當前位置：首頁 > 编程资源 > 编程问答 >内容正文

编程问答

JDBC 连接Hive 简单样例（开启Kerberos）

發布時間：2025/3/11 编程问答 46 豆豆

生活随笔收集整理的這篇文章主要介紹了 JDBC 连接Hive 简单样例（开启Kerberos）小編覺得挺不錯的,現在分享給大家,幫大家做個參考.

今天在移動的云平臺上通過jdbc連接hive，發現云平臺使用了 kerberos的認證。與寧波實驗環境不同。

發現一文解決了問題，轉載如下：

原文地址：http://blog.csdn.net/zengmingen/article/details/78605086

------------------------------

運用 Ambari 搭建的HDP 集群，由于開啟了kerberos ，對外提供Hive數據時統一用JDBC 的方式，所以寫了下面這么一個簡單樣例供第三方數據接入參考。

代碼如下所示：

package com.bmsoft.hive.impl;import org.apache.hadoop.security.UserGroupInformation; import java.io.IOException; import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.SQLException; import java.sql.Statement;/*** 簡單的jdbc連接hive實例（已開啟kerberos服務)*/public class HiveSimple2 {/*** 用于連接Hive所需的一些參數設置 driverName:用于連接hive的JDBC驅動名 When connecting to* HiveServer2 with Kerberos authentication, the URL format is:* jdbc:hive2://<host>:<port>/<db>;principal=* <Server_Principal_of_HiveServer2>*/private static String driverName = "org.apache.hive.jdbc.HiveDriver";// 注意：這里的principal是固定不變的，其指的hive服務所對應的principal,而不是用戶所對應的principalprivate static String url = "jdbc:hive2://bigdata40:10000/admin;principal=hive/bigdata40@BIGDATA.COM";private static String sql = "";private static ResultSet res;public static Connection get_conn() throws SQLException, ClassNotFoundException {/** 使用Hadoop安全登錄 **/org.apache.hadoop.conf.Configuration conf = new org.apache.hadoop.conf.Configuration();conf.set("hadoop.security.authentication", "Kerberos");if (System.getProperty("os.name").toLowerCase().startsWith("win")) {// 默認：這里不設置的話，win默認會到 C盤下讀取krb5.initSystem.setProperty("java.security.krb5.conf", "C:/Windows/krbconf/bms/krb5.ini");} // linux 會默認到 /etc/krb5.conf 中讀取krb5.conf,本文筆者已將該文件放到/etc/目錄下，因而這里便不用再設置了try {UserGroupInformation.setConfiguration(conf);UserGroupInformation.loginUserFromKeytab("test2/hdp39@BMSOFT.COM", "./conf/test2.keytab");} catch (IOException e1) {e1.printStackTrace();}Class.forName(driverName);Connection conn = DriverManager.getConnection(url);return conn;}/*** 查看數據庫下所有的表** @param statement* @return*/public static boolean show_tables(Statement statement) {sql = "SHOW TABLES";System.out.println("Running:" + sql);try {ResultSet res = statement.executeQuery(sql);System.out.println("執行“+sql+運行結果:");while (res.next()) {System.out.println(res.getString(1));}return true;} catch (SQLException e) {e.printStackTrace();}return false;}/*** 獲取表的描述信息** @param statement* @param tableName* @return*/public static boolean describ_table(Statement statement, String tableName) {sql = "DESCRIBE " + tableName;try {res = statement.executeQuery(sql);System.out.print(tableName + "描述信息:");while (res.next()) {System.out.println(res.getString(1) + "\t" + res.getString(2));}return true;} catch (SQLException e) {e.printStackTrace();}return false;}/*** 刪除表** @param statement* @param tableName* @return*/public static boolean drop_table(Statement statement, String tableName) {sql = "DROP TABLE IF EXISTS " + tableName;System.out.println("Running:" + sql);try {statement.execute(sql);System.out.println(tableName + "刪除成功");return true;} catch (SQLException e) {System.out.println(tableName + "刪除失敗");e.printStackTrace();}return false;}/*** 查看表數據** @param statement* @return*/public static boolean queryData(Statement statement, String tableName) {sql = "SELECT * FROM " + tableName + " LIMIT 20";System.out.println("Running:" + sql);try {res = statement.executeQuery(sql);System.out.println("執行“+sql+運行結果:");while (res.next()) {System.out.println(res.getString(1) + "," + res.getString(2) + "," + res.getString(3));}return true;} catch (SQLException e) {e.printStackTrace();}return false;}/*** 創建表** @param statement* @return*/public static boolean createTable(Statement statement, String tableName) {sql = "CREATE TABLE test_1m_test2 AS SELECT * FROM test_1m_test"; // 為了方便直接復制另一張表數據來創建表System.out.println("Running:" + sql);try {boolean execute = statement.execute(sql);System.out.println("執行結果：" + execute);return true;} catch (SQLException e) {e.printStackTrace();}return false;}public static void main(String[] args) {try {Connection conn = get_conn();Statement stmt = conn.createStatement();// 創建的表名String tableName = "test_100m";show_tables(stmt);// describ_table(stmt, tableName);/** 刪除表 **/// drop_table(stmt, tableName);// show_tables(stmt);// queryData(stmt, tableName);createTable(stmt, tableName);conn.close();} catch (Exception e) {e.printStackTrace();} finally {System.out.println("!!!!!!END!!!!!!!!");}} }

pom.xml 文件如下所示：

<dependencies><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>2.7.1</version></dependency><dependency><groupId>org.apache.hive</groupId><artifactId>hive-exec</artifactId><version>1.2.1</version></dependency><dependency><groupId>org.apache.hive</groupId><artifactId>hive-metastore</artifactId><version>1.2.1</version></dependency><dependency><groupId>org.apache.hive</groupId><artifactId>hive-common</artifactId><version>1.2.1</version></dependency><dependency><groupId>org.apache.hive</groupId><artifactId>hive-service</artifactId><version>1.2.1</version></dependency><dependency><groupId>log4j</groupId><artifactId>log4j</artifactId><version>1.2.17</version><type>jar</type></dependency><dependency><groupId>org.apache.hadoop</groupId><artifactId>hadoop-client</artifactId><version>2.7.3</version></dependency>

參考文檔：?
https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients

文檔其中比較值得注意的一點是：

JDBC Client Setup for a Secure Cluster When connecting to HiveServer2 with Kerberos authentication, the URL format is: jdbc:hive2://<host>:<port>/<db>;principal=<Server_Principal_of_HiveServer2>

這里的principal是固定不變的，其指的hive服務所對應的principal,而不是用戶所對應的principal; 對于這里的可以為不存在的數據庫，但是如果這么做那么在查詢表的時候則需要指出其所在的庫（如db.tablename），否則默認會查詢所對應的表。

總結

以上是生活随笔為你收集整理的JDBC 连接Hive 简单样例（开启Kerberos）的全部內容，希望文章能夠幫你解決所遇到的問題。

如果覺得生活随笔網站內容還不錯，歡迎將生活随笔推薦給好友。

上一篇： Java中如何使用非阻塞异步编程——Co
下一篇： linux下VI模式中上下左右键和回退键