我有一个MapReduce
程序
public static class MapClass extends MapReduceBase implements Mapper<Text, Text, IntWritable, IntWritable> {
private final static IntWritable uno = new IntWritable(1);
private IntWritable citationCount = new IntWritable();
public void map(Text key, Text value, OutputCollector<IntWritable, IntWritable> output, Reporter reporter) throws IOException {
citationCount.set(Integer.parseInt(value.toString()));
output.collect(citationCount, uno);
}
}
public static class Reduce extends MapReduceBase implements Reducer<IntWritable, IntWritable, IntWritable, IntWritable> {
public void reduce(IntWritable key, Iterator<IntWritable> values, OutputCollector<IntWritable, IntWritable> output, Reporter reporter) throws IOException {
int count = 0;
while (values.hasNext()) {
count += values.next().get();
}
output.collect(key, new IntWritable(count));
}
}
我想运行仅 map
任务,其输出应为<number, 1>
格式
当我从命令行运行时,我说
$ hadoop jar Hadoop-programs.jar com/hadoop/patent/CitationHistogram input output -Dmapred.reduce.tasks=0
但这是我在命令行输出中看到的
12/07/30 06:13:14 INFO mapred.JobClient: map 50% reduce 0%
12/07/30 06:13:23 INFO mapred.JobClient: map 58% reduce 0%
12/07/30 06:13:26 INFO mapred.JobClient: map 60% reduce 8%
12/07/30 06:13:29 INFO mapred.JobClient: map 68% reduce 8%
12/07/30 06:13:32 INFO mapred.JobClient: map 76% reduce 8%
12/07/30 06:13:35 INFO mapred.JobClient: map 85% reduce 16%
12/07/30 06:13:38 INFO mapred.JobClient: map 93% reduce 16%
12/07/30 06:13:41 INFO mapred.JobClient: map 98% reduce 16%
12/07/30 06:13:44 INFO mapred.JobClient: map 100% reduce 16%
12/07/30 06:13:55 INFO mapred.JobClient: map 100% reduce 69%
12/07/30 06:13:58 INFO mapred.JobClient: map 100% reduce 78%
12/07/30 06:14:01 INFO mapred.JobClient: map 100% reduce 94%
12/07/30 06:14:08 INFO mapred.JobClient: map 100% reduce 100%
当我看到作业的输出时,我看到像
这样的条目1 2
13 2
24 1
29 1
31 2
42 3
6796 7
6799 1
6806 1
6815 1
6824 2
这意味着数据正在聚合
我怎么能不运行reducer?
答案 0 :(得分:2)
只有在你实现ToolRunner.run方法并在main方法中传递参数时,这才有效。
ToolRunner.run(new Configuration(), new YourClasImplmentingToolRunner(), args);
如果您不想尝试设置
job.setNumReduceTasks(0);
或另一个选项是在conf中设置值并在作业中使用该配置。
Configuration conf = new Configuration();
conf.set("mapred.reduce.tasks", "0");
Job job = new Job(conf, "My job Name");
答案 1 :(得分:0)
在-D选项后面添加一个空格,它应该可以工作;)
hadoop jar Hadoop-programs.jar com/hadoop/patent/CitationHistogram input output -D mapred.reduce.tasks=0