#include "redis.h"

/* 根据配置文件初始化数据库状态 */
void initDb(redisDb *db, dict *dict, redisConfig *config) {
    db->id = 0; // 假设数据库ID为0
    db->dict = dict; // 设置数据库字典
    db->expires = dictCreate(...); // 创建过期字典
    db->avg_ttl = 0; // 初始化平均时间至生
    db->defrag_later = listCreate(); // 创建defrag_later列表
    db->config = config; // 设置数据库配置
    // ... 其他初始化代码
}

/* 创建一个新的Redis数据库实例 */
redisDb *createDb(redisConfig *config) {
    redisDb *db = zmalloc(sizeof(*db));
    dict *d = dictCreate(...); // 创建数据字典
    if (db && d) {
        initDb(db, d, config); // 初始化数据库状态
    }
    return db;
}

/* 主要的Redis服务器结构 */
struct redisServer {
    // ... 其他字段
    redisDb *db; // 指向数据库的指针
};

/* 服务器初始化函数 */
void initServerConfig(redisServer *server) {
    redisConfig *config = zmalloc(sizeof(*config));
    // ... 加载配置信息
    server->db = createDb(config); // 创建数据库实例
}

int main() {
    redisServer server;
    initServerConfig(&server); // 初始化服务器配置
    // ... 其他逻辑
    return 0;
}

import redis.clients.jedis.Jedis;

public class RedisLikeService {
    private Jedis jedis;
    private static final String LIKE_KEY_PREFIX = "like:";

    public RedisLikeService(Jedis jedis) {
        this.jedis = jedis;
    }

    // 用户点赞
    public long like(String userId, String entityType, String entityId) {
        String likeKey = LIKE_KEY_PREFIX + entityType + ":" + entityId;
        return jedis.sadd(likeKey, userId);
    }

    // 用户取消点赞
    public long unlike(String userId, String entityType, String entityId) {
        String likeKey = LIKE_KEY_PREFIX + entityType + ":" + entityId;
        return jedis.srem(likeKey, userId);
    }

    // 检查用户是否点赞
    public boolean isLiked(String userId, String entityType, String entityId) {
        String likeKey = LIKE_KEY_PREFIX + entityType + ":" + entityId;
        return jedis.sismember(likeKey, userId);
    }

    // 获取点赞用户列表
    public Set<String> getLikedUsers(String entityType, String entityId) {
        String likeKey = LIKE_KEY_PREFIX + entityType + ":" + entityId;
        return jedis.smembers(likeKey);
    }

    // 获取点赞数
    public long getLikeCount(String entityType, String entityId) {
        String likeKey = LIKE_KEY_PREFIX + entityType + ":" + entityId;
        return jedis.scard(likeKey);
    }
}

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-openfeign</artifactId>
</dependency>

@SpringBootApplication
@EnableFeignClients
public class ConsumerApplication {
    public static void main(String[] args) {
        SpringApplication.run(ConsumerApplication.class, args);
    }
}

@FeignClient(name = "provider")
public interface ProviderClient {
    @GetMapping("/provider/hello")
    String hello(@RequestParam(value = "name") String name);
}

@RestController
public class ConsumerController {
    @Autowired
    private ProviderClient providerClient;

    @GetMapping("/consumer/hello")
    public String hello(@RequestParam(value = "name") String name) {
        return providerClient.hello(name);
    }
}

<dependencies>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-data-elasticsearch</artifactId>
    </dependency>
    <!-- 其他依赖 -->
</dependencies>

spring.data.elasticsearch.cluster-name=your-cluster-name
spring.data.elasticsearch.cluster-nodes=localhost:9300

@Document(indexName = "your_index_name", type = "your_type")
public class YourEntity {
    @Id
    private String id;
    // 其他属性
}

public interface YourEntityRepository extends ElasticsearchRepository<YourEntity, String> {
    // 自定义查询方法
}

@Autowired
YourEntityRepository repository;

public YourEntity findById(String id) {
    return repository.findById(id).orElse(null);
}

public void index(YourEntity entity) {
    repository.save(entity);
}

public List<YourEntity> search(String query) {
    // 使用Elasticsearch查询构建器
    BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
    // 添加查询条件
    // ...
    return repository.search(queryBuilder).getContent();
}

import random

from scrapy.downloadermiddlewares.proxy import ProxyMiddleware
from scrapy.http import HtmlResponse

class CustomProxyMiddleware(ProxyMiddleware):
    def __init__(self, proxy_url=None, proxy_user=None, proxy_pass=None, *args, **kwargs):
        super().__init__(*args, **kwargs)
        self.proxy_url = proxy_url
        self.proxy_user = proxy_user
        self.proxy_pass = proxy_pass

    def process_request(self, request, spider):
        # 随机选择代理服务器
        proxy = random.choice(spider.proxies)
        request.meta['proxy'] = proxy

        # 如果代理需要认证，添加代理认证信息
        if self.proxy_user and self.proxy_pass:
            encoded_user_pass = f"{self.proxy_user}:{self.proxy_pass}".encode('utf-8')
            auth_header = b'Basic ' + b64encode(encoded_user_pass)
            request.headers['Proxy-Authorization'] = auth_header.decode('utf-8')

import java.util.concurrent.atomic.AtomicInteger;

public class DistributedSecKillSystem {

    // 库存数量
    private final AtomicInteger stockCount = new AtomicInteger(10); // 假设只有10个商品

    // 秒杀方法
    public boolean startSecKill() {
        // 使用CAS操作来减少库存
        while (true) {
            int currentCount = stockCount.get();
            if (currentCount <= 0) {
                // 库存不足
                return false;
            }
            // 尝试减少库存
            if (stockCount.compareAndSet(currentCount, currentCount - 1)) {
                // 秒杀成功
                System.out.println("秒杀成功！");
                return true;
            }
            // 如果CAS失败，说明库存可能已经被其他请求减少，重试
        }
    }

    public static void main(String[] args) {
        DistributedSecKillSystem secKillSystem = new DistributedSecKillSystem();

        // 模拟多个线程并发执行秒杀
        for (int i = 0; i < 20; i++) {
            new Thread(() -> {
                boolean success = secKillSystem.startSecKill();
                if (!success) {
                    System.out.println("秒杀失败！");
                }
            }).start();
        }
    }
}

<dependency>
    <groupId>org.apache.servicecomb</groupId>
    <artifactId>brave-opentracing-servlet</artifactId>
    <version>您的ServiceComb版本</version>
</dependency>
<dependency>
    <groupId>io.zipkin.java</groupId>
    <artifactId>zipkin-server</artifactId>
    <version>您的Zipkin版本</version>
</dependency>
<dependency>
    <groupId>io.zipkin.java</groupId>
    <artifactId>zipkin-autoconfigure-ui</artifactId>
    <version>您的Zipkin版本</version>
</dependency>

servicecomb:
  tracing:
    zipkin:
      enabled: true
      baseUrl: http://localhost:9411 # Zipkin 服务器的 URL

java -jar zipkin.jar

@SpringBootApplication
public class YourApplication {

    public static void main(String[] args) {
        SpringApplication.run(YourApplication.class, args);
    }

    @Bean
    public RestTemplate restTemplate(ClientHttpRequestFactory factory) {
        return new RestTemplate(factory);
    }

    @Bean
    public ClientHttpRequestFactory clientHttpRequestFactory() {
        return new HttpComponentsClientHttpRequestFactory();
    }
}

git clone https://github.com/Terry-Mao/go-im.git

cd go-im

go mod tidy

go build -o go-im

./go-im -c config.json

import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;

@Component
public class ScheduledTask {

    @Scheduled(fixedRate = 5000) // 每5秒执行一次
    public void performTask() {
        // 任务内容
    }
}

import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;

@Component
public class DistributedScheduledTask {

    @Scheduled(fixedRate = 5000)
    public void performTask() {
        // 使用分布式锁确保只有一个实例执行任务
        boolean isLocked = tryLock(); // 尝试获取分布式锁
        if (isLocked) {
            // 执行任务
            doTask();
            // 释放锁
            releaseLock();
        }
    }

    private boolean tryLock() {
        // 实现分布式锁获取逻辑
        // 返回是否获取锁的结果
    }

    private void doTask() {
        // 执行实际的定时任务
    }

    private void releaseLock() {
        // 实现分布式锁释放逻辑
    }
}