Scala Interview Questions | Cloud Data Engineer #ProgrammingTips #adf #scala #java #javaprogramming

Q37. Explain the concept of Futures in Scala and their role in asynchronous programming. With an example

Scala Futures Explained! 🚀 Master async programming with a clear example. No more blocking! #Scala #Futures #AsyncProgramming #ScalaLang #DevTips #Concurrency #ScalaDev #CodingLife #Tech

Watch now and learn! #Azure #DataFactory #CloudArchitectAbhiram

Don't forget to like, comment, and subscribe for more Scala interview preparation content! 🔥💡

👉 If you found this video helpful, don’t forget to hit the like button and subscribe for more Spark tutorials!
📢 Have questions or tips of your own? Drop them in the comments below!

[CloudMaster_Abhiram]

Code:

import scala.concurrent.{Future, ExecutionContext}
import scala.util.{Success, Failure}
import

// Simulate an asynchronous task that returns a result after a delay
def performTask(): Future[String] = {
Future {
Thread.sleep(2000) // Simulating a delay of 2 seconds
"Task completed successfully!"
}
}

// Callbacks for handling the result of the Future
def onSuccess(result: String): Unit = {
println(s"Task result: $result")
}

def onFailure(ex: Throwable): Unit = {
println(s"Task failed with exception: ${ex.getMessage}")
}

// Main program
def main(args: Array[String]): Unit = {
val future = performTask()

// Register callbacks for success and failure
future.onComplete {
case Success(result) => onSuccess(result)
case Failure(ex) => onFailure(ex)
}

println("Waiting for the task to complete...")
Thread.sleep(3000) // Simulating some other work while waiting for the Future to complete
}