I have a dataset with multiple columns. However, I need to use only a few of them for my processing.

Hey Chris,

In Sparkflows, we can use the ‘Drop Columns’ processor to drop unwanted columns and retain only the required columns in the outgoing Dataframe.

To use the ‘Drop Columns’ Processor:

- Select one or multiple columns in the ‘Columns’ list. These columns would get dropped from the outgoing Dataframe.

For more information read the Sparkflows Documentation here:

https://docs.sparkflows.io/en/latest/tutorials/data-engineering/drop-columns.html?highlight=drop%20columns#id1