REST - Representational state transfer

3,058 views

Published on

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
3,058
On SlideShare
0
From Embeds
0
Number of Embeds
132
Actions
Shares
0
Downloads
157
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

REST - Representational state transfer

  1. 1. REST Representational State Transfer Tricode Professional Services www.tricode.nl 11-06-2010 Marcel Blok
  2. 2. Why? "The motivation for developing REST was to create an architectural model for how the Web should work, such that it could serve as the guiding framework for the Web protocol standards. REST has been applied to describe the desired Web architecture, help identify existing problems, compare alternative solutions, and ensure that protocol extensions would not violate the core constraints that make the Web successful." - Roy Fielding
  3. 3. Background • REST can be seen as a post hoc description of the features of the World Wide Web. • The original description was used to develop the HTTP/1.1 standard.
  4. 4. Rationale “Why should I care?” • The beauty of the web is it’s simple structure. • We may want to learn from this so we may choose to implement this design in our own web applications.
  5. 5. The internet • Since we are looking back at the basics of the World Wide Web, it is good to look back at what the internet is and came to be.
  6. 6. WWW vs. internet • The internet includes all connected networks. • The World Wide Web is the part of the internet that uses the HTTP protocol.
  7. 7. REST • Representational State Transfer is a software architecture style. • REST was developed along the HTTP/1.1 protocol. And HTTP/1.1 adheres to it.
  8. 8. REST concept (1) • The architecture consists of clients and servers; requests and responses. • Requests and responses are built around the transfer of representations of resources. • Clients contain representations, servers the resources (concepts) themselves.
  9. 9. REST client and server Client(s) Server request response Representations Resource
  10. 10. REST concept (2) • A client can be either transitioning between states or be at rest. • A client is considered to be transitioning between states while one or more requests are outstanding. • The representation of the client state contains links that can be used to initiate new state transitions.
  11. 11. REST client application Representations of resources Action link Links to start a state transfer Action link Action link
  12. 12. REST concept (3) • A client in a rest state is able to interact with its user. • A client at rest creates no load on the servers or the network. • A client at rest consumes no per-client storage on the servers.
  13. 13. REST at rest Client Server Client data/session
  14. 14. REST constraints The REST architecture describes the following six constraints to implement this concept: • Client-server • Stateless • Cacheable • Uniform interface • Layered system • Code on demand [optional]
  15. 15. Client-server • Clients are separated from servers by a uniform interface. So we have a separation of concerns: – Clients are concerned with the presentation to the user and the application state – Servers are concerned with data storage, domain model logic etc.
  16. 16. Apply client-server Apply separation of concerns: client-server + improves UI portability + simplifies server + enables multiple organizational domains
  17. 17. Stateless • No client context is stored on the server between requests. • Each request from any client contains all of the information necessary to service the request, and any state is held in the client. • The server can be stateful, this constraint merely requires that server-side state be addressable by URL as a resource.
  18. 18. Apply statelessness Constrain action to be stateless + simplifies server - degrades efficiency + improves scalability + improves reliability
  19. 19. Cacheable • Clients are able to cache responses. • Responses must, implicitly or explicitly, define themselves as cacheable or not.
  20. 20. Apply cacheability Add optional non-shared caching $ $ + reduces average latency - degrades reliability + improves efficiency + improves scalability
  21. 21. Uniform interface • A uniform interface between clients and servers simplifies and decouples the architecture. This enables each part to evolve independently.
  22. 22. Guiding principles of the interface Identification of resources Individual resources are identified in requests. The resources themselves are separate from the representations that are returned to the client. Manipulation of resources through representations The representation of a resource, including any metadata attached, has enough information to modify or delete the resource on the server. Self-descriptive messages Each message includes enough information to describe how to process the message. Hypermedia as the engine of application state If it is likely that the client will want to access related resources, these should be identified in the representation returned.
  23. 23. Apply uniform interface Apply generality: the uniform interface constraint $ $ $ + improves visibility - degrades efficiency + independent evolvability + decouples implementation
  24. 24. Layered system • A client cannot ordinarily tell whether it is connected directly to the end server, or to an intermediary along the way. Layers providing load balancing, security or shared caching can be added or removed very easily this way.
  25. 25. Apply layered system Apply info hiding: layered system constraints $ $ $ $ $ $ $ + simplifies clients + shared caching + improves scalability + legacy encapsulation + load balancing - adds latency
  26. 26. ROA • REST is only an architectural style. • One of the architectures that adheres to this style is ROA: Resource Orientated Architecture. • But multiple architectures can apply this style!
  27. 27. ROA examples • URLs point to resources (nouns) • Universal methods for handling resources: GET, POST, PUT and DELETE (verbs) • No state on the server! • Make use of caching…
  28. 28. ROA vs. SOA “Is REST/ROA better than SOA?” • Often the easiest solution is the best. • REST has proved itself. • SOA is not SOAP! • But decide what architecture suits best.

×