Scala rest api post example

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Scala rest api post example

By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. New to Spark Scala, I just want to read a json file and post the content to an external rest api server. Can anyone provide a simple example?

You probably do not want to use Spark for this. Spark is an analytical engine for processing large amounts of data - unless you're reading in massive amounts of json from hdfs, this task is more suitable for scala. You should look up ways to read a json file in scala, and send that content to a server in scala. Learn more. Asked 10 months ago. Active 10 months ago. Viewed times. Reddy Gadipally 1, 6 6 silver badges 18 18 bronze badges.

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scala rest api post example

DefaultHttpClient import java. ArrayList import org. BasicNameValuePair import org. UrlEncodedFormEntity import com. Jonathan Myers Jonathan Myers 2 2 silver badges 16 16 bronze badges. Sign up or log in Sign up using Google. Sign up using Facebook. Sign up using Email and Password. Post as a guest Name. Email Required, but never shown.

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Technical site integration observational experiment live on Stack Overflow. Triage needs to be fixed urgently, and users need to be notified upon….There will be several different versions of the same project as this series expands, so you can compare different versions of the project against each other.

To run Play on your own local computer, please see the instructions in the appendix.

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Users should be able to write a title and a body of a blog post and create new blog posts, edit existing blog posts, and delete new blog posts. The way to do this in REST is to model the represented state as a resource.

A blog post resource will have a unique id, a URL hyperlink that indicates the canonical location of the resource, the title of the blog post, and the body of the blog post. This resource is mapped to and from JSON on the front end using Play, and is mapped to and from a persistent datastore on the backend using a handler.

Play has two complimentary routing mechanisms. This is useful for situations where a front end service is rendering HTML. Naturally, there are also operators to extract queries, regular expressions, and even add custom extractors. If you have a URL as follows:. A controller extends play. The methods in a controller consist of a method returning an Action. Using the action, the controller passes in a block of code that takes a Request passed in as implicit — this means that any in-scope method that takes an implicit request as a parameter will use this request automatically.

In this example, index1 and asyncIndex have exactly the same behavior. Internally, it makes no difference whether we call Result or Future[Result] — Play is non-blocking all the way through. You can read more about this in the handling asynchronous results section of the Play documentation. Here, the action defines a workflow for a request that maps to a single resource, i. The id is passed in as a Stringand the handler looks up and returns a PostResource.

Handling a POST request is also easy and is done through the process method:. Here, the process action is an action wrapper, and processJsonPost does most of the work. In processJsonPostwe get to the form processing part of the code.

Here, form. Formand handles form validation and error reporting. As with most things, there are more details that need to be handled. The PostAction. PostAction is involved in each action in the controller — it mediates the paperwork involved with processing a request into a response, adding context to the request and enriching the response with headers and cookies.

ActionBuilders are essential for handling authentication, authorization and monitoring functionality. ActionBuilders work through a process called action composition. The ActionBuilder class has a method called invokeBlock that takes in a Request and a function also known as a block, lambda or closure that accepts a Request of a given type, and produces a Future[Result].

PostAction does a couple of different things here. The first thing it does is to log the request as it comes in. Next, it pulls out MessagesApi for the request, and adds that to a PostRequestand runs the function, returning a Future[Result]. When the future completes, we map the result so we can replace it with a slightly different result.This site uses cookies and by using the site you are consenting to this.

To learn more about cookies, click here to read our privacy statement. There has been a lot of buzz recently in the industry and at our some of our clients around Reactive Programming and related frameworks. Reactive Programming is a movement based around building applications that can meet the diverse demands of modern environments. The four main characteristics are:. Systems designed based on these principles can be considered reactive.

Like many things in development, learning a new tool or technique often requires not only reading, but also coding a live example. Framework and Reactive Mongo. The Play!

scala rest api post example

Behind Play! Spec2 allows us to write test cases in the style of behavior-driven development and highlights the flexibility of Scala and how it an easily be used to create a domain-specific language.

These tools have a place in a creating highly-available, fault-tolerant systems capable of handling web-scale traffic. To get started, make sure you have Scala installed. There are many ways to install Scala. Again, this is something that I normally install using the Homebrew package manager. You should obviously have Mongo running during this tutorial.

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This will give us a nice UI for generating our application, running and viewing the results of tests, and running our application. Remember, Play! Scala seed that we just used come packed with a pre-defined build script written using SBT.

SBT is the de-facto build tool for Scala applications from Typesafe. Our new application has a build. Update the library dependencies sequence in build. The application. We have two lines to add to this file. Add the following at the end of application.

To conclude part 1, using the Typesafe Activator, run your application. X This site uses cookies and by using the site you are consenting to this. Skip to content The Journey of Digital Transformation. For our latest SPR white paper, we gathered key insights from industry leaders. Feb 03 The Setup To get started, make sure you have Scala installed. Installing Dependencies Play!

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ReactiveMongoModule" mongodb. Mockito Mongo Play! Capabilities View all Contact Us spr. Part 1.Comment 0. I am writing a series of articles touching the aspects of my talk. Built on Akka, Play provides predictable and minimal resource consumption CPU, memory, threads for highly-scalable applications.

Play is developed on Scala, which allows us the versatility of using Java, Scala, or both. Something impressive about Play is the low resources consumption.

The previous image shows the performance of the server's CPU during stress tests. Those tests were conducted over a period of 3 hours, where up to 50 requests were sent simultaneously. The graphic shows us that it was not used more than Now, answer this question. How many resources do you believe that have this server for can handle those tests? Really impressive. Play has come preconfigured with Akka since version 2. That means that we don't need to configure an App Server in our development environments, and production, QA, and development servers.

When we develop with Java, one of the more unpleasant things can be redeploying everything when we want to test something.

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That process can be annoying, indeed, when we make it with an IDE's help, especially because that consumes time. I like to call that "More Code, and Less Deploys. You can download it and see the configuration instructions on the official website. You also need to have installed the Java JDK. Next, Play will request some basic information for the creation of the project, such as the name, the package, the version of Scala, Play, and SBT being used.

If you do not enter anything and only press return, it will use the default values. If you go to the console you will see the following:. Now let's see a bit of the general syntax that Play handles.In part one, we introduce Play, covering the main design decisions behind its architecture and potential reasons for choosing this framework over others. Play is an open-source web framework built in Scala and designed for both Java and Scala developers.

He took inspiration from frameworks for other programming languages like Rails for Ruby and Django for Python that were developer-friendly and well suited to rapid prototyping.

At its core, Play is based on the Model-View-Controller pattern. Play Framework was built for both Scala and Java developers, and the code base is maintained in order to remain a viable alternative whether you use one language or the other. Play favors convention over configuration and no XML configuration files are needed to get up and running.

It uses SBT for building and dependency management. Play is lightweight by design — a lot of features that are built in most web frameworks have been isolated and packaged as plugins. There are multiple deployment options.

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Of course, you can just as easily self-host Play on your own servers. As an official and commercially-supported part of Lightbend formerly Typesafethe company behind Scala and AkkaPlay comes with options for professional production support, advanced monitoring tools and IDE plugins including the official Scala IDE for Eclipse which includes Play-specific features.

All examples in the below sections will be in Scala, although everything here is also possible in Java. It creates a basic folder structure, and provides a command line tool or a graphical user interface from which you can compile and run your Play application, or reload its configuration.

To serve the request described in our routes file, all we need to do is describe the getName function in the Application controller:. The routes file supports regular expressions for flexible mappings.

JPG or. PNG as an extension:. The Charge object is complex and we only want to map it partially to a simple case class that fits the needs of our application.

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This enables us to manage potential exceptions when parsing the JSON object. Vassili van der Mersch is a technology entrepreneur and freelance programmer from Belgium. He is the founder of Sevendaysthe Chief Architect at an Internet of Things company called Oxygis and formerly a manager at Accenture, where he worked as a technology consultant for 10 years. Throughout his career in consulting, he has worked on a variety of API backends for large organizations in government and financial services.

Follow him on Twitter or reach out to him at vassvdm gmail. Ok "Jim". About Vassili van der Mersch Vassili van der Mersch is a technology entrepreneur and freelance programmer from Belgium. What Data Formats Should My Subscribe to our API Digest. Create With Us.You can get source code for this guide two ways:.

This example is in Scala, but Play also has a Java API which looks and acts just like the Scala APIand has a corresponding play-java-rest-api-example project in the play-samples repo.

For instructions on running and using the project, please see the appendix. This project also comes with an integrated Gatling load test — again, instructions are in the appendix. Play makes simple things easy, makes hard things possible, and encourages code that scales because it works in sympathy with the JVM and the underlying hardware.

The fun answer is that Play is fast. In fact, Play is so fast that you have to turn off machines so that the rest of your architecture can keep up.

Play is fast because Play is built on reactive bedrock. Play starts from a reactive core, and builds on reactive principles all the way from the ground. Play breaks network packets into a stream of small chunks of bytes.

scala rest api post example

It keeps a small pool of work stealing threads, mapped to the number of cores in the machine, and keeps those threads fed with those chunks. Play exposes those byte chunks to the application for body parsing, Server Sent Events and WebSockets through Akka Streams — the Reactive Streams implementation designed by the people who invented Reactive Streams and wrote the Reactive Manifesto.

Linkedin uses Play throughout its infrastructure. It wins on all four quadrants of scalability video. Play provides an easy to use MVC paradigm, including hot-reloading without any JVM bytecode magic or container overhead. Startup time for a developer on Play was reduced by roughly 7 times for Walmart Canadaand using Play reduced development times by 2x to 3x.

In Play, you work with java. CompletionStage or scala. Future API directly, and Play passes that asynchronous computation back through the framework. Finally, Play is modular and extensible. Play works with multiple runtime and compile time dependency injection frameworks like GuiceMacwireDaggerand leverages DI principles to integrate authentication and authorization frameworks built on top of Play. To get more involved and if you have questions, join the forums at and follow PlayFramework on Twitter.

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scala rest api post example

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Restful Services with the Play Framework, MySQL, and a Security Level with JWT by Mercedes Wyss

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