如果是spark1.6.0請新增maven：

        <dependency>
            <groupId>com.databricks</groupId>
            <artifactId>spark-csv_2.10</artifactId>
            <version>1.4.0</version>
            <scope>compile</scope>
        </dependency>

如果是spark2.0+就不用新增maven了，因為spark2.0內部集成了讀寫csv檔案。

package com.egridcloud.spark
import org.apache.spark.sql.{DataFrame, SQLContext}
import org.apache.spark.{SparkConf, SparkContext}
/**
  * Created by LHX on 2018/3/20 13:26.
  */
object SparkReadFile {
  def main(args: Array[String]): Unit = {
    val localpath="D:\\input\\word.csv"
    val outpath="D:\\output\\word2"
    val conf = new SparkConf()
    conf.setAppName("SparkReadFile")
    conf.setMaster("local")
    val sparkContext = new SparkContext(conf)
    val sqlContext = new SQLContext(sparkContext)
    //讀csv檔案
    val data: DataFrame = sqlContext.read.format("com.databricks.spark.csv")
      .option("header", "false") //在csv第一行有屬性"true"，沒有就是"false"
      .option("inferSchema", true.toString) //這是自動推斷屬性列的資料型別
      .load(localpath)
//    data.show()
    // 寫csv檔案
    data.repartition(1).write.format("com.databricks.spark.csv")
      .option("header", "false")//在csv第一行有屬性"true"，沒有就是"false"
      .option("delimiter",",")//預設以","分割
      .save(outpath)
    sparkContext.stop()
  }
}