kafka生产者和消费者的javaAPI的示例代码

写了个kafka的java demo顺便记录下，仅供参考

1.创建

目录如下：

2.POM文件：

 <Project XMLNS =“ http://maven.apache.org/pom/4.0.0” xmlns：xsi =“ http：//www.org/2001/xmlschema-chema-ingschema-ingschema-ingstance” http://maven.apache.org/xsd/maven-4.0.0.0.0.0.xsd“> <modelversion> 4.0.0 </modelversion> <groupId> kafka-maven> kafka-maven </groupId> <ARTIFACTID> <ARTIFACTID> <ARTIFACTID> kafka-kafka-maven-maven-maven </artifactid </atrifactid </artifactid> 0.0.0.1-snapshotency> 0.0.1-snapshotency> <groupId> org.apache.kafka </groupId> <Artifactid> kafka_2.11 </artifactid> <版本> <版本> 0.10.1.1 </distry> </dependency> <glativeency> <groudency> <groupID> org.apache.hadoop.hadoop </groupid> <groupId> org.apache.hadoop </groupId> <artifactid> hadifactid> hadoop-hdfs </artifactid> <版本> <版本> 2.2.0 </distrifency> </dependency> <dependency> <groupId> org.apache.hadoop.hadoop </groupId> <ARTIFACTID> <ARTIFACTID> <ARTIFACTID> <groupId> org.apache.hbase </groupId> <ARTIFACTID> hbase-client </artifactid> <版本> <版本> 1.0.3 </version> </deverency> <dependency> <groudency> <groupId> org.apache.hbase.hbase </groupid> <ARTIFACTID> <ARTIFACTID> <groupId> org.apache.hadoop </groupId> <ARTIFACTID> hadoop-hdfs </artifactid> <版本> <版本> 2.2.0 </distrifency> </dependency> <dependency> <groupId> <groupId> jdk.tools </groupId> <ARTIFACTID> <ARTIFACTID> jdk.took> jdk.tools> <systempath> $ {java_home}/lib/tools.jar </systempath> </deptionency> <dependency> <groudency> <groudId> org.apache.httpcomponents </groupId> <ARTIFACTID> <ARTIFACTID> <ARTTTPCLCCLCCLIENT </artifactid> httpclient </artifactid> </artifactid> <groupId> org.apache.maven.plugins </groupId> <Artifactid> maven-compiler-plugin </artifactid> <sufficuration> <source> <source> 1.7 </source> </source> </source> </source> </target> 1.7 </target> 1.7 </target>

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.producercord; import org.apache.kafka.clients.producer.recordmetadata; import org.slf4j.logger; import org.slf4j.loggerfactory; static {properties = new Properties（）;字符串路径= kafkaproducer.class.getResource（“/”）。getfile（）。toString（） +“ kafka.properties”;尝试{fileInputStream fis = new FileInputStream（new File（path））; properties.load（FIS）; } catch（异常E）{e.printstacktrace（）; }} / ** * * * * * @param主题 * @param键 * @param值 * / public void sendmsg（字符串主题，byte [] key，byte [] value）{//实例化cafkaproducer <byte []，byte []，byte []，byte []，byte [] //消息封装praforErcord <byte []，byte []> pr = new ProducerErcord <byte []，byte []>（主题，键，value）; //发送数据kp.Send（pr，new callback（）{// @ @ @override public void oncompletion（recordMetAdata gecomeData，异常）{if（null！= exception）{system.out.out.ut.println（println） }}}）; //关闭产生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.verifable properties;公共类kafkaconsume {私人最终静态字符串主题=“ lijietest”;私有静态属性属性； static {properties = new Properties（）;字符串路径= kafkaconsume.class.getResource（“/”）。getfile（）。toString（） +“ kafka.properties”;尝试{fileInputStream fis = new FileInputStream（new File（path））; properties.load（FIS）; } catch（异常E）{e.printstacktrace（）; }} / ** * * * * * @throws异常 * / public void getmsg（）抛出异常{complocererConfig config = new comploceerConfig（properties）; computerConnector consumer = kafka.consumer.consumer.createjavaconsumerconnector（config）; MAP <String，Integer> topicCountMap = new Hashmap <String，Integer>（）; topiccountmap.put（主题，新整数（1））; StringDecoder keyDecoder = new StringDecoder（new Verifiable Properties（））; StringDecoder valitueDecoder = new StringDecoder（new Verifiable Properties（））;映射<字符串，列表<kafkastream <string，string >>> consumerMap = consumer .CreateMessAgeStreams（topicCountMap，keyDecoder，dualudeCoder）; kafkastream <string，string> strim = computermap.get（topic）.get（0）; consumpereriter <string，string> it = stream.iterator（）; while（it.hasnext（））{string json = it.next（）。message（）;用户用户=（用户）jsonutils.jsontoobj（json，user.class）; System.out.println（用户）; }}}}

5.kafka.properties文件

## ProductBootstrap.Servers = 192.168.80.123：9092Producer.Type = Syncrequest.required.acks = 1Serialializer.Class = kafka.serialializer.defaultenco derkey.serializer = org.apache.kafka.common.serialization.bytearrayserializervalue.serializer = org.apache.kafka.common.serialization.byt earrayserializerbak.partitioner.class = kafka.producer.defaultpartitionerbak.key.serializer = org.apache.kafka.common.serialization.stri ngserializerbak.value.serializer = org.apache.kafka.common.serialization.stringserializer ## inceumezookeeper.connect = 192.168.80.80.123：2181 group.id = lijiegroup zookeeper.session.timeout.ms = 4000 zookeeper.sync.time.ms = 200 auto.commit.commit.interval.ms = 1000 auto.offset.reset.reset.reset.reset.reset = small serializer.class.class = kafka = kafka.serializer.serializer.stringencoderer.stringencoderer.stringencoderer.stringencoderer.stringencoderer.stringencoderer.stringencoderer

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持武林网。，也希望大家多多支持武林网。