Spark2.0 Java实现将Hive运算结果保存到数据库

package com.gm.hive.SparkHive;
import org.apache.spark.sql.Dataset;
import org.apache.spark.sql.Row;
import org.apache.spark.sql.SaveMode;
import org.apache.spark.sql.SparkSession;
import java.util.Properties;
/**
 * Spark sql获取Hive数据
 *
 */
public class App {
	public static void main(String[] args) {
		SparkSession spark = SparkSession.builder().master("local[2]")
				.appName("SparkHive")
				.config("spark.sql.warehouse.dir", "/user/hive/warehouse/").enableHiveSupport()
				.getOrCreate();
		//spark.sql.warehouse.dir为hive的hive.metastore.warehouse.dir路径
		spark.sql("show databases").show();
		spark.sql("show tables").show();
		spark.sql("use db_hive_edu");
		Dataset<Row> data = spark
				.sql("select hc_storetypeid as typeid,count(hc_storetypeid) as kczs from db_hive_edu.hc_casewoodlist where hc_wpstate=2 and hc_storetypeid !='null' group by hc_storetypeid order by hc_storetypeid");
		data.show();
		//数据库内容
		String url = "jdbc:postgresql://192.168.174.200:5432/postgres?charSet=utf-8";
		Properties connectionProperties = new Properties();
		connectionProperties.put("user","postgres");
		connectionProperties.put("password","postgres");
		connectionProperties.put("driver","org.postgresql.Driver");
		//将数据通过覆盖的形式保存在数据表中
		data.write().mode(SaveMode.Overwrite).jdbc(url, "kczyqktj", connectionProperties);
	}
}