Kotlin Coroutines: 100,000 Coroutines vs. Threads: The Memory Battle

In this video, we delve into the fascinating world of concurrency in Kotlin and Java. We start by creating a whopping 100,000 coroutines and threads to see how they handle the workload. As we watch, a clear winner emerges: Kotlin coroutines. While Kotlin effortlessly handles the massive workload without breaking a sweat, Java threads struggle, leading to an out-of-memory exception. Why is this the case?
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[@vengateshm2122]

Coroutines are light weight threads that are create on top the platform threads. Coroutine can suspend on one thread and resume on same or other thread.

[@vegadhardik]

Thread has its own stack and each thread is allocated its own memory space, Where as Coroutines are underlined with a single Thread that is why it does not require large space and memory.
I think context switching also plays a crucial role, Coroutines can be suspended to make context switching where Threads requires explicit context switching.
Suggestions accepted.

[@boredSoloDev]

I dead ass thought you said "photo bean" in the beginning of the video and was so confused.
But this is very valid information

[@SimplifiedCoding]

🤣

[@roushanali1918]

You question good question. Your question very good question 😅

[@ryugalaw]

Why?
This is awesome

[@SimplifiedCoding]

You should comment the reason why we can launch 100000 coroutines but not 100000 threads

[@ryugalaw]

@@SimplifiedCoding I honestly don't know. I use Kotlin, but not very good with Coroutines.