我最近安装了新的hadoop2.2。我以前写过一个简单的单词计数mapreduce程序,它可以在cdh4上轻松地工作。但现在,我对所有这些都有问题 org.apache.hadoop.mapreduce
进口。有人能告诉我到底要导出哪个jar来修复这些导入吗?代码如下,以防有人需要指出我需要做的更改,以确保它在hadoop2.2中运行。
import java.io.IOException;
import java.lang.InterruptedException;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
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.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
public class MapRWordCount {
private final static IntWritable ONE = new IntWritable(1);
private final static Pattern WORD = Pattern.compile("\\w+");
public static class WordCountMapper
extends Mapper<LongWritable, Text, Text, IntWritable> {
private final Text word = new Text();
@Override
public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String valueString = value.toString();
Matcher matcher = WORD.matcher(valueString);
while (matcher.find()) {
word.set(matcher.group().toLowerCase());
context.write(word, ONE);
}
}
}
public static class WordCountReducer
extends Reducer<Text, IntWritable, Text, IntWritable> {
private final IntWritable totalCount = new IntWritable();
@Override
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable value : values) {
sum += value.get();
}
totalCount.set(sum);
context.write(key, totalCount);
}
}
public static void main(String[] args)
throws IOException, ClassNotFoundException, InterruptedException {
if (args.length != 2) {
System.err.println("Usage: MapRWordCount <input_path> <output_path>");
System.exit(-1);
}
Job job = new Job();
job.setJarByClass(MapRWordCount.class);
job.setJobName("MapReduce Word Count");
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setMapperClass(WordCountMapper.class);
job.setCombinerClass(WordCountReducer.class);
job.setReducerClass(WordCountReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
4条答案
按热度按时间brjng4g31#
使用此链接可以找到所需的jar文件
下载它们,右击你的项目进入构建路径>配置构建路径>添加外部jar
bksxznpy2#
在maven中,我必须将以下内容添加到pom.xml中,然后以干净的方式构建,以便能够在java中找到mapper和reducer类:
现在,请不要抛出以下错误:
bfrts1fy3#
我在以下地点找到了jar:
rpppsulh4#
如果您只是在hadoop2.2中寻找适当jar的位置,那么请查看下面的
share/hadoop/{common,hdfs,mapreduce}
. 你会发现文件以-2.2.0.jar
这很可能就是你要找的。这应该与cdh4中的相同,除非您安装了与hadoop1.x结构匹配的“mr1”版本。