kafka集群搭建和使用Java写kafka生产者消费者
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转自:http://chengjianxiaoxue.iteye.com/blog/2190488
1 kafka集群搭建
1.zookeeper集群 搭建在110, 111,112 2.kafka使用3个节点110, 111,112 修改配置文件config/server.properties broker.id=110 host.name=192.168.1.110 log.dirs=/usr/local/kafka_2.10-0.8.2.0/logs 复制到其他两个节点,然后修改对应节点上的config/server.pro 3.启动,在三个节点分别执行 bin/kafka-server-start.sh config/server.properties >/dev/null 2>&1 & 4 创建主题 bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 3 --partitions 3 --topic test 5 查看主题详细 bin/kafka-topics.sh --describe --zookeeper localhost:2181 --topic test --topic test Topic:test PartitionCount:3 ReplicationFactor:3 Configs: Topic: test Partition: 0 Leader: 110 Replicas: 110,111,112 Isr: 110,111,112 Topic: test Partition: 1 Leader: 111 Replicas: 111,112,110 Isr: 111,112,110 Topic: test Partition: 2 Leader: 112 Replicas: 112,110,111 Isr: 112,110,111 6 去zk上看kafka集群 [zk: localhost:2181(CONNECTED) 5] ls / [admin, zookeeper, consumers, config, controller, zk-fifo, storm, brokers, controller_epoch] [zk: localhost:2181(CONNECTED) 6] ls /brokers ----> 查看注册在zk内的kafka [topics, ids] [zk: localhost:2181(CONNECTED) 7] ls /brokers/ids [112, 110, 111] [zk: localhost:2181(CONNECTED) 8] ls /brokers/ids/112 [] [zk: localhost:2181(CONNECTED) 9] ls /brokers/topics [test] [zk: localhost:2181(CONNECTED) 10] ls /brokers/topics/test [partitions] [zk: localhost:2181(CONNECTED) 11] ls /brokers/topics/test/partitions [2, 1, 0] [zk: localhost:2181(CONNECTED) 12]
2 kafka java调用:
2.1 java端生产数据, kafka集群消费数据:
1 创建maven工程,pom.xml中增加如下: <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.10</artifactId> <version>0.8.2.0</version> </dependency> 2 java代码: 向主题test内写入数据 import java.util.Properties; import java.util.concurrent.TimeUnit; import kafka.javaapi.producer.Producer; import kafka.producer.KeyedMessage; import kafka.producer.ProducerConfig; import kafka.serializer.StringEncoder; public class kafkaProducer extends Thread{ private String topic; public kafkaProducer(String topic){ super(); this.topic = topic; } @Override public void run() { Producer producer = createProducer(); int i=0; while(true){ producer.send(new KeyedMessage<Integer, String>(topic, "message: " + i++)); try { TimeUnit.SECONDS.sleep(1); } catch (InterruptedException e) { e.printStackTrace(); } } } private Producer createProducer() { Properties properties = new Properties(); properties.put("zookeeper.connect", "192.168.1.110:2181,192.168.1.111:2181,192.168.1.112:2181");//声明zk properties.put("serializer.class", StringEncoder.class.getName()); properties.put("metadata.broker.list", "192.168.1.110:9092,192.168.1.111:9093,192.168.1.112:9094");// 声明kafka broker return new Producer<Integer, String>(new ProducerConfig(properties)); } public static void main(String[] args) { new kafkaProducer("test").start();// 使用kafka集群中创建好的主题 test } } 3 kafka集群中消费主题test的数据: [[email protected] kafka]# bin/kafka-console-consumer.sh --zookeeper localhost:2181 --topic test --from-beginnin 4 启动java代码,然后在看集群消费的数据如下: message: 0 message: 1 message: 2 message: 3 message: 4 message: 5 message: 6 message: 7 message: 8 message: 9 message: 10 message: 11 message: 12 message: 13 message: 14 message: 15 message: 16 message: 17 message: 18 message: 19 message: 20 message: 21
3 kafka 使用Java写消费者,这样 先运行kafkaProducer ,在运行kafkaConsumer,即可得到生产者的数据:
import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.Properties; import kafka.consumer.Consumer; import kafka.consumer.ConsumerConfig; import kafka.consumer.ConsumerIterator; import kafka.consumer.KafkaStream; import kafka.javaapi.consumer.ConsumerConnector; /** * 接收数据 * 接收到: message: 10 接收到: message: 11 接收到: message: 12 接收到: message: 13 接收到: message: 14 * @author zm * */ public class kafkaConsumer extends Thread{ private String topic; public kafkaConsumer(String topic){ super(); this.topic = topic; } @Override public void run() { ConsumerConnector consumer = createConsumer(); Map<String, Integer> topicCountMap = new HashMap<String, Integer>(); topicCountMap.put(topic, 1); // 一次从主题中获取一个数据 Map<String, List<KafkaStream<byte[], byte[]>>> messageStreams = consumer.createMessageStreams(topicCountMap); KafkaStream<byte[], byte[]> stream = messageStreams.get(topic).get(0);// 获取每次接收到的这个数据 ConsumerIterator<byte[], byte[]> iterator = stream.iterator(); while(iterator.hasNext()){ String message = new String(iterator.next().message()); System.out.println("接收到: " + message); } } private ConsumerConnector createConsumer() { Properties properties = new Properties(); properties.put("zookeeper.connect", "192.168.1.110:2181,192.168.1.111:2181,192.168.1.112:2181");//声明zk properties.put("group.id", "group1");// 必须要使用别的组名称, 如果生产者和消费者都在同一组,则不能访问同一组内的topic数据 return Consumer.createJavaConsumerConnector(new ConsumerConfig(properties)); } public static void main(String[] args) { new kafkaConsumer("test").start();// 使用kafka集群中创建好的主题 test } }
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