映射减少筛选器记录

我有一组只需要处理男性记录的记录，在map reduce程序中，我使用if条件只过滤男性记录。但下面的程序给出了零记录作为输出。

输入文件：

1，布兰登·巴克纳，阿维尔，女，525
2，韦达·霍普金斯，阿维尔，男，633
3，Zia Underwood，扑热息痛，男性，980
4，Austin Mayer，扑热息痛，女性，338
5，马拉·希金斯，阿维尔，女，153
6，Sybill Crosby，阿维尔，男，193
7，Tyler Rosales，扑热息痛，男性，778
8，Ivan Hale，阿维尔，女，454
9，Alika Gilmore，扑热息痛，女性，833
10，Len Burgess，metacin，男性，325

Mapreduce程序：

package org.samples.mapreduce.training;
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

public class patientrxMR_filter {
    public static class MapDemohadoop extends
            Mapper<LongWritable, Text, Text, IntWritable> {
        // setup , map, run, cleanup
        public void map(LongWritable key, Text value, Context context)
                throws IOException, InterruptedException {
            String line = value.toString();
            String[] elements = line.split(",");

String gender =elements[3];

if ( gender == "male" ) {
    Text tx = new Text(elements[2]);
                int i = Integer.parseInt(elements[4]);
                IntWritable it = new IntWritable(i);
                context.write(tx, it);
}
        }
    }
    public static class Reduce extends
            Reducer<Text, IntWritable, Text, IntWritable> {
        // setup, reduce, run, cleanup
        // innput - para [150,100]
        public void reduce(Text key, Iterable<IntWritable> values,
                Context context) throws IOException, InterruptedException {
            int sum = 0;
            for (IntWritable val : values) {
                sum += val.get();
            }
            context.write(key, new IntWritable(sum));
        }
    }
    public static void main(String[] args) throws Exception {
        if (args.length != 2) {
            System.err.println("Insufficient args");
            System.exit(-1);
        }
        Configuration conf = new Configuration();
        //conf.set("fs.default.name","hdfs://localhost:50000");
        conf.set("mapred.job.tracker", "hdfs://localhost:50001");
//      conf.set("DrugName", args[3]);
        Job job = new Job(conf, "Drug Amount Spent");
        job.setJarByClass(patientrxMR_filter.class); // class conmtains mapper and
                                                // reducer class
        job.setMapOutputKeyClass(Text.class); // map output key class
        job.setMapOutputValueClass(IntWritable.class);// map output value class
        job.setOutputKeyClass(Text.class); // output key type in reducer
        job.setOutputValueClass(IntWritable.class);// output value type in
                                                    // reducer
        job.setMapperClass(MapDemohadoop.class);
        job.setReducerClass(Reduce.class);
        job.setNumReduceTasks(1);
        job.setInputFormatClass(TextInputFormat.class); // default -- inputkey
                                                        // type -- longwritable
                                                        // : valuetype is text
        job.setOutputFormatClass(TextOutputFormat.class);

        FileInputFormat.addInputPath(job, new Path(args[0]));
        FileOutputFormat.setOutputPath(job, new Path(args[1]));
        job.waitForCompletion(true);
    }
}

if ( gender == "male" ) 

i.e 
if ( gender.equals("male") )

public void map(LongWritable key, Text value, Context context)
throws IOException, InterruptedException {
String line = value.toString();
String[] elements = line.split(",");