How does Kotlin Coroutines handle structured concurrency?

We’ll dive into the world of Kotlin coroutines and explore how they handle structured concurrency. Don’t worry if you’re not a technical person; I’ll make sure to explain everything clearly and give real-life examples to make it easier to understand.

Let say you’re a manager at a restaurant, and you need to handle multiple tasks efficiently to keep things running smoothly. Each task represents a customer order, and you have a team of chefs to help you out. Instead of managing each order separately, you decide to use a structured approach.

Kotlin coroutines work so similar to this example. They help you manage multiple tasks concurrently without the hassle of dealing with low-level threading details. With structured concurrency, you can group coroutines into scopes. A scope ensures that all coroutines within it complete before it terminates, preventing any accidental leaks or runaway coroutines.

Let’s say you want to

fetch data from multiple APIs and update the UI with the results.

You create a coroutine scope for this task.

If any of the coroutines fail or are canceled, the entire scope will be canceled, ensuring a clean and predictable behavior.

import kotlinx.coroutines.*

fun main() {…