SpringBoot用线程池ThreadPoolTaskExecutor异步处理百万级数据

# 异步线程配置 自定义使用参数async:  executor:    thread:      core_pool_size:  10  # 配置核心线程数 默认8个 核数*2+2      max_pool_size:  100   # 配置最大线程数      queue_capacity:  99988  # 配置队列大小      keep_alive_seconds:  20  #设置线程空闲等待时间秒s      name:        prefix: async-thread-  # 配置线程池中的线程的名称前缀

package com.wonders.common.config;import cn.hutool.core.thread.ThreadFactoryBuilder;import lombok.extern.slf4j.Slf4j;import org.springframework.beans.factory.annotation.Value;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.LinkedBlockingQueue;import java.util.concurrent.ThreadPoolExecutor;import java.util.concurrent.TimeUnit;
/** * @Description: TODO:利用ThreadPoolTaskExecutor多线程批量执行相关配置 * 自定义线程池 * 发现不是线程数越多越好，具体多少合适，网上有一个不成文的算法：CPU核心数量*2 +2 个线程。 * @Author: yyalin * @CreateDate: 2022/11/6 11:56 * @Version: V1.0 */@Configuration@EnableAsync@Slf4jpublic class ThreadPoolConfig {    //自定义使用参数    @Value("${async.executor.thread.core_pool_size}")    private int corePoolSize;   //配置核心线程数    @Value("${async.executor.thread.max_pool_size}")    private int maxPoolSize;    //配置最大线程数    @Value("${async.executor.thread.queue_capacity}")    private int queueCapacity;    @Value("${async.executor.thread.name.prefix}")    private String namePrefix;    @Value("${async.executor.thread.keep_alive_seconds}")    private int keepAliveSeconds;
    //1、自定义asyncServiceExecutor线程池    @Bean(name = "asyncServiceExecutor")    public ThreadPoolTaskExecutor asyncServiceExecutor() {        log.info("start asyncServiceExecutor......");        //在这里修改        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();        //配置核心线程数        executor.setCorePoolSize(corePoolSize);        //配置最大线程数        executor.setMaxPoolSize(maxPoolSize);        //设置线程空闲等待时间 s        executor.setKeepAliveSeconds(keepAliveSeconds);        //配置队列大小 设置任务等待队列的大小        executor.setQueueCapacity(queueCapacity);        //配置线程池中的线程的名称前缀        //设置线程池内线程名称的前缀-------阿里编码规约推荐--方便出错后进行调试        executor.setThreadNamePrefix(namePrefix);        // rejection-policy：当pool已经达到max size的时候，如何处理新任务        // CALLER_RUNS：不在新线程中执行任务，而是有调用者所在的线程来执行        executor.setRejectedExecutionHandler(new ThreadPoolExecutor.DiscardPolicy());        //执行初始化        executor.initialize();        return executor;    }    /**     * 2、公共线程池,利用系统availableProcessors线程数量进行计算     */    @Bean(name = "commonThreadPoolTaskExecutor")    public ThreadPoolTaskExecutor commonThreadPoolTaskExecutor() {        ThreadPoolTaskExecutor pool = new ThreadPoolTaskExecutor();        int processNum = Runtime.getRuntime().availableProcessors(); // 返回可用处理器的Java虚拟机的数量        int corePoolSize = (int) (processNum / (1 - 0.2));        int maxPoolSize = (int) (processNum / (1 - 0.5));        pool.setCorePoolSize(corePoolSize); // 核心池大小        pool.setMaxPoolSize(maxPoolSize); // 最大线程数        pool.setQueueCapacity(maxPoolSize * 1000); // 队列程度        pool.setThreadPriority(Thread.MAX_PRIORITY);        pool.setDaemon(false);        pool.setKeepAliveSeconds(300);// 线程空闲时间        return pool;    }   //3自定义defaultThreadPoolExecutor线程池    @Bean(name = "defaultThreadPoolExecutor", destroyMethod = "shutdown")    public ThreadPoolExecutor systemCheckPoolExecutorService() {        int maxNumPool=Runtime.getRuntime().availableProcessors();        return new ThreadPoolExecutor(3,                maxNumPool,                60,                TimeUnit.SECONDS,                new LinkedBlockingQueue(10000),                //置线程名前缀，例如设置前缀为hutool-thread-，则线程名为hutool-thread-1之类。                new ThreadFactoryBuilder().setNamePrefix("default-executor-thread-%d").build(),                (r, executor) -> log.error("system pool is full! "));    }
}

 //1、自定义asyncServiceExecutor线程池    @Override    @Async("asyncServiceExecutor")    public void executeAsync(List students,                             StudentService studentService,                             CountDownLatch countDownLatch) {        try{            log.info("start executeAsync");            //异步线程要做的事情            studentService.saveBatch(students);            log.info("end executeAsync");        }finally {            countDownLatch.countDown();// 很关键, 无论上面程序是否异常必须执行countDown,否则await无法释放        }    }

package com.wonders.threads;
import com.google.common.collect.Lists;import org.springframework.util.CollectionUtils;
import java.util.ArrayList;import java.util.List;
/** * @Description: TODO：拆分工具类 * 1、获取需要进行批量更新的大集合A，对大集合进行拆分操作，分成N个小集合A-1 ~ A-N; * 2、开启线程池，针对集合的大小进行调参，对小集合进行批量更新操作; * 3、对流程进行控制，控制线程执行顺序。按照指定大小拆分集合的工具类 * @Author: yyalin * @CreateDate: 2022/5/6 14:43 * @Version: V1.0 */public class SplitListUtils {    /**     * 功能描述:拆分集合     * @param  泛型对象     * @MethodName: split     * @MethodParam: [resList:需要拆分的集合, subListLength:每个子集合的元素个数]     * @Return: java.util.List>:返回拆分后的各个集合组成的列表     * 代码里面用到了guava和common的结合工具类     * @Author: yyalin     * @CreateDate: 2022/5/6 14:44     */    public static  List> split(List resList, int subListLength) {        if (CollectionUtils.isEmpty(resList) || subListLength <= 0) {            return Lists.newArrayList();        }        List> ret = Lists.newArrayList();        int size = resList.size();        if (size <= subListLength) {            // 数据量不足 subListLength 指定的大小            ret.add(resList);        } else {            int pre = size / subListLength;            int last = size % subListLength;            // 前面pre个集合，每个大小都是 subListLength 个元素            for (int i = 0; i < pre; i++) {                List itemList = Lists.newArrayList();                for (int j = 0; j < subListLength; j++) {                    itemList.add(resList.get(i * subListLength + j));                }                ret.add(itemList);            }            // last的进行处理            if (last > 0) {                List itemList = Lists.newArrayList();                for (int i = 0; i < last; i++) {                    itemList.add(resList.get(pre * subListLength + i));                }                ret.add(itemList);            }        }        return ret;    }
    /**     * 功能描述:方法二：集合切割类，就是把一个大集合切割成多个指定条数的小集合，方便往数据库插入数据     * 推荐使用     * @MethodName: pagingList     * @MethodParam:[resList:需要拆分的集合, subListLength:每个子集合的元素个数]     * @Return: java.util.List>：返回拆分后的各个集合组成的列表     * @Author: yyalin     * @CreateDate: 2022/5/6 15:15     */    public static  List> pagingList(List resList, int pageSize){        //判断是否为空        if (CollectionUtils.isEmpty(resList) || pageSize <= 0) {            return Lists.newArrayList();        }        int length = resList.size();        int num = (length+pageSize-1)/pageSize;        List> newList =  new ArrayList<>();        for(int i=0;i            int fromIndex = i*pageSize;            int toIndex = (i+1)*pageSize1)*pageSize:length;            newList.add(resList.subList(fromIndex,toIndex));        }        return newList;    }
    // 运行测试代码 可以按顺序拆分为11个集合    public static void main(String[] args) {        //初始化数据        List list = Lists.newArrayList();        int size = 19;        for (int i = 0; i < size; i++) {            list.add("hello-" + i);        }        // 大集合里面包含多个小集合        List> temps = pagingList(list, 100);        int j = 0;        // 对大集合里面的每一个小集合进行操作        for (List obj : temps) {            System.out.println(String.format("row:%s -> size:%s,data:%s", ++j, obj.size(), obj));        }    }
}

 public int batchInsertWay() throws Exception {        log.info("开始批量操作.........");        Random rand = new Random();        List list = new ArrayList<>();        //造100万条数据        for (int i = 0; i < 1000003; i++) {            Student student=new Student();            student.setStudentName("大明："+i);            student.setAddr("上海:"+rand.nextInt(9) * 1000);            student.setAge(rand.nextInt(1000));            student.setPhone("134"+rand.nextInt(9) * 1000);            list.add(student);        }        //2、开始多线程异步批量导入        long startTime = System.currentTimeMillis(); // 开始时间        //boolean a=studentService.batchInsert(list);        List> list1=SplitListUtils.pagingList(list,100);  //拆分集合        CountDownLatch countDownLatch = new CountDownLatch(list1.size());        for (List list2 : list1) {            asyncService.executeAsync(list2,studentService,countDownLatch);        }        try {            countDownLatch.await(); //保证之前的所有的线程都执行完成，才会走下面的；            long endTime = System.currentTimeMillis(); //结束时间            log.info("一共耗时time: " + (endTime - startTime) / 1000 + " s");            // 这样就可以在下面拿到所有线程执行完的集合结果        } catch (Exception e) {            log.error("阻塞异常:"+e.getMessage());        }        return list.size();
    }

int processNum = Runtime.getRuntime().availableProcessors(); // 返回可用处理器的Java虚拟机的数量int corePoolSize = (int) (processNum / (1 - 0.2));int maxPoolSize = (int) (processNum / (1 - 0.5));