Kafka代码API

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1. 建立工程，导入相应的 jar 包

Procuder 类

package cn.itcast.kafka;

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.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.message.MessageAndMetadata;

public class ConsumerDemo {

// 要读取的数据主题
private static final String topic = “kfc”;
// 消费者的数量
private static final Integer threads = 2;

public static void main(String[] args) {

Properties props = new Properties();
// 指定 zookeeper 的地址
props.put(“zookeeper.connect”, “storm01:2181,storm02:2181,storm03:2181”);
// 消费组的编号
props.put(“group.id”, “1111”);
// 偏移量，从哪个位置读
props.put(“auto.offset.reset”, “smallest”);

ConsumerConfig config = new ConsumerConfig(props);
ConsumerConnector consumer = Consumer.createJavaConsumerConnector(config);
HashMap<String, Integer> topicCountmap = new HashMap<String,Integer>();
topicCountmap.put(topic, threads);

// 根据 map 获取所有的主题对应的消息流
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountmap);
// 获取某个主题的消息流
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);

// 开启两个消费者进程，读取主题下的流
for (final KafkaStream<byte[], byte[]> kafkaStream : streams) {
new Thread(new Runnable() {

@Override
public void run() {
for (MessageAndMetadata<byte[], byte[]> messageAndMetadata : kafkaStream) {
System.err.println(new String(messageAndMetadata.message()));
}

}
}).start();
}

}
}

consumer– 消费者类

package cn.itcast.kafka;

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.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.message.MessageAndMetadata;

public class ConsumerDemo {

// 要读取的数据主题
private static final String topic = “kfc”;
// 消费者的数量
private static final Integer threads = 2;

public static void main(String[] args) {

Properties props = new Properties();
// 指定 zookeeper 的地址
props.put(“zookeeper.connect”, “storm01:2181,storm02:2181,storm03:2181”);
// 消费组的编号
props.put(“group.id”, “1111”);
// 偏移量，从哪个位置读
props.put(“auto.offset.reset”, “smallest”);

ConsumerConfig config = new ConsumerConfig(props);
ConsumerConnector consumer = Consumer.createJavaConsumerConnector(config);
HashMap<String, Integer> topicCountmap = new HashMap<String,Integer>();
topicCountmap.put(topic, threads);

// 根据 map 获取所有的主题对应的消息流
Map<String, List<KafkaStream<byte[], byte[]>>> consumerMap = consumer.createMessageStreams(topicCountmap);
// 获取某个主题的消息流
List<KafkaStream<byte[], byte[]>> streams = consumerMap.get(topic);

// 开启两个消费者进程，读取主题下的流
for (final KafkaStream<byte[], byte[]> kafkaStream : streams) {
new Thread(new Runnable() {

@Override
public void run() {
for (MessageAndMetadata<byte[], byte[]> messageAndMetadata : kafkaStream) {
System.err.println(new String(messageAndMetadata.message()));
}

}
}).start();
}

}
}