To push data to an array of objects in MongoDB, you can use the $push operator in combination with the $each modifier. Here's an example:

Suppose you have a MongoDB collection called users with the following document:

To push a new email object to the emails array, you can use the following query:

          { email: "johndoe@yahoo.com", primary: false }

In this example, the update() method is used to update the emails array in the users collection. The first argument to the update() method is the query to find the document to update, which in this case is the document with the _id value of ObjectId("1234567890").

The second argument to the update() method is an object containing the $push operator, which adds the new email object to the emails array. The $each modifier is used to push an array of one or more values to the emails array. In this case, we're pushing a single email object with the email value of "johndoe@yahoo.com" and the primary value of false.

After running this query, the emails array in the users collection will look like this:

You can use this same approach to push data to an array of objects in any MongoDB collection.

In this article, we will discuss MongoDb pushing data to an array of objects.

MongoDb pushing data to an array of objects

For example, if ant to compare if "something" is of type Reference, or Timestamp, or whatever.

I'm doing backend Firebase Functions with Node.js/Express.js.

When working with Firebase, comparing data types can be crucial for various operations like sorting, filtering, or validating data. The approach to comparing Firebase data types depends on the specific data type you are working with. Here are some common Firebase data types and their comparison methods:

Comparing strings in Firebase is straightforward. You can use JavaScript's standard string comparison operators (<, <=, >, >=, ===, !==) to compare string values. For example:

When comparing numeric values in Firebase, you can use the same comparison operators as in regular JavaScript. For example:

Firebase allows storing dates as either timestamp (in milliseconds) or as strings in a specific format (e.g., "YYYY-MM-DD"). To compare dates in Firebase, you need to parse the date values and then compare them using JavaScript's date comparison methods. For example:

Firebase's boolean values can be compared using JavaScript's logical operators (&&, ||, !). For example:

Comparing arrays in Firebase often involves checking the presence of specific elements or comparing the lengths of arrays. You can use JavaScript's array methods like includes(), indexOf(), or length property to perform array comparisons. For example:

const fruits = ["apple", "banana", "orange"];

Comparing objects in Firebase typically involves comparing specific properties within the objects. You can access object properties and use comparison operators or equality checks to compare the values. For example:

const person1 = { name: "John", age: 30 };

const person2 = { name: "Jane", age: 25 };

Remember to ensure data consistency and handle any null or undefined values appropriately to avoid unexpected behavior during comparisons.

By using the appropriate comparison methods for different Firebase data types, you can effectively compare and manipulate data based on your application's requirements.

How to compare Firebase data types?

I am a self-taught learner and becoming a MERN stack developer. I want to save/retrieve audio files in MongoDB with node js backend but I do not know how to do that so, I need ideas/suggestions I would appreciate it. 

You can try using GridFs for storing your audio files check that https://www.mongodb.com/docs/manual/core/gridfs/

How can i save and retrive audio files in MongoDB with nodejs backend? what should i use?

If I were to use momentJS in my VPS server, does it create a date + time based on the location of where the server is located?

If my server is somewhere in Country A and the client access the site in Country B, does momentJS create time based on Country A or B?

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