首先我使用Windows XP 32位操作系统,MongoDB作为NoSQL DB和Eclipse作为编辑器程序。我从我的学校得到了关于MapReduce的任务,因此我决定使用mapreduce查找多少工作年龄和非工作人口。我用这个代码来输入数据,并保存为Insert.java:我在MongoDB中使用MapReduce时遇到了错误
package mongox;
import com.mongodb.BasicDBObject;
import com.mongodb.Mongo;
import com.mongodb.DB;
import com.mongodb.DBCollection;
public class Insert {
public static void main(String[] args) {
try{
Mongo mongox = new Mongo();
DB db = mongox.getDB("DBPublic");
DBCollection koleksi = db.getCollection("lancestorvalley");
BasicDBObject object = new BasicDBObject();
object = new BasicDBObject();
object.put("NIK", "7586930211");
object.put("Name", "Richard Bou");
object.put("Sex", "M");
object.put("Age", "31");
object.put("Blood", "A");
object.put("Status", "Married");
object.put("Education", "Bachelor degree");
object.put("Employment", "Labor");
koleksi.insert(object);
}
catch(Exception e){
System.out.println(e.toString());
}
}
}
我使用此代码为MapReduce和保存为Mapreduce.java:
package mongox;
import com.mongodb.DB;
import com.mongodb.DBCollection;
import com.mongodb.DBObject;
import com.mongodb.MapReduceCommand;
import com.mongodb.MapReduceOutput;
import com.mongodb.Mongo;
public class Mapreduce {
public static void main(String[] args) {
try{
Mongo mongox = new Mongo("localhost", 27017);
DB db = mongox.getDB("DBPublic");
DBCollection koleksi = db.getCollection("lancestorvalley");
String map = "function() { "+
"var category; " +
"if (this.Age >= 15 && this.Age <=59) "+
"category = 'Working-Age Population'; " +
"else " +
"category = 'Non-Working-Age Population'; "+
"emit(category, {Nama: this.Nama});}";
String reduce = "function(key, values) { " +
"var sum = 0; " +
"values.forEach(function(doc) { " +
"sum += 1; "+
"}); " +
"return {data: sum};} ";
MapReduceCommand cmd = new MapReduceCommand(koleksi, map, reduce,
null, MapReduceCommand.OutputType.INLINE, null);
MapReduceOutput out = koleksi.mapReduce(cmd);
for (DBObject o : out.results()) {
System.out.println(o.toString());
}
}
catch(Exception e){
e.printStackTrace();;
}
}
}
我已经输入5000个数据,当我运行Mapreduce.java的输出是:
{ "_id" : "Non-Working-age population" , "value" : { "data" : 41.0}}
{ "_id" : "Working-age Population" , "value" : { "data" : 60.0}}
我的代码在Mapreduce.java中有什么问题吗?为什么输出结果只有数据大约是5000? 希望有人能帮助我,谢谢面前的家伙
这会更好用聚合完成。查看[reduce function requirements](http://docs.mongodb.org/manual/reference/command/mapReduce/#mapreduce-reduce-cmd)。 Map/reduce可以在同一个键上多次运行reduce函数,并且需要一个数组作为值。 – wdberkeley 2014-09-15 15:49:00