用java api 实现查询 Hive 数据

版本：cdh5.4.7， hive1.1.0

pom文件

　　　　　　　　　<dependency>
			<groupId>org.apache.hive</groupId>
			<artifactId>hive-jdbc</artifactId>
			<version>1.2.1</version>
		</dependency>

		<dependency>
			<groupId>org.apache.hadoop</groupId>
			<artifactId>hadoop-common</artifactId>
			<version>2.6.0</version>
		</dependency>
		<dependency>
			<groupId>org.apache.hadoop</groupId>
			<artifactId>hadoop-client</artifactId>
			<version>2.6.0</version>
		</dependency>

		<dependency>
			<groupId>org.apache.thrift</groupId>
			<artifactId>libthrift</artifactId>
			<version>0.9.3</version>
		</dependency>

需要先启动的服务有:

./hive --service hiveserver2

./hive --service metastore

　

　java代码：

public static void main(String[] args) {
        String connectionURL = "jdbc:hive2://node11:10000/didu";
        String drivername = "org.apache.hive.jdbc.HiveDriver";
        String username = "";
        String password = "";
        try {
            Class.forName(drivername);
                } 
            catch (ClassNotFoundException e)
              {
            // TODO Auto-generated catch block
            e.printStackTrace();
            System.exit(1);
              }
              try {
                Connection con = DriverManager.getConnection(connectionURL, username, password);
                if(con != null) 
                {
                System.out.println("Connected");
                    }
                else
                    {
                System.out.println("Not Connected");
                }
                Statement stmt = con.createStatement(); 
                // select * query
                String sql;
                ResultSet res;
               sql = "select * from u_data limit 10";
               // sql = "show tables";
                System.out.println("Running: " + sql);
                    res = stmt.executeQuery(sql);
                while (res.next())
                {
                      System.out.println(String.valueOf(res.getString(1)) + "	" + res.getString(2));
                }
                  }
              catch(SQLException se) 
              {
                se.printStackTrace();
              }

    }

结果展示：