First published on MSDN on Jul 20, 2017
Microsoft R Server’s operationalization feature enables data scientists to deploy and consume web services to operationalize their R analytics. The publishService() function in mrsdeploy package can be used to publish an R code block as a new web service. After it has been deployed, the web service can be:
There are several tools like Azure AutoRest , Swagger Codegen , Swagger.io which can be used to generate API client library from swagger.json file in your preferred programming language. Now, we will look into generating API client library in R using the httr package. Using the below R code snippet, data scientists/application developers can quickly generate API Client Library in over 40 different languages immediately after publishing the web service in their R session . This method requires no extra setup, no software download/installation.
After running the above code snippet, you will find the client library in a zip file in current working directory. Unzip the file, add nuget package dependencies, add authentication workflow, add client code and begin consuming the APIs. Here is a detailed article .
To generate Client Library in your preferred language, just replace the language in httr::POST URL http://generator.swagger.io/api/gen/clients/ <language> with one of the supported languages:
akka-scala, android, apex, async-scala, bash, clojure, cpprest, csharp, CsharpDotNet2, cwiki, dart,
dynamic-html, eiffel, elixirperl, flash, go, groovy, html, html2, java, javascript, javascript-closure-angular,
jaxrs-cxf-client, jmeter, kotlin, objc, perl, php, powershell, python, qt5cpp, ruby, scala, swagger,
swagger-yaml, swift, swift3, swift4, tizen, typescript-angular, typescript-angular2, typescript-fetch,
typescript-jquery, typescript-node
The list of supported languages can be viewed here .
Microsoft R Server’s operationalization feature enables data scientists to deploy and consume web services to operationalize their R analytics. The publishService() function in mrsdeploy package can be used to publish an R code block as a new web service. After it has been deployed, the web service can be:
- Consumed directly in R by another data scientist , for testing purposes for example
- Integrated into an application by an application developer using the Swagger-based JSON file produced when the web service was published.
There are several tools like Azure AutoRest , Swagger Codegen , Swagger.io which can be used to generate API client library from swagger.json file in your preferred programming language. Now, we will look into generating API client library in R using the httr package. Using the below R code snippet, data scientists/application developers can quickly generate API Client Library in over 40 different languages immediately after publishing the web service in their R session . This method requires no extra setup, no software download/installation.
After running the above code snippet, you will find the client library in a zip file in current working directory. Unzip the file, add nuget package dependencies, add authentication workflow, add client code and begin consuming the APIs. Here is a detailed article .
To generate Client Library in your preferred language, just replace the language in httr::POST URL http://generator.swagger.io/api/gen/clients/ <language> with one of the supported languages:
akka-scala, android, apex, async-scala, bash, clojure, cpprest, csharp, CsharpDotNet2, cwiki, dart,
dynamic-html, eiffel, elixirperl, flash, go, groovy, html, html2, java, javascript, javascript-closure-angular,
jaxrs-cxf-client, jmeter, kotlin, objc, perl, php, powershell, python, qt5cpp, ruby, scala, swagger,
swagger-yaml, swift, swift3, swift4, tizen, typescript-angular, typescript-angular2, typescript-fetch,
typescript-jquery, typescript-node
The list of supported languages can be viewed here .
Updated Mar 23, 2019
Version 2.0
SQL-Server-Team
Microsoft
Microsoft
