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在 C++ 中使用 Kafka,通常我们会使用 Confluent 的 Kafka C++ 客户端库。下面我将给出一个简单的示例,展示如何使用这个库来创建一个生产者和一个消费者。
首先,你需要安装 Confluent 的 Kafka C++ 客户端。你可以从 GitHub 上获取源代码并编译,或者如果你使用的是 Debian 或 Ubuntu,可以使用下面的命令安装:
```bash
sudo apt-get install librdkafka-dev
```
### 生产者示例
这是一个简单的 Kafka 生产者的示例代码,它会向一个名为 `test_topic` 的主题发送消息:
```cpp
#include <iostream>
#include <rdkafka/rdkafkacpp.h>
void delivery_report(RdKafka::Message &message) {
if (message.err() == RdKafka::ERR__TIMED_OUT)
std::cout << "Message delivery timed out." << std::endl;
else if (message.err())
std::cerr << "Failed to deliver message: " << message.errstr() << std::endl;
else
std::cout << "Produced message to topic " << message.topic_name()
<< " at offset " << message.offset() << std::endl;
}
int main() {
std::string errstr;
// 创建一个生产者配置实例
RdKafka::Conf *conf = RdKafka::Conf::create(RdKafka::Conf::CONF_GLOBAL);
// 设置 broker 列表
conf->set("bootstrap.servers", "localhost:9092", errstr);
if (conf->get_err()) {
std::cerr << "Failed to set 'bootstrap.servers' configuration property: "
<< conf->errstr() << std::endl;
return -1;
}
// 创建一个生产者实例
RdKafka::Producer *producer = RdKafka::Producer::create(conf, errstr);
if (!producer) {
std::cerr << "Failed to create producer: " << errstr << std::endl;
return -1;
}
// 发送消息
const char *topic = "test_topic";
const char *key = "mykey";
const char *payload = "Hello, Kafka!";
RdKafka::ErrorCode resp = producer->produce(
topic, RdKafka::TopicPartition::PARTITION_UA, RdKafka::Producer::RK_MSG_COPY,
const_cast<char *>(payload), strlen(payload), const_cast<char *>(key),
strlen(key), NULL, delivery_report);
if (resp != RdKafka::ERR_NO_ERROR) {
std::cerr << "% Produce failed: " << RdKafka::err2str(resp) << std::endl;
}
// 等待所有消息发送完成
producer->poll(0);
// 清理
delete producer;
delete conf;
return 0;
}
```
### 消费者示例
接下来是一个简单的 Kafka 消费者的示例代码,它订阅了 `test_topic` 并消费其中的消息:
```cpp
#include <iostream>
#include <rdkafka/rdkafkacpp.h>
class ConsumerRebalanceCb : public RdKafka::RebalanceCb {
public:
void on_rebalance(RdKafka::KafkaConsumer *consumer,
RdKafka::ErrorCode err, std::vector<RdKafka::TopicPartition *> &partitions, void *opaque) {
std::cerr << "Rebalance triggered: " << RdKafka::err2str(err) << std::endl;
if (err == RdKafka::ERR__ASSIGN_PARTITIONS)
consumer->assign(partitions);
else
consumer->unassign();
}
};
int main() {
std::string errstr;
RdKafka::Conf *conf = RdKafka::Conf::create(RdKafka::Conf::CONF_GLOBAL);
conf->set("bootstrap.servers", "localhost:9092", errstr);
if (conf->get_err()) {
std::cerr << "Failed to set 'bootstrap.servers' configuration property: "
<< conf->errstr() << std::endl;
return -1;
}
conf->set("group.id", "test_group", errstr);
if (conf->get_err()) {
std::cerr << "Failed to set 'group.id' configuration property: "
<< conf->errstr() << std::endl;
return -1;
}
RdKafka::KafkaConsumer *consumer = RdKafka::KafkaConsumer::create(conf, errstr);
if (!consumer) {
std::cerr << "Failed to create consumer: " << errstr << std::endl;
return -1;
}
ConsumerRebalanceCb rebalance_cb;
consumer->set_rebalance_cb(rebalance_cb);
std::vector<std::string> topics;
topics.push_back("test_topic");
consumer->subscribe(topics);
bool running = true;
while (running) {
RdKafka::Message *msg = consumer->consume(1000);
switch (msg->err()) {
case RdKafka::ERR_NO_ERROR:
std::cout << "%% Message on " << msg->topic_name()
<< " at offset " << msg->offset() << ": "
<< (char *)msg->payload() << std::endl;
break;
case RdKafka::ERR__PARTITION_EOF:
std::cerr << "%% Reached end of partition" << std::endl;
break;
default:
std::cerr << "%% Error " << msg->err() << ": "
<< msg->errstr() << std::endl;
break;
}
delete msg;
}
consumer->unsubscribe();
delete consumer;
delete conf;
return 0;
}
```
请确保将上述代码中的 `localhost:9092` 替换为你实际的 Kafka 服务器地址。此外,你也需要根据你的需求调整 topic 名称、组 ID 等参数。这两个示例展示了如何在 C++ 中使用 Kafka 进行消息的生产和消费。
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