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Common thread safety issues and solutions in Java development

Oct 08, 2023 am 11:07 AM
SolutiondeadlockThread safety issuesrace conditionresource contention

Common thread safety issues and solutions in Java development

Common thread safety issues and solutions in Java development

In Java development, multi-threading is a very common and important concept. However, multi-threading often brings about a series of thread safety issues. Thread safety issues refer to data errors, logic errors and other issues that may occur when multiple threads access shared resources at the same time. This article will introduce some common thread safety issues and provide corresponding solutions, along with code examples.

  1. Race Condition (Race Condition)
    Race condition refers to the problem that multiple threads access and modify shared resources at the same time, causing the final result of the resource to be inconsistent with expectations. Common race condition problems include counter increment, data reading and writing, etc.

Solution 1: Use the synchronized keyword
By using the synchronized keyword on the key code segment, you can ensure that only one thread can execute the code segment at the same time, thereby avoiding race conditions. .

Code example:

class Counter {
    private int count = 0;

    public synchronized void increment() {
        count++;
    }

    public int getCount() {
        return count;
    }
}

Solution 2: Use the Lock interface
Using the Lock interface can provide more fine-grained locking. Compared with synchronized, the Lock interface is more flexible.

Code example:

import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

class Counter {
    private int count = 0;
    private Lock lock = new ReentrantLock();

    public void increment() {
        lock.lock();
        try {
            count++;
        } finally {
            lock.unlock();
        }
    }

    public int getCount() {
        return count;
    }
}
  1. Deadlock (Deadlock)
    Deadlock refers to a problem in which multiple threads wait for each other to release resources, causing the program to be unable to continue execution.

There are two main ways to prevent deadlock:
The first is to avoid circular dependencies;
The second is to use a thread pool (ThreadPoolExecutor) instead of creating threads individually. The thread pool can effectively manage threads life cycle to prevent deadlock.

Code example:

import java.util.concurrent.ExecutorService;
import java.util.concurrent.Executors;

class Resource {
    private final Object lock1 = new Object();
    private final Object lock2 = new Object();

    public void methodA() {
        synchronized (lock1) {
            synchronized (lock2) {
                // do something
            }
        }
    }

    public void methodB() {
        synchronized (lock2) {
            synchronized (lock1) {
                // do something
            }
        }
    }
}

public class Main {
    public static void main(String[] args) {
        ExecutorService executorService = Executors.newFixedThreadPool(2);
        Resource resource = new Resource();

        executorService.submit(() -> resource.methodA());
        executorService.submit(() -> resource.methodB());

        executorService.shutdown();
    }
}
  1. Inter-thread communication problem
    Inter-thread communication problem mainly refers to one thread waiting for the operation result of another thread. Common scenarios include producers -Consumer issues, thread pool task return values, etc.

Solution: Use the wait() and notify() methods together. The wait() method can make the current thread wait, and the notify() method can wake up a waiting thread.

Code example:

class SharedResource {
    private int value;
    private boolean isValueSet = false;

    public synchronized void setValue(int value) {
        while (isValueSet) {
            try {
                wait();
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
        this.value = value;
        isValueSet = true;
        notify();
    }

    public synchronized int getValue() {
        while (!isValueSet) {
            try {
                wait();
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }
        isValueSet = false;
        notify();
        return value;
    }
}

public class Main {
    public static void main(String[] args) {
        SharedResource sharedResource = new SharedResource();

        Thread producer = new Thread(() -> {
            for (int i = 0; i < 10; i++) {
                sharedResource.setValue(i);
                System.out.println("Producer produces: " + i);
                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        });

        Thread consumer = new Thread(() -> {
            for (int i = 0; i < 10; i++) {
                int value = sharedResource.getValue();
                System.out.println("Consumer consumes: " + value);
                try {
                    Thread.sleep(1000);
                } catch (InterruptedException e) {
                    e.printStackTrace();
                }
            }
        });

        producer.start();
        consumer.start();
    }
}

In Java development, thread safety is an issue that requires special attention. By understanding common thread safety issues and their corresponding solutions, we can better write thread-safe code and improve the quality and reliability of our programs.

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