一、rdkafka简介
rdkafka是一个高性能的消息队列中间件,它基于C++编写而成,具有很好的可扩展性和可靠性,适用于各类分布式场景下的数据传输等场景,目前已应用于多个大型在线系统中。
rdkafka主要特点如下:
1、高吞吐量:消息传输快速
2、支持多语言:除了C++,还支持Java、Python等语言
3、支持多种传输协议:比如TCP、UDP等协议
4、高可靠性:消息传输过程中保证幂等性和事务性
5、易扩展:支持集群和分布式部署
二、rdkafka使用方法
1. 安装rdkafka
在Linux系统下,可以通过以下命令安装rdkafka:
git clone https://github.com/edenhill/librdkafka.git
cd librdkafka
./configure
make
make install
2. rdafka C++ API的使用
2.1 生产者示例
以下是rdkafka生产者示例的代码:
#include <librdkafka/rdkafkacpp.h>
#include <string>
#include <iostream>
int main() {
std::string errstr;
RdKafka::Producer *producer = RdKafka::Producer::create({
{"bootstrap.servers", "localhost"},
{"message.timeout.ms", "3000"}
}, errstr);
if (!producer) {
std::cerr << "Failed to create producer: " << errstr << std::endl;
return 1;
}
RdKafka::Topic *topic = RdKafka::Topic::create(producer, "test", nullptr, errstr);
if (!topic) {
std::cerr << "Failed to create topic: " << errstr << std::endl;
return 1;
}
// 创建消息
std::string payload = "hello world";
RdKafka::Producer::Message* message = RdKafka::Producer::Message::create(topic,
RdKafka::Producer::RK_MSG_COPY /*复制消息体内容*/,
const_cast<char*>(payload.c_str()), payload.size(), nullptr, nullptr);
producer->produce(topic, RdKafka::Topic::PARTITION_UA /*指定分区,这里使用默认值*/, RdKafka::Producer::RK_MSG_COPY /*复制消息体内容*/, message, nullptr);
// 同步等待生产者发送消息的结果
producer->flush(RdKafka::Topic::PARTITION_UA, 3000);
}
2.2 消费者示例
以下是rdkafka消费者示例的代码:
#include <librdkafka/rdkafkacpp.h>
#include <iostream>
class MyEventCb : public RdKafka::EventCb {
public:
void event_cb (RdKafka::Event &event) {
switch (event.type())
{
case RdKafka::Event::EVENT_ERROR:
if (event.err()) {
std::cerr << "ERROR (event): " << RdKafka::err2str(event.err()) << std::endl;
}
break;
case RdKafka::Event::EVENT_LOG:
std::cout << "LOG-" << event.severity() << "-" << event.fac() << ": " << event.str() << std::endl;
break;
default:
std::cerr << "Unhandled event type: " << event.type() << std::endl;
break;
}
}
};
int main()
{
RdKafka::Conf *conf = RdKafka::Conf::create(RdKafka::Conf::CONF_GLOBAL);
std::string errstr;
// 配置消费者参数
if (conf->set("group.id", "test", errstr) != RdKafka::Conf::CONF_OK) {
std::cerr << errstr << std::endl;
return 1;
}
// 设置回调函数
MyEventCb eventCb;
conf->set("event_cb", &eventCb, errstr);
// 创建消费者实例
RdKafka::KafkaConsumer *consumer = RdKafka::KafkaConsumer::create(conf, errstr);
if (!consumer) {
std::cerr << "Failed to create consumer: " << errstr << std::endl;
return 1;
}
// 订阅主题
std::vector<std::string> topics = {"test"};
if (consumer->subscribe(topics) != RdKafka::ERR_NO_ERROR) {
std::cerr << "Failed to subscribe to topics: " << errstr << std::endl;
return 1;
}
while(true) {
// 接收消息
RdKafka::Message *message = consumer->consume(1000);
if (!message) {
continue;
}
if (message->err() == RdKafka::ERR_NO_ERROR) {
std::cout << "Received message:" << std::endl;
std::cout << "payload:" << std::string(static_cast<const char*>(message->payload()), message->len()) << std::endl;
}
delete message;
}
return 0;
}
三、rdkafka集成到项目中的示例
以下是rdkafka集成到项目中的示例代码:
#include <librdkafka/rdkafkacpp.h>
#include <iostream>
#include <thread>
#include <chrono>
class KafkaConsumer {
public:
KafkaConsumer() {
conf_ = RdKafka::Conf::create(RdKafka::Conf::CONF_GLOBAL);
std::string errstr;
// 指定Kafka集群地址
if (conf_->set("bootstrap.servers", "localhost:9092", errstr) != RdKafka::Conf::CONF_OK) {
throw std::runtime_error("Failed to set broker configuration: " + errstr);
}
// 配置消费者ID
if (conf_->set("group.id", "test-group", errstr) != RdKafka::Conf::CONF_OK) {
throw std::runtime_error("Failed to set group.id configuration: " + errstr);
}
// 创建消费者实例
consumer_ = RdKafka::KafkaConsumer::create(conf_.get(), errstr);
if (!consumer_) {
throw std::runtime_error("Failed to create KafkaConsumer: " + errstr);
}
// 订阅主题
std::vector<std::string> topics = {"test-topic"};
if (consumer_->subscribe(topics) != RdKafka::ERR_NO_ERROR) {
throw std::runtime_error("Failed to subscribe to topics: " + errstr);
}
}
~KafkaConsumer() {
consumer_->close();
delete consumer_;
}
void consumeMessage() {
while (true) {
// 从Kafka服务器接收消息
RdKafka::Message *message = consumer_->consume(1000);
if (!message) {
continue;
}
if (message->err() == RdKafka::ERR_NO_ERROR) {
std::cout << "Received message: "
<< std::string(static_cast<const char*>(message->payload()), message->len()) << std::endl;
}
delete message;
}
}
private:
std::unique_ptr<RdKafka::Conf> conf_;
RdKafka::KafkaConsumer *consumer_;
};
class KafkaProducer {
public:
KafkaProducer() {
conf_ = RdKafka::Conf::create(RdKafka::Conf::CONF_GLOBAL);
std::string errstr;
// 指定Kafka集群地址
if (conf_->set("bootstrap.servers", "localhost:9092", errstr) != RdKafka::Conf::CONF_OK) {
throw std::runtime_error("Failed to set broker configuration: " + errstr);
}
// 创建生产者实例
producer_ = RdKafka::Producer::create(conf_.get(), errstr);
if (!producer_) {
throw std::runtime_error("Failed to create KafkaProducer: " + errstr);
}
}
~KafkaProducer() {
producer_->flush(0);
delete producer_;
}
void produceMessage(const std::string& message) {
RdKafka::Topic *topic = RdKafka::Topic::create(producer_, "test-topic", nullptr, errstr_);
if (!topic) {
throw std::runtime_error("Failed to create topic: " + errstr_);
}
// 创建消息
RdKafka::Producer::Message* msg = RdKafka::Producer::Message::create(
topic,
RdKafka::Producer::RK_MSG_COPY /*复制消息体内容*/,
const_cast<char*>(message.c_str()), message.size(), nullptr, nullptr);
// 发送消息,不需要等待ack
producer_->produce(topic, RdKafka::Topic::PARTITION_UA /*指定分区,这里使用默认值*/, RdKafka::Producer::RK_MSG_COPY /*复制消息体内容*/, msg, nullptr);
delete msg;
}
private:
std::unique_ptr<RdKafka::Conf> conf_;
RdKafka::Producer *producer_;
std::string errstr_;
};
int main() {
KafkaProducer producer;
producer.produceMessage("Hello World!");
// 延迟1s,确保消息已经被消费
std::this_thread::sleep_for(std::chrono::milliseconds(1000));
KafkaConsumer consumer;
consumer.consumeMessage();
return 0;
}