Hive项目开发环境搭建（Eclipse\MyEclipse + Maven）

写在前面的话

　　　　可详细参考，一定得去看

HBase 开发环境搭建（Eclipse\MyEclipse + Maven）

Zookeeper项目开发环境搭建（Eclipse\MyEclipse + Maven）

　　我这里，相信，能看此博客的朋友，想必是有一定基础的了。我前期写了大量的基础性博文。可以去补下基础。

步骤一：File  ->  New  -> Project   ->  Maven Project

步骤二：自行设置，待会创建的myHBase工程，放在哪个目录下。

步骤三:

步骤四：自行设置

步骤五：修改jdk

省略，很简单！

步骤六：修改pom.xml配置文件

官网Maven的zookeeper配置文件内容：

地址：http://www.mvnrepository.com/search?q=hive

1、

2、

3、

　　

4、

5、

6、

　　暂时这些吧，以后需要，可以自行再加呢！

　　最后的pom.xml配置文件为

<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>zhouls.bigdata</groupId>
<artifactId>myHive</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>jar</packaging>

<name>myHive</name>
<url>http://maven.apache.org</url>

<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
</properties>

<dependencies>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-exec -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-exec</artifactId>
<version>1.2.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-metastore -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-metastore</artifactId>
<version>1.2.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-common -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-common</artifactId>
<version>1.2.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-service -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-service</artifactId>
<version>1.2.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hive/hive-jdbc -->
<dependency>
<groupId>org.apache.hive</groupId>
<artifactId>hive-jdbc</artifactId>
<version>1.2.1</version>
</dependency>
<!-- https://mvnrepository.com/artifact/org.apache.hadoop/hadoop-common -->
<dependency>
<groupId>org.apache.hadoop</groupId>
<artifactId>hadoop-common</artifactId>
<version>2.6.0</version>
</dependency>
<dependency>
<groupId>jdk.tools</groupId>
<artifactId>jdk.tools</artifactId>
<version>1.7</version>
<scope>system</scope>
<systemPath>${JAVA_HOME}/lib/tools.jar</systemPath>
</dependency>
</dependencies>
</project>

当然，这只是初步而已，最简单的，以后可以自行增删。

参考：Hive的JDBC接口实现（Eclipse环境配置）

hive里的JDBC编程入门

　在使用JDBC链接Hive之前，首先要开启Hive监听用户的连接。即在运行代码前，得

开启Hive服务的方法如下：

　　hive --service hiveserver2 >/dev/null  2>/dev/null&

步骤七：这里，给大家，通过一组简单的Hive应用程序实例来向大家展示Hive的某些功能。

　　类名为HiveTestCase.java

 package zhouls.bigdata.myHive;
 
 import java.sql.Connection;
 import java.sql.DriverManager;
 import java.sql.ResultSet;
 import java.sql.SQLException;
 import java.sql.Statement; 
 
 import org.apache.log4j.Logger; 
 
 /**
 * Handle data through hive on eclipse
 * @author zhouls
 * @time 2016\11\12 22:14
 */
 public class HiveTestCase {
     private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";
     private static String url = "jdbc:hive2://djt002:10000/default";
     private static String user = "";
     private static String password = "";
     private static String sql = "";
     private static ResultSet res;
     private static final Logger log = Logger.getLogger(HiveTestCase.class); 
 
     public static void main(String[] args) {
         try {
             Class.forName(driverName); // 注册JDBC驱动
 //            Connection conn = DriverManager.getConnection(url, user, password); 
 
             //默认使用端口10000, 使用默认数据库，用户名密码默认
             Connection conn = DriverManager.getConnection("jdbc:hive2://djt002:10000/default", "", "");
 //            Connection conn = DriverManager.getConnection("jdbc:hive://HadoopSlave1:10000/default", "", "");
             //当然，若是3节点集群，则HadoopMaster或HadoopSlave1或HadoopSlave2都可以呢。前提是每个都安装了Hive，当然只安装一台就足够了。
 
             //    Statement用来执行SQL语句
             Statement stmt = conn.createStatement(); 
 
             // 创建的表名
             String tableName = "testHiveDriverTable"; 
 
             /** 第一步:存在就先删除 **/
             sql = "drop table " + tableName;
             stmt.executeQuery(sql); 
 
             /** 第二步:不存在就创建 **/
             sql = "create table " + tableName +
                   "(userid int , " +
                   "movieid int," +
                   "rating int," +
                   "city string," +
                   "viewTime string)" +
                   "row format delimited " +
                   "fields terminated by '\t' " +
                   "stored as textfile";
 
             // sql = "create table " + tableName + " (key int, value string) row format delimited fields terminated by '\t'";
             stmt.executeQuery(sql); 
 
             // 执行“show tables”操作
             sql = "show tables '" + tableName + "'";
             System.out.println("Running:" + sql);
             res = stmt.executeQuery(sql);
             System.out.println("执行“show tables”运行结果:");
             if (res.next()) {
                 System.out.println(res.getString(1));
             } 
 
             // 执行“describe table”操作
             sql = "describe " + tableName;
             System.out.println("Running:" + sql);
             res = stmt.executeQuery(sql);
             System.out.println("执行“describe table”运行结果:");
             while (res.next()) {
                 System.out.println(res.getString(1) + "\t" + res.getString(2));
             } 
 
             // 执行“load data into table”操作
             String filepath = "/usr/local/data/test2_hive.txt"; //因为是load data local inpath，所以是本地路径
             sql = "load data local inpath '" + filepath + "' into table " + tableName; 
 
 //            String filepath = "/hive/data/test2_hive.txt"; //因为是load data  inpath，所以是集群路径，即hdfs://djt002/9000/hive/data/下
 //            sql = "load data inpath '" + filepath + "' into table " + tableName; 
 
             System.out.println("Running:" + sql);
             res = stmt.executeQuery(sql); 
 
             // 执行“select * query”操作
             sql = "select * from " + tableName;
             System.out.println("Running:" + sql);
             res = stmt.executeQuery(sql);
             System.out.println("执行“select * query”运行结果:");
             while (res.next()) {
                 System.out.println(res.getInt(1) + "\t" + res.getString(2));
             } 
 
             // 执行“regular hive query”操作
             sql = "select count(1) from " + tableName;
             System.out.println("Running:" + sql);
             res = stmt.executeQuery(sql);
             System.out.println("执行“regular hive query”运行结果:");
             while (res.next()) {
                 System.out.println(res.getString(1)); 
 
             } 
 
             conn.close();
             conn = null;
         } catch (ClassNotFoundException e) {
             e.printStackTrace();
             log.error(driverName + " not found!", e);
             System.exit(1);
         } catch (SQLException e) {
             e.printStackTrace();
             log.error("Connection error!", e);
             System.exit(1);
         } 
 
     }
 }

　　或者

 package com.dajangtai.Hive;
 
 import java.sql.Connection;
 import java.sql.DriverManager;
 import java.sql.ResultSet;
 import java.sql.SQLException;
 import java.sql.Statement;
 
 public class Demo {
     private static String driverName = "org.apache.hive.jdbc.HiveDriver";//hive驱动名称
     private static String url = "jdbc:hive2://djt002:10000/default";//连接hive2服务的连接地址，Hive0.11.0以上版本提供了一个全新的服务：HiveServer2
     private static String user = "hadoop";//对HDFS有操作权限的用户
     private static String password = "";//在非安全模式下，指定一个用户运行查询，忽略密码
     private static String sql = "";
     private static ResultSet res;
     public static void main(String[] args) {
         try {
             Class.forName(driverName);//加载HiveServer2驱动程序
             Connection conn = DriverManager.getConnection(url, user, password);//根据URL连接指定的数据库
             Statement stmt = conn.createStatement();
 
             //创建的表名
             String tableName = "testHiveDriverTable";
 
             /** 第一步:表存在就先删除 **/
             sql = "drop table " + tableName;
             stmt.execute(sql);
 
             /** 第二步:表不存在就创建 **/
             sql = "create table " + tableName + " (key int, value string)  row format delimited fields terminated by '\t' STORED AS TEXTFILE";
             stmt.execute(sql);
 
             // 执行“show tables”操作
             sql = "show tables '" + tableName + "'";
             res = stmt.executeQuery(sql);
             if (res.next()) {
                 System.out.println(res.getString(1));
             }
 
             // 执行“describe table”操作
             sql = "describe " + tableName;
             res = stmt.executeQuery(sql);
             while (res.next()) {
                 System.out.println(res.getString(1) + "\t" + res.getString(2));
             }
 
             // 执行“load data into table”操作
             String filepath = "/usr/local/data/djt.txt";//hive服务所在节点的本地文件路径
             sql = "load data local inpath '" + filepath + "' into table " + tableName;
             stmt.execute(sql);
 
             // 执行“select * query”操作
             sql = "select * from " + tableName;
             res = stmt.executeQuery(sql);
             while (res.next()) {
                 System.out.println(res.getInt(1) + "\t" + res.getString(2));
             }
 
             // 执行“regular hive query”操作，此查询会转换为MapReduce程序来处理
             sql = "select count(*) from " + tableName;
             res = stmt.executeQuery(sql);
             while (res.next()) {
                 System.out.println(res.getString(1));
             }
             conn.close();
             conn = null;
         } catch (ClassNotFoundException e) {
             e.printStackTrace();
             System.exit(1);
         } catch (SQLException e) {
             e.printStackTrace();
             System.exit(1);
         }
     }
 }

　　若是MyEclipse里，需要注意一下

MyEclipse *的安装步骤和破解（32位和64位皆适用）