KafKa Java程式設計例項

野狼e族發表於2018-05-28
KafKa Java程式設計例項

編寫一個能傳送訊息,接收訊息的例項
(1)編寫係數配置:KafkaProperties.java

package com.imooc.spark.kafka;

/**
* Kafka常用配置檔案
*/
public class KafkaProperties {

    public static final String ZK = "140.143.236.169:2181";   //此處要和kafka配置檔案中的 advertised.host.name保持一致,要麼都是IP,要麼都是HostName

    public static final String TOPIC = "hello_topic";

    public static final String BROKER_LIST = "140.143.236.169:9092";

    public static final String GROUP_ID = "test_group1";

}
(2)編寫生產者:KafkaProducer.java

package com.imooc.spark.kafka;

import kafka.javaapi.producer.Producer;
import kafka.producer.KeyedMessage;
import kafka.producer.ProducerConfig;

import java.util.Properties;

/**
* Kafka生產者
*/
public class KafkaProducer extends Thread{

    private String topic;

    private Producer<Integer, String> producer;

    public KafkaProducer(String topic) {
        this.topic = topic;

        Properties properties = new Properties();

        properties.put("metadata.broker.list",KafkaProperties.BROKER_LIST);
        properties.put("serializer.class","kafka.serializer.StringEncoder");
        properties.put("request.required.acks","1");

        producer = new Producer<Integer, String>(new ProducerConfig(properties));
    }


    @Override
    public void run() {

        int messageNo = 1;

        while(true) {
            String message = "message_" + messageNo;
            producer.send(new KeyedMessage<Integer, String>(topic, message));
            System.out.println("Sent: " + message);

            messageNo ++ ;

            try{
                Thread.sleep(2000);
            } catch (Exception e){
                e.printStackTrace();
            }
        }

    }
}

(3)編寫消費者:KafkaConsumer.java
package com.imooc.spark.kafka;

import kafka.consumer.Consumer;
import kafka.consumer.ConsumerConfig;
import kafka.consumer.ConsumerIterator;
import kafka.consumer.KafkaStream;
import kafka.javaapi.consumer.ConsumerConnector;

import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.Properties;

/**
* Kafka消費者
*/
public class KafkaConsumer extends Thread{

    private String topic;

    public KafkaConsumer(String topic) {
        this.topic = topic;
    }


    private ConsumerConnector createConnector(){
        Properties properties = new Properties();
        properties.put("zookeeper.connect", KafkaProperties.ZK);
        properties.put("group.id",KafkaProperties.GROUP_ID);
        return Consumer.createJavaConsumerConnector(new ConsumerConfig(properties));
    }

    @Override
    public void run() {
        ConsumerConnector consumer = createConnector();

        Map<String, Integer> topicCountMap = new HashMap<String, Integer>();
        topicCountMap.put(topic, 1);
//        topicCountMap.put(topic2, 1);
//        topicCountMap.put(topic3, 1);

        // String: topic
        // List<KafkaStream<byte[], byte[]>>  對應的資料流
        Map<String, List<KafkaStream<byte[], byte[]>>> messageStream =  consumer.createMessageStreams(topicCountMap);

        KafkaStream<byte[], byte[]> stream = messageStream.get(topic).get(0);   //獲取我們每次接收到的暑假

        ConsumerIterator<byte[], byte[]> iterator = stream.iterator();


        while (iterator.hasNext()) {
            String message = new String(iterator.next().message());
            System.out.println("rec: " + message);
        }
    }
}

(4)編寫啟動例項:KafkaClientApp.java
package com.imooc.spark.kafka;

/**
* Kafka Java API測試
*/
public class KafkaClientApp {

    public static void main(String[] args) {
        new KafkaProducer(KafkaProperties.TOPIC).start();

        new KafkaConsumer(KafkaProperties.TOPIC).start();

    }
}

pom.xml
    <modelVersion>4.0.0</modelVersion>
    <groupId>com.imooc.spark</groupId>
    <artifactId>sparktrain</artifactId>
    <version>1.0</version>
    <inceptionYear>2008</inceptionYear>
    <properties>
        <scala.version>2.11.8</scala.version>
        <kafka.version>0.9.0.0</kafka.version>
        <spark.version>2.2.0</spark.version>
        <hadoop.version>2.6.0-cdh5.7.0</hadoop.version>
        <hbase.version>1.2.0-cdh5.7.0</hbase.version>
    </properties>

    <!--新增cloudera的repository-->
    <repositories>
        <repository>
            <id>cloudera</id>
        </repository>
    </repositories>

    <dependencies>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>

        <!-- Kafka 依賴-->
        <!--
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.11</artifactId>
            <version>${kafka.version}</version>
        </dependency>
        -->

        <!-- Hadoop 依賴-->
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>${hadoop.version}</version>
        </dependency>

        <!-- HBase 依賴-->
        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-client</artifactId>
            <version>${hbase.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.hbase</groupId>
            <artifactId>hbase-server</artifactId>
            <version>${hbase.version}</version>
        </dependency>

        <!-- Spark Streaming 依賴-->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>


        <!-- Spark Streaming整合Flume 依賴-->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-flume_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-flume-sink_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming-kafka-0-8_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>

        <dependency>
            <groupId>org.apache.commons</groupId>
            <artifactId>commons-lang3</artifactId>
            <version>3.5</version>
        </dependency>

        <!-- Spark SQL 依賴-->
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_2.11</artifactId>
            <version>${spark.version}</version>
        </dependency>


        <dependency>
            <groupId>com.fasterxml.jackson.module</groupId>
            <artifactId>jackson-module-scala_2.11</artifactId>
            <version>2.6.5</version>
        </dependency>

        <dependency>
            <groupId>net.jpountz.lz4</groupId>
            <artifactId>lz4</artifactId>
            <version>1.3.0</version>
        </dependency>

        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.38</version>
        </dependency>

        <dependency>
            <groupId>org.apache.flume.flume-ng-clients</groupId>
            <artifactId>flume-ng-log4jappender</artifactId>
            <version>1.6.0</version>
        </dependency>

    </dependencies>

    <build>
        <sourceDirectory>src/main/scala</sourceDirectory>
        <testSourceDirectory>src/test/scala</testSourceDirectory>
        <plugins>
            <plugin>
                <groupId>org.scala-tools</groupId>
                <artifactId>maven-scala-plugin</artifactId>
                <executions>
                    <execution>
                        <goals>
                            <goal>compile</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
                <configuration>
                    <scalaVersion>${scala.version}</scalaVersion>
                    <args>
                        <arg>-target:jvm-1.5</arg>
                    </args>
                </configuration>
            </plugin>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-eclipse-plugin</artifactId>
                <configuration>
                    <downloadSources>true</downloadSources>
                    <buildcommands>
                        <buildcommand>ch.epfl.lamp.sdt.core.scalabuilder</buildcommand>
                    </buildcommands>
                    <additionalProjectnatures>
                        <projectnature>ch.epfl.lamp.sdt.core.scalanature</projectnature>
                    </additionalProjectnatures>
                    <classpathContainers>
                        <classpathContainer>org.eclipse.jdt.launching.JRE_CONTAINER</classpathContainer>
                        <classpathContainer>ch.epfl.lamp.sdt.launching.SCALA_CONTAINER</classpathContainer>
                    </classpathContainers>
                </configuration>
            </plugin>
        </plugins>
    </build>
    <reporting>
        <plugins>
            <plugin>
                <groupId>org.scala-tools</groupId>
                <artifactId>maven-scala-plugin</artifactId>
                <configuration>
                    <scalaVersion>${scala.version}</scalaVersion>
                </configuration>
            </plugin>
        </plugins>
    </reporting>
</project>



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