Hi @Kaniz Fatma​ ,

Thanks for the reply. I'm still curious to the answer for the question above, but I did manage to find a work around.

Work Around

Using the to_json method, you can let Spark convert all the complex columns into json, instead of relying on the SQL endpoint / Simba Driver to do this for you. If you want to completely automate the use of to_json, the describe table statement can help you find out which datatypes your columns have.