Mongodb mongo db映射将总和结果缩减为整数

我的收藏好像是这样的

{
"bet_session_id": ObjectId("51a60cba6ef215d019000299"),
"date": ISODate("2013-05-29T14:13:14.572Z"),
"player_items": [
{
  "chip": NumberInt(1),
  "item": "x14",
  "ratio": NumberInt(35),
  "total_win": NumberInt(0)
},
{
  "chip": NumberInt(1),
  "item": "x15",
  "ratio": NumberInt(35),
  "total_win": NumberInt(36)
},
{
  "chip": NumberInt(1),
  "item": "121511141013",
  "ratio": NumberInt(5),
  "total_win": NumberInt(6)
},
],
"user_id": "7876010",
}
,
{
"bet_session_id": ObjectId("51a60cba6ef215d019000299"),
"date": ISODate("2013-05-29T14:13:14.572Z"),
"player_items": [
{
  "chip": NumberInt(1),
  "item": "x14",
  "ratio": NumberInt(35),
  "total_win": NumberInt(0)
},
{
  "chip": NumberInt(1),
  "item": "x15",
  "ratio": NumberInt(35),
  "total_win": NumberInt(36)
},
{
  "chip": NumberInt(1),
  "item": "121511141013",
  "ratio": NumberInt(5),
  "total_win": NumberInt(6)
},
{
  "chip": NumberInt(1),
  "item": "12151114",
  "ratio": NumberInt(8),
  "total_win": NumberInt(9)
},
{
  "chip": NumberInt(1),
  "item": "1514",
  "ratio": NumberInt(17),
  "total_win": NumberInt(18)
},
{
  "chip": NumberInt(1),
  "item": "1215",
  "ratio": NumberInt(17),
  "total_win": NumberInt(18)
},
{
  "chip": NumberInt(1),
  "item": "151814171316",
  "ratio": NumberInt(5),
  "total_win": NumberInt(6)
},
{
  "chip": NumberInt(1),
  "item": "151413",
  "ratio": NumberInt(11),
  "total_win": NumberInt(12)
},
{
  "chip": NumberInt(1),
  "item": "15181417",
  "ratio": NumberInt(8),
  "total_win": NumberInt(9)
}
],
"user_id": "9034906623",
}

使用上述数据 我需要计算玩家的总胜利

我的map reduce函数如下所示：

var mapBetPlayWinStats = function() { 
for (i=0; i<this.player_items.length; i++ ) emit( this.player_items[i].item, this.player_items[i].total_win )};

var reduceBetPlayWinStats = "function(item,values) { var sum = 0; sum += values; return sum; }"

db.bet_results.mapReduce(mapBetPlayWinStats, reduceBetPlayWinStats, {out: "bet_number_play_win_stats"});

RESULTS:
{
"_id": "red",
"value": "20,50,20,NumberLong(20),NumberLong(20),100" 
}
{
"_id": "odd",
"value": "NumberLong(0),NumberLong(0)" 
}
{
"_id": "even",
"value": "0,20,NumberLong(20),NumberLong(20)" 
}

var mappetplaywinstats=function（）{
对于（i=0；i而言，以下对我有效：

在映射函数中，将发射更改为

emit( this.player_items[i].item, NumberInt(this.player_items[i].total_win) )};

在您的账户中，将变更金额减少为：

var sum = NumberInt(0);

现在测试它：

> db.bet_number_play_win_stats.find({value:{$type:16}})
{ "_id" : "121511141013", "value" : 6 }
{ "_id" : "x14", "value" : 0 }
{ "_id" : "x15", "value" : 36 }
Fetched 3 record(s) in 1ms

16（十六进制10）是最简单的

如果要聚合的项目数量不太多，我建议您使用聚合框架：

> var r=db.bet_results.aggregate( [
             {$unwind : "$player_items"}, 
             {$group: { _id:"$player_items.item", 
                        wins:{$sum:"$player_items.total_win"}
                      }
              }
 ] )
> db.bet_number_play_win_agg.save(r.result)
Inserted 1 record(s) in 7ms
> > db.bet_number_play_win_agg.find({wins:{$type:16}})
{ "_id" : "121511141013", "wins" : 6 }
{ "_id" : "x15", "wins" : 36 }
{ "_id" : "x14", "wins" : 0 }
Fetched 3 record(s) in 1ms

相同的结果，类型保留，速度也更快。
我不确定我是否理解，你的结果中的“红色”、“奇数”和“偶数”来自哪里？你想要的结果是什么？按项目分组的总赢款？我猜这些都是OP的原始数据集？反正这是我的猜测-跟踪下注+“红色”、“奇数”、“偶数”==>轮盘赌？：）@Joackim，item可以是“item”：“x14”或“item”：“red”并不重要，这只是一个示例。我需要按项分组。谢谢：）聚合ok，但map reduce仍然无法正常工作。这是NumberRint（）解决方案的结果。结果{“\u id”：“x1”，“value”：NumberRint（0）}{“\u id”：“x0”，“value”：“00,0”}{“\u id”：“red，“value”：“00,0,20,50,20,20,20100,0,20,20,20,0,0,20100”}这是因为您的reduce函数不正确。您将值添加到sum中，但值是一个数组-您需要将其中的所有内容添加到一起（并添加到sum中）。