一只小小狗，异步多线程效率对比_异步线程池效率-优快云博客

本文链接：https://blog.youkuaiyun.com/jj89929665/article/details/125023056

本文介绍了一个使用Spring框架配置线程池的方法，并展示了如何利用线程池进行数据库批量插入操作以提高效率。通过具体代码实现，比较了不同批量处理方式的性能差异。

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核心代码

自动以线程池

@Component
@Slf4j
public class ThreadPoolConfig {

    @Bean
    @Qualifier(value = "configurationCheckThreadPool")
    public ExecutorService executorService(){
        int nThreads = Runtime.getRuntime().availableProcessors();
        log.info("可用运行线程为"+nThreads);
        ThreadFactory namedThreadFactory = new ThreadFactoryBuilder()
                .setNameFormat("ConfigurationCheck-pool-%d").build();

        ExecutorService configurationCheckThreadPool = new ThreadPoolExecutor(nThreads, 10,
                0L, TimeUnit.MILLISECONDS,
                new LinkedBlockingQueue<Runnable>(1024), namedThreadFactory, new ThreadPoolExecutor.AbortPolicy());
        return configurationCheckThreadPool;
    }
}

@Qualifier(value = "configurationCheckThreadPool")
private final ExecutorService executorService;

        //解析JSON后文件映射
        List<BDG_TASK_MANAGEMENT> bdg_task_managements = analysisJSONToObject(jsonArray);

        //拆分入库
        /**
         * 使用多线程 483 时间戳
         */
        long l = System.currentTimeMillis();
        CopyOnWriteArrayList<FutureTask<Integer>> integers = new CopyOnWriteArrayList<>();
        for (int i = 0; i < bdg_task_managements.size(); i++) {
            int finalI = i;
            FutureTask<Integer> integerFutureTask = new FutureTask<>(new Callable<Integer>() {
                @Override
                public Integer call() throws Exception {
                    int insert = configurationCheckImpl.insert(bdg_task_managements.get(finalI));
                    return insert;
                }
            });
            executorService.submit(integerFutureTask);
            integers.add(integerFutureTask);
        }






//        AtomicReference<Boolean> aBoolean = new AtomicReference<>(true);
        /**
         * 4668 时间戳 parallelStream
         * 5197 时间戳 Stream.parallel
         */
//        bdg_task_managements.parallelStream().forEach(bdg_task_management -> {
//            try {
//                configurationCheckImpl.insert(bdg_task_management);
//            } catch (Exception e) {
//                e.printStackTrace();
//                aBoolean.set(false);
//                return;
//            }
//        });

        /**
         * 6497 时间戳
         * 7365 时间戳
         * 7094 时间戳
         */
//        for (int i = 0; i < bdg_task_managements.size(); i++) {
//            BDG_TASK_MANAGEMENT bdg_task_management = bdg_task_managements.get(i);
//            try {
//                configurationCheckImpl.insert(bdg_task_management);
//            } catch (Exception e) {
//                aBoolean.set(false);
//                e.printStackTrace();
//            }
//        }

        System.out.println(System.currentTimeMillis() - l);
//        return aBoolean.get();
        return true;