如何在MongoDB上使用CREATE，PUT和DELETE请求优化性能？

Question

我有一个名为“评论”的数据库，大小为9.7GB。它的集合名称为products。通过运行命令READ，我能够使用索引技术优化db.products.ensureIndex({product_name: 1});请求。在MongoDB终端中运行以下命令db.products.find({product_name:"nobis"}).explain("executionStats");时，它表明我的执行时间从28334ms减少到3301ms。

我有以下两个问题：

1]如何在explain("executionStats");，CREATE和PUT请求上使用DELETE？例如，当我尝试使用以下插入函数时出现以下错误[thread1] TypeError: db.products.insert(...).explain is not a function] >

db.products.insert({"product_id": 10000002,"product_name": "tissue","review": [{"review_id": 30000001,"user": {"user_id": 30000001,"firstname": "Peter","lastname": "Chen","gender": "Male","nickname": "Superman","email": "[email protected]","password": "123"},"opinion": "It's good","text": "It's bad","rating_overall": 3,"doesRecommended": true,"rating_size": "a size too big","rating_width": "Slightly wide","rating_comfort": "Uncomfortable","rating_quality": "What I expected","isHelpful": 23,"isNotHelpful": 17,"created_at": "2007-10-19T09:03:29.967Z","review_photo_path": [{"review_photo_id": 60000001,"review_photo_url": "https://sdcuserphotos.s3.us-west-1.amazonaws.com/741.jpg"}, {"review_photo_id": 60000002,"review_photo_url": "https://sdcuserphotos.s3.us-west-1.amazonaws.com/741.jpg"}]}, {"review_id": 30000002,"user": {"user_id": 30000002,"firstname": "Peter","lastname": "Chen","gender": "Male","nickname": "Superman","email": "[email protected]","password": "123"},"opinion": "It's good","text": "It's bad","rating_overall": 3,"doesRecommended": true,"rating_size": "a size too big","rating_width": "Slightly wide","rating_comfort": "Uncomfortable","rating_quality": "What I expected","isHelpful": 23,"isNotHelpful": 17,"created_at": "2007-10-19T09:03:29.967Z","review_photo_path": [{"review_photo_id": 60000003,"review_photo_url": "https://sdcuserphotos.s3.us-west-1.amazonaws.com/741.jpg"}]}]}).explain("executionStats");
2）是否可以针对CREATE，PUT和DELETE请求使用任何性能优化方法？

例如，我可以使用POSTMAN来获得响应时间。 DELETE请求，但响应时间为38.73秒。

const deleteReview = (request, response) => {
    const id = parseInt(request.params.id);
    Model.ProductModel.findOneAndDelete({ "review.review_id": id}, (error, results) => {
        if (error) {
            response.status(500).send(error);
        } else {
            response.status(200).send(results);
        }
    });
};
这是我的MongoDB模式：

const mongoose = require('mongoose');
mongoose.connect('mongodb://localhost/reviews', { useNewUrlParser: true, useUnifiedTopology: true, useCreateIndex: true });
const Schema = mongoose.Schema;
const productSchema = new Schema({
    product_id: { type: Number, required: true, unique: true },
    product_name: { type: String, required: true, unique: true },
    review: [{
        review_id: { type: Number, required: true, unique: true },
        user: {
            user_id: { type: Number },
            firstname: { type: String },
            lastname: { type: String },
            gender: { type: String, enum: ['Male', 'Female', 'Other'] },
            nickname: { type: String },
            email: { type: String, required: true },
            password: { type: String, required: true },
        },
        opinion: { type: String, required: true },
        text: { type: String },
        rating_overall: { type: Number, min: 1, max: 5, required: true },
        doesRecommended: { type: Boolean, required: true },
        rating_size: { type: String, enum: ['a size too small', '1/2 a size too small', 'Perfect', '1/2 a size too big', 'a size too big'], required: true },
        rating_width: { type: String, enum: ['Too narrow', 'Slightly narrow', 'Perfect', 'Slightly wide', 'Too wide'], required: true },
        rating_comfort: { type: String, enum: ['Uncomfortable', 'Slightly uncomfortable', 'Ok', 'Comfortable', 'Perfect'], required: true },
        rating_quality: { type: String, enum: ['Poor', 'Below average', 'What I expected', 'Pretty great', 'Perfect'], required: true },
        isHelpful: { type: Number, required: true, default: 0 },
        isNotHelpful: { type: Number, required: true, default: 0 },
        created_at: { type: Date, required: true },
        review_photo_path: [{
            review_photo_id: { type: Number },
            review_photo_url: { type: String }
        }]
    }]
});
const ProductModel = mongoose.model('product', productSchema);
module.exports = { ProductModel };

我有一个名为“评论”的数据库，大小为9.7GB。它有一个集合名称产品。我可以通过运行命令db.products.ensureIndex（{...

Answer 1

如果没有，请确保review.review_id集合的索引为products。您正在使用它来查找要删除的内容，因此应该对其进行索引。