大数据系列hadoop——MapReduce实例——单词计数

客官°小女子只卖身不卖艺 2022-05-17 08:54 177阅读 0赞

**目录**

一、简介

二、思路

三、实现

--------------------

# 一、简介 #

这个应该是mapReduce里面最简单，也是所有人写的第一个例子吧。

# 二、思路 #

map阶段，分词，把每个词作为key，value为1

reduce阶段，把每个词的value相加

# 三、实现 #

@Slf4j
    public class WordCountJob {
    
    	/**
    	 * 
    	 * @param args 0|profile;1|input;2|output;3|master-ip;4|operator;5|homeDir
    	 * @throws Exception
    	 */
    	public static void main(String[] args) throws Exception {
    		
    		Configuration config = JobUtil.init(args);
    		
    		Job job = Job.getInstance(config);
    		
    		job.setJarByClass(WordCountJob.class);
    		job.setJobName("wordCount");
    		
    		Path inputPath = new Path(args[1]);
    		FileInputFormat.addInputPath(job, inputPath);
    		
    		Path outputPath = new Path(args[2]);
    		if(outputPath.getFileSystem(config).exists(outputPath)) {
    			outputPath.getFileSystem(config).delete(outputPath, true);
    		}
    		FileOutputFormat.setOutputPath(job, outputPath);
    		
    		job.setMapperClass(WordCountMapper.class);
    		job.setOutputKeyClass(Text.class);
    		job.setOutputValueClass(IntWritable.class);
    		job.setNumReduceTasks(1);
    		job.setReducerClass(WordCountReducer.class);
    		
    		boolean isSuccess = job.waitForCompletion(true);
    		log.info("isSuccess:" + isSuccess);
    		System.exit(isSuccess ? 0 : 1);
    		
    	}
    	
    }

@Slf4j
    public class WordCountMapper extends Mapper<Object, Text, Text, IntWritable> {
    
    	private final static IntWritable one = new IntWritable(1);
    	private Text word = new Text();
    	
    	@Override
    	public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
    		log.info("key:" + key + ",value:" + value);
    		StringTokenizer itr = new StringTokenizer(value.toString());
    		while(itr.hasMoreElements()) {
    			String wordStr = itr.nextToken();
    			log.info("word:" + wordStr);
    			word.set(wordStr);
    			context.write(word, one);
    		}
    	}
    	
    }

@Slf4j
    public class WordCountReducer extends Reducer<Text, IntWritable, Text, IntWritable> {
    
    	private IntWritable result = new IntWritable();
    	
    	@Override
    	public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
    		log.info("key:" + key);
    		int sum = 0;
    		for(IntWritable value : values) {
    			log.info("value:" + value);
    			sum = sum + value.get();
    		}		
    		result.set(sum);
    		context.write(key, result);
    	}
    	
    }

[https://github.com/wulinfeng2/hadoopDemo][https_github.com_wulinfeng2_hadoopDemo]

[https_github.com_wulinfeng2_hadoopDemo]: https://github.com/wulinfeng2/hadoopDemo