如何将C++框架与分布式系统集成

// 服务端

zmq::context_t context;

zmq::socket_t socket(context, ZMQ_REP);

while (true) {

  // 接收请求

  zmq::message_t request;

  socket.recv(&request);

  // 处理请求并构造响应

  std::string response = process_request(request.to_string());

  // 发送响应

  socket.send(zmq::message_t(response));

}

// 客户端

zmq::context_t context;

zmq::socket_t socket(context, ZMQ_REQ);

// 发送请求

socket.send(zmq::message_t("请求内容"));

// 接收响应

zmq::message_t response;

socket.recv(&response);

// 连接到 MongoDB 数据库

mongoc_client_t* client = mongoc_client_new("mongodb://localhost:27017");

mongoc_collection_t* collection = mongoc_client_get_collection(client, "my_database", "my_collection");

// 插入文档

bson_t* document = bson_new();

BSON_appEND_UTF8(document, "name", "John Doe");

mongoc_collection_insert_one(collection, document, NULL, NULL);

// 查询文档

bson_t* query = bson_new();

BSON_APPEND_INT32(query, "age", 30);

mongoc_cursor_t* cursor = mongoc_collection_find(collection, MONGOC_QUERY_NONE, 0, 0, 0, query);

const bson_t* doc;

while (mongoc_cursor_next(cursor, &doc)) {

  // 处理查询结果

}

// 消费者

Kafka::Consumer consumer({{"group.id", "my-group"}, {"bootstrap.servers", "localhost:9092"}});

consumer.subscribe({"my-topic"});

// 监听消息并处理

consumer.run([&](const Kafka::Message& msg) {

  // 处理消息

});

// 生产者

Kafka::Producer producer({{"Bootstrap.servers", "localhost:9092"}});

// 发送消息

producer.produce("my-topic", Kafka::Message(msg));