Arrays 如何使用nodejs在已经存在的文档中添加数组？

我想在已经存在的文档中插入数组

现在，我的文档如下所示：

{
    "_id" : ObjectId("5604f0150fe136e9292ee16a"),
    "name" : "mamy",
    "url_Address" : "http://www.flipkart.com/mamy-poko-pants-diaper-large/p/itmdbdffn8gjzpfz?pid=DPRDADE2Z8BZGYZG&ref=L%3A-2196533682561335257&srno=p_1&query=mamy&otracker=from-search",
    "vendor_Name" : "WS Retail",
    "vendor_rating" : "4.2 / 5",
    "last_price_1" : "Rs. 699",
    "last_price_2" : "Rs. 699",
    "prce" : "Rs. 699",
    "product_Name" : "Mamy Poko Pants Diaper - Large",
    "MRP" : "Rs 573"
}

我想在其中添加一个名为competitor的数组：

{
    "_id" : ObjectId("5604f0150fe136e9292ee16a"),
    "name" : "mamy",
    "url_Address" : "http://www.flipkart.com/mamy-poko-pants-diaper-large/p/itmdbdffn8gjzpfz?pid=DPRDADE2Z8BZGYZG&ref=L%3A-2196533682561335257&srno=p_1&query=mamy&otracker=from-search",
    "vendor_Name" : "WS Retail",
    "vendor_rating" : "4.2 / 5",
    "last_price_1" : "Rs. 699",
    "last_price_2" : "Rs. 699",
    "prce" : "Rs. 699",
    "product_Name" : "Mamy Poko Pants Diaper - Large",
    "MRP" : "Rs 573",
    "Competitor : [{
                     "cat_id" : "xx",
                     "name" : "mamy",
                     "url_Address" : "http://www.flipkart.com/mamy-poko-pants-diaper-large/p/itmdbdffn8gjzpfz?pid=DPRDADE2Z8BZGYZG&ref=L%3A-2196533682561335257&srno=p_1&query=mamy&otracker=from-search",
                     "vendor_Name" : "WS Retail",
                     "vendor_rating" : "4.2 / 5",
                     "last_price_1" : "Rs. 699",
                     "last_price_2" : "Rs. 699",
                     "prce" : "Rs. 699",
                     "product_Name" : "Mamy Poko Pants Diaper - Large",
                     "MRP" : "Rs 573"
                    },
                  {
                     "cat_id" : "xxx",
                     "name" : "mamy",
                      "url_Address" : "http://www.flipkart.com/mamy-poko-pants-diaper-large/p/itmdbdffn8gjzpfz?pid=DPRDADE2Z8BZGYZG&ref=L%3A-2196533682561335257&srno=p_1&query=mamy&otracker=from-search",
                     "vendor_Name" : "WS Retail",
                     "vendor_rating" : "4.2 / 5",
                     "last_price_1" : "Rs. 699",
                     "last_price_2" : "Rs. 699",
                     "prce" : "Rs. 699",
                     "product_Name" : "Mamy Poko Pants Diaper - Large",
                     "MRP" : "Rs 573"
                   }]"
}

我必须在mongodb中编写什么查询

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我必须在Nodejs中编写什么查询？

您需要替换文档以添加字段：

var updateRestaurants = function(db, callback) {
   db.collection('restaurants').replaceOne(
      { "restaurant_id" : "41704620" },
      {
        "name" : "Vella 2",
        "address" : {
           "coord" : [ -73.9557413, 40.7720266 ],
           "building" : "1480",
           "street" : "2 Avenue",
           "zipcode" : "10075"
        }
      },
      function(err, results) {
        console.log(results);
        callback();
   });
};

查阅文件：

替换文档可以具有与原始文档不同的字段 文件

但是要小心

更新后，文档仅包含中的一个或多个字段 替换文件

---

因此，您需要获取文档，添加新字段并替换所有文档

您可以在现有文档中添加整个

竞争对手

数组，并在中给出更新

查询内容如下：

db.collection.update({
    "_id": ObjectId("5604f0150fe136e9292ee16a")
}, {
    $set: {
    "Competitor": [{
        "cat_id": "xx",
        "name": "mamy",
        "url_Address": "http://www.flipkart.com/mamy-poko-pants-diaper-large/p/itmdbdffn8gjzpfz?pid=DPRDADE2Z8BZGYZG&ref=L%3A-2196533682561335257&srno=p_1&query=mamy&otracker=from-search",
        "vendor_Name": "WS Retail",
        "vendor_rating": "4.2 / 5",
        "last_price_1": "Rs. 699",
        "last_price_2": "Rs. 699",
        "prce": "Rs. 699",
        "product_Name": "Mamy Poko Pants Diaper - Large",
        "MRP": "Rs 573"
    }, {
        "cat_id": "xxx",
        "name": "mamy",
        "url_Address": "http://www.flipkart.com/mamy-poko-pants-diaper-large/p/itmdbdffn8gjzpfz?pid=DPRDADE2Z8BZGYZG&ref=L%3A-2196533682561335257&srno=p_1&query=mamy&otracker=from-search",
        "vendor_Name": "WS Retail",
        "vendor_rating": "4.2 / 5",
        "last_price_1": "Rs. 699",
        "last_price_2": "Rs. 699",
        "prce": "Rs. 699",
        "product_Name": "Mamy Poko Pants Diaper - Large",
        "MRP": "Rs 573"
    }]
    }
})

---

以下是您对mongodb查询的答案