Flink读写Kafka
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2022-07-14 13:35:02
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Kafka 创建 两个topic 一个用于发送信息 一个用于接收Flink处理之后的信息
Kafka生产者Java代码
package cn.oneseek;
import cn.oneseek.util.JsonData;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;
import java.util.HashMap;
import java.util.Map;
import java.util.Properties;
public class Producer {
public static void main(String[] args) {
//配置信息
Properties props = new Properties();
//kafka服务器地址
props.put("bootstrap.servers", "localhost:9092");
//设置数据key和value的序列化处理类
props.put("key.serializer", StringSerializer.class);
props.put("value.serializer", StringSerializer.class);
//创建生产者实例
KafkaProducer<String,String> producer = new KafkaProducer<>(props);
Map<String,String> map = new HashMap<>();
map.put("单体Json",JsonData.str1);
map.put("嵌套单体Json",JsonData.str2);
map.put("数组Json",JsonData.str3);
map.put("嵌套Json数组",JsonData.str4);
map.put("变体Json(子Json为单体Json或Json数组)",JsonData.str5);
for (Map.Entry<String,String> entry:map.entrySet()){
ProducerRecord record = new ProducerRecord<String, String>("test", entry.getValue());
//发送记录
producer.send(record);
}
producer.close();
}
}
Kafka消费者java代码
package cn.oneseek;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.serialization.StringDeserializer;
import java.time.Duration;
import java.util.Arrays;
import java.util.Properties;
public class Consumer {
public static void main(String[] args) {
//配置信息
Properties props = new Properties();
//kafka服务器地址
props.put("bootstrap.servers", "localhost:9092");
//必须指定消费者组
props.put("group.id", "test-consumer-group");
//设置数据key和value的序列化处理类
props.put("key.deserializer", StringDeserializer.class);
props.put("value.deserializer", StringDeserializer.class);
//创建消息者实例
KafkaConsumer<String,String> consumer = new KafkaConsumer<>(props);
//订阅topic1的消息
consumer.subscribe(Arrays.asList("test1"));
//到服务器中读取记录
while (true){
ConsumerRecords<String,String> records = consumer.poll(100);
for(ConsumerRecord<String,String> record : records){
System.out.println(record.value());
}
}
}
}