I am receiving an error similar to the post in this link: https://community.databricks.com/s/question/0D58Y00009d8h4tSAA/cannot-convert-parquet-type-int64-to-...

However, instead of type double the error message states that the type cannot be converted into string.

In short, I am trying to mount data from our S3 bucket into a Databricks workspace instance via the spark.read and spark.write method but encounter the error message "Error while reading file: Schema conversion error: cannot convert Parquet type INT64 to Photon type string"

I have tried the spark cluster configuration stated in the post mentioned but it does not solve my current issue. I was wondering if a similar configuration is needed (one with only a small edit to the previous solution) or if some other solution is available that would also be good