用Java编写Mapreduce程序将这些时间戳按升序进行排序，同时转换成对应的date时间。 例如： 1100186731 1100185961 排序转换后： 1100185961, Thu Nov 11 23:12:41 CST 2004 1100186731, Thu Nov 11 23:25:31 CST 2004

以下是Java编写的MapReduce程序，可以实现对给定时间戳的排序和转换：

import java.io.IOException;
import java.text.SimpleDateFormat;
import java.util.Date;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;

public class TimeStampSorter {

    public static class Map extends Mapper<LongWritable, Text, LongWritable, Text> {
        
        private Text valueText = new Text();
        private LongWritable timeStamp = new LongWritable();
        
        public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
            String[] line = value.toString().split("\\s+");
            Long timeStampValue = Long.parseLong(line[0]);
            timeStamp.set(timeStampValue);
            valueText.set(line[1]);
            context.write(timeStamp, valueText);
        }
    }

    public static class Reduce extends Reducer<LongWritable, Text, LongWritable, Text> {
        
        public void reduce(LongWritable key, Iterable<Text> values, Context context) throws IOException, InterruptedException {
            for (Text value : values) {
                SimpleDateFormat formatter = new SimpleDateFormat("EEE MMM dd HH:mm:ss zzz yyyy");
                String dateString = formatter.format(new Date(key.get() * 1000));
                context.write(key, new Text(dateString + ", " + value.toString()));
            }
        }
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        Job job = Job.getInstance(conf, "Time Stamp Sorter");
        job.setJarByClass(TimeStampSorter.class);
        job.setMapperClass(Map.class);
        job.setReducerClass(Reduce.class);
        job.setOutputKeyClass(LongWritable.class);
        job.setOutputValueClass(Text.class);
        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }
}

在这个程序中，Map函数将时间戳作为键，数据作为值进行存储，Reduce函数将键值对按照时间戳进行排序，并使用SimpleDateFormat类将时间戳转换为需要的日期格式字符串。最后，将转换后的结果输出到文件中。