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A multiple-model API call is a single call that returns the data for multiple models in the response An API that represents a basic social network with a user model and a follows model is a good example that shows where this would be useful The follows model contains information about which user is the follower, which user is being followed, when the follow occurred, and so on To retrieve a user s full information, the atomic API would require two requests: one to get the user data and one to get all the follows data for that user A multiple-model API could reduce that to a single request that includes data from both the user and follows models Multiple-model APIs are very similar to multi-gets in that they reduce the number of requests that a client needs to make to get data Multiple-model APIs are usually best
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4 Service and API Design
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left for later-stage development You should take the step of including multiple models within the API only when you re optimizing calls that are made very frequently or when there is a pressing need Otherwise, your API can quickly become very complex
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Conclusion
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When designing an overall services architecture, you need to make some decisions up front about the services and their APIs First, the functionality of the application must be partitioned into services Second, standards should be developed that dictate how to make requests to service APIs and what those responses should look like Third, the design should account for how many joins have to occur across services Finally, the APIs should provide a consistent level of functionality APIs should take into account the partitioning of the application, consistency in their design, and versioning Strategies for partitioning application into services include partitioning based on iteration speed, on logical function, on read/write frequency, and on join frequency Developing standards in the URI design and service responses makes it easier to develop client libraries to access all services The service APIs should aim for consistency to make URI and response parsing easier to extract into shared libraries for use by everyone Services should be versioned and be able run multiple versions in parallel This gives service clients time to upgrade rather than having to upgrade both client and server in lock step
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C HAPTER 5 Implementing Services
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This chapter explores a few of the options in Ruby for implementing services Specifically, in this chapter, you will implement a service from the social feed reader application with Rails, Sinatra, and as a basic Rack application Implementing the same functionality in all these frameworks will help reveal the differences in these choices and the possible strengths and weaknesses of each The Rails framework provides an option that most readers are familiar with for complete web applications Rails supplies a lot of innate functionality, but at the cost of speed and extra code and complexity that isn t necessary in smaller services Rails is a good place to start, but you should examine other frameworks to see other ways of organizing logic for handling requests Sinatra is part of the newest generation of Ruby frameworks that diverge from Rails in design Rack is the basic web server interface that both Rails and Sinatra are built on
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The Vote Service
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The service this chapter focuses on is the vote system from the social feed reader application Basically, the vote service should provide a way to let users give a thumbs up or thumbs down to a feed entry It should also provide different ways to retrieve previous vote data In addition, the service should provide the following specific features: Vote an entry up or down The service should provide an API call to rate an entry This call should require a user ID, an entry ID, and whether the vote is up
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