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我的输出是:
文字,文件----- ------wordx Doc2, Doc1, Doc1, Doc1, Doc1, Doc1, Doc1, Doc1
我想要的是:
文字,文件----- ------wordx Doc2, Doc1
public static class LineIndexMapper extends MapReduceBase
implements Mapper<LongWritable, Text, Text, Text> {
private final static Text word = new Text();
private final static Text location = new Text();
public void map(LongWritable key, Text val,
OutputCollector<Text, Text> output, Reporter reporter)
throws IOException {
FileSplit fileSplit = (FileSplit) reporter.getInputSplit();
String fileName = fileSplit.getPath().getName();
location.set(fileName);
String line = val.toString();
StringTokenizer itr = new StringTokenizer(line.toLowerCase());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
output.collect(word, location);
}
}
}
public static class LineIndexReducer extends MapReduceBase
implements Reducer<Text, Text, Text, Text> {
public void reduce(Text key, Iterator<Text> values,
OutputCollector<Text, Text> output, Reporter reporter)
throws IOException {
boolean first = true;
StringBuilder toReturn = new StringBuilder();
while (values.hasNext()) {
if (!first) {
toReturn.append(", ");
}
first = false;
toReturn.append(values.next().toString());
}
output.collect(key, new Text(toReturn.toString()));
}
}
为了获得最佳性能 - 我应该在哪里跳过重复出现的文件名? map ,减少或两者兼而有之?ps:我是写MR任务的初学者,也在尝试用我的问题弄清楚编程逻辑。
最佳答案
您将只能删除 Reducer 中的重复项。为此,您可以使用不允许重复的集合。
public void reduce(Text key, Iterator<Text> values,
OutputCollector<Text, Text> output, Reporter reporter)
throws IOException {
// Text's equals() method should be overloaded to make this work
Set<Text> outputValues = new HashSet<Text>();
while (values.hasNext()) {
// make a new Object because Hadoop may mess with original
Text value = new Text(values.next());
// takes care of removing duplicates
outputValues.add(value);
}
boolean first = true;
StringBuilder toReturn = new StringBuilder();
Iterator<Text> outputIter = outputValues.iter();
while (outputIter.hasNext()) {
if (!first) {
toReturn.append(", ");
}
first = false;
toReturn.append(outputIter.next().toString());
}
output.collect(key, new Text(toReturn.toString()));
}
编辑:根据 Chris 的评论将值的副本添加到 Set。
关于没有重复文件名的hadoop倒排索引,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/10305435/
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