Question

首先我使用OS Windows XP 32位，MongoDB作为NoSQL DB和Eclipse作为编辑程序。我从学校获得了关于MapReduce的任务，因此我决定使用mapreduce查找有多少工作年龄和非工作人口。我使用此代码输入数据并另存为Insert.java：

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());
    } 
 } 
}

我将此代码用于MapReduce并另存为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();; 
    }
    }
  }

我已输入5000个数据，当我运行Mapreduce.java时，输出为：

  { "_id" : "Non-Working-age population" , "value" : { "data" : 41.0}}
  { "_id" : "Working-age Population" , "value" : { "data" : 60.0}}

Mapreduce.java中的代码有问题吗？为什么输出只是这样，而数据大约是5000？希望有人可以帮助我，谢谢你们之前

Answer 1

MongoDB文档明确说明了以下内容，这可能是导致意外行为的原因：

Platform Support

Starting in version 2.2, MongoDB does not support Windows XP. Please use a more recent version of Windows to use more recent releases of MongoDB.

此外：

MongoDB for Windows 32-bit runs on any 32-bit version of Windows newer than Windows XP. 32-bit versions of MongoDB are only intended for older systems and for use in testing and development systems. 32-bit versions of MongoDB only support databases smaller than 2GB.

我在MongoDB中使用MapReduce时遇到错误

1 个答案: