kafka java api编程

1）创建kafka的topic（fyy_topic）

/home/opt/kafka_2.11-0.10.2.2/bin/kafka-topics.sh --create --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181 --replication-factor 3 --partitions 3 --topic fyy_topic

2）查看topic的信息

/home/opt/kafka_2.11-0.10.2.2/bin/kafka-topics.sh --describe --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181 --topic fyy_topic

3）kafka生产者

(1)创建kafka常用配置文件（KafkaProperties.java）

package com.fyy.spark.kafka;/*** @author fanyanyan* @Title: KafkaProperties* @ProjectName SparkStreamingProject*/
/*** Kafka常用配置文件*/
public class KafkaProperties {public static final String ZK = "01.server.bd:2181,02.server.bd:2181,03.server.bd:2181";public static final String TOPIC = "fyy_topic";public static final String BROKER_LIST = "01.server.bd:9092,02.server.bd:9092,03.server.bd:9092";public static final String GROUP_ID = "fyy_group1";}

(2)创建kafka消费者（KafkaProducer.java）

package com.fyy.spark.kafka;/*** @author fanyanyan* @Title: KafkaProducer* @ProjectName SparkStreamingProject*/import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;import java.util.Properties;/*** Kafka生产者*/
public class KafkaProducer extends Thread{private String topic;private Producer producer;public KafkaProducer(String topic) {this.topic = topic;Properties properties = new Properties();properties.put("metadata.broker.list",KafkaProperties.BROKER_LIST);properties.put("serializer.class","kafka.serializer.StringEncoder");properties.put("request.required.acks","1");producer = new Producer(new ProducerConfig(properties));}@Overridepublic void run() {int messageNo = 1;// 循环产生数据流while(true) {String message = "fyy_message_" + messageNo;producer.send(new KeyedMessage(topic, message));System.out.println("Sent: " + message);messageNo ++ ;try{Thread.sleep(1000);} catch (Exception e){e.printStackTrace();}}}
}

(3)创建消费者（KafkaConsumer.java）

package com.fyy.spark.kafka;/*** @author fanyanyan* @Title: KafkaConsumer* @ProjectName SparkStreamingProject*/import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.consumer.KafkaStream;import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;/*** Kafka消费者*/public class KafkaConsumer extends Thread{private String topic;public KafkaConsumer(String topic){this.topic = topic;}private ConsumerConnector createConnector(){Properties properties = new Properties();properties.put("zookeeper.connect", KafkaProperties.ZK);properties.put("group.id",KafkaProperties.GROUP_ID);return Consumer.createJavaConsumerConnector(new ConsumerConfig(properties));}@Overridepublic void run() {ConsumerConnector consumer = createConnector();Map topicCountMap = new HashMap();topicCountMap.put(topic, 1);Map>> messageStream = consumer.createMessageStreams(topicCountMap);KafkaStream stream = messageStream.get(topic).get(0);// 获取每次接收到的数据ConsumerIterator iterator = stream.iterator();while (iterator.hasNext()){String message = new String(iterator.next().message());System.out.println("rec: " + message);}}
}

(4)执行入口程序（KafkaTestApp.java）

package com.fyy.spark.kafka;import com.fyy.spark.kafka.KafkaConsumer;/*** @author fanyanyan* @Title: KafkaTesttApp* @ProjectName SparkStreamingProject*/
/*** Kafka Java API测试*/
public class KafkaTesttApp {public static void main(String[] args) {// 生产者new KafkaProducer(KafkaProperties.TOPIC).start();// 消费者new KafkaConsumer(KafkaProperties.TOPIC).start();}
}

执行效果如下：

4）补充一下kafka的常用的命令行操作

# 查看topic信息
/home/opt/kafka_2.11-0.10.2.2/bin/kafka-topics.sh --list --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181

# 创建topic
/home/opt/kafka_2.11-0.10.2.2/bin/kafka-topics.sh --create --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181 --replication-factor 3 --partitions 3 --topic fyy_topic

# 删除topic
server.properties 设置 delete.topic.enable=true
/home/opt/kafka_2.11-0.10.2.2/bin/kafka-topics.sh --delete --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181 --topic fyy_topic

# 往Kafka的topic中写入数据(命令行的生成者)
/home/opt/kafka_2.11-0.10.2.2/bin/kafka-console-producer.sh --broker-list 01.server.bd:9092,02.server.bd:9092,03.server.bd:9092 --topic fyy_topic

#启动消费者
/home/opt/kafka_2.11-0.10.2.2/bin/kafka-console-consumer.sh --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181 --topic fyy_topic--from-beginning

# 查看kafka的描述信息
 /home/opt/kafka_2.11-0.10.2.2/bin/kafka-topics.sh --describe --zookeeper 01.server.bd:2181,02.server.bd:2181,03.server.bd:2181 --topic fyy_topic

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