kafka-2.11-2.00 生产消费创建主题.md

kafka-2.11-2.00 生产消费创建主题

1、使用kafka创建主题，获取所有主题

/**
 * @author 薛向毅
 * @create 2018-09-21 14:23
 **/
public class CreateTopic {

    public static void main(String[] args) throws ExecutionException, InterruptedException {
        Properties properties  = new Properties();
        properties.put("zookeeper.connect","master:2181");
        properties.put("bootstrap.servers","master:9092");
        AdminClient adminClient = AdminClient.create(properties);
//        创建一个主题  按着官方API操作
//        Collection topics = new ArrayList<>();
        // 主题名  test  		partition 1 分区数		replicationFactor 1 副本数量
//        NewTopic aa = new NewTopic("test",1,Short.decode("1"));
//        topics.add(aa);
//        CreateTopicsResult result = adminClient.createTopics(topics);
		// 按着官方API操作   得到主题集合结果
        ListTopicsResult listTopicsResult = adminClient.listTopics();
        //得到主题名字
        KafkaFuture<Set<String>> names = listTopicsResult.names();
        Set<String> set = names.get();
        Iterator<String> it = set.iterator();
        while (it.hasNext()){
            System.out.println(it.next());
        }
        adminClient.close();
    }

}

2、kafka生产者

/**
 * @author 薛向毅
 * @create 2018-09-21 15:12
 **/
public class ProducerDemo {
    public static void main(String[] args) {
        Properties properties = new Properties();
        properties.put("bootstrap.servers","master:9092");
        properties.put("acks", "all");
        properties.put("retries", 0);
        properties.put("batch.size", 16384);
        properties.put("linger.ms", 1);
        properties.put("buffer.memory", 33554432);
        properties.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        properties.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        KafkaProducer kafkaProducer = new KafkaProducer(properties);
        for (int i = 0; i < 100; i++)
            kafkaProducer.send(new ProducerRecord<String, String>("test",Integer.toString(i), Integer.toString(i)));
        kafkaProducer.close();
    }
}

3丶kafka消费者

/**
 * @author 薛向毅
 * @create 2018-09-21 15:18
 **/
public class ConsumerDemo {
    public static void main(String[] args) {
        Properties properties = new Properties();
        properties.put("bootstrap.servers","master:9092");
        properties.put("group.id", "test");
        properties.put("enable.auto.commit", "true");
        properties.put("auto.commit.interval.ms", "1000");
        properties.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        properties.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

        KafkaConsumer kafkaConsumer = new KafkaConsumer(properties);

        kafkaConsumer.subscribe(Arrays.asList("test"));
        while (true) {
            ConsumerRecords<String, String> records = kafkaConsumer.poll(100);
            for (ConsumerRecord<String, String> record : records)
                System.out.printf("offset = %d, key = %s, value = %s%n", record.offset(), record.key(), record.value());
        }

    }
}

4丶使用docker 启动kafka的命令（自己记载怕忘记）

启动kafka容器
docker run  -d --name kafka \
-p 9092:9092 \
-e KAFKA_BROKER_ID=0 \ 
-e KAFKA_ZOOKEEPER_CONNECT=192.168.204.128:2181 \ 
-e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://192.168.204.128:9092 \
-e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 -t wurstmeister/kafka