我正在尝试使用java中的hadoop mapreduce编程来计算文件中特定字的出现次数。文件和单词都应该是用户输入。所以我试图将特定的单词作为第三个参数与i / p和o / p路径(In,Out,Word)一起传递。但是我无法找到将这个词传递给地图功能的方法。 我尝试了以下方法,但它不起作用: - 在mapper类中创建了一个静态String变量,并为其分配了我的第三个参数(即要搜索的单词)的值。然后尝试在map函数中使用这个静态变量。但是在map函数中,静态变量值为Null。 我无法在地图功能中获得第三个arument的值。
无论如何通过JobConf对象设置值?请帮忙。我在下面粘贴了我的代码。
public class MyWordCount {
public static class MyWordCountMap extends Mapper < Text, Text, Text, LongWritable > {
static String wordToSearch;
private final static LongWritable ONE = new LongWritable(1L);
private Text word = new Text();
public void map(Text key, Text value, Context context)
throws IOException, InterruptedException {
System.out.println(wordToSearch); // Here the value is coming as Null
if (value.toString().compareTo(wordToSearch) == 0) {
context.write(word, ONE);
}
}
}
public static class SumReduce extends Reducer < Text, LongWritable, Text, LongWritable > {
public void reduce(Text key, Iterator < LongWritable > values,
Context context) throws IOException, InterruptedException {
long sum = 0L;
while (values.hasNext()) {
sum += values.next().get();
}
context.write(key, new LongWritable(sum));
}
}
public static void main(String[] rawArgs) throws Exception {
GenericOptionsParser parser = new GenericOptionsParser(rawArgs);
Configuration conf = parser.getConfiguration();
String[] args = parser.getRemainingArgs();
Job job = new Job(conf, "wordcount");
job.setJarByClass(MyWordCountMap.class);
job.setMapOutputKeyClass(Text.class);
job.setMapOutputValueClass(LongWritable.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(LongWritable.class);
job.setMapperClass(MyWordCountMap.class);
job.setReducerClass(SumReduce.class);
job.setInputFormatClass(SequenceFileInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
String MyWord = args[2];
MyWordCountMap.wordToSearch = MyWord;
job.waitForCompletion(true);
}
}
答案 0 :(得分:4)
有一种方法可以使用Configuration
执行此操作(请参阅api here)。例如,可以使用以下代码将“Tree”设置为要搜索的单词:
//Create a new configuration
Configuration conf = new Configuration();
//Set the work to be searched
conf.set("wordToSearch", "Tree");
//create the job
Job job = new Job(conf);
然后,在mapper / reducer类中,您可以使用以下代码获取wordToSearch
(即本例中的“Tree”):
//Create a new configuration
Configuration conf = context.getConfiguration();
//retrieve the wordToSearch variable
String wordToSearch = conf.get("wordToSearch");
有关详细信息,请参阅here。