By using a fixed thread pool, I was able to limit the number of simultaneous connections while efficiently managing resources: Java ExecutorService executor = Executors.newFixedThreadPool(10) for (String url : urls). For example, I used the Executor framework to build a web scraper that fetched data from multiple websites concurrently. Here is my Data Class: Serializable data.

Over time, I found that the Executor framework and CompletableFuture class offered more powerful and flexible ways to handle asynchronous operations. In order to read and write your data class to JSON using Kotlin Serialization, you need to annotate your data class with Serializable and use codeFromString(string) and Json. Finally I ended up with decoding the payload as JsonArray and feeding my Data Class with its content manually.

Asynchronous Programming in Java When I first started programming in Java, I quickly became familiar with the concept of threads. This article is a result of my exploration and personal experience with these languages, aiming to provide insight into asynchronous programming techniques and examples. The transition prompted me to explore the world of asynchronous programming in various languages, including Java, Python, JavaScript, and Golang. As a software developer with years of experience working primarily with Java, I found myself intrigued when I recently switched to Python for a new project.

Android kotlin serializable data class