小编给大家分享一下kafka生产者和消费者的javaAPI怎么用，相信大部分人都还不怎么了解，因此分享这篇文章给大家参考一下，希望大家阅读完这篇文章后大有收获，下面让我们一起去了解一下吧！
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写了个kafka的java demo 顺便记录下，仅供参考
1.创建maven项目
目录如下：
2.pom文件：
4.0.0
Kafka-Maven
Kafka-Maven
0.0.1-SNAPSHOT
org.apache.kafka
kafka_2.11
0.10.1.1
org.apache.hadoop
hadoop-common
2.2.0
org.apache.hadoop
hadoop-hdfs
2.2.0
org.apache.hadoop
hadoop-client
2.2.0
org.apache.hbase
hbase-client
1.0.3
org.apache.hbase
hbase-server
1.0.3
org.apache.hadoop
hadoop-hdfs
2.2.0
jdk.tools
jdk.tools
1.7
system
${JAVA_HOME}/lib/tools.jar
org.apache.httpcomponents
httpclient
4.3.6
org.apache.maven.plugins
maven-compiler-plugin
1.7
1.7
3.kafka生产者KafkaProduce:
package com.lijie.producer;
import java.io.File;
import java.io.FileInputStream;
import java.util.Properties;
import org.apache.kafka.clients.producer.Callback;
import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
public class KafkaProduce {
private static Properties properties;
static {
properties = new Properties();
String path = KafkaProducer.class.getResource("/").getFile().toString()
+ "kafka.properties";
try {
FileInputStream fis = new FileInputStream(new File(path));
properties.load(fis);
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 发送消息
*
* @param topic
* @param key
* @param value
*/
public void sendMsg(String topic, byte[] key, byte[] value) {
// 实例化produce
KafkaProducer kp = new KafkaProducer(
properties);
// 消息封装
ProducerRecord pr = new ProducerRecord(
topic, key, value);
// 发送数据
kp.send(pr, new Callback() {
// 回调函数
@Override
public void onCompletion(RecordMetadata metadata,
Exception exception) {
if (null != exception) {
System.out.println("记录的offset在:" + metadata.offset());
System.out.println(exception.getMessage() + exception);
}
}
});
// 关闭produce
kp.close();
}
}4.kafka消费者KafkaConsume：
package com.lijie.consumer;
import java.io.File;
import java.io.FileInputStream;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;
import org.apache.htrace.fasterxml.jackson.databind.ObjectMapper;
import com.lijie.pojo.User;
import com.lijie.utils.JsonUtils;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;
import kafka.serializer.StringDecoder;
import kafka.utils.VerifiableProperties;
public class KafkaConsume {
private final static String TOPIC = "lijietest";
private static Properties properties;
static {
properties = new Properties();
String path = KafkaConsume.class.getResource("/").getFile().toString()
+ "kafka.properties";
try {
FileInputStream fis = new FileInputStream(new File(path));
properties.load(fis);
} catch (Exception e) {
e.printStackTrace();
}
}
/**
* 获取消息
*
* @throws Exception
*/
public void getMsg() throws Exception {
ConsumerConfig config = new ConsumerConfig(properties);
ConsumerConnector consumer = kafka.consumer.Consumer
.createJavaConsumerConnector(config);
Map topicCountMap = new HashMap();
topicCountMap.put(TOPIC, new Integer(1));
StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());
StringDecoder valueDecoder = new StringDecoder(
new VerifiableProperties());
Map>> consumerMap = consumer
.createMessageStreams(topicCountMap, keyDecoder, valueDecoder);
KafkaStream stream = consumerMap.get(TOPIC).get(0);
ConsumerIterator it = stream.iterator();
while (it.hasNext()) {
String json = it.next().message();
User user = (User) JsonUtils.JsonToObj(json, User.class);
System.out.println(user);
}
}
}5.kafka.properties文件
##produce
bootstrap.servers=192.168.80.123:9092
producer.type=sync
request.required.acks=1
serializer.class=kafka.serializer.DefaultEncoder
key.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
value.serializer=org.apache.kafka.common.serialization.ByteArraySerializer
bak.partitioner.class=kafka.producer.DefaultPartitioner
bak.key.serializer=org.apache.kafka.common.serialization.StringSerializer
bak.value.serializer=org.apache.kafka.common.serialization.StringSerializer
##consume
zookeeper.connect=192.168.80.123:2181
group.id=lijiegroup
zookeeper.session.timeout.ms=4000
zookeeper.sync.time.ms=200
auto.commit.interval.ms=1000
auto.offset.reset=smallest
serializer.class=kafka.serializer.StringEncoder
以上是“kafka生产者和消费者的javaAPI怎么用”这篇文章的所有内容，感谢各位的阅读！相信大家都有了一定的了解，希望分享的内容对大家有所帮助，如果还想学习更多知识，欢迎关注创新互联行业资讯频道！
分享名称：kafka生产者和消费者的javaAPI怎么用
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