一般情況下，一個客戶端指定一個叢集，但是存在一個客戶端指定多個叢集的情況，這種情況下，需要動態調整配置檔案

//配置檔案可以通過傳參或者資料庫進行讀取

package com.cslc


import org.apache.hadoop.conf.Configuration
import org.apache.hadoop.fs.Path
import scala.collection.JavaConversions._
import org.apache.spark.rdd.RDD
import org.apache.spark.sql.SparkSession


object Day01 {
  def main(args: Array[String]): Unit 
 
= {
    val sparkBuilder=SparkSession.builder
    val conf =new Configuration()
    val core=new Path("F:\\IdeaWorkspace\\lzm\\Resource\\core-site.xml")
    val hdfs=new Path("F:\\IdeaWorkspace\\lzm\\Resource\\hdfs-site.xml")
    val hive=new Path("F:\\IdeaWorkspace\\lzm\\Resource\\hive-site.xml")
    val yarn
 
=new Path("F:\\IdeaWorkspace\\lzm\\Resource\\yarn-site.xml")
    val mapred=new Path("F:\\IdeaWorkspace\\lzm\\Resource\\mapred-site.xml")
    conf.addResource(hive)
    conf.addResource(core)
    conf.addResource(hdfs)
    conf.addResource(mapred)
    conf.addResource(yarn)
    for(c<-conf.iterator()){
      sparkBuilder.config(c.getKey,c.getValue)
    }
   val spark:SparkSession
 
=sparkBuilder.master("local[2]").getOrCreate()
   spark.sparkContext.setLogLevel("error")
  val data=spark.read.parquet("hdfs://cslcdip/home/dip/lzm/sparkdata/users.parquet")
   println(data.schema)
   data.show()

  }

}