search
HomeJavajavaTutorialExploring Pinning in JVM&#s Virtual Thread Mechanism

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:

Exploring Pinning in JVM


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 



<p>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.</p>

<p>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:<br>
</p>

<pre class="brush:php;toolbar:false">// 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 



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

    java -Djdk.tracePinnedThreads=full Main
    
  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
    

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 



<p>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.</p><h2>
  
  
  In Conclusion
</h2>

<p>Java's virtual threads stand as a testimony to the evolution and the capabilities of the language. They offer a fresh, lightweight alternative to traditional OS threads, providing a bridge to efficient concurrency management. Taking the time to dig deep and understand key concepts such as thread pinning can equip developers with the know-how to leverage the full potential of these lightweight threads. This knowledge not only prepares developers for leveraging upcoming features but also empowers them to resolve complex concurrency control issues more effectively in their current projects.</p>


          

            
        

The above is the detailed content of Exploring Pinning in JVM&#s Virtual Thread Mechanism. For more information, please follow other related articles on the PHP Chinese website!

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Top 4 JavaScript Frameworks in 2025: React, Angular, Vue, SvelteTop 4 JavaScript Frameworks in 2025: React, Angular, Vue, SvelteMar 07, 2025 pm 06:09 PM

This article analyzes the top four JavaScript frameworks (React, Angular, Vue, Svelte) in 2025, comparing their performance, scalability, and future prospects. While all remain dominant due to strong communities and ecosystems, their relative popul

Spring Boot SnakeYAML 2.0 CVE-2022-1471 Issue FixedSpring Boot SnakeYAML 2.0 CVE-2022-1471 Issue FixedMar 07, 2025 pm 05:52 PM

This article addresses the CVE-2022-1471 vulnerability in SnakeYAML, a critical flaw allowing remote code execution. It details how upgrading Spring Boot applications to SnakeYAML 1.33 or later mitigates this risk, emphasizing that dependency updat

Node.js 20: Key Performance Boosts and New FeaturesNode.js 20: Key Performance Boosts and New FeaturesMar 07, 2025 pm 06:12 PM

Node.js 20 significantly enhances performance via V8 engine improvements, notably faster garbage collection and I/O. New features include better WebAssembly support and refined debugging tools, boosting developer productivity and application speed.

How do I implement multi-level caching in Java applications using libraries like Caffeine or Guava Cache?How do I implement multi-level caching in Java applications using libraries like Caffeine or Guava Cache?Mar 17, 2025 pm 05:44 PM

The article discusses implementing multi-level caching in Java using Caffeine and Guava Cache to enhance application performance. It covers setup, integration, and performance benefits, along with configuration and eviction policy management best pra

How does Java's classloading mechanism work, including different classloaders and their delegation models?How does Java's classloading mechanism work, including different classloaders and their delegation models?Mar 17, 2025 pm 05:35 PM

Java's classloading involves loading, linking, and initializing classes using a hierarchical system with Bootstrap, Extension, and Application classloaders. The parent delegation model ensures core classes are loaded first, affecting custom class loa

How to Share Data Between Steps in CucumberHow to Share Data Between Steps in CucumberMar 07, 2025 pm 05:55 PM

This article explores methods for sharing data between Cucumber steps, comparing scenario context, global variables, argument passing, and data structures. It emphasizes best practices for maintainability, including concise context use, descriptive

Iceberg: The Future of Data Lake TablesIceberg: The Future of Data Lake TablesMar 07, 2025 pm 06:31 PM

Iceberg, an open table format for large analytical datasets, improves data lake performance and scalability. It addresses limitations of Parquet/ORC through internal metadata management, enabling efficient schema evolution, time travel, concurrent w

How can I implement functional programming techniques in Java?How can I implement functional programming techniques in Java?Mar 11, 2025 pm 05:51 PM

This article explores integrating functional programming into Java using lambda expressions, Streams API, method references, and Optional. It highlights benefits like improved code readability and maintainability through conciseness and immutability

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Dreamweaver Mac version

Dreamweaver Mac version

Visual web development tools

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

SublimeText3 Linux new version

SublimeText3 Linux new version

SublimeText3 Linux latest version