Javascript中的数据类型有以下几种情况: 基本类型:string,number,boolean 特殊类型:undefined,null 引用类型:Object,Function,Date,Array,RegExp, ... ① string string类型的数据是由16位Unicode字符组成的字符串,用typeof检测其数据类型如下: var str = "Hi, Javascript"; console.log(typeof str); // string...
您应该设置ID字段mongoose.Schema.ObjectId的type: const userLikeSchema = new Schema( { userId: { type: mongoose.Schema.ObjectId, required: true, ref: 'User', }, likedUserId: { type: mongoose.Schema.ObjectId, required: true, ref: 'User', }, isActive: { type: Boolean, required: true,...
varExampleSchema=newSchema({// String (core type)string:{type:String,es_boost:2.0},// Number (core type)number:{type:Number,es_type:'integer'},// Date (core type)date:{type:Date,es_type:'date'},// Array typearray:{type:Array,es_type:'string'},// Object typeobject:{field1:{typ...
varExampleSchema=newSchema({// String (core type)string:{type:String,es_boost:2.0},// Number (core type)number:{type:Number,es_type:'integer'},// Date (core type)date:{type:Date,es_type:'date'},// Array typearray:{type:Array,es_type:'string'},// Object typeobject:{field1:{typ...
varExampleSchema=newSchema({// String (core type)string:{type:String,es_boost:2.0},// Number (core type)number:{type:Number,es_type:'integer'},// Date (core type)date:{type:Date,es_type:'date'},// Array typearray:{type:Array,es_type:'string'},// Object typeobject:{field1:{typ...
varExampleSchema=newSchema({// String (core type)string:{type:String,es_boost:2.0},// Number (core type)number:{type:Number,es_type:'integer'},// Date (core type)date:{type:Date,es_type:'date'},// Array typearray:{type:Array,es_type:'string'},// Object typeobject:{field1:{typ...
This example uses a few other mapping fields... such as null_value and type (which overrides whatever value the schema type is, useful if you want stronger typing such as float). Creating Mappings for These Features The way this can be mapped in elastic search is by creating a mapping fo...
var ExampleSchema = new Schema({ // String (core type) string: {type:String, es_boost:2.0}, // Number (core type) number: {type:Number, es_type:'integer'}, // Date (core type) date: {type:Date, es_type:'date'}, // Array type array: {type:Array, es_type:'string'}, //...
var ExampleSchema = new Schema({ // String (core type) string: {type:String, es_boost:2.0}, // Number (core type) number: {type:Number, es_type:'integer'}, // Date (core type) date: {type:Date, es_type:'date'}, // Array type array: {type:Array, es_type:'string'}, //...
By default every field of the referenced schema will be mapped. Use es_select field to pick just specific fields.populate is an array of options objects you normally pass to Model.populate.Indexing An Existing CollectionAlready have a mongodb collection that you'd like to index using this ...