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SpringBoot中使用多线程ThreadPoolTaskExecutor+CompletableFuture

article 2024/11/9 4:24:35

SpringBoot中使用多线程ThreadPoolTaskExecutor+CompletableFuture

定义一个线程池，并将其注入为bean

我使用的是spring提供的线程池，所以不需要写关闭的逻辑

import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.scheduling.annotation.EnableAsync;
import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;

import java.util.concurrent.Executor;

@Configuration
@EnableAsync
public class ExecutorConfig {
    @Bean(name = {"saveExecutor"})
    public Executor taskExecutor() {
        ThreadPoolTaskExecutor executor =  new ThreadPoolTaskExecutor();
        executor.setCorePoolSize(5);//核心线程数
        executor.setMaxPoolSize(1000);// 最大线程数
        executor.setQueueCapacity(500);// 任务队列容量
        executor.setThreadNamePrefix("taskExecutor-");
        executor.initialize(); //初始化线程池
        return executor;
    }
}

使用

import cn.hutool.core.collection.ListUtil;
import com.train.demo.entities.User;
import com.train.demo.repository.UserRepository;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Qualifier;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;

import java.util.ArrayList;
import java.util.List;
import java.util.concurrent.CompletableFuture;
import java.util.concurrent.Executor;

@Service
@Slf4j
public class UserService {
    private final UserRepository userRepository;
    private final Executor saveExecutor;
    @Autowired
    public UserService(UserRepository userRepository,
                       // 依赖注入，一定要使用@Qualifier指定bean名称，不然有问题
                       @Qualifier("saveExecutor") Executor saveExecutor) {
        this.userRepository = userRepository;
        this.saveExecutor = saveExecutor;
    }
  
    public boolean addAllUsers() {
      // 定义一个数组，并生成1000000条数据
        ArrayList<User> users = new ArrayList<User>(){{
            for (int i = 0; i < 1000000; i++) {
                add(new User(null,"user"+i,2,"男"));
            }
        }};

        int count = 0;
      	// 定义一个接收“CompletableFuture返回”的list
        List<CompletableFuture<Integer>> futureList = new ArrayList<>();
        while( count < users.size() ){
          // 这里只是计算剩下的数据量够不够1000，结果作为截取list的参数
            int size = users.subList( count, users.size()-1).size() > 9999 ? 9999
                    : users.subList( count, users.size()-1).size();
          // 调用异步方法
            CompletableFuture<Integer> future = addAllUsersImpl(users.subList(count, count += size));
            futureList.add(future);
            count++;
        }
        futureList.forEach(CompletableFuture::join);//阻塞所有的异步方法全执行完毕再向下执行
        return true;
    }
    @Async
    protected CompletableFuture<Integer> addAllUsersImpl(List<User> users) {
      	// 此处使用spring线程池作为CompletableFuture线程池参数，并且异步执行
        return CompletableFuture.supplyAsync(() -> {
            log.info("save users thread[{}]", Thread.currentThread().getName());
            List<User> list = ListUtil.list(false, userRepository.saveAll(users));// 存储到数据库
            return list.size();// 返回存储的数据量
        }, saveExecutor);
    }
}