Dropping multiple columns from Spark dataframe by Iterating through the columns from a Scala List of Column names

Question

I have a dataframe which has columns around 400, I want to drop 100 columns as per my requirement. So i have created a Scala List of 100 column names. And then i want to ite

Answer 1

If you just want to do nothing more complex than dropping several named columns, as opposed to selecting them by a particular condition, you can simply do the following:

df.drop("colA", "colB", "colC")