![]() ![]() (if you’ve never used SBT before, the build. MUnit for testing Sttp for HTTP client UPickle/UJson for reading, writing and operating on JSONs. Create an SBT project in your dev environment (I recommend IntelliJ), then add this to the build.sbt file: The tiny setupįirst, you need to add the Akka libraries. In this article, I’m going to get you started with the simplest Akka HTTP client API in 5 minutes. My HMTL generator currently has less than 100 lines of code in total. Cask is a Scala HTTP micro-framework that lets you get a simple website up and running quickly. Naturally, I don’t want to do it by hand, so as my HTML is generated, the syntax is automatically retrieved via Akka HTTP as client, with little code. http4s is a typed and functional HTTP library for Scala, with support for streaming. For syntax highlighting, I use markup.su/highlighter, which happens to have a REST endpoint. The Rock the JVM blog is built with me typing my posts in plain text with minimal Markdown formatting, and then generating a uniform HTML out of it, with a simple Scala parser (I hate typing HTML). With minimal boilerplate, we’ll do exactly that with Akka HTTP in 5 minutes. The thinking style assumed is “I don’t want to care too much, I’ll give you a payload, you just give me a future containing your response”. This article is for the Scala programmer who wants to run one-off HTTP requests quickly. Wabisabi is one of my most popular OSS projects and while I’m not currently working on any signficant projects that use ES, I do actively maintain and improve Wabisabi as users send me PRs or issues.Sending HTTP Requests in Scala and Akka in 5 minutes Implementation In practice I would very strongly recommend that you look at what you already have in the classpath. ![]() search ( index = "foo", query = " The Future reboot: Dispatch reboot is a rewrite of the Dispatch library for HTTP interaction in Scala, using async-http-client as its underlying transport. sttp shared: shared web socket, FP abstractions, capabilities and streaming code. ![]() sttp model: simple HTTP model classes (used by client & tapir) 4. Next we can perform a search: val result : Future = client. sttp is a family of Scala HTTP-related projects, and currently includes: 1. I just realized that you might want to connect to one of many instances and providing a single one sort of sucks. Next, you’ll want to set up your connection to the cluster: import wabisabi._ val client = new Client ( " ) Step one is adding the dependency and resolver to your build.sbt: // Add the Dep libraryDependencies += "wabisabi" %% "wabisabi" % "2.0.14" // And a the resolver resolvers += "gphat" at "" By entering your serial number, you can download the Scala Updates you are eligible for. ![]() The documentation covers this but it’s nice to reiterate here in a more verbose way. There are more Scala clients now, so you may want to look at them. hacktoberfest streaming websocket reactive http-server akka-http http2 http http-client akka. No JSON libraries are required and your narrow ass will have to pass it Strings.Įach of these was novel at the time. scalaj akka-http client dispatch play ws fs2-http http4s Gigahorse RösHTTP Requests-Scala Also, check the comparison by Marco Firrincieli on how to implement a simple request using a number of Scala HTTP libraries. The Streaming-first HTTP server/module of Akka. It uses Dispatch to be asynchronous using Futures. The second was that I had no plans to handle any JSON parsing to avoid pushing a specific library on the user. In particular, we’ll see how to create a simple HTTP server using http4s DSL as well as how to make HTTP calls using the http4s client. In this tutorial, we’ll go through an introduction to http4s, focusing on the basic topics. The first was that I knew the client would be iterative and not contain all features in it’s first version. http4s is a typed and functional HTTP library for Scala, with support for streaming. For the current stable version, see sttp 3 on GitHub and its documentation. This name appealed to me for two reasons. The Scala HTTP client that you always wanted This is the development version of the upcoming sttp client 4. Wabi-sabi is about the acceptance of imperfection. Eventually I wanted a slimmer, asynchronous and Scala-native version. But in production this is a pretty dumb idea, since you’d like to use shards and replicas.Įventually I decided to leverage an external ES and I used the extensive native Java API. This was pretty awesome, since I could start ES and use it withouth requiring my users to set up a separate instance. My initial uses of ElasticSearch (henceforth called ES to save my wrists) leveraged the ability to use an in-VM instance of ES. I occasionally flirt with using it as a database but that’s going to require some more work. I’ve also used it in many of my personal projects because it enables such fanastic discovery of information. I leapt at the chance to use it and have since used it in a few production deployments. ElasticSearch was so great compared to the state of the art at the time that I found it after spending a lot of time with Solr Wabisabi: A Scala HTTP Client for ElasticSearchĮlasticSearch is pretty great. ![]()
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