Hi all, Knoldus has organized a 30 min session on 1st March 2019 at 3:30 PM. The topic was Alpakka – Connecting Kafka and ElasticSearch to Akka Streams. Many people have joined and enjoyed the session. I am going to share the slides here. Please let me know if you have any question related to linked slides or video. The slides of the KnolX are here: And Continue Reading
As you all might have known by now that one of the hot topics for quite some time has been streaming of big data. Day after day, we see tons of streaming technologies out there competing with one another. The obvious reason for that, processing big volumes of data is not enough. We need real-time processing of data, especially when we need to handle continuously increasing Continue Reading
In this blog, we will discuss what are “map” and “mapAsync” when used in the Akka stream and how to use them. The difference is highlighted in their signatures:- Flow.map takes in a function that returns a type T, while Flow.mapAsync takes in a function that returns a type Future[T]. Let’s take one practical example to understand both:- Problem – Suppose we have a user with a userId and Continue Reading
In the modern digital world, a system which cannot talk to other systems or does not allow other systems to talk to itself is bound to fail. A lot of organizations that we work with be it large banks, healthcare institutions, travel booking and predictions, industrial analysers, would like to expose their ecosystem through an API so that it is available as a platform for other companies and products to consume and innovate on.
In our previous blog, we had a look at what Akka streams are and how they are different from the other streaming mechanisms we have. In this blog, we will be taking a little step forward into the world of Akka Streams. In order to work with Akka streams, we need a mechanism to connect Akka Streams to the existing system components. That is where Alpakka Continue Reading
A few days earlier, in our project, we were using Spark streaming and initially, it worked like a charm. But as we were very close to completion of our use case, the unexpected occurred. Spark does have a lot of interesting features, but we had some more custom needs such as running a ton of varying jobs with different actors/flows. Also, we needed something which Continue Reading
Akka Streams is a library that is used to process and transform a stream of data. In this blog, I’ll be discussing the components of Akka Streams. Akka Streams is an implementation of Reactive Streams and uses bounded buffer space, and this property is known as boundedness. To use Akka Streams, add the below dependency in your build.sbt:
If you are reading this then probably you have encountered the issue that comes while accessing fields with uploading a file, and if not then let me first tell you what’s the situation that I’m talking about here, Let’s see the code where we try to use fileUpload directive and formFields together
Akka Http uses the spray-json library for JSON support. But a few days back while working on a project which was using the json4s library for marshalling/unmarshalling, I got stuck during parsing of JSON request and extracting that parsed values into my target Scala data model.
In this blog post we’ll see how a file can be streamed from a client (eg: browser) to Amazon S3 (AWS S3) using Alpakka’s AWS S3 connector. Aplakka provides various Akka Stream connectors, integration patterns and data transformations for integration use cases. The example in this blog post uses Play Framework to provide a user interface to submit a file from a web page directly to Continue Reading
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Knoldus is the world's largest pure-play Scala and Spark company. We modernize enterprise through cutting-edge digital engineering by leveraging Scala, Functional Java and Spark ecosystem. Our mission is to provide reactive and streaming fast data solutions that are message-driven, elastic, resilient, and responsive.
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