Difference Between findOneAndUpdate and findOneAndReplace in MongoDB

In MongoDB, findOneAndUpdate and findOneAndReplace are both update operations that allow us to modify documents in a collection. However, they have distinct behaviors and use cases.

In this article, we’ll explore the differences between findOneAndUpdate and findOneAndReplace by providing detailed examples.

• MongoDB provides various update operations, such as updateOne, updateMany, and replaceOne, to modify documents in a collection.
• These operations allow us to update specific fields or replace entire documents based on specified criteria.

• findOneAndUpdate is a MongoDB operation that finds a single document matching the specified criteria, updates it, and returns the original document by default or the modified document if specified.
• It is commonly used for atomic updates, ensuring consistency in concurrent operations.

Syntax:

db.collection.findOneAndUpdate(
  <filter>,
  <update>,
  {
    returnOriginal: <boolean>,
    // Additional options
  }
);

Parameters:

• <filter>: Specifies the criteria to select the document to be updated.
• <update>: Specifies the modifications to apply to the selected document.
• returnOriginal: Optional. Determines whether to return the original document (true) or the modified document (false). Default is true.

• findOneAndReplace is another MongoDB operation that finds a single document matching the specified criteria.
• And replaces it with the specified document, and returns either the original document by default or the new document if specified.
• It replaces the entire document rather than modifying specific fields.

Syntax:

db.collection.findOneAndReplace(
  <filter>,
  <replacement>,
  {
    returnOriginal: <boolean>,
    // Additional options
  }
);

Parameters:

• <filter>: Specifies the criteria to select the document to be replaced.
• <replacement>: Specifies the document to replace the selected document.
• returnOriginal: Optional. Determines whether to return the original document (true) or the new document (false). Default is true.

Let’s set up an Environment:

To understand Difference Between findOneAndUpdate and findOneAndReplace in MongoDB we need a collection and some documents on which we will perform various operations and queries. Here we will consider a collection called users which contains the information shown below:

{
  "_id": ObjectId("60a1e862b29a55098a80e50c"),
  "name": "Alice",
  "age": 25,
  "status": "active"
}
{
  "_id": ObjectId("60a1e862b29a55098a80e50d"),
  "name": "Bob",
  "age": 30,
  "status": "active"
}
{
  "_id": ObjectId("60a1e862b29a55098a80e50e"),
  "name": "Charlie",
  "age": 35,
  "status": "inactive"
}
{
  "_id": ObjectId("60a1e862b29a55098a80e50f"),
  "name": "David",
  "age": 40,
  "status": "active"
}
{
  "_id": ObjectId("60a1e862b29a55098a80e510"),
  "name": "Eve",
  "age": 45,
  "status": "inactive"
}

Example of findOneAndUpdate

Suppose we have a collection named users with documents representing users. Let’s update the age of a user with the name “John” using findOneAndUpdate.

db.users.findOneAndUpdate(
  { name: "Bob" }, // Filter criteria
  { $set: { age: 35 } }, // Update operation
  { returnOriginal: false } // Return the modified document
);

Output:

{
  "_id": ObjectId("60a1e862b29a55098a80e50d"),
  "name": "Bob",
  "age": 35,
  "status": "active"
}

Example of findOneAndReplace

Let’s replace the user document with the name “John” with a new document containing updated information using findOneAndReplace.

db.users.findOneAndReplace(   
{ name: "Charlie" }, // Filter criteria   
{ name: "Charlie", age: 40, status: "inactive" }, // Replacement document   
{ returnOriginal: false } // Return the new document )

Output:

{
  "_id": ObjectId("60a1e862b29a55098a80e50e"),
  "name": "Charlie",
  "age": 40,
  "status": "inactive"
}

In MongoDB, findOneAndUpdate and findOneAndReplace are powerful operations for modifying documents in a collection, but they serve different purposes and offer distinct functionalities. Understanding their differences is crucial for choosing the appropriate operation based on your specific use case.