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Java thread pool monitoring and management

王林

Release： 2024-04-11 14:09:01

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Answer: Thread pool monitoring is crucial to ensure its performance and stability. Detailed description: Create a thread pool and add tasks. Regularly monitor the status of the thread pool, including: Number of active threads Number of tasks in the queue Number of completed tasks Number of rejected tasks By monitoring these metrics, you can identify potential problems early and make adjustments or take action.

Java thread pool monitoring and management

Java thread pool monitoring and management

Introduction

The thread pool is a Container that stores and manages threads for efficient processing of parallel tasks. In order to ensure the performance and stability of the thread pool, it is important to continuously monitor and manage it.

Practical case

Let us create a simple thread pool and monitor it:

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;
import java.util.concurrent.ScheduledExecutorService;
import java.util.concurrent.TimeUnit;
import java.util.concurrent.atomic.AtomicLong;

public class ThreadPoolMonitoring {

    private static final ExecutorService EXECUTOR_SERVICE = Executors.newFixedThreadPool(10);
    private static final AtomicLong INCOMING_TASKS = new AtomicLong(0);
    private static final AtomicLong COMPLETED_TASKS = new AtomicLong(0);

    public static void main(String[] args) {
        // 定期监控线程池状态
        ScheduledExecutorService scheduler = Executors.newSingleThreadScheduledExecutor();
        scheduler.scheduleAtFixedRate(() -> {
            long currentIncoming = INCOMING_TASKS.get();
            long currentCompleted = COMPLETED_TASKS.get();

            System.out.println("线程池状态：");
            System.out.println("已提交的任务：" + currentIncoming);
            System.out.println("已完成的任务：" + currentCompleted);
            System.out.println("活动线程数：" + EXECUTOR_SERVICE.getActiveCount());
            System.out.println("队列中的任务数：" + EXECUTOR_SERVICE.getQueue().size());
            System.out.println("已拒绝的任务数：" + EXECUTOR_SERVICE.getRejectedExecutionCount());
        }, 0, 1, TimeUnit.SECONDS);

        // 提交任务到线程池
        for (int i = 0; i < 100; i++) {
            EXECUTOR_SERVICE.submit(() -> {
                INCOMING_TASKS.incrementAndGet();
                COMPLETED_TASKS.incrementAndGet();
            });
        }
        EXECUTOR_SERVICE.shutdown();
    }
}

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Conclusion

This article demonstrates how to monitor the number of active threads, queue size, number of completed tasks, and number of rejected tasks of the thread pool. This way we can detect potential problems early and take steps to resolve or adjust the thread pool configuration. Regular monitoring of the thread pool is essential to ensure that it runs efficiently and avoids any performance degradation.

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