kafka生產(chǎn)者和消費(fèi)者的javaAPI怎么用

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寫(xiě)了個(gè)kafka的java demo 順便記錄下，僅供參考

1.創(chuàng)建maven項(xiàng)目

目錄如下：

2.pom文件：

<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>Kafka-Maven</groupId>
  <artifactId>Kafka-Maven</artifactId>
  <version>0.0.1-SNAPSHOT</version>
  <dependencies>
    <dependency>
      <groupId>org.apache.kafka</groupId>
      <artifactId>kafka_2.11</artifactId>
      <version>0.10.1.1</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-common</artifactId>
      <version>2.2.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-hdfs</artifactId>
      <version>2.2.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-client</artifactId>
      <version>2.2.0</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hbase</groupId>
      <artifactId>hbase-client</artifactId>
      <version>1.0.3</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hbase</groupId>
      <artifactId>hbase-server</artifactId>
      <version>1.0.3</version>
    </dependency>
    <dependency>
      <groupId>org.apache.hadoop</groupId>
      <artifactId>hadoop-hdfs</artifactId>
      <version>2.2.0</version>
    </dependency>
    <dependency>
      <groupId>jdk.tools</groupId>
      <artifactId>jdk.tools</artifactId>
      <version>1.7</version>
      <scope>system</scope>
      <systemPath>${JAVA_HOME}/lib/tools.jar</systemPath>
    </dependency>
    <dependency>
      <groupId>org.apache.httpcomponents</groupId>
      <artifactId>httpclient</artifactId>
      <version>4.3.6</version>
    </dependency>
  </dependencies>
  <build>
    <plugins>
      <plugin>
        <groupId>org.apache.maven.plugins</groupId>
        <artifactId>maven-compiler-plugin</artifactId>
        <configuration>
          <source>1.7</source>
          <target>1.7</target>
        </configuration>
      </plugin>
    </plugins>
  </build>
</project>

3.kafka生產(chǎn)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();
    }
  }

  /**
   * 發(fā)送消息
   * 
   * @param topic
   * @param key
   * @param value
   */
  public void sendMsg(String topic, byte[] key, byte[] value) {

    // 實(shí)例化produce
    KafkaProducer<byte[], byte[]> kp = new KafkaProducer<byte[], byte[]>(
        properties);

    // 消息封裝
    ProducerRecord<byte[], byte[]> pr = new ProducerRecord<byte[], byte[]>(
        topic, key, value);

    // 發(fā)送數(shù)據(jù)
    kp.send(pr, new Callback() {
      // 回調(diào)函數(shù)
      @Override
      public void onCompletion(RecordMetadata metadata,
          Exception exception) {
        if (null != exception) {
          System.out.println("記錄的offset在:" + metadata.offset());
          System.out.println(exception.getMessage() + exception);
        }
      }
    });

    // 關(guān)閉produce
    kp.close();
  }
}

4.kafka消費(fèi)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();
    }
  }

  /**
   * 獲取消息
   * 
   * @throws Exception
   */
  public void getMsg() throws Exception {
    ConsumerConfig config = new ConsumerConfig(properties);

    ConsumerConnector consumer = kafka.consumer.Consumer
        .createJavaConsumerConnector(config);

    Map<String, Integer> topicCountMap = new HashMap<String, Integer>();

    topicCountMap.put(TOPIC, new Integer(1));

    StringDecoder keyDecoder = new StringDecoder(new VerifiableProperties());

    StringDecoder valueDecoder = new StringDecoder(
        new VerifiableProperties());

    Map<String, List<KafkaStream<String, String>>> consumerMap = consumer
        .createMessageStreams(topicCountMap, keyDecoder, valueDecoder);

    KafkaStream<String, String> stream = consumerMap.get(TOPIC).get(0);

    ConsumerIterator<String, String> 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生產(chǎn)者和消費(fèi)者的javaAPI怎么用”這篇文章的所有內(nèi)容，感謝各位的閱讀！相信大家都有了一定的了解，希望分享的內(nèi)容對(duì)大家有所幫助，如果還想學(xué)習(xí)更多知識(shí)，歡迎關(guān)注億速云行業(yè)資訊頻道！