1、下载Eclipse
2、配置本地Maven到Eclipse中
1)、配置Maven的安装目录到Eclipse上
在这一步中,我们要配置本地Maven到Eclipse中
步骤:window–>preferences—>maven—>Installations—>add
2)、配置Maven的settings.xml到Eclipse上
步骤:window–>preferences—>maven—>User Settings
3、步骤:window–>preferences—>maven—>Archetype http://repo1.maven.org/maven2/archetype-catalog.xml(右键另存为)
4、创建一个scala的maven项目
5、修改jdk为1.8,scala为2.11.11
6、修改pom.xml
<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>dblab</groupId>
<artifactId>WordCount</artifactId>
<version>0.0.1-SNAPSHOT</version>
<inceptionYear>2008</inceptionYear>
<properties>
<scala.version>2.11.11</scala.version>
<spark.version>2.3.3</spark.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://download.eclipse.org/releases/indigo/</url>
</pluginRepository>
</pluginRepositories>
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
</dependencies>
<build>
<sourceDirectory>src</sourceDirectory>
<plugins>
<plugin>
<artifactId>maven-compiler-plugin</artifactId>
<version>3.5.1</version>
<configuration>
<source>1.8</source>
<target>1.8</target>
</configuration>
</plugin>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.3.1</version>
</plugin>
</plugins>
</build>
</project>
(2)如果第一套无法在Eclipse里运行代码,请使用第二套(运行代码时打开注释)
<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>dblab</groupId>
<artifactId>WordCount</artifactId>
<version>0.0.1-SNAPSHOT</version>
<inceptionYear>2008</inceptionYear>
<properties>
<scala.version>2.11.11</scala.version>
<spark.version>2.3.3</spark.version>
</properties>
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>${spark.version}</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>
<version>2.15.0</version>
<executions>
<execution>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
<configuration>
<args>
<arg>-dependencyfile</arg>
<arg>${project.build.directory}/.scala_dependencies</arg>
</args>
</configuration>
</execution>
</executions>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>2.6</version>
<configuration>
<useFile>false</useFile>
<disableXmlReport>true</disableXmlReport>
<includes>
<include>**/*Test.*</include>
<include>**/*Suite.*</include>
</includes>
</configuration>
</plugin>
</plugins>
</build>
-->
</project>
7、清空项目,新建WordCount.scala
package huixing.wordcount
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
object WordCount {
def main(args: Array[String]) {
val inputFile = "F:\\sparkdemo.txt"
val conf = new SparkConf().setAppName("WordCount").setMaster("local")
val sc = new SparkContext(conf)
val textFile = sc.textFile(inputFile)
val wordCount = textFile.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey((a, b) => a + b)
wordCount.foreach(println)
}
}
8、运行程序测试:
9、导成jar包:
Run as->maven install
10、运行jar包:
条件:1)、配置环境变量:
2)、解决:
Failed to locate the winutils binary in the hadoop binary path java.io.IOException: Could not locate executablenull\bin\winutils.exe in the Hadoop binaries.
下载hadoop-common-2.2.0-bin-master.zip将bin目录下文件解压到$HADOOP_HOME\bin
11、windows shell
1)切到spark目录f: cd spark-2.3.3-bin-hadoop2.7
2)bin\spark-submit –class huixing.wordcount.WordCount D:\maven\mvnRespo\huixing\wordcount\0.0.1-SNAPSHOT\wordcount-0.0.1-SNAPSHOT.jar
注:
解决办法 : 删除文件即可。.metadata/.plugins/org.eclipse.e4.workbench/workbench.xmi
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