SpringBoot用多线程批量导入数据库实现方法

目录

• 环境
• 原始的for循环入库
• 批量保存操作
• 在批量插入的基础上使用多线程
• 处理多线程入库的事务问题

环境

springboot、mybatisPlus、mysql8

mysql8（部署在1核2G的服务器上，很卡，所以下面的数据条数用5000，太大怕不是要等到花儿都谢了 0.0）

原始的for循环入库

@Service
@Slf4j
public class MoreTestServiceImpl extends ServiceImpl implements MoreTestService {
    @Override
    @Transactional(rollbackFor = Exception.class)
    public Object doTest() {
        long start = System.currentTimeMillis();
        List entityList = new ArrayList<>();
        for (int i = 0; i < 5000; i++) {
            MoreTestEntity entity = new MoreTestEntity();
            entity.setId((long) i);
            entity.setA(UUID.randomUUID().toString());
            entity.setB(UUID.randomUUID().toString());
            entity.setC(UUID.randomUUID().toString());
            entity.setD(UUID.randomUUID().toString());
            entity.setE(UUID.randomUUID().toString());
            entity.setF(UUID.randomUUID().toString());
            entity.setG(UUID.randomUUID().toString());
            entity.setH(UUID.randomUUID().toString());
            entity.setI(UUID.randomUUID().toString());
            entity.setJ(UUID.randomUUID().toString());
            entity.setK(UUID.randomUUID().toString());
            entityList.add(entity);
            //在循环中入库
            baseMapper.insert(entity);
        }
        long end = System.currentTimeMillis();
        System.err.println(end - start);
        return end - start;
    }
}

共耗时：180121 ms

批量保存操作

@Service
@Slf4j
public class MoreTestServiceImpl extends ServiceImpl implements MoreTestService {
    @Override
    @Transactional(rollbackFor = Exception.class)
    public Object doTest() {
        long start = System.currentTimeMillis();
        List entityList = new ArrayList<>();
        for (int i = 0; i < 5000; i++) {
            MoreTestEntity entity = new MoreTestEntity();
            entity.setId((long) i);
            entity.setA(UUID.randomUUID().toString());
            entity.setB(UUID.randomUUID().toString());
            entity.setC(UUID.randomUUID().toString());
            entity.setD(UUID.randomUUID().toString());
            entity.setE(UUID.randomUUID().toString());
            entity.setF(UUID.randomUUID().toString());
            entity.setG(UUID.randomUUID().toString());
            entity.setH(UUID.randomUUID().toString());
            entity.setI(UUID.randomUUID().toString());
            entity.setJ(UUID.randomUUID().toString());
            entity.setK(UUID.randomUUID().toString());
            entityList.add(entity);
        }
      	//mybatisPlus提供的批量保存方法，数字代表每几条数据提交一次事务，默认1000
        saveBatch(entityList, 1000);
        long end = System.currentTimeMillis();
        System.err.println(end - start);
        return end - start;
    }
}

耗时时间：87217ms

在批量插入的基础上使用多线程

@Service
@Slf4j
public class MoreTestServiceImpl extends ServiceImpl implements MoreTestService {
    @Override
    @Transactional(rollbackFor = Exception.class)
    public Object doTest() throws InterruptedException {
        long start = System.currentTimeMillis();
        //手动创建线程池，注意你 数据库连接池的 允许连接数量，别超过了就行。
        ThreadPoolExecutor poolExecutor = new ThreadPoolExecutor(
                5,
                5,
                30,
                TimeUnit.SECONDS,
                new LinkedBlockingDeque<>(10),
                //isDaemon 设置线程是否是守护线程，true的话，主线程结束，new的线程就不会继续工作
                new NamedThreadFactory("执行线程", false),
                (r, executor) -> System.out.println("拒绝" + r));
        List entityList = new ArrayList<>();
        for (int i = 0; i < 5000; i++) {
            MoreTestEntity entity = new MoreTestEntity();
            entity.setId((long) i);
            entity.setA(UUID.randomUUID().toString());
            entity.setB(UUID.randomUUID().toString());
            entity.setC(UUID.randomUUID().toString());
            entity.setD(UUID.randomUUID().toString());
            entity.setE(UUID.randomUUID().toString());
            entity.setF(UUID.randomUUID().toString());
            entity.setG(UUID.randomUUID().toString());
            entity.setH(UUID.randomUUID().toString());
            entity.setI(UUID.randomUUID().toString());
            entity.setJ(UUID.randomUUID().toString());
            entity.setK(UUID.randomUUID().toString());
            entityList.add(entity);
        }
        //拆分list，将其拆分成5份，然后上面线程池创建也是5个核心线程，刚好执行
        List> partition = ListUtils.partition(entityList, 1000);
        //使用CountDownLatch保证所有线程都执行完成
        CountDownLatch latch = new CountDownLatch(5);
        partition.forEach(item -> {
            poolExecutor.execute(() -> {
                saveBatch(item, 1000);
                latch.countDown();
            });
        });
        latch.await();
        // 也可以这么写，设定超时时间
        //latch.await(100,TimeUnit.SECONDS);
        long end = System.currentTimeMillis();
        System.err.println(end - start);
        //关闭线程池
        poolExecutor.shutdown();
        return end - start;
    }
}

耗时时间： 28235

可见时间从180秒，缩短到了28秒，但是@Transactional对于多线程是控制不了所有的事务的。

Spring实现事务的原理是通过ThreadLocal把数据库连接绑定到当前线程中，同一个事务中数据库操作使用同一个jdbc connection，新开启的线程获取不到当前jdbc connection。

如下代码：

partition.forEach(item -> {
            poolExecutor.execute(() -> {
                saveBatch(item, 1000);
                latch.countDown();
                //让每个都报错
                int i = 1/0;
            });
        });

控制台打印：

Exception in thread "执行线程5" java.lang.ArithmeticException: / by zero
    at com.kusch.ares.service.impl.MoreTestServiceImpl.lambda$null$1(MoreTestServiceImpl.java:68)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:750)
Exception in thread "执行线程2" java.lang.ArithmeticException: / by zero
    at com.kusch.ares.service.impl.MoreTestServiceImpl.lambda$null$1(MoreTestServiceImpl.java:68)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:750)
Exception in thread "执行线程4" java.lang.ArithmeticException: / by zero
    at com.kusch.ares.service.impl.MoreTestServiceImpl.lambda$null$1(MoreTestServiceImpl.java:68)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:750)
Exception in thread "执行线程1" java.lang.ArithmeticException: / by zero
    at com.kusch.ares.service.impl.MoreTestServiceImpl.lambda$null$1(MoreTestServiceImpl.java:68)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:750)
Exception in thread "执行线程3" 30179
java.lang.ArithmeticException: / by zero
    at com.kusch.ares.service.impl.MoreTestServiceImpl.lambda$null$1(MoreTestServiceImpl.java:68)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
    at java.lang.Thread.run(Thread.java:750)

可见5个线程都报错了，但是去查询数据库，却可以查询到5000条数据，这是不应该出现的情况。

处理多线程入库的事务问题

@Service
@Slf4j
public class MoreTestServiceImpl extends ServiceImpl implements MoreTestService {
    @Resource
    private DataSourceTransactionManager dataSourceTransactionManager;
    @Resource
    private TransactionDefinition transactionDefinition;
    @Override
    //此处手动管理事务的提交后，这个注解就可以去掉了
    //    @Transactional(rollbackFor = Exception.class)
    public Object doTest() {
        long start = System.currentTimeMillis();
        //手动创建线程池，注意你 数据库连接池的 允许连接数量，别超过了就行。
        ThreadPoolExecutor poolExecutor = new ThreadPoolExecutor(
                5,
                5,
                30,
                TimeUnit.SECONDS,
                new LinkedBlockingDeque<>(10),
                //isDaemon 设置线程是否是守护线程，true的话，主线程结束，new的线程就不会继续工作
                new NamedThreadFactory("执行线程", false),
                (r, executor) -> System.out.println("拒绝" + r));
        List entityList = new ArrayList<>();
        for (int i = 0; i < 50; i++) {
            MoreTestEntity entity = new MoreTestEntity();
            entity.setId((long) i);
            entity.setA(UUID.randomUUID().toString());
            entity.setB(UUID.randomUUID().toString());
            entity.setC(UUID.randomUUID().toString());
            entity.setD(UUID.randomUUID().toString());
            entity.setE(UUID.randomUUID().toString());
            entity.setF(UUID.randomUUID().toString());
            entity.setG(UUID.randomUUID().toString());
            entity.setH(UUID.randomUUID().toString());
            entity.setI(UUID.randomUUID().toString());
            entity.setJ(UUID.randomUUID().toString());
            entity.setK(UUID.randomUUID().toString());
            entityList.add(entity);
        }
        //拆分list，将其拆分成5份，然后上面线程池创建也是5个核心线程，刚好执行
        List> partition = ListUtils.partition(entityList, 10);
        //使用CountDownLatch保证所有线程都执行完成
        CountDownLatch sonLatch = new CountDownLatch(5);
        //主线程的 肯定为1
        CountDownLatch mainLatch = new CountDownLatch(1);
        AtomicBoolean hasError = new AtomicBoolean(false);
        partition.forEach(item -> {
            poolExecutor.execute(() -> {
                doSave(item, sonLatch, hasError, mainLatch);
            });
        });
        try {
            //此处应该是用try catch 包裹着主线程的所有业务代码，以此保证主线程中任何一处报错都可以通知子线程
            //这里加一个是为了调试主线程中的数据入库操作
            MoreTestEntity entity = new MoreTestEntity();
            entity.setId((long) 99999);
            entity.setA(UUID.randomUUID().toString());
            entity.setB(UUID.randomUUID().toString());
            entity.setC(UUID.randomUUID().toString());
            entity.setD(UUID.randomUUID().toString());
            entity.setE(UUID.randomUUID().toString());
            entity.setF(UUID.randomUUID().toString());
            entity.setG(UUID.randomUUID().toString());
            entity.setH(UUID.randomUUID().toString());
            entity.setI(UUID.randomUUID().toString());
            entity.setJ(UUID.randomUUID().toString());
            entity.setK(UUID.randomUUID().toString());
            save(entity);
            //主线程报错
            int i = 10 / 0;
            sonLatch.await();
        } catch (InterruptedException e) {
            hasError.set(true);
            e.printStackTrace();
        }
        mainLatch.countDown();
        long end = System.currentTimeMillis();
        System.err.println(end - start);
        //关闭线程池
        if (!poolExecutor.isShutdown()) {
            poolExecutor.shutdown();
        }
        return end - start;
    }
    /**
     * 包装后的子线程的保存代码
     *
     * @param entityList 要保存的集合
     * @param sonLatch   子线程 CountDownLatch
     * @param hasError   是否发生错误
     * @param mainLatch  主线程 CountDownLatch
     */
    private void doSave(List entityList,
                        CountDownLatch sonLatch,
                        AtomicBoolean hasError,
                        CountDownLatch mainLatch) {
        TransactionStatus transactionStatus = dataSourceTransactionManager.getTransaction(transactionDefinition);
        try {
            //            //子线程报错
            //            int i = 10 / 0;
            saveBatch(entityList);
        } catch (Throwable throwable) {
            throwable.printStackTrace();
            hasError.set(true);
        } finally {
            //这是必须的，每个子线程走完，要让主线程继续走，然后再回到子线程的每个任务，决定是提交还是回滚
            sonLatch.countDown();
        }
        try {
            //等待主线程的执行结束
            mainLatch.await();
        } catch (InterruptedException e) {
            e.printStackTrace();
            hasError.set(true);
        }
        //事务操作
        if (hasError.get()) {
            dataSourceTransactionManager.rollback(transactionStatus);
        } else {
            dataSourceTransactionManager.commit(transactionStatus);
        }
    }
}

分别放开子线程报错和主线程报错，会发现事务都可以正常回滚，达到了预期的效果。

主要思路就是通过子线程CountDownLatch和主线程CountDownLatch，控制线程好代码的执行顺序即可。

最后补充几点：

• 上述代码中的countDown()一旦出现不执行的情况那会导致线程堵塞堆积，所以建议给await()增加超时时间
• 这样操作可能还会出现问题，比如主线程通知子线程可以进行实务操作了，但是各个子线程之间非透明，所以还是有几率存在某个子线程事务回滚失败的情况。

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