Introduction

When building REST APIs for real-world applications (like e-commerce apps, banking systems, or social platforms), updating data efficiently and safely is critical. Two HTTP methods—PUT and PATCH—are specifically designed for updating resources, but they are often misunderstood or used interchangeably.

This confusion can lead to issues like unnecessary data transfer, accidental data loss, or poor API design.

In this article, we will deeply understand:

The goal is to help you design clean, scalable, and production-ready REST APIs.

What Is a REST API?

A REST API (Representational State Transfer) is an architectural style that allows communication between client and server using HTTP protocols.

It follows standard HTTP methods:

Each request operates on a resource (like a user, product, or order).

What Is the PUT Method?

PUT is an HTTP method used to completely replace an existing resource with a new version.

Definition:

PUT updates the entire resource by sending a full representation of that resource to the server. If some fields are missing, they may be removed or reset.

How PUT Works Internally

When a PUT request is sent:

  1. The server locates the resource using the given ID or URL

  2. The existing resource is replaced with the new data

  3. Any missing fields may be overwritten or set to default values

Key Characteristics of PUT

Example of PUT Request

Existing user:

{
  "id": 1,
  "name": "Rahul",
  "email": "[email protected]",
  "age": 25
}

PUT request:

PUT /api/users/1
{
  "id": 1,
  "name": "Rahul Sharma",
  "email": "[email protected]",
  "age": 26
}

Here, the entire object is replaced.

Real-Life Scenario (PUT)

Imagine editing your full profile form on a website. You rewrite all fields and submit the entire form again.

What Is the PATCH Method?

PATCH is used to update only specific fields of a resource without affecting the rest of the data.

Definition:

PATCH applies partial modifications to a resource by sending only the fields that need to be changed.

How PATCH Works Internally

  1. The server identifies the resource

  2. Only the provided fields are updated

  3. Remaining fields stay unchanged

PATCH often uses formats like JSON Patch or Merge Patch.

Key Characteristics of PATCH

Example of PATCH Request

PATCH /api/users/1
{
  "email": "[email protected]"
}

Only the email field changes.

Real-Life Scenario (PATCH)

You log in and update only your phone number without touching other profile details.

Difference Between PUT and PATCH

FeaturePUT MethodPATCH Method
DefinitionReplaces entire resourceUpdates partial resource
Data SentFull objectOnly changed fields
IdempotencyAlways idempotentMay or may not be idempotent
RiskCan overwrite dataSafer for small updates
PerformanceHigher payloadLower payload
Use CaseFull updatePartial update
ComplexitySimpleSlightly complex

Real-World Use Cases

When to Use PUT (Production Scenarios)

Example:

An admin updates all product details including name, price, stock, and category.

When to Use PATCH (Production Scenarios)

Example:

In an e-commerce app, only order status changes—not the entire order.

ASP.NET Core Practical Example

PUT Example

[HttpPut("{id}")]
public IActionResult UpdateUser(int id, User user)
{
    var existingUser = _context.Users.Find(id);
    if (existingUser == null)
        return NotFound();

    existingUser.Name = user.Name;
    existingUser.Email = user.Email;
    existingUser.Age = user.Age;

    _context.SaveChanges();
    return Ok(existingUser);
}

PATCH Example

[HttpPatch("{id}")]
public IActionResult PatchUser(int id, JsonPatchDocument<User> patchDoc)
{
    var user = _context.Users.Find(id);
    if (user == null)
        return NotFound();

    patchDoc.ApplyTo(user);
    _context.SaveChanges();

    return Ok(user);
}

Advantages of PUT

Disadvantages of PUT

Advantages of PATCH

Disadvantages of PATCH

Before vs After Understanding

Before:

After:

Common Mistakes to Avoid

Summary

Understanding the difference between PUT and PATCH is not just a theory—it directly impacts performance, scalability, and reliability of your API.

In simple terms:

Mastering this concept will help you design better APIs that are efficient, maintainable, and production-ready.