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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

  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）

 

posted @ 2016-11-02 21:11  大数据和AI躺过的坑  阅读(7314)  评论(0)  编辑  收藏  举报