kafka示例

comp-example/pom.xml

@@ -32,6 +32,11 @@
			<artifactId>zookeeper</artifactId>
			<version>3.4.12</version>
		</dependency>
		<dependency>
			<groupId>org.apache.kafka</groupId>
			<artifactId>kafka-clients</artifactId>
			<version>0.10.2.1</version>
		</dependency>
	</dependencies>

comp-example/src/test/java/com/ai/ipu/example/kafka/KafkaCustomerExample.java

@@ -0,0 +1,34 @@
package com.ai.ipu.example.kafka;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import java.util.Arrays;
import java.util.Properties;
public class KafkaCustomerExample {
    public static void main(String[] args) throws InterruptedException {
        Properties properties = new Properties();
        properties.put("bootstrap.servers", "47.105.160.21:9091,47.105.160.21:9092,47.105.160.21:9093");
        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put(ConsumerConfig.GROUP_ID_CONFIG ,"test") ;
        properties.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, "true");
        properties.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "1000");
        KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<String, String>(properties);
        kafkaConsumer.subscribe(Arrays.asList("test"));
        try {
            while (true) {
                ConsumerRecords<String, String> records = kafkaConsumer.poll(100);
                for (ConsumerRecord<String, String> record : records) {
                    System.out.printf("offset = %d, value = %s", record.offset(), record.value());
                    System.out.println("\n=================================");
                }
            }
        } finally {
            kafkaConsumer.close();
        }
    }
}

comp-example/src/test/java/com/ai/ipu/example/kafka/KafkaProducerExample.java

@@ -0,0 +1,33 @@
package com.ai.ipu.example.kafka;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import java.util.ArrayList;
import java.util.List;
import java.util.Properties;
import java.util.Scanner;
public class KafkaProducerExample {
    public static void main(String[] args){
        Properties properties = new Properties();
        properties.put("bootstrap.servers", "47.105.160.21:9091,47.105.160.21:9092,47.105.160.21:9093");
        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("request.required.acks", "all");
        KafkaProducer<String, String> producer = new KafkaProducer<String, String>(properties);
        try {
            Scanner sc = new Scanner(System.in);
            int i = 0;
            while (true) {
                i++;
                System.out.println("请输入第" + i + "条信息的内容：");
                String message = sc.nextLine();
                producer.send(new ProducerRecord<String, String>("test", message));
                System.out.println("Sent:" + message);
            }
        } finally {
            producer.close();
        }
    }
}

comp-example/src/test/java/com/ai/ipu/example/zookeeper/ZookeeperExample.java

@@ -56,7 +56,7 @@ public class ZookeeperExample {
        System.out.println("---------------------------------");
        // 这里再次进行修改，则不会触发Watch事件，这就是我们验证ZK的一个特性“一次性触发”，也就是说设置一次监视，只会对下次操作起一次作用。
        System.out.println("3再次修改节点数据 ");
        System.out.println("再次修改节点数据 ");
        zk.setData("/myzktest", "liutong2".getBytes(), -1);
        System.out.println("/myzktest的数据为：");
        System.out.println(new String(zk.getData("/myzktest", false, null)));