Hadoop 入门教程

「爱情、让人受尽委屈。」 2022-10-05 10:55 162阅读 0赞

###  ###

*  Hadoop 教程
 *   *  1. 前期准备
     *  2. HDFS启动
     *  3. Hadoop启动失败解决方法
     *  4. Hadoop Shell命令
     *  5. Java 操作 HDFS API
     *   *  5.1. 新建项目
         *  5.2. 测试
         *   *  5.2.1 新建文件夹
             *  5.2.2 新建文件
             *  5.2.3 修改文件名称
             *  5.2.4 查看文件
             *  5.2.5 上传文件
             *  5.2.6 下载文件
     *  6. Java 实现 WordCount

# Hadoop 教程 #

## 1. 前期准备 ##

*  IDEA安装
    
     *  [IDEA2020.3.3][]
 *  JDK安装
    
     *  [jdk18绿色版][jdk18]
 *  IDEA中JDK配置
 *  VMware安装
 *  Hadoop 虚拟机
    
     *  待补充

## 2. HDFS启动 ##

cd app/hadoop-2.6.0-cdh5.7.0/sbin/
    ./start-dfs.sh

![在这里插入图片描述][20210608191922479.png]

## 3. Hadoop启动失败解决方法 ##

*  重新编辑本机的hosts文件
    
        sudo vim /etc/hosts
 *  将 `hadoop000` 与 `localhost` 均改为本机ip  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70]  
    ![在这里插入图片描述][20210608190336738.png]

## 4. Hadoop Shell命令 ##

>  *  浏览器可视化文件系统  
>     ![在这里插入图片描述][20210608185938387.png]

*  路径遍历
    
     *  hadoop fs -ls \[路径\]
 *  查看文件
    
     *  hadoop fs -cat \[文件路径\]
     *  eg：hadoop fs -cat /hadoopruochen/test/ruochen.txt
 *  新建文件夹
    
     *  hadoop fs -mkdir -p \[路径\]
     *  \-p：递归新建
     *  eg：hadoop fs -mkdir -p /hadoopruochen/test
 *  传文件到 Hadoop
    
     *  hadoop fs -put \[文件路径\] \[hadoop路径\]
     *  eg：hadoop fs -put ruochen.txt /hadoopruochen/test
 *  下载 Hadoop 文件到本地
    
     *  hadoop fs -get \[hadoop文件路径\] \[本地路径\]
     *  eg：hadoop fs -get /hadoopruochen/test/ruochen.txt haha.txt
 *  移动文件
    
     *  hadoop fs -mv \[源路径\] \[目的路径\]
     *  eg：hadoop fs -mv /hadoopruochen/test/ruochen.txt /user
 *  删除文件
    
     *  hadoop fs -rm \[-r\] \[文件\]
     *  eg：hadoop fs -rm /hadoopruochen
     *  eg：hadoop fs -rm -r /hadoopruochen

## 5. Java 操作 HDFS API ##

### 5.1. 新建项目 ###

*  新建一个空项目，我这里起名为`BigData`  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 1]
 *  新建一个module  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 2]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 3]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 4]
 *  Finish 即可
 *  `pom.xml`如下

<?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>com.neusoft</groupId>
        <artifactId>hadoopdemo</artifactId>
        <version>1.0-SNAPSHOT</version>
    
        <name>hadoopdemo</name>
        
        <url>http://www.example.com</url>
    
        <properties>
            <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
            <maven.compiler.source>1.7</maven.compiler.source>
            <maven.compiler.target>1.7</maven.compiler.target>
            <hadoop.version>2.6.0-cdh5.7.0</hadoop.version>
        </properties>
        <repositories>
            <repository>
                <id>cloudera</id>
                <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
            </repository>
        </repositories>
    
        <dependencies>
            
            <dependency>
                <groupId>org.apache.hadoop</groupId>
                <artifactId>hadoop-client</artifactId>
                <version>${hadoop.version}</version>
            </dependency>
            <dependency>
                <groupId>junit</groupId>
                <artifactId>junit</artifactId>
                <version>4.11</version>
                <scope>test</scope>
            </dependency>
        </dependencies>
    
        <build>
            <pluginManagement>
                <plugins>
                    
                    <plugin>
                        <artifactId>maven-clean-plugin</artifactId>
                        <version>3.1.0</version>
                    </plugin>
                    
                    <plugin>
                        <artifactId>maven-resources-plugin</artifactId>
                        <version>3.0.2</version>
                    </plugin>
                    <plugin>
                        <artifactId>maven-compiler-plugin</artifactId>
                        <version>3.8.0</version>
                    </plugin>
                    <plugin>
                        <artifactId>maven-surefire-plugin</artifactId>
                        <version>2.22.1</version>
                    </plugin>
                    <plugin>
                        <artifactId>maven-jar-plugin</artifactId>
                        <version>3.0.2</version>
                    </plugin>
                    <plugin>
                        <artifactId>maven-install-plugin</artifactId>
                        <version>2.5.2</version>
                    </plugin>
                    <plugin>
                        <artifactId>maven-deploy-plugin</artifactId>
                        <version>2.8.2</version>
                    </plugin>
                    
                    <plugin>
                        <artifactId>maven-site-plugin</artifactId>
                        <version>3.7.1</version>
                    </plugin>
                    <plugin>
                        <artifactId>maven-project-info-reports-plugin</artifactId>
                        <version>3.0.0</version>
                    </plugin>
                </plugins>
            </pluginManagement>
        </build>
    </project>

### 5.2. 测试 ###

#### 5.2.1 新建文件夹 ####

*  接下来，我们使用 Java 连接 hdfs，并新建一个文件夹
 *  在test下新建`HDFSApp.java`，如下  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 5]
 *  通过测试方法连接HDFS，并新建一个`/ruochen/test2`文件夹，代码如下
    
        package com.neusoft.hdfs;
        
        import org.apache.hadoop.fs.FileSystem;
        import org.apache.hadoop.fs.Path;
        import org.junit.After;
        import org.junit.Before;
        import org.junit.Test;
        import org.apache.hadoop.conf.Configuration;
        
        import java.net.URI;
        
        public class HDFSApp { 
            Configuration configuration = null;
            FileSystem fileSystem = null;
            public static final String HDFS_PATH = "hdfs://192.168.10.128:8020";
        
            @Test
            public void mkdir() throws Exception { 
                fileSystem.mkdirs(new Path("/ruochen/test2"));
            }
        
            // Java 连接hdfs 需要先建立一个连接
            // 测试方法执行之前要执行的操作
            @Before
            public void setUp() throws Exception { 
                System.out.println("开始建立与HDFS的连接");
                configuration = new Configuration();
                fileSystem = FileSystem.get(new URI(HDFS_PATH), configuration, "hadoop");
            }
        
            // 测试之后要执行的代码
            @After
            public void tearDown() { 
                configuration = null;
                fileSystem = null;
                System.out.println("关闭与HDFS的连接");
            }
        }
 *  然后运行`mkdir()`函数，运行完后我们可以看到已经新建了一个文件夹  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 6]

#### 5.2.2 新建文件 ####

*  新建文件代码如下
    
        // 创建文件
            @Test
            public void create() throws Exception { 
                Path path = new Path("/ruochen/test1/hello.txt");
                FSDataOutputStream outputStream = fileSystem.create(path);
                outputStream.write("hello world".getBytes());
                outputStream.flush();
                outputStream.close();
            }
 *  运行结束后，我们通过shell脚本查看一下  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70_pic_center]

#### 5.2.3 修改文件名称 ####

*  Java代码如下
    
        // rename文件
           @Test
           public void rename() throws Exception { 
               Path oldPath = new Path("/ruochen/test1/hello.txt");
               Path newPath = new Path("/ruochen/test1/xixi.txt");
               fileSystem.rename(oldPath, newPath);
           }
 *  运行结果如下  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70_pic_center 1]

#### 5.2.4 查看文件 ####

*  Java代码如下
    
        // 查看文件
            @Test
            public void cat() throws Exception { 
                Path path = new Path("/ruochen/test1/xixi.txt");
                FSDataInputStream inputStream = fileSystem.open(path);
                IOUtils.copyBytes(inputStream, System.out, 1024);
                inputStream.close();
            }
 *  运行结果  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70_pic_center 2]

#### 5.2.5 上传文件 ####

*  Java 代码如下
    
        // 上传文件
            @Test
            public void upload() throws Exception { 
                Path localPath = new Path("cifar-10-python.tar.gz");
                Path hdfsPath = new Path("/");
                fileSystem.copyFromLocalFile(localPath, hdfsPath);
            }
 *  运行完成后，我们可以看到 hdfs 已经成功显示刚才上传的文件  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 7]

#### 5.2.6 下载文件 ####

*  Java 代码
    
        // 下载文件
            @Test
            public void download() throws Exception { 
                Path hdfsPath = new Path("/hadoop-2.6.0-cdh5.7.0.tar.gz");
                Path localPath = new Path("./down/hadoop-2.6.0-cdh5.7.0.tar.gz");
                fileSystem.copyToLocalFile(false, hdfsPath, localPath, true);
            }
 *  运行完后我们可以看到当前目录 down 下已经有了刚刚下载的文件  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 8]  
    ![在这里插入图片描述][20210610183654170.png]

## 6. Java 实现 WordCount ##

> 这里要注意在 `main` 下操作，`test`下是用来测试的

*  新建一个 `WordCountApp` 类  
    ![在这里插入图片描述][20210610205242390.png]
 *  Java 代码如下
    
        package com.neusoft;
        
        import org.apache.hadoop.conf.Configuration;
        import org.apache.hadoop.fs.FileSystem;
        import org.apache.hadoop.fs.Path;
        import org.apache.hadoop.io.LongWritable;
        import org.apache.hadoop.io.Text;
        import org.apache.hadoop.mapreduce.Job;
        import org.apache.hadoop.mapreduce.Mapper;
        import org.apache.hadoop.mapreduce.Reducer;
        import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
        import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
        
        import java.io.IOException;
        
        /** * 词频统计 */
        public class WordCountApp { 
            /** * map 阶段 */
            public static class MyMapper extends Mapper<LongWritable, Text, Text, LongWritable> { 
                LongWritable one = new LongWritable(1);
        
                @Override
                protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException { 
                    // 分
                    String line = value.toString();
                    // 拆分
                    String[] s = line.split(" ");
                    for (String word : s) { 
                        // 输出
                        context.write(new Text(word), one);
                    }
                }
            }
        
            /** * reduce 阶段 */
            public static class MyReducer extends Reducer<Text, LongWritable, Text, LongWritable> { 
                @Override
                protected void reduce(Text key, Iterable<LongWritable> values, Context context) throws IOException, InterruptedException { 
                    long sum = 0;
                    // 合并统计
                    for (LongWritable value : values) { 
                        // 求和
                        sum += value.get();
                    }
                    context.write(key, new LongWritable(sum));
                }
            }
        
            public static void main(String[] args) throws Exception { 
                Configuration configuration = new Configuration();
                Job job = Job.getInstance(configuration, "wordcount");
                job.setJarByClass(WordCountApp.class);
        
                // 设置 map 相关参数
                FileInputFormat.setInputPaths(job, new Path(args[0]));
                job.setMapperClass(MyMapper.class);
                job.setMapOutputKeyClass(Text.class);
                job.setMapOutputValueClass(LongWritable.class);
        
                // 设置 reduce 相关参数
                job.setReducerClass(MyReducer.class);
                job.setOutputKeyClass(MyReducer.class);
                job.setOutputValueClass(LongWritable.class);
        
                Path outPath = new Path(args[1]);
                FileSystem fileSystem = FileSystem.get(configuration);
                if (fileSystem.exists(outPath)) { 
                    // 删除文件
                    fileSystem.delete(outPath, true);
                    System.out.println("输出路径已存在, 已被删除");
                }
                FileOutputFormat.setOutputPath(job, outPath);
        
                // 控制台输出详细信息
                // 输出：1 不输出：0
                System.exit(job.waitForCompletion(true) ? 0 : 1);
            }
        }
 *  打包程序  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 9]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 10]
 *  打包完成后，将 jar 包上传到 hadoop 虚拟机  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 11]  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 12]
 *  首先通过shell命令将输出文件夹删除，不然重复执行会报错
    
        hadoop fs -rm -r /output/wc
 *  然后执行下列操作
    
        hadoop jar hadoopdemo-1.0-SNAPSHOT.jar com.neusoft.WordCountApp hdfs://hadoop000:8020/ruochenchen.txt hdfs://hadoop000:8020/output/wc
    
    > hadoop jar hadoopdemo-1.0-SNAPSHOT.jar com.neusoft.WordCountApp `输入文件` `输出文件`
    
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 13]
 *  然后我们可以看到作业中有显示  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 14]
 *  通过 `cat` 命令可以查看一下输出的文件  
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 15]
    
        hadoop fs -cat /output/wc/part-r-00000
    
    ![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70 16]

[IDEA2020.3.3]: http://ruochen.net.cn:8080/IDEA/IntelliJ%20IDEA%202020.3.3
[jdk18]: http://ruochen.net.cn:8080/JDK/jdk1.8
[20210608191922479.png]: /images/20221005/76c7e8d0c53944ea935550c88c99b7d2.png
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzI5MzM5NDY3_size_16_color_FFFFFF_t_70]: /images/20221005/00e032e73ede46f0ae91189851904386.png
[20210608190336738.png]: /images/20221005/e6974a5ea6ae48bda2124c1c81edb8b6.png
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