mongodb

问题 Could you please help me out in writing Mongo Shell script to create new collections and indexes to it. Here are some part of the code which i wrote and i need to refactored it. db.createCollection("Dog", { autoIndexId : true}); db.createCollection("Cat", { autoIndexId : true}); db.createCollection("Mouse", { autoIndexId : true}); db.createCollection("Name", { autoIndexId : true}); In above code can i write single statement to create multiple collections? and also add multiple indexes to one

问题 In the user model, I have an array of custom objects followedPlaylists which contains two attributes ( playlist: the id of the playlist, public: to determine whether it is public or not) as shown below const userSchema = new mongoose.Schema({ ..... other attributes followedPlaylists: [{ playlist: { type: mongoose.Schema.ObjectId, ref: 'Playlist', unique: true }, public: Boolean }] }) I want to populate on followedPlaylists.playlist so the response would be something like [{ playlist: * the

问题 I have the following type of object in my MongoDB { ..., "name": { "en": "...", "am": "...", "ru": "..." }, ... } Now I want to run the following query using Spring Data Mongo db.categories.aggregate({$addFields: {'name': '$name.am'}}) where the am part in $name.am is the locale of the name, hence it must be dynamic. I looked through the MongoTemplate API, and as far as I found, there is no support of addFields operation. Is there any way to achieve this? 回答1: You need to implement

问题 The following code works as expected to upload and retrieve files: // Mongo URI const mongoURI = 'mongodbconnstring'; // // Create mongo connection const conn = mongoose.createConnection(mongoURI); // // Init gfs let gfs; conn.once('open', () => { gfs = new mongoose.mongo.GridFSBucket(conn.db, { bucketName: 'Uploads' }); }); // Create storage engine const storage = new GridFsStorage({ url: mongoURI, file: (req, file) => { return new Promise((resolve, reject) => { const filename = file

问题 The following code works as expected to upload and retrieve files: // Mongo URI const mongoURI = 'mongodbconnstring'; // // Create mongo connection const conn = mongoose.createConnection(mongoURI); // // Init gfs let gfs; conn.once('open', () => { gfs = new mongoose.mongo.GridFSBucket(conn.db, { bucketName: 'Uploads' }); }); // Create storage engine const storage = new GridFsStorage({ url: mongoURI, file: (req, file) => { return new Promise((resolve, reject) => { const filename = file

问题 I am trying to work with MongoDB in my Java projects. After exporting my project to a file I get a no class defined error for the MongoClient. I get no errors while exporting. I use Maven to import the different dependencies and all jars are being exported properly import com.mongodb.client.MongoClient; import com.mongodb.client.MongoClients; public class MongoDB { private static MongoClient client; public static void init() { try { client = MongoClients.create("mongodb://localhost:27017

问题 I want output like this. I have a task to complete more than 5 models with nested type and all CRUD methods by using RestFawork.If anyone knows the answer share with me. { "id": 1, "first_name": "John 1", "last_name": "Robert 1", "instrument": "KeyBoard", "album_musician": [ { "id": 3, "artist": 1, "name": "Test robert", "release_date": "2020-09-16", "num_stars": 400 "Language": [ { "Original": "English", "Dubbed": "Tamil" } ] } ] } In this Code, I did only Sigle Nested Framework. My model.py

问题 I have a database composed by entries which correspond to work contracts. In the MongoDB database I have aggregated by specific worker, then the database - in a simplified version - looks like something like that. { "_id" : ObjectId("5ea995662a40c63b14266071"), "worker" : "1070", "employer" : "2116096", "start" : ISODate("2018-01-11T01:00:00.000+01:00"), "ord_id" : 0 }, { "_id" : ObjectId("5ea995662a40c63b14266071"), "worker" : "1070", "employer" : "2116096", "start" : ISODate("2018-01-11T01

问题 I have a database composed by entries which correspond to work contracts. In the MongoDB database I have aggregated by specific worker, then the database - in a simplified version - looks like something like that. { "_id" : ObjectId("5ea995662a40c63b14266071"), "worker" : "1070", "employer" : "2116096", "start" : ISODate("2018-01-11T01:00:00.000+01:00"), "ord_id" : 0 }, { "_id" : ObjectId("5ea995662a40c63b14266071"), "worker" : "1070", "employer" : "2116096", "start" : ISODate("2018-01-11T01

问题 I am using Node.js, MongoDB with Mongoose and am using passport.js for authentication. Here is my user schema: const userSchema = new mongoose.Schema({ email: String, password: String, googleId: String, facebookId: String, profilePic: String, fName: String, lName: String }); And my google strategy: passport.use( new GoogleStrategy( { clientID: process.env.CLIENT_ID, clientSecret: process.env.CLIENT_SECRET, callbackURL: "http://localhost:3000/auth/google/dashboard", profileFields: ["id",