Combining data from two tables in two databases postgresql, JdbcRDD.

[akshayhazari <ak...@gmail.com>]

I want to be able to perform a query on two tables in different databases. I
want to know whether it can be done. I've heard about union of two RDD's but
here I want to connect to something like different partitions of a table.

Any help is appreciated


import java.io.Serializable;
//import org.junit.*;
//import static org.junit.Assert.*;
import scala.*;
import scala.runtime.AbstractFunction0;
import scala.runtime.AbstractFunction1;
import scala.runtime.*;
import scala.collection.mutable.LinkedHashMap;
//import static scala.collection.Map.Projection;
import org.apache.spark.api.java.*;
import org.apache.spark.api.java.function.*;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.rdd.*;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;
import org.apache.spark.sql.api.java.JavaSQLContext;
import org.apache.spark.sql.api.java.JavaSchemaRDD;
import org.apache.spark.sql.api.java.Row;
import org.apache.spark.sql.api.java.DataType;
import org.apache.spark.sql.api.java.StructType;
import org.apache.spark.sql.api.java.StructField;
import org.apache.spark.sql.api.java.Row;
import org.apache.spark.SparkConf;
import org.apache.spark.SparkContext;
import java.sql.*;
import java.util.*;
import com.mysql.jdbc.Driver;
import com.mysql.jdbc.*;
import java.io.*;
public class Spark_Mysql {
 
    static class Z extends AbstractFunction0<java.sql.Connection> implements
Serializable
    {
    	java.sql.Connection con;
    	public java.sql.Connection apply()
    	{
	    
	    try {
	
con=DriverManager.getConnection("jdbc:mysql://localhost:3306/azkaban?user=azkaban&password=password");
	    }
	    catch(Exception e)
		{
		    e.printStackTrace();
		}
	    return con;
    	}
	
    }
    static public class Z1 extends AbstractFunction1<ResultSet,Integer>
implements Serializable
    {
	int ret;
	public Integer apply(ResultSet i) {
	    
	    try{
		ret=i.getInt(1);
	    }
	    catch(Exception e)
		{e.printStackTrace();}
	    return ret;
	}
    }
    public static void main(String[] args) throws Exception {
	String arr[]=new String[1];

arr[0]="/home/hduser/Documents/Credentials/Newest_Credentials_AX/spark-1.1.0-bin-hadoop1/lib/mysql-connector-java-5.1.33-bin.jar";

	JavaSparkContext ctx = new JavaSparkContext(new
SparkConf().setAppName("JavaSparkSQL").setJars(arr));
	SparkContext sctx = new SparkContext(new
SparkConf().setAppName("JavaSparkSQL").setJars(arr));
	JavaSQLContext sqlCtx = new JavaSQLContext(ctx);

	  try 
	    {
		Class.forName("com.mysql.jdbc.Driver");
	    }
	catch(Exception ex) 
	    {
		ex.printStackTrace();
		System.exit(1);
	    }
	  JdbcRDD rdd=new JdbcRDD(sctx,new Z(),"SELECT * FROM spark WHERE ? <= id
AND id <= ?",0L, 1000L, 10,new
Z1(),scala.reflect.ClassTag$.MODULE$.AnyRef());
		  
	  rdd.saveAsTextFile("hdfs://127.0.0.1:9000/user/hduser/mysqlrdd"); 
	  rdd.saveAsTextFile("/home/hduser/mysqlrdd"); 
	  
    }
}



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