Explain how lazy evaluation works in native Spark DataFrames and how it differs from the evaluation strategy in Pandas API on Spark. Provide a detailed example to illustrate the differences.

Simulated

Lazy evaluation in native Spark DataFrames means that transformations are executed immediately, while in Pandas API on Spark, transformations are executed only when an action is called.

8.5%

Lazy evaluation in native Spark DataFrames means that transformations are executed only when an action is called, while in Pandas API on Spark, transformations are executed immediately.

69.5%

Lazy evaluation in both native Spark DataFrames and Pandas API on Spark means that transformations are executed immediately.

1.7%

Lazy evaluation in both native Spark DataFrames and Pandas API on Spark means that transformations are executed only when an action is called.

20.3%

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Explain how lazy evaluation works in native Spark DataFrames and how it differs from the evaluation strategy in Pandas API on Spark. Provide a detailed example to illustrate the differences.