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Hadoop概述/MapReduce/实例/SingleWordCount

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2023-12-01
		
package com.run.ayena.distributed.test;
import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.hadoop.conf.Configuration;
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.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
//统计文本中指定某个单词出现的次数
public class SingleWordCount {
	public static class SingleWordCountMapper extends
			Mapper {
		private final static IntWritable one = new IntWritable(1);
		private Text val = new Text();
		public void map(Object key, Text value, Context context)
				throws IOException, InterruptedException {
			StringTokenizer itr = new StringTokenizer(value.toString());
			String keyword = context.getConfiguration().get("word");
			while (itr.hasMoreTokens()) {
				String nextkey = itr.nextToken();
				if (nextkey.trim().equals(keyword)) {
					val.set(itr.nextToken());
					context.write(val, one);
				} else {
					// do nothing
				}
			}
		}
	}
	public static class SingleWordCountReducer extends
			Reducer {
		private IntWritable result = new IntWritable();
		public void reduce(Text key, Iterable values,
				Context context) throws IOException, InterruptedException {
			int sum = 0;
			for (IntWritable val : values) {
				sum += val.get();
			}
			result.set(sum);
			context.write(key, result);
		}
	}
	public static void main(String[] args) throws Exception {
		Configuration conf = new Configuration();
		String[] otherArgs = new GenericOptionsParser(conf, args)
				.getRemainingArgs();
		if (otherArgs.length != 2) {
			System.err.println("Usage: wordcount  ");
			System.exit(2);
		}
		// 输入指定的单词
		conf.set("word", otherArgs[2]);
		// 指定系统路
		conf.set("mapred.system.dir", "/hadoopdata/mapred/system");
		// 设置运行的job名称
		Job job = new Job(conf, "word count");
		// 设置运行的job类
		job.setJarByClass(SingleWordCount.class);
		// 设置Mapper
		job.setMapperClass(SingleWordCountMapper.class);
		// 设置本地聚合类,该例本地聚合类同Reduer类
		job.setCombinerClass(SingleWordCountReducer.class);
		// 设置Reduer
		job.setReducerClass(SingleWordCountReducer.class);
		// 设置Map的输出
		job.setMapOutputKeyClass(Text.class);
		job.setMapOutputValueClass(IntWritable.class);
		// 设置Reducer输出的key类型
		job.setOutputKeyClass(Text.class);
		// 设置Reducer输出的value类型
		job.setOutputValueClass(IntWritable.class);
		// 设置输入和输出的目录
		FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
		FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
		// 执行,直到结束就退出
		System.exit(job.waitForCompletion(true) ? 0 : 1);
	}
}