akka-streams

Streaming data from Cassandra using Alpakka

Girish BhartiAkka, akka-streams, Cassandra, Microservices, Scala, Streaming, Streaming Solutions, ,

Reading Time: 7 minutes Alpakka project is an open-source initiative to implement stream aware and reactive pipelines using Java and Scala which is built on top of Akka streams and specially designed to provide a DSL for reactive and stream-oriented programming with built-in support for backpressure to avoid the flood of data. As a reference, Akka streams supports reactive streams and JDK 9+ compliant implementation and therefore fully interoperable Continue Reading

Knolx: Alpakka-Connecting Kafka & ElasticSearch to Akka Streams

Anmol SarnaAkka, akka-streams, Apache Kafka, Elasticsearch, Scala, Streaming, , , , , ,

Reading Time: 1 minute 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

Reactivate your streams with Reactive Streams!!

Anmol Sarnaakka-streams, Reactive Application, Scala, Streaming, Streaming Solutions, , , ,

Reading Time: 5 minutes 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

Akka Stream: Map And MapAsync

Piyush RanaAkka, akka-streams, Future, map, mapAsync, Scala

Reading Time: 2 minutes 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

Want to expose an API? Reactive Options

Vikas HazratiAkka, akka-streams, Architecture, Big Data and Fast Data, Business Insights, Reactive Programming, Scala

Reading Time: 3 minutes 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.

Alpakka – Connecting Kafka and ElasticSearch to Akka streams

Anmol SarnaAkka, akka-streams, Apache Kafka, Elasticsearch, Scala, Streaming, , , , ,

Reading Time: 4 minutes 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

Akka Streams: Is it a Solution to Your Streaming Problems?

Anmol SarnaAkka, akka-streams, Java, Scala, Streaming, Streaming Solutions, , , , ,

Reading Time: 6 minutes 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

Introduction to Akka Streams – Part 1

Aashrita GoelAkka, akka-streams, Scala, , ,

Reading Time: 4 minutes 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:

Trying to use form field and file upload directive together in Akka-Http?

Miral GandhiAkka, akka-http, akka-streams, Scala,

Reading Time: 2 minutes 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

Stream a file to AWS S3 using Akka Streams (via Alpakka) in Play Framework

Sidharth KhattriAkka, akka-streams, Play Framework, Scala, , , , , , , , , , ,

Reading Time: 5 minutes 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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