这篇文章主要介绍Hadoop如何实现求平均成绩,文中介绍的非常详细,具有一定的参考价值,感兴趣的小伙伴们一定要看完!
//思路根据hadoop原理归并相同人名,以人名为key,以各科成绩为value容器元素,计算容器值的和,除以科目数。 public class AverageScore { public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{ private Text word = new Text(); public void map(Object key, Text value, Context context) throws IOException, InterruptedException { //按照行分割 StringTokenizer line = new StringTokenizer(value.toString(),"\n"); while (line.hasMoreElements()) { //按照空格分割 StringTokenizer lineBlock = new StringTokenizer(line.nextToken()); String stuName = lineBlock.nextToken(); int stuScore = Integer.parseInt(lineBlock.nextToken()); word.set(stuName); context.write(word, new IntWritable(stuScore)); } } }
public static class IntSumReducer extends Reducer<Text,IntWritable,Text,IntWritable> { private IntWritable result = new IntWritable();
public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { int sum = 0; int count =0; while(values.iterator().hasNext()){ sum+=values.iterator().next().get(); count++; } int average = sum/count; result.set(average); 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 <in> <out>"); System.exit(2); } Job job = new Job(conf, "word count"); job.setJarByClass(AverageScore.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, new Path(otherArgs[0])); FileOutputFormat.setOutputPath(job, new Path(otherArgs[1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }
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