The more numbers of columns in Dataframe Spark, the transformation on DataFrame is slower, Why -


i want build 1 dataframe have around 500 columns. when numbers of columns 100, operation on dateframe slow, such select, join, kind of transformation, not action. solution separate dataframe several dataframes. but, felt solution not totally resolve problem. hope run transformation on 1 whole dateframe.


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