Flink1.8消費Kafka的數據（Demo）——01

本demo爲Flink 1.8消費kafka的demo 。不多說直接上代碼。
1、POM.XML

<?xml version="1.0" encoding="UTF-8"?>
<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>com.demo.bigdata.flinkScala</groupId>
    <artifactId>flinkScala</artifactId>
    <version>1.0-SNAPSHOT</version>

    <properties>
        <scala.version>2.11.8</scala.version>
    </properties>

    <repositories>
        <repository>
            <id>scala-tools.org</id>
            <name>Scala-Tools Maven2 Repository</name>
            <url>http://scala-tools.org/repo-releases</url>
        </repository>
    </repositories>

    <pluginRepositories>
        <pluginRepository>
            <id>scala-tools.org</id>
            <name>Scala-Tools Maven2 Repository</name>
            <url>http://scala-tools.org/repo-releases</url>
        </pluginRepository>
    </pluginRepositories>

    <dependencies>
        <dependency>
            <groupId>org.scala-lang</groupId>
            <artifactId>scala-library</artifactId>
            <version>${scala.version}</version>
        </dependency>
        <dependency>
            <groupId>junit</groupId>
            <artifactId>junit</artifactId>
            <version>4.4</version>
            <scope>test</scope>
        </dependency>
        <dependency>
            <groupId>org.specs</groupId>
            <artifactId>specs</artifactId>
            <version>1.2.5</version>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-core</artifactId>
            <version>1.8.0</version>
            <scope>compile</scope>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-connector-kafka-0.10_2.11 -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-connector-kafka-0.10_2.11</artifactId>
            <version>1.8.0</version>
            <scope> compile</scope>
        </dependency>

        <!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka_2.11 -->
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka_2.11</artifactId>
            <version>0.10.2.0</version>
            <scope>compile</scope>
        </dependency>

        <!-- flink-streaming的jar包，2.11爲scala版本號 -->
        <dependency>
            <groupId>org.apache.flink</groupId>
            <artifactId>flink-streaming-java_2.11</artifactId>
            <version>1.8.0</version>
            <scope> compile</scope>
        </dependency>

    </dependencies>

    <build>
        <sourceDirectory>src/main/scala</sourceDirectory>
        <testSourceDirectory>src/test/scala</testSourceDirectory>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </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>

</project>

2、FlinkToKafka Demo

import java.util.Properties
import org.apache.flink.api.common.serialization.SimpleStringSchema
import org.apache.flink.streaming.api.datastream.DataStreamSource
import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment
import org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010


object FlinkToKafka {

  def main(args: Array[String]): Unit = {
    /** ---------------------------------------------------------------------------------------------------------------
      * kafka info
      */
    val zkCluster = "bigdata1:2181,bigdata2:2181,bigdata3:2181"
    val kafkaCluster = "bigdata1:9092,bigdata2:9092,bigdata3:9092"
    val topic = "Ec-demo"

    /** ---------------------------------------------------------------------------------------------------------------
      * flink env
      */
    val env: StreamExecutionEnvironment = StreamExecutionEnvironment.getExecutionEnvironment


    /** ---------------------------------------------------------------------------------------------------------------
      * create kafka stream
      */
    val props = new Properties()
    props.setProperty("bootstrap.servers", kafkaCluster)
    props.setProperty("zookeeper.connect", zkCluster)
    props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
    props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer")
    props.setProperty("group.id", "flink-test")

    /* ---------------------------------------------------------------------------------------------------------------
     * 構造流圖，從Kafka讀取數據並換行打印
     */
    val messageStream: DataStreamSource[String] = env.addSource(new FlinkKafkaConsumer010(
      topic, new SimpleStringSchema, props))

    messageStream.print()
    // 調用execute觸發執行
    env.execute()

  }


}

3、測試

kafka-console-producer.sh --broker-list ip1:9092,ip3:9092,ip2:9092 --topic Ec-demo