REpresentational State Transfer
- Representational
-
State
-
The current values of variables, properties, fields
-
Accumulation of the results of past changes
-
Transfer
-
Sent from computer to computer, or from service to service
-
Communication
REST
-
Architectural style
- Think design patterns for a software system architecture
-
Introduced by Fielding's Dissertation
-
Now so common, it's usually just implied and not discussed explicitly
REST Architecture
- Client/Server
- Stateless
- The server does not need to track the state of the client
- Cacheable
- Uniform interface
- Layered
REST Basics
-
Use URIs (URLs) to "name" objects
- Java/JS/Python/database objects!
-
Use HTTP methods as verbs to manipulate them
- GET - get the state of an object
- PUT - set the (entire) state of an object
- PUT - create an object
- DELETE - delete an object
- POST - manipulate an object some other way
REST is not RPC
- RPC - Remote Procedure Calls
- Call a procedure (function/method) over the network
- Same semantics as calling a function!
- But, that function runs on a different computer.
- Rest thinks about objects not functions
REST is not RPC
- Stateless
- Client maintains its own state
- Server does not track clients at all
- Requests are big
- Lots of context
- All the fields/properties
- Client must send all relevant state
REST is not RPC
- Stateless
- Server maintains only state relevant to core DATA MODEL objects
- Client maintains state like
- Position in a sequence (UI flow)
- Logged in & identity
REST is not RPC
- Uses a generic interface with standard semantics: HTTP
- GET always gets the state of an object
- PUT always sets the state of an object
- Create it if it doesn't exist
REST is not RPC
- Transformable: You can stick proxies in between the client/server
- Caches
- Load balancers
- Failover
- ...
Caching REST
- Client can cache responses
- Can also insert a caching reverse proxy
- If the entity doesn't change, why request it again?
- What methods are cacheable?
Layering REST
Layering REST
-
Your application may not be multi-machine
- But it can still have layering that uses HTTP
- Example: Separate layer that just handles and validates authentication, before passing it off to the next layer
- Example: Stateless routing some requests to a different process (db1, db2)
Types of requests
- Repeatable - doing it twice in a row is same as doing it once
- Stateless - the request/response itself contains all necessary state information
- Cacheable - the results are the same for some period of time
- Safe - doesn't cause any change
HTTP Methods in REST
|
GET |
PUT |
DELETE |
POST |
Repeatable |
Yes |
Yes |
Yes |
Maybe |
Stateless |
Yes |
Yes |
Yes |
Maybe |
Cacheable |
Yes |
Yes |
Yes |
No |
Safe |
Yes |
No |
No |
No |
Example: Search Query
- Is it Repeatable?
- Is it Stateless?
- Is it Cacheable?
- Is it Safe?
Example: Check the weather
- Is it Repeatable?
- Is it Stateless?
- Is it Cacheable?
- Is it Safe?
Example: Add a photo to gallery
- Is it Repeatable?
- Is it Stateless?
- Is it Cacheable?
- Is it Safe?
Example: Make a payment to a shop
- Is it Repeatable?
- Is it Stateless?
- Is it Cacheable?
- Is it Safe?
Session Cookie Authentication: is it REST?
Signed Token Authentication: is it REST?
Why REST?
- Reliability
- Scalability
- Latencies
- Efficiency
- Distributed
REST Reliability
- Allow more than 1 machine to handle the same task
- If 1 machine dies, we can send requests to another
-
Server doesn't have to track client state
REST Scalability
- Sharding
- Split data across multiple machines
- More capacity + more performance
REST Latency
- Caching decreases latency
- Every layer can have caching
- Multiple layers increases latency
REST Efficiency
- Higher bandwidth
- Every request needs contain all relevant state & context
REST Distributed
- Separate concerns -> separate servers
-
State distributed between server and client
Designing REST
- What is read-only vs read-write
- What is public vs needs to be authenticated
- What relationships can become URIs?
Designing REST
- Take advantage of caching
- Can a single object be split up into separate objects with separate URLs?
- Can something be stored client-side instead of on the server?
- Remember: the client side is the fastest side!
Use nouns for paths, not verbs!
getRecipeInstructions()
→ GET api/v1/recipes/1234
Plural nouns for paths if its a Collection
- Arrays/Lists/Vectors
- Mappings/Dictionaries
- Sets
getAllRecipes()
→ GET api/v1/recipes/
Sub-directories (sub-folders) for hierarchies
api/v1/recipes/1243/versions/2
Use HTTP error codes
Use HTTP error codes
- GET → 200 OK
- New object via PUT or POST → 201 Created
- DELETE → 204 No Content
- Needs authentication → 401 Unauthorized
- Bad JSON or missing/extra properties or bad value → 400 Bad Request
- POST to an endpoint that only understands GET & PUT → 405 Method Not Allowed
HATEOAS
- Hypermedia As The Engine of Application State
- Include hyperlinks in your REST API responses!
GET api/v1/recipes/1243/versions/2
{
"ingredients": [
{
"name": "Flour",
"link": "/api/v1/ingredients/27"
},
...
],
...
}
License
Copyright 2014-2023 ⓒ Abram Hindle
Copyright 2019-2023 ⓒ Hazel Victoria Campbell and contributors
The textual components and original images of this slide deck are
placed under the Creative Commons is licensed under a Creative Commons Attribution-ShareAlike 4.0 International
License.
Other images used under fair use and copyright their copyright holders.
License
Copyright (C) 2019-2023 Hazel Victoria Campbell
Copyright (C) 2014-2023 Abram Hindle and contributors
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