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由於我是新來的貓鼬和NodeJS。我被困在貓鼬身上查詢。節點Mongoose：小於，大於查詢不起作用
我通過過濾大於和小於關鍵字的價格獲取產品，但我得到錯誤的值。以下是我的詳細資料。
產品架構：
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
console.log('productSchema');
var productSchema = new Schema({
name: {
type: String,
required: true,
trim: true
},
sku: {
type: String,
required: true,
unique: true
},
price: {
type: Number,
required: true
},
special_price: {
type: Number,
required: false
},
description: {
type: String,
required: false,
trim: true
},
image: {
type: String,
required: false
},
galleryimage: {
type: Object,
required: false
},
stockstatus: {
type: String,
required: false
},
reviewscount: {
type: String,
required: false
},
overallrating: {
type: String,
required: false
},
urlkey: {
type: String,
required: false
},
shortdescription: {
type: String,
required: false,
trim: true
},
productid: {
type: String,
required: false
},
categoryid: {
type: String,
required: false
},
reviews: {
type: Object,
required: false
},
upsell: {
type: Object,
required: false
},
moreinformation: {
type: Object,
required: false
}
});
module.exports = mongoose.model('products', productSchema);
更改爲MyQuery：
Product.find({ price: { $gt: 1.0000, $lt: 120.0000 }}, function(err, products){
for(var i = 0; i<products.length; i++){
console.log(products[i].price);
}
callback(null, products);
});
我想這個代碼太
Product.find(function(err, products){
for(var i = 0; i<products.length; i++){
console.log(products[i].price);
}
callback(null, products);
}).where('price').gt(1.0000).lt(120.0000);
哪裏錯呢？
編輯： MongoDB的數據：
{
"_id" : ObjectId("587ca7bc5f05ff3280b4756a"),
"productid" : "820",
"name" : "Thorpe Track Pant",
"sku" : "MP07",
"price" : "120.0000",
"image" : "http://localhost/magento/pub/media/catalog/product/cache//beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_main.jpg",
"special_price" : null,
"description" : "<p>Thirty degree temps are chilly for most, except when you're in Thorpe Track Pants. These top-of-the-line track bottoms are made from fast-drying, weather-resistant fabric with an internal breathable layer of mesh nylon to wick away moisture.</p>\n<p>• Moisture transfer properties. <br />• 7% stretch.<br />• Reflective safety trim.<br />• Elastic drawcord waist.</p>",
"stockstatus" : "instock",
"reviewscount" : null,
"overallrating" : null,
"galleryimage" : [
{
"large" : "http://localhost/magento/pub/media/catalog/product/cache//beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_alt1.jpg",
"thumbnail" : "http://localhost/magento/pub/media/catalog/product/cache//80x/beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_alt1.jpg"
},
{
"large" : "http://localhost/magento/pub/media/catalog/product/cache//beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_main.jpg",
"thumbnail" : "http://localhost/magento/pub/media/catalog/product/cache//80x/beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_main.jpg"
},
{
"large" : "http://localhost/magento/pub/media/catalog/product/cache//beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_back.jpg",
"thumbnail" : "http://localhost/magento/pub/media/catalog/product/cache//80x/beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_back.jpg"
},
{
"large" : "http://localhost/magento/pub/media/catalog/product/cache//beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_side_a.jpg",
"thumbnail" : "http://localhost/magento/pub/media/catalog/product/cache//80x/beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_side_a.jpg"
},
{
"large" : "http://localhost/magento/pub/media/catalog/product/cache//beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_side_b.jpg",
"thumbnail" : "http://localhost/magento/pub/media/catalog/product/cache//80x/beff4985b56e3afdbeabfc89641a4582/m/p/mp07-blue_side_b.jpg"
}
],
"reviews" : [],
"upsell" : [],
"moreinformation" : [
{
"value" : "Block after Info Column",
"label" : "Display Product Options In"
},
{
"value" : "Taxable Goods",
"label" : "Tax Class"
},
{
"value" : [
"Cocona® performance fabric",
"Polyester",
"Rayon",
"Wool"
],
"label" : "Material"
},
{
"value" : "No",
"label" : "Eco Collection"
},
{
"value" : "No",
"label" : "Performance Fabric"
},
{
"value" : "No",
"label" : "Erin Recommends"
},
{
"value" : "Yes",
"label" : "New"
},
{
"value" : "No",
"label" : "Sale"
},
{
"value" : [
"Sweatpants",
"Track Pants",
"Workout Pants"
],
"label" : "Style"
},
{
"value" : "Solid",
"label" : "Pattern"
},
{
"value" : [
"All-Weather",
"Cold",
"Cool",
"Spring",
"Wintry"
],
"label" : "Climate"
}
],
"categoryid" : "18,32,8,2",
"__v" : 0
}
您的查詢看起來很好，它適用於我。也許你可以發佈一些你期望的樣本數據和你正在獲取的樣本數據。 –
@node_saini，當然和完成 – Charlie
在架構中，您的價格數據類型是數字，但在您的數據價格是字符串，因此它不會相應地工作。 [請參閱本文]（http://stackoverflow.com/q/18039358/4394926），並在這個主題上有幾個帖子，引用他們，你會得到你的預期結果。 –