我在写MapReduce算法。
在我的代码中 reduce(Text key, Iterable<String> values, Context context)
方法未调用。在它上面我有 @Override
给出错误: Method does not override method from its superclass
.
这是我的密码:
package WordCountP;
import java.io.FileReader;
import java.io.IOException;
import java.util.Iterator;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.IntWritable;
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.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.json.simple.JSONArray;
import org.json.simple.JSONObject;
import org.json.simple.parser.JSONParser;
import org.json.simple.parser.ParseException;
public class popularity extends Configured implements Tool{
public class PopularityMapper extends Mapper<Text, Text, Text, Text> {
@Override
protected void map(Text key, Text value,
Context context)
throws IOException, InterruptedException {
JSONParser jsonParser = new JSONParser();
try {
JSONObject jsonobject = (JSONObject) jsonParser.parse(new FileReader("src\\testinput.json"));
JSONArray jsonArray = (JSONArray) jsonobject.get("votes");
Iterator<JSONObject> iterator = jsonArray.iterator();
while(iterator.hasNext()) {
JSONObject obj = iterator.next();
String song_id_rave_id = (String) obj.get("song_ID") + "|" + (String) obj.get("rave_ID");
String preference = (String) obj.get("preference");
System.out.println(song_id_rave_id + "||" + preference);
context.write(new Text(song_id_rave_id), new Text(preference));
}
}catch(ParseException e) {
e.printStackTrace();
}
}
}
public class PopularityReducer extends Reducer<Text, Iterable<String>, Text, Text> {
@Override
protected void reduce(Text key, Iterable<String> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for ( String val: values){
if (val == "true"){
sum +=1;
}
else if (val == "false"){
sum -=1;
}
}
String result = Integer.toString(sum);
context.write(new Text(key), new Text(result));
}
}
public static void main(String[] args) throws Exception{
int exitCode = ToolRunner.run(new popularity(), args);
System.exit(exitCode);
}
public int run(String[] args) throws Exception {
if (args.length != 2) {
System.err.printf("Usage: %s [generic options] <input> <output>\n",
getClass().getSimpleName());
ToolRunner.printGenericCommandUsage(System.err);
return -1;
}
Job job = new org.apache.hadoop.mapreduce.Job();
job.setJarByClass(popularity.class);
job.setJobName("PopularityCounter");
FileInputFormat.addInputPath(job, new Path(args[0]));
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
job.setOutputFormatClass(TextOutputFormat.class);
job.setMapperClass(PopularityMapper.class);
job.setReducerClass(PopularityReducer.class);
int returnValue = job.waitForCompletion(true) ? 0:1;
System.out.println("job.isSuccessful " + job.isSuccessful());
return returnValue;
}
}
我试过用r大写来命名( Reduce()
)但也没用。我假设给这个方法的参数有错误,但是我没有发现任何问题。。。有什么想法吗?
第二,有没有什么方法可以将输出格式设置为 .txt
文件?
仅供参考,我的输入json代码是
{"votes":[{
"song_ID": "Piece of your heart",
"mbr_ID": "001",
"preference": "true",
"timestamp": "11:22:33",
"rave_ID": "rave001",
},
{
"song_ID": "Piece of your heart",
"mbr_ID": "002",
"preference": "true",
"timestamp": "11:22:33",
"rave_ID": "rave001",
},
{
"song_ID": "Atje voor de sfeer",
"mbr_ID": "001",
"preference": "false",
"timestamp": "11:44:33",
"rave_ID": "rave001",
},
{
"song_ID": "Atje voor de sfeer",
"mbr_ID": "002",
"preference": "false",
"timestamp": "11:44:33",
"rave_ID": "rave001",
},
{
"song_ID": "Atje voor de sfeer",
"mbr_ID": "003",
"preference": "true",
"timestamp": "11:44:33",
"rave_ID": "rave001",
}]
}
提前谢谢!
2条答案
按热度按时间xmq68pz91#
ioexception和interruptedexception都被检查,因此reduce方法不会被重写。
类reducer中的reduce方法不会引发任何异常,因此您不能声明子类中的reduce方法会引发任何选中的异常,但它可以引发未选中的异常。
您可能希望在reduce方法中处理异常。
aemubtdh2#
最后我们选择了mongobd mapreduce。
hadoop太费劲了。
谢谢!