windows本地运行hadoop的MapReduce程序

女爷i 2022-04-17 04:37 360阅读 0赞

1.下载hadoo安装到windows本地

地址 [https://archive.apache.org/dist/hadoop/core/hadoop-2.6.0/hadoop-2.6.0.tar.gz][https_archive.apache.org_dist_hadoop_core_hadoop-2.6.0_hadoop-2.6.0.tar.gz]

2. 解压之后进行设置环境变量

新建  HADOOP\_HOME     D:\\software\\hadoop-2.6.0

Path中增加   %HADOOP\_HOME%\\bin 和   %HADOOP\_HOME%\\sbin

3.范例代码

项目结构

![watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpYW9iYW81MjE0_size_16_color_FFFFFF_t_70][]

pom.xml

<?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.xiaobao</groupId>
    	<artifactId>hadooptest</artifactId>
    	<version>0.0.1-SNAPSHOT</version>
    	<packaging>jar</packaging>
    
    
    	<dependencies>
    		<dependency>
    			<groupId>org.apache.hadoop</groupId>
    			<artifactId>hadoop-client</artifactId>
    			<version>2.6.0</version>
    		</dependency>
    	</dependencies>
    
    
    </project>

log4j.properties

log4j.rootLogger = debug,stdout
    
    log4j.appender.stdout = org.apache.log4j.ConsoleAppender
    log4j.appender.stdout.Target = System.out
    log4j.appender.stdout.layout = org.apache.log4j.PatternLayout
    log4j.appender.stdout.layout.ConversionPattern = [%-5p] %d{yyyy-MM-dd HH:mm:ss,SSS} method:%l%n%m%n

## ##

WordCountMapper.java

package com.xiaobao.wordcount;
    
    import org.apache.hadoop.io.IntWritable;
    import org.apache.hadoop.io.LongWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Mapper;
    
    import java.io.IOException;
    
    public class WordCountMapper extends Mapper<LongWritable, Text, Text, IntWritable> {
    
        @Override
        protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
    
            String[] words = value.toString().split("\\s+");
    
            for (String word : words) {
                context.write(new Text(word), new IntWritable(1));
            }
        }
    }

WordCountReducer.java

package com.xiaobao.wordcount;
    
    import org.apache.hadoop.io.IntWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Reducer;
    
    import java.io.IOException;
    
    public class WordCountReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
    
        @Override
        protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable value : values) {
                sum += value.get();
            }
            context.write(new Text(key), new IntWritable(sum));
        }
    }

RunJob.java

package com.xiaobao.wordcount;
    
    
    import org.apache.hadoop.conf.Configuration;
    import org.apache.hadoop.fs.FileSystem;
    import org.apache.hadoop.fs.Path;
    import org.apache.hadoop.io.IntWritable;
    import org.apache.hadoop.io.Text;
    import org.apache.hadoop.mapreduce.Job;
    import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
    import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
    
    public class RunJob {
    
        public static void main(String[] args) throws Exception {
    
            Configuration configuration = new Configuration();
    
            FileSystem fs = FileSystem.get(configuration);
    
            Job job = Job.getInstance(configuration);
            job.setJarByClass(RunJob.class);
            job.setJobName("wordCount");
    
            job.setMapperClass(WordCountMapper.class);
            job.setReducerClass(WordCountReducer.class);
    
            job.setMapOutputKeyClass(Text.class);
            job.setMapOutputValueClass(IntWritable.class);
    
            FileInputFormat.addInputPath(job, new Path("/wordcount/input"));
            Path outPath = new Path("/wordcount/output");
            if (fs.exists(outPath)) {
                fs.delete(outPath, true);
            }
            FileOutputFormat.setOutputPath(job, outPath);
    
            boolean completion = job.waitForCompletion(true);
            if (completion) {
                System.out.println("执行完成");
            }
    
    
        }
    }

4. 然后在项目的根目录下创建    D:\\wordcount\\input  和  D:\\wordcount\\output文件夹input 文件夹中放入 words.txt内容为

hello world
    hello hadoop
    hadoop yes
    hadoop no

5. 然后启动RunJob的main方法，会出现报错

[ERROR] 2018-11-13 10:12:43,981 method:org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:373)
    Failed to locate the winutils binary in the hadoop binary path
    java.io.IOException: Could not locate executable null\bin\winutils.exe in the Hadoop binaries.
    	at org.apache.hadoop.util.Shell.getQualifiedBinPath(Shell.java:355)
    	at org.apache.hadoop.util.Shell.getWinUtilsPath(Shell.java:370)
    	at org.apache.hadoop.util.Shell.<clinit>(Shell.java:363)
    	at org.apache.hadoop.util.StringUtils.<clinit>(StringUtils.java:79)
    	at org.apache.hadoop.security.Groups.parseStaticMapping(Groups.java:104)
    	at org.apache.hadoop.security.Groups.<init>(Groups.java:86)
    	at org.apache.hadoop.security.Groups.<init>(Groups.java:66)
    	at org.apache.hadoop.security.Groups.getUserToGroupsMappingService(Groups.java:280)
    	at org.apache.hadoop.security.UserGroupInformation.initialize(UserGroupInformation.java:271)
    	at org.apache.hadoop.security.UserGroupInformation.ensureInitialized(UserGroupInformation.java:248)
    	at org.apache.hadoop.security.UserGroupInformation.loginUserFromSubject(UserGroupInformation.java:763)
    	at org.apache.hadoop.security.UserGroupInformation.getLoginUser(UserGroupInformation.java:748)
    	at org.apache.hadoop.security.UserGroupInformation.getCurrentUser(UserGroupInformation.java:621)
    	at org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:2753)
    	at org.apache.hadoop.fs.FileSystem$Cache$Key.<init>(FileSystem.java:2745)
    	at org.apache.hadoop.fs.FileSystem$Cache.get(FileSystem.java:2611)
    	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:370)
    	at org.apache.hadoop.fs.FileSystem.get(FileSystem.java:169)
    	at com.xiaobao.wordcount.RunJob.main(RunJob.java:24)

5.看日志的错误信息是没有winutils.exe这个文件，需要下载winutils.exe文件，注意要和自己hadoop版本一致，否则还是报错

下载地址: [https://github.com/steveloughran/winutils][https_github.com_steveloughran_winutils] 从github下载下来压缩包，将对应版本的bin下的文件拷贝并替换自己本         地的hadoop的bin目录中文件

6. 继续运行main方法，执行成功

此时  D:\\wordcount\\output 文件夹中出现执行完成的文件\_SUCCESS  和 part-r-00000 等文件， \_SUCCESS  代表执行成功，  part-r-00000中存单词统计的结果

hadoop	3
    hello	2
    no	1
    world	1
    yes	1

[https_archive.apache.org_dist_hadoop_core_hadoop-2.6.0_hadoop-2.6.0.tar.gz]: https://archive.apache.org/dist/hadoop/core/hadoop-2.6.0/hadoop-2.6.0.tar.gz
[watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3hpYW9iYW81MjE0_size_16_color_FFFFFF_t_70]: /images/20220417/a50c870456dd4fc09a3fa7e65004bdc5.png
[https_github.com_steveloughran_winutils]: https://github.com/steveloughran/winutils