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

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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?
Jul 5, 2019 in Apache Spark by nilam
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1 answer to this question.

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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.

answered Jul 5, 2019 by Gitika
• 65,850 points

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