我得到这个错误:方法:
addInputPath(Job, Path, Class<? extends InputFormat>, Class<? extends Mapper>)
在类型中 MultipleInputs
不适用于参数 (JobConf, Path, Class<TextInputFormat>, Class<App.MapClass>)
对于以下代码:
MultipleInputs.addInputPath(job, in, TextInputFormat.class, MapClass.class);
/* ------------------------ */
package hadoop.mi4;
/**
* Hello world!
*
*/
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.mapred.TextInputFormat;
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.input.MultipleInputs;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.util.GenericOptionsParser;
public class App {
public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable>{
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(Object key, Text value, Context context ) throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
}
}
}
public static class TokenizerMapper1 extends Mapper<Object, Text, Text, IntWritable>{
private final static IntWritable one = new IntWritable(1);
private Text word = new Text();
public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
context.write(word, one);
}
}
}
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;
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: App <in> <out>");
System.exit(2);
}
Job job = new Job(conf, "word count");
job.setJarByClass(App.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]));
MultipleInputs.addInputPath(job, new Path(otherArgs[0]), TextInputFormat.class, TokenizerMapper.class);
MultipleInputs.addInputPath(job, new Path(otherArgs[1]), TextInputFormat.class, TokenizerMapper1.class);
FileOutputFormat.setOutputPath(job, new Path(otherArgs[2]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
2条答案
按热度按时间uttx8gqw1#
这不管用,因为你把学校的课程搞混了
mapred
与mapreduce
. 替换以下导入具有
k2fxgqgv2#
它看起来像你的
job
变量的类型为JobConf
但它应该是一个Job
. 你应该试试你也应该检查一下
MapClass
延伸Mapper
.