java通过jdbc连接hive保姆级

环境：

基于ambari 2.7.4搭建
hadoop 3.1.1 ( 实现namenode HA )
hive 3.1.0 (mysql存储元数据)

实现步骤：

添加pom依赖

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
         xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <groupId>org.example</groupId>
    <artifactId>aisino_api</artifactId>
    <version>1.0-SNAPSHOT</version>
    <build>
        <plugins>
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <configuration>
                    <source>7</source>
                    <target>7</target>
                </configuration>
            </plugin>
        </plugins>
    </build>
<!--    <name>ca.test</name>-->
    <url>http://maven.apache.org</url>
    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <commons.io.version>2.4</commons.io.version>
        <commons.codec.version>1.6</commons.codec.version>
    </properties>


    <dependencies>

        <dependency>
            <groupId>commons-io</groupId>
            <artifactId>commons-io</artifactId>
            <version>${commons.io.version}</version>
        </dependency>
        <dependency>
            <groupId>org.apache.directory.studio</groupId>
            <artifactId>org.apache.commons.codec</artifactId>
            <version>${commons.codec.version}</version>
        </dependency>
        <dependency>
            <groupId>commons-lang</groupId>
            <artifactId>commons-lang</artifactId>
            <version>2.5</version>
        </dependency>
        <dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.75</version>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <version>5.1.31</version>
        </dependency>
		    <!--  以上dependency 可以不用导-->
        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-exec</artifactId>
            <version>3.1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hive</groupId>
            <artifactId>hive-jdbc</artifactId>
            <version>3.1.0</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-common</artifactId>
            <version>3.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-client</artifactId>
            <version>3.1.1</version>
        </dependency>
        <dependency>
            <groupId>org.apache.hadoop</groupId>
            <artifactId>hadoop-hdfs</artifactId>
            <version>3.1.1</version>
        </dependency>

    </dependencies>

resources目录下创建 xxx.properties文件
```
hive_driver=org.apache.hive.jdbc.HiveDriver
hive_url=jdbc:hive2://hostname1:2181,hostname2:2181,hostname3:2181/;serviceDiscoveryMode=zooKeeper;zooKeeperNamespace=hiveserver2
hive_username=****
hive_password=****
```
a. 若使用windows跑程序，hosts文件添加服务器hosts ,或者上面配置hostname改成服务器ip
b. ambari查看hiveserver2 url
ambari打开到hive页面复制
c. username 和 password在搭建hive的时候看自己创建的啥

随便写了个HiveJdbctUtil

package util;

import org.apache.log4j.Logger;

import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.List;
import java.util.ResourceBundle;
import java.util.concurrent.locks.Lock;
import java.util.concurrent.locks.ReentrantLock;

public class HiveJDBCUtil {
      
      
    private static String hive_driver;
    private static String hive_url;
    private static String hive_username;
    private static String hive_password;
    private final static Logger LOG = Logger.getLogger(HiveJDBCUtil.class);
    private static Connection conn;
    private static Lock lock = new ReentrantLock();

    static {
      
      
    	#第二步创建properties取的名字
        ResourceBundle bundle = ResourceBundle.getBundle("xxx");
        hive_driver = bundle.getString("hive_driver");
        hive_url = bundle.getString("hive_url");
        hive_username = bundle.getString("hive_username");
        hive_password = bundle.getString("hive_password");
        try {
      
      
            Class.forName(hive_driver);
            LOG.info("加载hiveJdbcDriver成功");
        } catch (ClassNotFoundException e) {
      
      
            LOG.error("加载hiveJdbcDriver失败:" + e);
        }
    }

    public static Connection getHiveConnection() throws SQLException {
      
      
        if (conn == null || conn.isClosed()) {
      
      
            lock.lock();
            if (conn == null || conn.isClosed()) {
      
      
                conn = DriverManager.getConnection(
                        hive_url,
                        hive_username,
                        hive_password);
            }
            lock.unlock();
        }

        return conn;
    }

    public static boolean executeSql(String sql) {
      
      
        Connection hiveConn = null;
        Statement stmt = null;
        try {
      
      
            hiveConn = getHiveConnection();
            stmt = hiveConn.createStatement();
            LOG.info("Executing sql: " + sql);
            stmt.executeQuery(sql);
        } catch (Exception e) {
      
      
            LOG.error(e);
            return false;
        }
        return true;
    }


    public static boolean executeSqls(List<String> sqls) {
      
      
        Connection hiveConn = null;
        Statement stmt = null;
        try {
      
      
            hiveConn = getHiveConnection();
            stmt = hiveConn.createStatement();
            for (String sql : sqls) {
      
      
                LOG.info("Executing sql: " + sql);
                stmt.executeQuery(sql);
            }
        } catch (Exception e) {
      
      
            LOG.error(e);
            return false;
        }
        return true;
    }

}

简单测试

import util.HiveJDBCUtil;

import java.sql.Connection;
import java.sql.ResultSet;
import java.sql.SQLException;
import java.sql.Statement;

public class TEST {
      
      
    public static void main(String[] args) {
      
      
        Connection hiveConnection = null;
        Statement statement = null;
        ResultSet rs = null;
        try {
      
      
            hiveConnection = HiveJDBCUtil.getHiveConnection();
            statement = hiveConnection.createStatement();
            String sql = "select id from test.test limit 100";
            rs = statement.executeQuery(sql);

            while (rs.next()) {
      
      
                System.out.println(rs.getString("id"));
            }
        } catch (Exception throwables) {
      
      
            throwables.printStackTrace();
        } finally {
      
      
            try {
      
      
                rs.close();
            } catch (SQLException throwables) {
      
      
                throwables.printStackTrace();
            }
            try {
      
      
                statement.close();
            } catch (SQLException throwables) {
      
      
                throwables.printStackTrace();
            }
            try {
      
      
                hiveConnection.close();
            } catch (SQLException throwables) {
      
      
                throwables.printStackTrace();
            }
        }


    }
}

结果

出现的问题：
一开始连接不上，超时，发现是端口管控，10000端口没有开放。

java通过jdbc连接hive保姆级

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