package MovieCount;
import Use.Rates.UserRateTopN;
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.output.FileOutputFormat;
import org.codehaus.jackson.map.ObjectMapper;
import java.io.IOException;
import java.util.Comparator;
import java.util.Map;
import java.util.TreeMap;
public class RateHotn {
public static class RateHotMap extends Mapper<LongWritable, Text,Text, IntWritable>{
//ObjectMapper是Jackson提供的一个类,作用是将java对象与json格式相互转化
//ObjectMapper 通过 writeValue 系列方法 将 java 对 象序列化 为 json,并 将 json 存 储成不同的格式,String(writeValueAsString),Byte Array(writeValueAsString),Writer, File,OutStream 和 DataOutput。
//ObjectMapper 通过 readValue 系列方法从不同的数据源像 String , Byte Array, Reader,File,URL, InputStream 将 json 反序列化为 java 对象。
ObjectMapper objectMapper = new ObjectMapper();
@Override
protected void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
String line = value.toString();
UserRateTopN userRateTopN = objectMapper.readValue(line, UserRateTopN.class);
String movie = userRateTopN.getMovie();
context.write(new Text(movie),new IntWritable(1));
}
}
public static class RateHotnReduce extends Reducer<Text,IntWritable,Text,IntWritable>{
TreeMap<IntWritable,Text>map;
@Override
protected void setup(Context context) throws IOException, InterruptedException {
map = new TreeMap<>(new Comparator<IntWritable>(){
@Override
public int compare(IntWritable o1, IntWritable o2) {
return o2.compareTo(o1);
}
});
}
@Override
protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
Integer count = 0;
for(IntWritable value:values){
count = count + value.get();
}
map.put(new IntWritable(count),new Text(key));
}
@Override
protected void cleanup(Context context) throws IOException, InterruptedException {
Configuration conf = context.getConfiguration();
int suibian = conf.getInt("suibian",3);
for(int i = 0;i<suibian;i++){
Map.Entry<IntWritable,Text> entry = map.pollFirstEntry();
IntWritable count = entry.getKey();
Text movie = entry.getValue();
context.write(movie,count);
}
}
}
public static void main(String[] args) throws IOException, ClassNotFoundException, InterruptedException {
Configuration conf = new Configuration();
conf.setInt("suibian",Integer.parseInt(args[0]));
Job job = Job.getInstance(conf);
job.setCombinerClass(RateHotnCombiner.class);
job.setJarByClass(RateHotn.class);
job.setMapperClass(RateHotMap.class);
job.setReducerClass(RateHotnReduce.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.setInputPaths(job,new Path(""));
FileOutputFormat.setOutputPath(job,new Path(""));
boolean b = job.waitForCompletion(true);
System.exit(b?0:1);
}
}
package MovieCount;
import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.mapreduce.Reducer;
import java.io.IOException;
public class RateHotnCombiner extends Reducer<Text, IntWritable,Text,IntWritable> {
@Override
protected void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException {
Integer count = 0;
for(IntWritable value:values){
count ++;
}
context.write(key,new IntWritable(count));
}
}
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