mr中获取输入文件路径

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import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.MRJobConfig;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
public class MergeDaysMapper extends Mapper<LongWritable, Text, Text, Text> {
private String inputFile = null;
public void setup(Context context)
{
System.err.println("[STARTS TO GET PARAMETERS OF THIS JOB]");
Path input = ((FileSplit)context.getInputSplit()).getPath();
inputFile = input.toString();
System.err.println("Input: "+ input.toString());
System.out.println("Input: "+ input.getName());
System.out.println("MAP_INPUT_FILE: " + MRJobConfig.MAP_INPUT_FILE);
System.out.println("MAP_INPUT_PATH:"+ MRJobConfig.MAP_INPUT_PATH);
System.out.println("MAP_INPUT_START:"+ MRJobConfig.MAP_INPUT_START);
System.err.println("JOB_NAME" + MRJobConfig.JOB_NAME);
System.out.println("[FINISHED GETTING PARAMETERS OF THIS JOB]");
}
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException
{
if (null == inputFile)
context.write(new Text("key"), new Text("inputFile"));
else
context.write(new Text("key"), new Text(inputFile));
}
}