Spark Parquet Read and write from HDFs __spark

Import org.apache.spark.SparkConf;
Import Org.apache.spark.api.java.JavaSparkContext;
Import Org.apache.spark.sql.DataFrame;
Import Org.apache.spark.sql.SQLContext;
Import Org.apache.spark.sql.SaveMode;

/**
 * @author Administrator
 * * *
 /Public
class Genericloadsave {public

	static void Main (string[) args) {
		sparkconf conf = new sparkconf () 
				. Setappname ("Genericloadsave")
				. Setmaster ("local");
		Javasparkcontext sc = new Javasparkcontext (conf);
		SqlContext sqlcontext = new SqlContext (SC);
	Parquet with table structure ...
		dataframe usersdf = Sqlcontext.read (). Load (	"Hdfs://hadoop1:9000/input/users.parquet");  format is not specified is the data formatting written to disk     defaults to parquet
		usersdf.select ("name", "Favorite_Color"). Write (). Mode ( Savemode.overwrite). Save ("Hdfs://hadoop1:9000/output/namesandfavcolors_scala");   
		
		Dataframe PDF = Sqlcontext.read (). Parquet ("Hdfs://hadoop1:9000/output/namesandfavcolors_scala");
		Pdf.show ();
	}