1.同步
public class ProducerMain2 {
public static void main(String[] args) throws Exception {
// 配置信息
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
// 设置数据key的序列化处理类
props.put("key.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
// 设置数据value的序列化处理类
props.put("value.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
// 创建生产者实例
Producer producer = new KafkaProducer<>(props);
// 创建一条新的记录,第一个参数为Topic名称
ProducerRecord record = new ProducerRecord("test", "currenttime","now is :"+ new Date().toString());
// 发送记录
Future send=producer.send(record);
RecordMetadata recordMetadata=send.get();
System.out.println(recordMetadata);
producer.close();
}
}
2异步:发送并忘记
package org.crazyit.cloud;
import java.util.Date;
import java.util.Properties;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;
/**
*/
public class ProducerMain {
public static void main(String[] args) throws Exception {
// 配置信息
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
// 设置数据key的序列化处理类
props.put("key.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
// 设置数据value的序列化处理类
props.put("value.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
// 创建生产者实例
Producer producer = new KafkaProducer<>(props);
// 创建一条新的记录,第一个参数为Topic名称
ProducerRecord record = new ProducerRecord("test", "currenttime","now is :"+ new Date().toString());
// 发送记录
producer.send(record);
producer.close();
}
}
3.异步回调
package org.crazyit.cloud;
import java.util.Date;
import java.util.Properties;
import java.util.concurrent.Future;
import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.apache.kafka.common.serialization.StringSerializer;
/**
*/
public class ProducerMain3 {
public static void main(String[] args) throws Exception {
// 配置信息
Properties props = new Properties();
props.put("bootstrap.servers", "localhost:9092");
// 设置数据key的序列化处理类
props.put("key.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
// 设置数据value的序列化处理类
props.put("value.serializer",
"org.apache.kafka.common.serialization.StringSerializer");
// 创建生产者实例
Producer producer = new KafkaProducer<>(props);
// 创建一条新的记录,第一个参数为Topic名称
ProducerRecord record = new ProducerRecord("test", "currenttime","now is :"+ new Date().toString());
// 发送记录
producer.send(record,new Callback()
{
@Override
public void onCompletion(RecordMetadata metadata, Exception exception) {
System.out.println("sent succesfully."+metadata);
}
});
producer.close();
}
}