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num.txt在此博客中:https://blog.csdn.net/qq_41479464/article/details/101922339
使用MR的处理方式,去除num.txt中以2开头的数字,并且统计每个数字出现的次数将结果保存为num2.txt(10分)
主函数:
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
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 MapReduceNum {
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
Configuration conf = new Configuration();
Job job = Job.getInstance(conf,MapReduceNum.class.getSimpleName());
job.setJarByClass(MapReduceNum.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
job.setMapperClass(MyMap.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(IntWritable.class);
job.setReducerClass(MyRed.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(LongWritable.class);
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.waitForCompletion(true);
}
}
Map函数:
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Mapper;
public class MyMap extends Mapper<LongWritable, Text, Text, IntWritable>{
@Override
protected void map(LongWritable key, Text value, Mapper<LongWritable, Text, Text, IntWritable>.Context context)
throws IOException, InterruptedException {
String line[] = value.toString().split(",");
for (String string : line) {
if(!string.startsWith("2"));
context.write(new Text(string),new IntWritable(1));
}
}
}
Reduce函数:
import java.io.IOException;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
public class MyRed extends Reducer<Text, IntWritable, Text, LongWritable> {
@Override
protected void reduce(Text key, Iterable<IntWritable> values,
Reducer<Text, IntWritable, Text, LongWritable>.Context context) throws IOException, InterruptedException {
long count = 0l;
for (IntWritable val : values) {
count = count +val.get();
}
//将结果输出,输出到hdfs上
context.write(new Text(key), new LongWritable(count));
}
}