我用了一个projection首先在总量链提取月度和年度值,之后做了分组:
<doc-name>.aggregate([
{ $project:
{ _id: 1,
year: { $year: "$date" },
month: { $month: "$date"},
amount: 1
}
},
{ $group:
{ _id: { year: "$year", month: "$month" },
sum: { $sum: "$amount" }
}
}])
我也与你的模型的尝试:
var testSchema = mongoose.Schema({
store_id: { type: String },
strBillNumber: { type: String },
strBillDate: { type: Date },
strBillAmt: { type: Number }
});
var Test = mongoose.model("Test", testSchema);
创建一些测试数据:
var test = new Test({
store_id: "1",
strBillNumber: "123",
strBillDate: new Date("2016-04-02"),
strBillAmt: 25
});
var test2 = new Test({
store_id: "1",
strBillNumber: "124",
strBillDate: new Date("2016-04-01"),
strBillAmt: 41
});
var test3 = new Test({
store_id: "3",
strBillNumber: "125",
strBillDate: new Date("2016-05-13"),
strBillAmt: 77
});
运行查询:
Test.aggregate([
{ $project:
{ store_id: 1,
yearBillDate: { $year: "$strBillDate" },
monthBillDate: { $month: "$strBillDate" },
strBillAmt: 1
}
},
{ $group:
{ _id: {yearBillDate: "$yearBillDate", monthBillDate:"$monthBillDate"},
sum: { $sum: "$strBillAmt" }
}
}
], function(err, result) {
console.log(err, result)});
,并得到一个合理的结果:
显示你的数据库结构。 – Shrabanee
store_id:{type:String},strBillNumber:{type:String},strBillDate:{type:Date},strBillAmt:{type:Number}, –