spark 造数

import org.apache.spark.SparkConf;
import org.apache.spark.SparkException;
import org.apache.spark.api.java.JavaRDD;

import org.apache.spark.sql.RowFactory;
import  org.apache.spark.sql.SparkSession;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.sql.types.DataTypes;
import org.apache.spark.sql.types.Metadata;
import org.apache.spark.sql.types.StructField;
import org.apache.spark.sql.types.StructType;

import java.util.ArrayList;



public class demo {
    public static void main(String[] args) throws SparkException {

        SparkConf conf = new SparkConf().setAppName("JavaWordCount").setMaster("local[*]");

        JavaSparkContext jsc = new JavaSparkContext(conf);
        SparkSession spark = SparkSession
                .builder()
                .appName("Java Spark SQL basic example")
                .getOrCreate();


        java.util.List<Integer> list=new ArrayList<>();
        for (int i=0;i<10;i++){
            list.add(i);
        }

        JavaRDD<Integer> s1 =  jsc.parallelize(list);

        JavaRDD r1 = s1.map(re -> {
            
            return RowFactory.create("zhangsan", "10", "beijing");
        });
        StructType schema = new StructType(new StructField[]{
                new StructField("name", DataTypes.StringType, false, Metadata.empty()),
                new StructField("age", DataTypes.StringType, false, Metadata.empty()),
                new StructField("area",DataTypes.StringType,false,Metadata.empty())
        });


        spark.createDataFrame(r1,schema).show();

    }
}