Kafka学习笔记 --- Scala实现FlinkKafkaConsumer
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pom.xml配置项:
<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/maven-v4_0_0.xsd"> <modelVersion>4.0.0</modelVersion> <groupId>zetdata</groupId> <artifactId>FlinkKafkaConsumer</artifactId> <version>1.0-SNAPSHOT</version> <inceptionYear>2008</inceptionYear> <properties> <scala.version>2.11.7</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>${scala.version}</version> </dependency> <dependency> <groupId>junit</groupId> <artifactId>junit</artifactId> <version>4.4</version> <scope>test</scope> </dependency> <dependency> <groupId>org.specs</groupId> <artifactId>specs</artifactId> <version>1.2.5</version> <scope>test</scope> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-connector-kafka-0.9_2.10 --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-connector-kafka-0.10_2.11</artifactId> <version>1.3.0</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-core --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-core</artifactId> <version>1.3.0</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-clients_2.11 --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-clients_2.11</artifactId> <version>1.3.0</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-scala_2.11 --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-scala_2.11</artifactId> <version>1.3.0</version> </dependency> <!-- https://mvnrepository.com/artifact/org.apache.flink/flink-streaming-scala_2.11 --> <dependency> <groupId>org.apache.flink</groupId> <artifactId>flink-streaming-scala_2.11</artifactId> <version>1.3.0</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <testSourceDirectory>src/test/scala</testSourceDirectory> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> <configuration> <scalaVersion>${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>
代码利用将上述的依赖加入,然后继续编写代码:
package zetdataimport java.util.Propertiesimport org.apache.flink.streaming.api.scala.StreamExecutionEnvironmentimport org.apache.flink.streaming.connectors.kafka.FlinkKafkaConsumer010import org.apache.flink.streaming.util.serialization.SimpleStringSchemaimport org.apache.flink.api.scala._/** * Created by ryan on 17-7-14. */object FlinkKafkaCon { def main(args: Array[String]): Unit ={ val env = StreamExecutionEnvironment.getExecutionEnvironment env.enableCheckpointing(5000) val properties = new Properties() properties.setProperty("bootstrap.servers", "192.168.1.81:6667") properties.setProperty("zookeeper.connect", "192.168.1.81:2181") val sss = new SimpleStringSchema() val fkc = new FlinkKafkaConsumer010[String]("test", sss, properties) val stream = env.addSource(fkc) stream.setParallelism(4).print() env.execute("KafkaFlinkConsumer....") }}
此处使用的kafka是hdp版本,因此broker端口不是9092,是6667。
flink connect kafkas是010版本。
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