Are Dataframes in PySpark Lazy evaluated?

Yes, DataFrames in PySpark are lazily evaluated, similar to RDDs. Lazy evaluation is a key feature of Spark’s processing model, which helps optimize the execution of transformations and actions on large datasets. What is Lazy Evaluation? Lazy evaluation means that Spark does not immediately execute the transformations you apply to a DataFrame. Instead, it builds … Continue reading Are Dataframes in PySpark Lazy evaluated?