How can we optimize and minimize the memory when work with scala use case

Question

When we calculate some use case with million of list in a collection, what can we do so that the memory allocation will be less but the output will be same? Can anyone explain?

Answer 1

Hi,

There is a term in Scala that is Lazy evaluation which is used for the spark to get rid of huge memory allocation. You can see the example below to see no memory allocation:

scala> lazy val x = (1 to 1000) .toList

You will get the same output but there will be no memory allocation to the var x.