我有一个我想要映射的集合,按ID和日期缩小,以生成商店和在线销售产品的图表。为每个事务创建一个新对象,因此我希望将它们减少到给定日期的总计数。对象看起来像这样:
object
{
"ProductID": 1
"Purchase Method": In Store
"Date": 2018-01-16
"Count": 5
}
我想要实现的输出是将商店和在线购买合并为一个对象,其中一个键是id和日期,然后值是每个方法的计数,如下所示:
ProductID: 1
Date: 2018-01-16
[
{Name: "In store", Count: 3}
{Name: "Online", Count: 2}
]
我当前的方法是通过Id,date和Purchase Method映射对象,因此reduce将使用该方法获取该日期该id的总计数,但这会导致id和date有两个条目, 1个用于商店,1个用于在线。这是我职能的当前状态:
var mapDailySales = function() {
var sale = this;
/*Converts timestamp to just date */
var pad = function pad(n, width, z) {
z = z || '0';
n = n + '';
return n.length >= width ? n : new Array(width - n.length + 1).join(z) + n;
};
var d = sale.Date;
var date = d.getFullYear() + "-" + pad(d.getMonth() + 1, 2, 0) + "-" + pad(d.getDate(), 2, 0);
emit({ProductId: sale.ProductID, Date:date, Method: sale.PurchaseMethod},
{Name: sale.PurchaseMethod, Count: 1})
};
var reduceDailySales = function(key, value) {
var res = {Name: 0, Count: 0};
value.forEach(function(value){
res.Name = value.Name;
res.Count += value.Count;
});
return res;
};
Current Output看起来像这样:
{
"_id" : {
"ProductId" : 1,
"Date" : "2018-01-16",
"Method" : "Online"
},
"value" : {
"Name" : "Online",
"Count" : 3
}
}
有没有办法实现我想要的输出而不会在当前输出上再次减少地图?
答案 0 :(得分:1)
您可以使用聚合管道来获取结果,而不是mapReduce,$group
按产品ID和日期,$project
您可以将计数映射到数组
添加$out
将结果写入新集合,删除它将返回游标
db.prod.aggregate([
{$group : {
_id : {ProductID : "$ProductID", Date : "$Date"},
onlineCount : {$sum : {$cond : [{$eq : ["$PurchaseMethod", "Online"]}, "$Count" , 0]}},
storeCount : {$sum : {$cond : [{$eq : ["$PurchaseMethod", "In Store"]}, "$Count" , 0]}}
}
},
{$project : {
_id : 0,
ProductID : "$_id.ProductID",
Date : "$_id.Date",
counts : [{Name: "In Store", Count: "$storeCount"},{Name : "Online", Count: "$onlineCount"}]
}},
{$out : "count_stats"}
]).pretty()
集合
> db.prod.find()
{ "_id" : ObjectId("5a98ce4a62f54862fc7cd1f5"), "ProductID" : 1, "PurchaseMethod" : "In Store", "Date" : "2018-01-16", "Count" : 5 }
{ "_id" : ObjectId("5a98ce4a62f54862fc7cd1f6"), "ProductID" : 1, "PurchaseMethod" : "Online", "Date" : "2018-01-16", "Count" : 2 }
>
结果
> db.count_stats.find()
{ "_id" : ObjectId("5a98d3366a5f43b12a39b4ac"), "ProductID" : 1, "Date" : "2018-01-16", "counts" : [ { "Name" : "In Store", "Count" : 5 }, { "Name" : "Online", "Count" : 2 } ] }
>
如果您想使用mapReduce
,可以使用finalize来进一步缩小或转换结果
db.prod.mapReduce(
<map>,
<reduce>,
{
out: <collection>,
finalize: <function>
}
)