Intellij IDEA连接Spark集群

1. 首先安装Scala插件，File->Settings->Plugins，搜索出Scla插件，点击Install安装；

2. File->New Project->maven，新建一个Maven项目，填写GroupId和ArtifactId；

3. 编辑pom.xml文件，添加项目所需要的依赖：

    <properties>
        <scala.version>2.10.5scala.version>
        <hadoop.version>2.6.5hadoop.version>
    properties>

    <repositories>
        <repository>
            <id>scala-tools.orgid>
            <name>Scala-Tools Maven2 Repositoryname>
            <url>http://scala-tools.org/repo-releasesurl>
        repository>
    repositories>

    <dependencies>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-core_2.10artifactId>
            <version>1.6.0version>
        dependency>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-sql_2.10artifactId>
            <version>1.6.0version>
        dependency>
        <dependency>
            <groupId>org.apache.sparkgroupId>
            <artifactId>spark-streaming_2.10artifactId>
            <version>1.6.0version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-clientartifactId>
            <version>${hadoop.version}version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-commonartifactId>
            <version>${hadoop.version}version>
        dependency>
        <dependency>
            <groupId>org.apache.hadoopgroupId>
            <artifactId>hadoop-hdfsartifactId>
            <version>${hadoop.version}version>
        dependency>

    dependencies>

4. File->Project Structure->Libraries，选择和Spark运行环境一致的Scala版本：

5. File->Project Structure->Modules，在src/main/下面增加一个scala文件夹，并且设置成source文件夹；

6. 在scala文件夹下面新建一个scala文件SparkPi：

import scala.math.random
import org.apache.spark._

object SparkPi {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("Spark Pi").setMaster("spark://master:7077").setJars(Seq("E:\\Intellij\\Projects\\SparkExample\\SparkExample.jar"))
    val spark = new SparkContext(conf)
    val slices = if (args.length > 0) args(0).toInt else 2
    println("Time:" + spark.startTime)
    val n = math.min(1000L * slices, Int.MaxValue).toInt // avoid overflow
    val count = spark.parallelize(1 until n, slices).map { i =>
      val x = random * 2 - 1
      val y = random * 2 - 1
      if (x*x + y*y < 1) 1 else 0
    }.reduce(_ + _)
    println("Pi is roughly " + 4.0 * count / n)
    spark.stop()
  }
}

7. File->Project Structure->Artifacts，新建一个Jar->From modules with dependencies...，选择Main Class：

设置Output directory，删掉不必要的jar：

7. Build->Build Artifacts...，生成jar，然后再运行，成功！