

   Salin selepas log masuk

3. Observe the output in the console, which shows detailed information about virtual thread pinning:
   

   Thread[#29,ForkJoinPool-1-worker-1,5,CarrierThreads] java.base/java.lang.VirtualThread$VThreadContinuation.onPinned(VirtualThread.java:183) java.base/jdk.internal.vm.Continuation.onPinned0(Continuation.java:393) java.base/java.lang.VirtualThread.parkNanos(VirtualThread.java:621) java.base/java.lang.VirtualThread.sleepNanos(VirtualThread.java:791) java.base/java.lang.Thread.sleep(Thread.java:507) Counter.increment(Main.java:38) <== monitors:1 Main.lambda$main\$0(Main.java:13) java.base/java.lang.VirtualThread.run(VirtualThread.java:309) Final counter value: 200

   Salin selepas log masuk

Fixing Pinning with Reentrant Locks

Pinning is an undesirable scenario which impedes the performance of virtual threads. Reentrant locks serve as an effective tool to counteract pinning. Here's how you can use Reentrant locks to mitigate pinning situations:

import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import java.util.concurrent.locks.ReentrantLock; public class Main { public static void main(String[] args) { Counter counter = new Counter(); Runnable task = () -> { for (int i = 0; i < 100; i++) { counter.increment(); } }; Thread thread1 = Thread.ofVirtual().start(task); Thread thread2 = Thread.ofVirtual().start(task); try { thread1.join(); thread2.join(); } catch (InterruptedException e) { throw new RuntimeException(e); } System.out.println("Final counter value: " + counter.getCount()); } } class Counter { private int count = 0; private final ReentrantLock lock = new ReentrantLock(); public void increment() { lock.lock(); try { Thread.sleep(100); // This simulates a blocking call count++; } catch (InterruptedException e) { e.printStackTrace(); } finally { lock.unlock(); } } public int getCount() { return count; } }

In the updated example, we use a ReentrantLock instead of a synchronized block. The thread can acquire the lock and release it immediately after it completes its operation, potentially reducing the duration of pinning compared to a synchronized block which might hold the lock for a longer period.

En conclusion

Les fils de discussion virtuels de Java témoignent de l'évolution et des capacités du langage. Ils offrent une alternative nouvelle et légère aux threads de système d’exploitation traditionnels, offrant ainsi une passerelle vers une gestion efficace de la concurrence. Prendre le temps d'approfondir et de comprendre des concepts clés tels que l'épinglage de threads peut doter les développeurs du savoir-faire nécessaire pour exploiter tout le potentiel de ces threads légers. Ces connaissances préparent non seulement les développeurs à tirer parti des fonctionnalités à venir, mais leur permettent également de résoudre plus efficacement les problèmes complexes de contrôle de concurrence dans leurs projets en cours.

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