java框架如何通过分布式锁和缓存技术在云原生应用程序中实现数据一致性？

import org.apache.curator.framework.CuratorFramework;
import org.apache.curator.framework.CuratorFrameworkFactory;
import org.apache.curator.retry.RetryNTimes;
import org.apache.curator.utils.CloseableUtils;

public class DistributedLockExample {

    public static void main(String[] args) throws Exception {
        // 创建Curator客户端
        CuratorFramework curator = CuratorFrameworkFactory.newClient("localhost:2181", new RetryNTimes(10, 1000));
        curator.start();

        // 获取锁
        String path = "/my-lock";
        curator.createIfNotExists().forPath(path);
        curator.lockInterruptibly().acquire(path);

        // 处理临界区逻辑

        // 释放锁
        curator.unlock().release(path);

        // 关闭Curator客户端
        CloseableUtils.closeQuietly(curator);
    }
}

import com.github.benmanes.caffeine.cache.Cache;
import com.github.benmanes.caffeine.cache.Caffeine;

public class CacheExample {

    public static void main(String[] args) {
        // 创建Caffeine缓存
        Cache<String, String> cache = Caffeine.newBuilder().expireAfterWrite(10, TimeUnit.MINUTES).build();

        // 存储到缓存中
        cache.put("Key", "Value");

        // 从缓存中获取
        String value = cache.getIfPresent("Key");

    }
}

// 订单创建方法
public synchronized Order createOrder(Customer customer, List<Item> items) {
    // 获取分布式锁
    curator.lockInterruptibly().acquire(lockPath);

    try {
        // 从数据库中读取库存
        for (Item item : items) {
            int availableQuantity = inventoryDao.getQuantity(item.getId());

            // 检查库存是否足够
            if (availableQuantity < item.getQuantity()) {
                throw new InsufficientQuantityException();
            }

            // 更新库存
            inventoryDao.updateQuantity(item.getId(), availableQuantity - item.getQuantity());
        }

        // 创建订单
        Order order = new Order(customer, items);
        orderDao.save(order);

        return order;
    } finally {
        // 释放分布式锁
        curator.unlock().release(lockPath);
    }
}