使用mapreduce作业后，以下是输出：

User16565   Logins: 1   Orders:1
User16566   Logins: 2   Orders:2
User16567   Logins: 1   Orders:1

一切看起来都很好，但是当日志文件有成千上万个条目时，它就没有什么帮助了。有没有办法把我的代码改成“登录”和“订单”的总和，这样我就可以计算出两者之间的差异？
编辑：新问题
日志示例：

2013-01-01T08:48:09.009+0100,feature:login,-,User73511,-,-,-,-
2013-01-01T03:58:05.005+0100,feature:order-created,-,User73511,-,-,-,-
2013-01-01T01:26:30.030+0100,feature:login,-,User14253,-,-,-,-
2013-01-01T19:45:01.001+0100,feature:order-created,-,User73511,-,-,-,-

我在代码中发现了一个错误。我意识到登录和订单数不正确。起初看起来输出是正确的，但是当我手动检查登录和订单时，我意识到有一个错误。输出：

User73511   Logins: 3   Orders:2
User14253   Logins: 1   Orders:1

应该是：

User73511   Logins: 1   Orders:2
User14253   Logins: 1   Orders:0

以下是全部代码：

public class UserOrderCount {

    public static class SingleUserMapper extends
            Mapper<LongWritable, Text, Text, CountInformationTuple> {

        private Text outUserId = new Text();
        private CountInformationTuple outCountOrder = new CountInformationTuple();

        @Override
        public void map(LongWritable key, Text value, Context context)
                throws IOException, InterruptedException {

            String tempString = value.toString();
            String[] singleUserData = tempString.split(",");
            String userId = singleUserData[3];
            String featureId = singleUserData[1];

        if (featureId.contains("feature:order-created")) {
                outCountOrder.setCountOrder(1);
        }
        if (featureId.contains("feature:login")) {
                outCountOrder.setCountLogin(1);
        }

            outUserId.set(userId);
            context.write(outUserId, outCountOrder);
        }
    }

    public static class SingleUserReducer extends
            Reducer<Text, CountInformationTuple, Text, CountInformationTuple> {

        private CountInformationTuple result = new CountInformationTuple();

        public void reduce(Text key, Iterable<CountInformationTuple> values,
                Context context) throws IOException, InterruptedException {

            int login = 0;
            int order = 0;

            for (CountInformationTuple val : values) {
                login += val.getCountLogin();
                order += val.getCountOrder();
            }

            result.setCountLogin(login);
            result.setCountOrder(order);

            context.write(key, result);
        }
    }

    public static void main(String[] args) throws Exception {
        Configuration conf = new Configuration();
        String[] otherArgs = new GenericOptionsParser(conf, args)
                .getRemainingArgs();
        if (otherArgs.length != 2) {
            System.err.println("Usage: UserOrderCount <in> <out>");
            System.exit(2);
        }

        Job job = new Job(conf);
        job.setJobName("UserOrderCount");
        job.setJarByClass(UserOrderCount.class);

        job.setMapperClass(SingleUserMapper.class);
        job.setCombinerClass(SingleUserReducer.class);
        job.setReducerClass(SingleUserReducer.class);

        job.setOutputKeyClass(Text.class);
        job.setOutputValueClass(CountInformationTuple.class);

        FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
        FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
        System.exit(job.waitForCompletion(true) ? 0 : 1);
    }

    public static class CountInformationTuple implements Writable {
        private int countOrder = 0;
        private int countLogin = 0;

        public int getCountOrder() {
            return countOrder;
        }

        public void setCountOrder(int order) {
            this.countOrder = order;
        }

        public int getCountLogin() {
            return countLogin;
        }

        public void setCountLogin(int login) {
            this.countLogin = login;
        }

        @Override
        public void readFields(DataInput in) throws IOException {
            countOrder = in.readInt();
            countLogin = in.readInt();

        }

        @Override
        public void write(DataOutput out) throws IOException {
            out.writeInt(countLogin);
            out.writeInt(countOrder);

        }

        @Override
        public String toString() {
            return "Logins: "+ countLogin + "\t" + "Orders:" + countOrder;
        }
    }
}