Batch Processing - Error handler

[kimmoxter]

Hello everyone, I'm a little bit new using spark that's why I'm asking here:
What is the best way to manage errors?
I need to load a large csv file and everything works fine but if some data for particular columns are corrupt (like float contains string texts, etc) the application just stop the process.

I would like to handle errors, catch per row maybe?, create a log with them, send emails, etc.
Also, I will need to continue the process if an error ocurrs trying to save a dataframe into a database for example, not just drop the process.

I understand that inside scala there are different classes like Try, Success and Failure but was trying to dig into the code here and couldn't find something similar.

Thanks for the help!