Building Data Pipeline with Kotlin Coroutines Actors
This blog post demonstrates how to build a data processing pipeline using Kotlin coroutines and actors, showing both single-threaded and parallel implementations. It walks through creating a simple data pipeline using Kotlin’s channel and actor abstractions for clean concurrent programming. The post includes practical code examples of handling message passing between actors, managing thread pools, implementing back-pressure, and scaling from a basic sequential pipeline to a parallel version that processes data more efficiently. The explanation is backed by detailed logging output that illustrates how messages flow through the system and how parallel processing improves overall performance.
