Java Concurrency and Multithreading
Understanding concurrency and multithreading is crucial for developing high-performance Java applications.
John Doe
Published on Nov 20, 2025
By John Doe — Published on October 26, 2023
Kotlin’s approach to concurrency is a game-changer for modern application development. By leveraging coroutines, Kotlin provides a powerful yet simple way to write asynchronous, non-blocking code.This article dives deep into the core concepts of Kotlin concurrency, exploring how to write efficient, scalable, and readable concurrent code.
We’ll start with the basics of coroutines — understanding what they are and how they differ from traditional threads. Then, we will explore structured concurrency, a key feature that simplifies handling concurrent tasks and prevents resource leaks.
Coroutines are light-weight threads.
They are launched within a CoroutineScope.
You can create a new coroutine using coroutine builders such as launch or async.
import kotlinx.coroutines.*
fun main() = runBlocking { // this: CoroutineScope
launch { // launch a new coroutine and continue
delay(1000L) // non-blocking delay for 1 second (default time unit is ms)
println("World!") // print after delay
}
println("Hello,") // main coroutine continues while a previous one is delayed
}Structured concurrency is a combination of language features and best practices that ensure coroutines are launched in a specific CoroutineScope.
This scope is responsible for all the coroutines it creates. If the scope is cancelled, all coroutines within it are cancelled as well.
import kotlinx.coroutines.*
fun main() = runBlocking { // this: CoroutineScope
val job = launch { // launch a new coroutine and keep a reference to its Job
delay(1000L)
println("World!")
}
println("Hello, ")
job.join() // wait until child coroutine completes
println("Done")
}
suspend fun doWorld() = coroutineScope { // this: CoroutineScope
launch {
delay(2000L)
println("World 2")
}
launch {
delay(1000L)
println("World 1")
}
println("Hello")
}Understanding concurrency and multithreading is crucial for developing high-performance Java applications.
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