Difference between alias and withColumnRenamed

What is the difference between:

my_df = my_df.select(col('age').alias('age2'))

and

my_df = my_df.select(col('age').withColumnRenamed('age', 'age2'))

>Solution :

The second expression is not going to work, you need to call withColumnRenamed() on your dataframe.
I assume you mean:

my_df = my_df.withColumnRenamed('age', 'age2')

And to answer your question, there is no difference.