HIVE JDBC连接详解

package org.conan.myhadoop.mr;import java.sql.Connection;import java.sql.DriverManager;import java.sql.ResultSet;import java.sql.SQLException;import java.sql.Statement;public class HiveJDBCConnection {    private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";    // Hive 0.11.0版本以后org.apache.hive.jdbc.HiveDriver    private static String url = "jdbc:hive://localhost:10000/default";    // Hive 0.11.0版本以后jdbc:hive2://localhost:10000/default    private static String userName = "";    private static String passWord = "";    public static void main(String[] args) {        try {            Class.forName(driverName);            Connection con = DriverManager.getConnection("url", "userName",                    "passWord");            Statement stmt = con.createStatement();            // 如果存在了就删除            String tableName = "jdbc_table";            String sql = "drop table if exists " + tableName;            stmt.execute(sql);            // 创建表            sql = "create table"                    + tableName                    + " (key string,value string) row format delimited fields terminated by ','  stored as textfile ";            stmt.execute(sql);            //加载数据            String Path="/home/hive_1.txt";            sql ="load data local inpath '"+Path+"' into table "+tableName;            stmt.execute(sql);            // 查询数据            sql ="select * from "+tableName;            ResultSet res = stmt.executeQuery(sql);            while(res.next()){                System.out.println(res.getString(1)+"\t"+res.getString(1));                            }                    } catch (ClassNotFoundException e) {            System.out.println("没有找到驱动类");            e.printStackTrace();        } catch (SQLException e) {            System.out.println("连接Hive的信息有问题");            e.printStackTrace();        }    }}

上面是用Java连接HiveServer，而HiveServer本身存在很多问题（比如：安全性、并发性等）；针对这些问题，Hive0.11.0版本提供了一个全新的服务：HiveServer2，这个很好的解决HiveServer存在的安全性、并发性等问题。

上面的userName和passWord是hive元数据mysql的用户名和密码

Use Cases: Hive CLI versus Beeline

The following section focuses on the common uses of Hive CLI/HiveServer1 and how you can migrate to Beeline/HiveServer2 in each case.

http://blog.cloudera.com/blog/2014/02/migrating-from-hive-cli-to-beeline-a-primer/?utm_source=tuicool&utm_medium=referral

参考文章：

http://www.iteblog.com/archives/846