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P1Q2.java
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P1Q2.java
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package org.p7h.udacityhadoop.p1;
import java.io.IOException;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.DoubleWritable;
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;
/**
* Find the monetary value for the highest individual sale for each separate store.
* Format of each line is:
* date\ttime\tstore name\titem description\tcost\tmethod of payment
*/
public final class P1Q2 {
public final static void main(final String[] args) throws Exception {
final Configuration conf = new Configuration();
final Job job = new Job(conf, "P1Q2");
job.setJarByClass(P1Q2.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(DoubleWritable.class);
job.setMapperClass(P1Q2Map.class);
job.setCombinerClass(P1Q2Reduce.class);
job.setReducerClass(P1Q2Reduce.class);
job.setInputFormatClass(TextInputFormat.class);
job.setOutputFormatClass(TextOutputFormat.class);
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.waitForCompletion(true);
}
public static final class P1Q2Map extends Mapper<LongWritable, Text, Text, DoubleWritable> {
private final Text word = new Text();
public final void map(final LongWritable key, final Text value, final Context context)
throws IOException, InterruptedException {
final String line = value.toString();
final String[] data = line.trim().split("\t");
if (data.length == 6) {
final String product = data[2];
final double sales = Double.parseDouble(data[4]);
word.set(product);
context.write(word, new DoubleWritable(sales));
}
}
}
public static final class P1Q2Reduce extends Reducer<Text, DoubleWritable, Text, DoubleWritable> {
public final void reduce(final Text key, final Iterable<DoubleWritable> values, final Context context)
throws IOException, InterruptedException {
double highestSale = 0.0;
double currentSale;
for (DoubleWritable val : values) {
currentSale = val.get();
if (highestSale < currentSale) {
highestSale = currentSale;
}
}
context.write(key, new DoubleWritable(highestSale));
}
}
}