Automatic partition inference of Spark's data source

Source: Internet
Author: User

Create a directory/spark-study/users/gender=male/country=us/users.parquet on Hadoop (and put the file on it)



Import org.apache.spark.SparkConf;
Import Org.apache.spark.sql.DataFrame;
Import Org.apache.spark.sql.SQLContext;

public class Parquetpartitiondiscovery {
public static void Main (string[] args) {
sparkconf conf = new sparkconf ()
. Setmaster ("local")
. Setappname ("Parquetpartitiondiscovery");
Javasparkcontext sc = new Javasparkcontext (conf);
SqlContext sqlcontext = new SqlContext (SC);
DataFrame df = (). Parquet ("hdfs://spark1:9000/spark-study/users/gender=male/country=us/ Users.parquet ");
Df.printschema (); ();

Automatic partition inference of Spark's data source

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