intellij-idea打包Scala代码在spark中运行

、创建好Maven项目之后（记得添加Scala框架到该项目），修改pom.xml文件，添加如下内容：

<properties>
        <spark.version>2.1.</spark.version>
        <scala.version>2.11</scala.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-streaming_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-sql_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-hive_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-mllib_${scala.version}</artifactId>
            <version>${spark.version}</version>
        </dependency>

    </dependencies>

    <build>
        <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>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.6.</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                </configuration>
            </plugin>

            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-surefire-plugin</artifactId>
                <version>2.19</version>
                <configuration>
                    <skip>true</skip>
                </configuration>
            </plugin>

        </plugins>
    </build>

其中保存之后，需要点击下面的import change，这样相当于是下载jar包

二、编写一个Scala程序，统计单词的个数

import org.apache.spark.SparkConf
import org.apache.spark.SparkContext

object WordCount {
  def main(args: Array[String]) {
    if (args.length == ) {
      System.err.println("Usage: spark.example.WordCount <input> <output>")
      System.exit()
    }

    val input_path = args().toString
    val output_path = args().toString

    val conf = new SparkConf().setAppName("WordCount")
    conf.set("spark.serializer", "org.apache.spark.serializer.KryoSerializer")

    val sc = new SparkContext(conf)
    val inputFile = sc.textFile(input_path)
    val countResult = inputFile.flatMap(line => line.split(" "))
    .map(word => (word, ))
    .reduceByKey(_ + _)
    .map(x => x._1 + "\t" + x._2)
    .saveAsTextFile(output_path)
  }
}

三、打包

file->Porject Structure->Artifacts->绿色的加号->JAR->from modules...

然后填写定义的类名，选择copy to..选项（打包这一个类）

点击ok之后，然后build->build Artifacts->build，等待build完成。然后可以在项目的这个目录中找到刚刚打包的这个jar包

四、运行在spark集群上面

1. 把jar包放到能访问spark集群的机器上面

2. 运行

/usr/local/spark/bin/spark-submit --class WordCount --master spark://master:7077 /data/wangzai/package/WordCount.jar \
hdfs://master:9000/spark/test.data hdfs://master:9000/spark_output/spark_wordcount \
--executor-memory 1G \
--executor-cores 1 \
--num-executors 10

3. 结果