标签:comm 数据 XML author 序列化 ati stream on() vax
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>com.hashleaf</groupId> <artifactId>kafka</artifactId> <version>0.0.1-SNAPSHOT</version> <dependencies> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.9.2</artifactId> <version>0.8.2.1</version> </dependency> <dependency> <groupId>log4j</groupId> <artifactId>log4j</artifactId> <version>1.2.15</version> <exclusions> <exclusion> <artifactId>jmxtools</artifactId> <groupId>com.sun.jdmk</groupId> </exclusion> <exclusion> <artifactId>jmxri</artifactId> <groupId>com.sun.jmx</groupId> </exclusion> <exclusion> <artifactId>jms</artifactId> <groupId>javax.jms</groupId> </exclusion> <exclusion> <artifactId>mail</artifactId> <groupId>javax.mail</groupId> </exclusion> </exclusions> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.11</version> <scope>test</scope> </dependency> </dependencies> <build> <plugins> <plugin> <artifactId>maven-compiler-plugin</artifactId> <configuration> <source>1.6</source> <target>1.6</target> </configuration> </plugin> </plugins> </build> </project>
package com.hashleaf.kafka; import java.util.HashMap; import java.util.List; import java.util.Map; import java.util.Properties; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import kafka.consumer.Consumer; import kafka.consumer.ConsumerConfig; import kafka.consumer.ConsumerIterator; import kafka.consumer.KafkaStream; import kafka.javaapi.consumer.ConsumerConnector; import kafka.message.MessageAndMetadata; import kafka.serializer.Decoder; import kafka.utils.VerifiableProperties; /** * 自定义消息消费者 * @author xiaojf 294825811@qq.com * @since 2015-7-15 下午11:10:28 */ public class MyConsumer { private final ConsumerConnector consumer; public MyConsumer(){ Properties originalProps = new Properties(); //zookeeper 配置,通过zk 可以负载均衡的获取broker originalProps.put("zookeeper.connect", "192.168.66.2:2181,192.168.66.3:2181,192.168.66.4:2181"); //group 代表一个消费组 originalProps.put("group.id", "hashleaf-group"); //zk连接超时时间 originalProps.put("zookeeper.session.timeout.ms", "10000"); //zk同步时间 originalProps.put("zookeeper.sync.time.ms", "200"); //自动提交间隔时间 originalProps.put("auto.commit.interval.ms", "1000"); //消息日志自动偏移量,防止宕机后数据无法读取 originalProps.put("auto.offset.reset", "smallest"); //序列化类 originalProps.put("serializer.class", "kafka.serializer.StringEncoder"); //构建consumer connection 对象 consumer = Consumer.createJavaConsumerConnector(new ConsumerConfig(originalProps)); } public void consume(){ //指定需要订阅的topic Map<String ,Integer> topicCountMap = new HashMap<String, Integer>(); topicCountMap.put(MyProducer.HASHLEAF_KAFKA_TOPIC, new Integer(5)); //指定key的编码格式 Decoder<String> keyDecoder = new kafka.serializer.StringDecoder(new VerifiableProperties()); //指定value的编码格式 Decoder<String> valueDecoder = new kafka.serializer.StringDecoder(new VerifiableProperties()); //获取topic 和 接受到的stream 集合 Map<String, List<KafkaStream<String, String>>> map = consumer.createMessageStreams(topicCountMap, keyDecoder, valueDecoder); //根据指定的topic 获取 stream 集合 List<KafkaStream<String, String>> kafkaStreams = map.get(MyProducer.HASHLEAF_KAFKA_TOPIC); ExecutorService executor = Executors.newFixedThreadPool(4); //因为是多个 message组成 message set , 所以要对stream 进行拆解遍历 for(final KafkaStream<String, String> kafkaStream : kafkaStreams){ executor.submit(new Runnable() { @Override public void run() { //拆解每个的 stream ConsumerIterator<String, String> iterator = kafkaStream.iterator(); while (iterator.hasNext()) { //messageAndMetadata 包括了 message , topic , partition等metadata信息 MessageAndMetadata<String, String> messageAndMetadata = iterator.next(); System.out.println("message : " + messageAndMetadata.message() + " partition : " + messageAndMetadata.partition()); } } }); } } public static void main(String[] args) { new MyConsumer().consume(); } }
标签:comm 数据 XML author 序列化 ati stream on() vax
原文地址:http://www.cnblogs.com/xiaojf/p/6602724.html