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。
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
1 package zhouls.bigdata.myHive;
2
3 import java.sql.Connection;
4 import java.sql.DriverManager;
5 import java.sql.ResultSet;
6 import java.sql.SQLException;
7 import java.sql.Statement;
8
9 import org.apache.log4j.Logger;
10
11 /**
12 * Handle data through hive on eclipse
13 * @author zhouls
14 * @time 2016\11\12 22:14
15 */
16 public class HiveTestCase {
17 private static String driverName = "org.apache.hadoop.hive.jdbc.HiveDriver";
18 private static String url = "jdbc:hive2://djt002:10000/default";
19 private static String user = "";
20 private static String password = "";
21 private static String sql = "";
22 private static ResultSet res;
23 private static final Logger log = Logger.getLogger(HiveTestCase.class);
24
25 public static void main(String[] args) {
26 try {
27 Class.forName(driverName); // 注册JDBC驱动
28 // Connection conn = DriverManager.getConnection(url, user, password);
29
30 //默认使用端口10000, 使用默认数据库，用户名密码默认
31 Connection conn = DriverManager.getConnection("jdbc:hive2://djt002:10000/default", "", "");
32 // Connection conn = DriverManager.getConnection("jdbc:hive://HadoopSlave1:10000/default", "", "");
33 //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。
34
35 // Statement用来执行SQL语句
36 Statement stmt = conn.createStatement();
37
38 // 创建的表名
39 String tableName = "testHiveDriverTable";
40
41 /** 第一步:存在就先删除 **/
42 sql = "drop table " + tableName;
43 stmt.executeQuery(sql);
44
45 /** 第二步:不存在就创建 **/
46 sql = "create table " + tableName +
47 "(userid int , " +
48 "movieid int," +
49 "rating int," +
50 "city string," +
51 "viewTime string)" +
52 "row format delimited " +
53 "fields terminated by '\t' " +
54 "stored as textfile";
55
56 // sql = "create table " + tableName + " (key int, value string) row format delimited fields terminated by '\t'";
57 stmt.executeQuery(sql);
58
59 // 执行“show tables”操作
60 sql = "show tables '" + tableName + "'";
61 System.out.println("Running:" + sql);
62 res = stmt.executeQuery(sql);
63 System.out.println("执行“show tables”运行结果:");
64 if (res.next()) {
65 System.out.println(res.getString(1));
66 }
67
68 // 执行“describe table”操作
69 sql = "describe " + tableName;
70 System.out.println("Running:" + sql);
71 res = stmt.executeQuery(sql);
72 System.out.println("执行“describe table”运行结果:");
73 while (res.next()) {
74 System.out.println(res.getString(1) + "\t" + res.getString(2));
75 }
76
77 // 执行“load data into table”操作
78 String filepath = "/usr/local/data/test2_hive.txt"; //因为是load data local inpath，所以是本地路径
79 sql = "load data local inpath '" + filepath + "' into table " + tableName;
80
81 // 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
82 // sql = "load data inpath '" + filepath + "' into table " + tableName;
83
84 System.out.println("Running:" + sql);
85 res = stmt.executeQuery(sql);
86
87 // 执行“select * query”操作
88 sql = "select * from " + tableName;
89 System.out.println("Running:" + sql);
90 res = stmt.executeQuery(sql);
91 System.out.println("执行“select * query”运行结果:");
92 while (res.next()) {
93 System.out.println(res.getInt(1) + "\t" + res.getString(2));
94 }
95
96 // 执行“regular hive query”操作
97 sql = "select count(1) from " + tableName;
98 System.out.println("Running:" + sql);
99 res = stmt.executeQuery(sql);
100 System.out.println("执行“regular hive query”运行结果:");
101 while (res.next()) {
102 System.out.println(res.getString(1));
103
104 }
105
106 conn.close();
107 conn = null;
108 } catch (ClassNotFoundException e) {
109 e.printStackTrace();
110 log.error(driverName + " not found!", e);
111 System.exit(1);
112 } catch (SQLException e) {
113 e.printStackTrace();
114 log.error("Connection error!", e);
115 System.exit(1);
116 }
117
118 }
119 }
或者
1 package com.dajangtai.Hive;
2
3
4
5
6 import java.sql.Connection;
7 import java.sql.DriverManager;
8 import java.sql.ResultSet;
9 import java.sql.SQLException;
10 import java.sql.Statement;
11
12
13 public class Demo {
14 private static String driverName = "org.apache.hive.jdbc.HiveDriver";//hive驱动名称
15 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
16 private static String user = "hadoop";//对HDFS有操作权限的用户
17 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
18 private static String sql = "";
19 private static ResultSet res;
20 public static void main(String[] args) {
21 try {
22 Class.forName(driverName);//加载HiveServer2驱动程序
23 Connection conn = DriverManager.getConnection(url, user, password);//根据URL连接指定的数据库
24 Statement stmt = conn.createStatement();
25
26 //创建的表名
27 String tableName = "testHiveDriverTable";
28
29 /** 第一步:表存在就先删除 **/
30 sql = "drop table " + tableName;
31 stmt.execute(sql);
32
33 /** 第二步:表不存在就创建 **/
34 sql = "create table " + tableName + " (key int, value string) row format delimited fields terminated by '\t' STORED AS TEXTFILE";
35 stmt.execute(sql);
36
37 // 执行“show tables”操作
38 sql = "show tables '" + tableName + "'";
39 res = stmt.executeQuery(sql);
40 if (res.next()) {
41 System.out.println(res.getString(1));
42 }
43
44 // 执行“describe table”操作
45 sql = "describe " + tableName;
46 res = stmt.executeQuery(sql);
47 while (res.next()) {
48 System.out.println(res.getString(1) + "\t" + res.getString(2));
49 }
50
51 // 执行“load data into table”操作
52 String filepath = "/usr/local/data/djt.txt";//hive服务所在节点的本地文件路径
53 sql = "load data local inpath '" + filepath + "' into table " + tableName;
54 stmt.execute(sql);
55
56 // 执行“select * query”操作
57 sql = "select * from " + tableName;
58 res = stmt.executeQuery(sql);
59 while (res.next()) {
60 System.out.println(res.getInt(1) + "\t" + res.getString(2));
61 }
62
63 // 执行“regular hive query”操作，此查询会转换为MapReduce程序来处理
64 sql = "select count(*) from " + tableName;
65 res = stmt.executeQuery(sql);
66 while (res.next()) {
67 System.out.println(res.getString(1));
68 }
69 conn.close();
70 conn = null;
71 } catch (ClassNotFoundException e) {
72 e.printStackTrace();
73 System.exit(1);
74 } catch (SQLException e) {
75 e.printStackTrace();
76 System.exit(1);
77 }
78 }
79 }
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）
