一、Maven依赖

<dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-jdbc</artifactId>
            <version>2.3.9</version>
</dependency>

二、相关配置信息

驱动类：org.apache.hive.jdbc.HiveDriver

连接URL:jdbc:hive2://xxx:2181,xxx:2181/;principal=hadoop/xxx@EMR-GMxxx;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=kyuubi;?spark.app.name=test-kyuubi;kyuubi.engine.share.level=USER;spark.submit.deployMode=cluster;kyuubi.session.engine.check.interval=PT5M;kyuubi.session.engine.idle.timeout=PT30M;
【注意】：
principal 配置的信息为账号鉴权信息
zooKeeperNamespace 需要指定为 kyuubi
?后的参数为kyuubi配置参数

三、 Kerberos 身份验证

1、需要准备两个文件，可以从集群kerberos配置里拷贝
krb5 /app/data/config/kerberos/krb5.conf
krb5Keytab /app/data/config/kerberos/emr.keytab

2、获取账号
krb5hadoop hadoop/xxxx@EMR-QX9xxxx


3、加载代码
/**
     * 加载hive krb 配置
     */
    public void loadingHiveKrbConfig() {
        try {
            log.info("加载hive krb 配置");
            System.setProperty("java.security.krb5.conf", krb5);
            Configuration configuration = new Configuration();
            configuration.setBoolean("hadoop.security.authorization", true);
            configuration.set("hadoop.security.authentication", "Kerberos");
            UserGroupInformation.setConfiguration(configuration);
            if (UserGroupInformation.isLoginKeytabBased()) {
                log.info("UserGroupInformation.isLoginKeytabBased() is ture");
                UserGroupInformation.getLoginUser().reloginFromKeytab();
            } else {
                log.info("UserGroupInformation.isLoginKeytabBased() is false");
                UserGroupInformation.loginUserFromKeytab(krb5hadoop, krb5Keytab);
            }
            log.info("ticketCache=====>" + UserGroupInformation.isLoginTicketBased());
        } catch (Exception e) {
            log.error("加载hive krb 配置 失败：", e);
            e.printStackTrace();
        }
    }

四、连接代码

    Connection connection = null;
    HiveStatement statement = null;
    HiveQueryResultSet resultSet = null;
    try {
        loadingHiveKrbConfig();
        Class.forName("org.apache.hive.jdbc.HiveDriver"));
        connection = DriverManager.getConnection(url);
        statement = (HiveStatement) connection.createStatement();
        resultSet = (HiveQueryResultSet) statement.executeQuery(sql);
    } catch (Exception e) {
        e.printStackTrace();
    } finally {
        try {
            if (null != resultSet) {
                resultSet.close();
            }
            if (null != statement) {
                statement.close();
            }
            if (null != connection) {
                connection.close();
            }
        } catch (final Exception e) {
            e.printStackTrace();
        }
    }