如何解决猫鼬-如何返回两个不同事物的计数?
我对MongoDB和Mongoose非常陌生,似乎发现自己需要立即进行相当复杂的查询。我的架构如下。
const gameSchema = new mongoose.Schema({
_winnerId: {
type: mongoose.Schema.Types.ObjectId,required: true,ref: 'User',},_loserId: {
type: mongoose.Schema.Types.ObjectId,winnerWords: [String],loserWords: [String],});
我正在尝试获取给定用户ID的赢/输比率。不知何故,我需要计算userid作为_winnerId出现的次数和userid作为_loserId出现的次数。可以通过单个查询完成吗?
解决方法
仅使用两个并发查询可能会更有性能,因为这样的计算非常简单,并且可以轻松索引赢家/输家字段。但是,我很好奇如何实现。可以这样完成:https://mongoplayground.net/p/JbBCzyln9o6
db.collection.aggregate([
// Combine the user _ids
{$group: {
_id: ["$_loserId","$_winnerId"],// Track the amount of times user X lost to user Y
times: {$sum: 1}
}},// Seperate the user _ids
// Track whether the user won by setting field 'lostWon': 0 if they lost 1 if they won
{$unwind: {
path: "$_id",includeArrayIndex: "lostWon"
}},// Create a group for each user _id,user the 'lostWon' field to sum the totals
{$group: {
_id: "$_id",lost: {
$sum: {
$multiply: [
"$times",{$cond: [{$eq: ["$lostWon",0]},1,0]} // Important: swaps the values
]
}
},won: {
$sum: {
$multiply: [
"$times",1]},0]} // This line is reduntant,but make query more understandable
]
}
},}},// Divide the ratio,if $lost is 0 use the won field value to avoid infinity
{$addFields: {
ratio: {
$cond: [
{$eq: ["$lost","$won",{$divide: ["$won","$lost"]}
]
}
}}
])
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