What are methods in REST API?

What are methods in rest api: Core HTTP Verbs

what are methods in rest api is a crucial topic for developers building scalable web services. Understanding these standard HTTP actions ensures proper resource management and smooth communication between client and server applications. Learn the specific functions of each primary verb to improve your API design and integration efforts.

What are methods in REST API?

Methods in REST API, also known as HTTP verbs, are the core components that dictate how a client interacts with a server resource. They function as a standardized language - defining the exact intent of a request, whether you are simply reading information or making structural changes to data. Understanding types of rest api methods is essential because they map directly to traditional database operations, making your system predictable and easy to manage.

Most well-designed APIs rely on five primary methods to handle the vast majority of operations. Getting these right is key to building a professional web service. But there is one subtle nuance regarding data updates that confuses 60-70 percent of developers early on - I will break that down in the comparison section below.

The Core Five HTTP Methods

To build a functional API, you should view each method as a specialized tool tailored for a specific task. Getting this alignment right ensures your API adheres to industry standards, which in turn improves integration reliability for external users.

The standard set of verbs includes: GET: Used to retrieve data. It is a read-only request that should never alter the state of your database. POST: Used to create a brand new resource. This is typically the method used when you submit a form or register a new user. PUT: Used to replace an existing resource entirely. It requires you to send the complete data object. PATCH: Used for partial updates. You only send the specific fields you need to modify, rather than the entire object. DELETE: Used to remove a specific resource permanently from the server.

Safe and Idempotent Operations Explained

A frequent point of confusion involves the concepts of safe and idempotent operations. Safe methods are those that never modify server data, while idempotent methods are those that produce the same result regardless of how many times you execute them.

Safe methods include GET and HEAD, as they are strictly observational. Idempotent methods are slightly different - GET, PUT, DELETE, and HEAD all fall into this category. If you send a DELETE request for a resource that does not exist, the server will correctly return a 404 error, and your final state remains resource deleted. It is quite similar to toggling a light switch; flipping it on ten times results in the light being on every single time.

POST is notably neither safe nor idempotent. If a network glitch happens during a payment request, simply repeating a POST could accidentally charge a user twice. That is why most payment systems use unique idempotency keys to force safety onto non-idempotent methods.

Mapping CRUD to REST Verbs

Mapping traditional crud operations rest api verbs to REST verbs is the bedrock of API design. Getting this mapping right keeps your code clean and intuitive.

When you align these correctly, your API becomes self-documenting. For instance, mapping Create to POST and Read to GET allows your team to understand the intent without constantly referencing documentation. This approach is highly efficient - professional teams often report fewer integration questions when their API follows these standard conventions regarding the rest api http methods list and the difference between put and patch rest api.

Choosing Between PUT and PATCH for Updates

The most common architectural mistake I see involves developers swapping PUT and PATCH inappropriately. Here is how they actually compare.

PUT

- Full resource replacement

- Requires sending the entire object, even if only one field changes

- Idempotent; repeated requests yield the same result

PATCH

- Partial resource modification

- Sends only the modified fields, saving significant bandwidth

- Not inherently idempotent, though often implemented as such

Optimizing a High-Traffic Inventory API

Minh, a backend developer in Ho Chi Minh City, managed an inventory system for a popular e-commerce site. Every time a warehouse staff updated a single stock count, the system sent a full PUT request, forcing the server to process 20 kilobytes of redundant data.

Minh initially ignored this, assuming the network overhead was negligible. But during a flash sale, the API response times ballooned from 100ms to over 800ms, causing database locking issues.

He realized his mistake: indiscriminate use of PUT caused massive, unnecessary database write contention. He refactored the update endpoints to use PATCH for count changes, sending only the new integer rather than the full item profile.

The result was a 75 percent reduction in bandwidth usage and a return to stable 120ms response times under load. Minh learned that while PUT is standard, PATCH is often the key to scaling write-heavy applications.