创建SparkContext对象的时候需要传递SparkConf对象,SparkConf至少需要包含spark.master和spark.app.name这两个参数,不然的话程序不能正常运行
object WordCount { def main(args: Array[String]) { val conf = new SparkConf();
// 设置应用的名称
conf.setAppName("WC")
// 设置master, local代表本地模式,可以直接在IDE中运行,也可以指定local[k],local[*]
conf.setMaster("local")
// spark集群模式,需要打成jar包,提交到spark集群运行
// conf.setMaster("spark://m1:7077") // 设置executor可以使用的内存大小
conf.set("spark.executor.memory", "512m") val sc = new SparkContext(conf) sc.textFile("hdfs://m1:9000/words.txt").flatMap(_.split(" ")).map((_, 1))
.reduceByKey(_+_).saveAsTextFile("hdfs://m1:9000/wcOutPut/")
sc.stop()
} }
maven pom.xml如下
<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>wordcount</groupId>
<artifactId>wordcount</artifactId>
<version>1.0-SNAPSHOT</version>
<inceptionYear>2008</inceptionYear>
<!-- 定义属性 --> <properties>
<maven.compiler.source>1.7</maven.compiler.source>
<maven.compiler.target>1.7</maven.compiler.target>
<encoding>UTF-8</encoding>
<scala.version>2.10.6</scala.version>
<scala.compat.version>2.10</scala.compat.version>
</properties> <!-- 引用依赖 -->
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency> <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.10</artifactId>
<version>1.6.3</version>
</dependency> <dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.10</artifactId>
<version>1.6.3</version>
</dependency> <dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-client</artifactId>
<version>2.6.5</version>
</dependency>
</dependencies> <!-- 构建 -->
<build>
<sourceDirectory>src/main/scala</sourceDirectory>
<testSourceDirectory>src/test/scala</testSourceDirectory>
<plugins>
<!-- maven管理scala插件-->
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.2.0</version>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
<configuration>
<args>
<arg>-make:transitive</arg>
<arg>-dependencyfile</arg>
<arg>${project.build.directory}/.scala_dependencies</arg>
</args>
</configuration>
</execution>
</executions>
</plugin>
<!-- 在maven构建生命周期的test phase执行一个应用的单元测试 -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.18.1</version>
<configuration>
<useFile>false</useFile>
<disableXmlReport>true</disableXmlReport>
<includes>
<include>**/*Test.*</include>
<include>**/*Suite.*</include>
</includes>
</configuration>
</plugin> <!-- 使用maven插件对java工程进行打包 -->
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-shade-plugin</artifactId>
<version>2.3</version>
<executions>
<execution>
<phase>package</phase>
<goals>
<goal>shade</goal>
</goals>
<configuration>
<filters>
<filter>
<artifact>*:*</artifact>
<excludes>
<exclude>META-INF/*.SF</exclude>
<exclude>META-INF/*.DSA</exclude>
<exclude>META-INF/*.RSA</exclude>
</excludes>
</filter>
</filters>
<transformers>
<transformer
implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer">
<mainClass>cn.itcast.spark.WordCount</mainClass>
</transformer>
</transformers>
</configuration>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
打包提交spark集群运行
bin/spark-submit \
--class wordcount.WordCount \
--master spark://m1:7077 \
--executor-memory 512M \
--total-executor-cores 2 \
/home/hadoop/wordcount-1.0-SNAPSHOT.jar
本地运行如果hdfs权限有问题,则可以按如下配置