[英]Hadoop Map Reduce Query
我試圖使用HADOOP MadReduce計算圖中每個節點的所有傳入邊的權重之和。輸入采用.tsv格式,看起來像:
安全重量
X 102 1
X 200 1
X 123 5
Y 245 1
Y 101 1
Z 99 2
X 145 3
Y 24 1
A 21 5
。 。 。
。 。 。
預期的輸出是:
src SUM(重量)
X 10
Y 3
Z 2
A 5
。 。
。 。
我使用了hadoop( http://www.cloudera.com/content/cloudera/en/documentation/hadoop-tutorial/CDH5/Hadoop-Tutorial/ht_wordcount1_source.html?scroll=topic_5_1 )中的WordCount示例代碼作為參考。 我試圖操縱代碼,但所有的努力都以徒勞告終。
我對JAVA和HADOOP很陌生。 我已經分享了我的代碼。 請幫助我弄清楚代碼有什么問題。
謝謝。
碼:
import java.io.IOException;
import java.util.*;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.conf.*;
import org.apache.hadoop.io.*;
import org.apache.hadoop.mapred.*;
import org.apache.hadoop.util.*;
public class Task1 {
public static class Map extends MapReduceBase implements Mapper<LongWritable, Text, Text, IntWritable> {
private final static IntWritable value_parsed = new IntWritable();
private Text word = new Text();
public void map(LongWritable key, Text value, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
String line = value.toString();
StringTokenizer tokenizer = new StringTokenizer(line);
Text keys = new Text();
int sum;
while(tokenizer.hasMoreTokens())
{
tokenizer.nextToken();
keys.set(tokenizer.nextToken());
sum = Integer.parseInt(tokenizer.nextToken());
output.collect(keys, new IntWritable(sum));
}
}
}
public static class Reduce extends MapReduceBase implements Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterator<IntWritable> values, OutputCollector<Text, IntWritable> output, Reporter reporter) throws IOException {
int sum = 0;
while (values.hasNext()) {
sum += values.next().get();
}
output.collect(key, new IntWritable(sum));
}
}
public static void main(String[] args) throws Exception {
JobConf conf = new JobConf(Task1.class);
conf.setJobName("Task1");
conf.setOutputKeyClass(Text.class);
conf.setOutputValueClass(IntWritable.class);
conf.setMapperClass(Map.class);
conf.setCombinerClass(Reduce.class);
conf.setReducerClass(Reduce.class);
conf.setInputFormat(TextInputFormat.class);
conf.setOutputFormat(TextOutputFormat.class);
FileInputFormat.setInputPaths(conf, new Path(args[0]));
FileOutputFormat.setOutputPath(conf, new Path(args[1]));
JobClient.runJob(conf);
}
}
您必須稍微更改代碼。
while (tokenizer.hasMoreTokens()) {
tokenizer.nextToken(); // this value is of first column
keys.set(tokenizer.nextToken()); // this is wrong --you have to set
// first column as key not
// second column
sum = Integer.parseInt(tokenizer.nextToken()); // here
// third column
output.collect(keys, new IntWritable(sum));
}
希望這可以幫助您
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