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使用java创建kafka的生产者和消费者
创建一个Kafka的主题，连接到zk集群，副本因子3，分区3，主题名是test111
[root@h5 kafka]# bin/kafka-topics.sh --create --zookeeper h5:2181 --topic test111 --replication-factor 3 --partitions 3
查看Kafka的主题详情
[root@h5 kafka]# bin/kafka-topics.sh --describe --zookeeper h5:2181 --topic test111
查看Kafka所有的主题
[root@h5 kafka]# bin/kafka-topics.sh --list --zookeeper h5:2181
删除Kafka指定的主题
[root@h5 kafka]# bin/kafka-topics.sh --delete --zookeeper h5:2181,h6:2181,h7:2181 --topic test111
如删除时提示
Topic guowang1 is marked for deletion.
Note: This will have no impact if delete.topic.enable is not set to true.
请修改Kafka/config/server.properties新增delete.topic.enable=true
kafka_2.10-0.8.2.0.jar
kafka-clients-0.8.2.0.jar
metrics-core-2.2.0.jar
scala-library-2.10.4.jar
zkclient-0.3.jar
zookeeper-3.4.6.jar
1、生产者
1 package storm.test.kafka; 2 3 import java.util.Properties; 4 5 import kafka.javaapi.producer.Producer; 6 import kafka.producer.KeyedMessage; 7 import kafka.producer.ProducerConfig; 8 import kafka.serializer.StringEncoder; 9 10 public class TestProducer {11 12 public static void main(String[] args) throws Exception {13 Properties prop = new Properties();14 prop.put("zookeeper.connect", "h5:2181,h6:2181,h7:2181");15 prop.put("metadata.broker.list", "h5:9092,h6:9092,h7:9092");16 prop.put("serializer.class", StringEncoder.class.getName());17 Producer<String, String> producer = new Producer<String, String>(new ProducerConfig(prop));18 int i = 0;19 while(true){20 producer.send(new KeyedMessage<String, String>("test111", "msg:"+i++));21 Thread.sleep(1000);22 }23 }24 25 }
2、消费者
1 package storm.test.kafka; 2 3 import java.util.HashMap; 4 import java.util.List; 5 import java.util.Map; 6 import java.util.Properties; 7 8 import kafka.consumer.Consumer; 9 import kafka.consumer.ConsumerConfig;10 import kafka.consumer.ConsumerIterator;11 import kafka.consumer.KafkaStream;12 import kafka.javaapi.consumer.ConsumerConnector;13 import kafka.serializer.StringEncoder;14 15 public class TestConsumer {16 17 static final String topic = "test111";18 19 public static void main(String[] args) {20 Properties prop = new Properties();21 prop.put("zookeeper.connect", "h5:2181,h6:2181,h7:2181");22 prop.put("serializer.class", StringEncoder.class.getName());23 prop.put("metadata.broker.list", "h5:9092,h6:9092,h7:9092");24 prop.put("group.id", "group1");25 ConsumerConnector consumer = Consumer.createJavaConsumerConnector(new ConsumerConfig(prop));26 Map<String, Integer> topicCountMap = new HashMap<String, Integer>();27 topicCountMap.put(topic, 1);28 Map<String, List<KafkaStream<byte[], byte[]>>> messageStreams = consumer.createMessageStreams(topicCountMap);29 final KafkaStream<byte[], byte[]> kafkaStream = messageStreams.get(topic).get(0);30 ConsumerIterator<byte[], byte[]> iterator = kafkaStream.iterator();31 while (iterator.hasNext()) {32 String msg = new String(iterator.next().message());33 System.out.println("收到消息："+msg);34 }35 }36 37 }
使用java创建kafka的生产者和消费者