<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>com.sid.spark</groupId> <artifactId>spark-train</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>2.9.0</hadoop.version> <hbase.version>1.4.4</hbase.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>${scala.version}</version> </dependency> <dependency> <groupId>org.apache.kafka</groupId> <artifactId>kafka_2.11</artifactId> <version>${kafka.version}</version> </dependency> <dependency> <groupId>org.apache.hadoop</groupId> <artifactId>hadoop-client</artifactId> <version>${hadoop.version}</version> <exclusions> <exclusion> <artifactId>servlet-api</artifactId> <groupId>javax.servlet</groupId> </exclusion> </exclusions> </dependency> <!--<dependency>--> <!--<groupId>org.apache.hbase</groupId>--> <!--<artifactId>hbase-clinet</artifactId>--> <!--<version>${hbase.version}</version>--> <!--</dependency>--> <!--<dependency>--> <!--<groupId>org.apache.hbase</groupId>--> <!--<artifactId>hbase-server</artifactId>--> <!--<version>${hbase.version}</version>--> <!--</dependency>--> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-sql_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-flume_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-flume-sink_2.11</artifactId> <version>${spark.version}</version> </dependency> <dependency> <groupId>org.apache.spark</groupId> <artifactId>spark-streaming-kafka-0-8_2.11</artifactId> <version>2.2.0</version> </dependency> <dependency> <groupId>net.jpountz.lz4</groupId> <artifactId>lz4</artifactId> <version>1.3.0</version> </dependency> <dependency> <groupId>mysql</groupId> <artifactId>mysql-connector-java</artifactId> <version>5.1.31</version> </dependency> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-lang3</artifactId> <version>3.5</version> </dependency> </dependencies> <build> <sourceDirectory>src/main/scala</sourceDirectory> <!--<testSourceDirectory>src/test/scala</testSourceDirectory>--> <plugins> <plugin> <groupId>org.scala-tools</groupId> <artifactId>maven-scala-plugin</artifactId> <executions> <execution> <goals> <goal>compile</goal> <goal>testCompile</goal> </goals> </execution> </executions> <configuration> <scalaVersion>${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>
package com.zoujc.sparkstreaming import kafka.serializer.StringDecoder import org.apache.spark.SparkConf import org.apache.spark.streaming.kafka.KafkaUtils import org.apache.spark.streaming.{Seconds, StreamingContext} /** * Spark Streaming 基于 Direct 对接Kafka */ object KafkaDirect { def main(args: Array[String]): Unit = { if (args.length != 2) { System.err.println("Usage: KafkaDirect <brokers> <topics>") System.exit(1) } val Array(brokers, topics) = args val sparkConf = new SparkConf().setAppName("KafkaReceiver").setMaster("local[3]") val ssc = new StreamingContext(sparkConf, Seconds(5)) /* @param ssc StreamingContext object @param kafkaParams Kafka <a href="http://kafka.apache.org/documentation.html#configuration"> configuration parameters</a>. Requires "metadata.broker.list" or "bootstrap.servers" to be set with Kafka broker(s) (NOT zookeeper servers), specified in host1:port1,host2:port2 form. If not starting from a checkpoint, "auto.offset.reset" may be set to "largest" or "smallest" to determine where the stream starts (defaults to "largest") @param topics Names of the topics to consume @tparam K type of Kafka message key @tparam V type of Kafka message value @tparam KD type of Kafka message key decoder @tparam VD type of Kafka message value decoder @return DStream of (Kafka message key, Kafka message value) */ val topicsSet = topics.split(",").toSet val kafkaParams = Map[String, String]("metadata.broker.list" -> brokers) val messages = KafkaUtils.createDirectStream[String, String, StringDecoder, StringDecoder](ssc, kafkaParams, topicsSet) messages.print() messages.map(_._2).flatMap(_.split(" ")).map((_, 1)).reduceByKey(_ + _).print() ssc.start() ssc.awaitTermination() } }