【发布时间】：2017-04-21 12:04:16
【问题描述】：
我有以下包含文档计数的集合 除法 - 30，
类别 - 248
产品组 - 1402
产品 - 60000
例如我给出了下面的数据 分工
{
"divisionid": "1",
"divisioncode": "0",
"divisionname": "ELECTRONICS/HOME APPLIANCE",
"divisionpoint": "2"
},
{
"divisionid": "2",
"divisioncode": "1",
"divisionname": "FOODS",
"divisionpoint": "8"
}
分类收集数据的
{
"categoryid": "1",
"divisionid": "1",
"categorycode": "34",
"categoryname": "AUDIO SYSTEM",
"categorypoint": "Null"
},
{
"categoryid": "2",
"divisionid": "1",
"categorycode": "348",
"categoryname": "DVD/VCD",
"categorypoint": "8"
}
productgroup 集合数据的
{
"productgroupid": "1",
"divisionid": "1",
"categoryid": "1",
"productgroupname": "ADAPTOR",
"productgroupcode": "6765",
"productgrouppoint": "7"
},
{
"productgroupid": "2",
"divisionid": "1",
"categoryid": "2",
"productgroupname": "WALKMAN",
"productgroupcode": "7659",
"productgrouppoint": "Null"
}
产品集合数据的
{
"productid": "1",
"divisionid": "1",
"categoryid": "1",
"productgroupid":"1",
"productname":"UNIVERSAL AC DC ADAPTER-PCS",
"productcode": "1000054",
"productpoint": "1"
},
{
"productid": "2",
"divisionid": "1",
"categoryid": "2",
"productgroupid":"2",
"productname":"WALKMAN WM#M470-PCS",
"productcode": "1000089",
"productpoint": "2"
}
我有 4 个类似的收藏
师，
类别，
产品组，
产品
这些都是我的数据，存储在我的部门集合数据的集合中
{
"divisionid": "1",
"divisioncode": "0",
"divisionname": "ELECTRONICS/HOME APPLIANCE",
"divisionpoint": "2"
}, {
"divisionid": "2",
"divisioncode": "1",
"divisionname": "FOODS",
"divisionpoint": "8"
} 类别收集数据的
{
"categoryid": "1",
"divisionid": "1",
"categorycode": "34",
"categoryname": "AUDIO SYSTEM",
"categorypoint": "Null"
}, {
"categoryid": "2",
"divisionid": "1",
"categorycode": "348",
"categoryname": "DVD/VCD",
"categorypoint": "8"
} productgroup 收集数据的
{
"productgroupid": "1",
"divisionid": "1",
"categoryid": "1",
"productgroupname": "ADAPTOR",
"productgroupcode": "6765",
"productgrouppoint": "7"
}, {
"productgroupid": "2",
"divisionid": "1",
"categoryid": "2",
"productgroupname": "WALKMAN",
"productgroupcode": "7659",
"productgrouppoint": "Null"
} 产品收集数据的
{
"productid": "1",
"divisionid": "1",
"categoryid": "1",
"productgroupid":"1",
"productname":"UNIVERSAL AC DC ADAPTER-PCS",
"productcode": "1000054",
"productpoint": "1"
}, {
"productid": "2",
"divisionid": "1",
"categoryid": "2",
"productgroupid":"2",
"productname":"WALKMAN WM#M470-PCS",
"productcode": "1000089",
"productpoint": "2"
} 我想将这 4 个集合合并为一个集合。 我应该得到这样的总结 产品总结
{
"productpoint": "1",
"productname": "UNIVERSAL AC DC ADAPTER-PCS",
"productcode": "10000054",
"productid" :"1"
"group": {
"point": "7",
"name": "ADAPTOR",
"id" :"1"
},
"category": {
"point": "0",
"name": "AUDIO SYSTEM",
"id" :"1"
},
"division": {
"point": "2",
"name": "ELECTRONICS/HOME APPLIANCE",
"id" :"1"
}
},
{
"productpoint": "2",
"productname": "WALKMAN WM#M470-PCS",
"productcode": "1000089",
"productid" :"2"
"group": {
"point": "7",
"name": "WALKMAN",
"id" :"Null"
},
"category": {
"point": "8",
"name": "DVD/VCD",
"id" :"2"
},
"division": {
"point": "2",
"name": "ELECTRONICS/HOME APPLIANCE",
"id" :"1"
}
}
我运行这段代码
db.products.aggregate([
{$lookup:{from:"productgroups", localField:"productgroupid", foreignField:"productgroupid", as:"group"}},
{$lookup:{from:"category", localField:"categoryid", foreignField:"categoryid", as:"category"}},
{$lookup:{from:"divisions", localField:"divisionid", foreignField:"divisionid", as:"division"}},
{$project: {productpoint:1,productname:1,productcode:1,productid:1,group: { $arrayElemAt: [ "$group", 0 ]},
category: { $arrayElemAt: [ "$category", 0 ]}, division: { $arrayElemAt: [ "$division", 0 ]} }}
]);
它可以工作，但当时我有 60 k 产品它不工作并且出现像这样的错误
数据会像这样存储在 productpointallocations 中
{
"productpoint": "2",
"productname": "WALKMAN WM#M470-PCS",
"productcode": "1000089",
"productid" :"2"
}
有没有其他方法可以做到这一点并为此提供一些其他解决方案
nodejs mongodb中还有其他选项吗？
【问题讨论】：
标签： node.js mongodb express lookup