Monday, 20 October 2014

Impala JDBC Connection

Impala JDBC Connection

Cloudera Impala is an open source Massively Parallel Processing (MPP) query engine that runs natively on Apache Hadoop. With Impala, analysts and data scientists now have the ability to perform real-time, “speed of thought” analytics on data stored in Hadoop via SQL or through Business Intelligence (BI) tools. The result is that large-scale data processing (via MapReduce) and interactive queries can be done on the same system using the same data and metadata – removing the need to migrate data sets into specialized systems and/or proprietary formats simply to perform analysis.

This is the sample program to connect your impalad by your client machine through JDBC.
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;

public class DriverTest {

private static String SQL_STATEMENT = "select sid from student limit 5";

// set the impalad host
private static String IMPALAD_HOST = "";

// port 21050 is the default impalad JDBC port
private static final String IMPALAD_JDBC_PORT = "21050";

private static final String CONNECTION_URL = "jdbc:hive2://" + IMPALAD_HOST + ':' + IMPALAD_JDBC_PORT + "/;auth=noSasl";

private static final String JDBC_DRIVER_NAME = "org.apache.hive.jdbc.HiveDriver";

 * @param args
 * @throws ClassNotFoundException
 * @throws SQLException
public static void main(String[] args) throws ClassNotFoundException, SQLException {

System.out.println("Cloudera Impala JDBC Example");
System.out.println("Using Connection URL: " + CONNECTION_URL);
System.out.println("Running Query: " + SQL_STATEMENT);

Connection con = null;

try {


con = DriverManager.getConnection(CONNECTION_URL);

Statement stmt = con.createStatement();

ResultSet rs = stmt.executeQuery(SQL_STATEMENT);

System.out.println("\n== Begin Query Results ======================");

// print the results to the console
while ( {
// the example query returns one String column

System.out.println("== End Query Results =======================\n\n");

} catch (SQLException e) {
} catch (Exception e) {
} finally {
try {
} catch (Exception e) {

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