What causes a UNSUPPORTED_DESERIALIZER error with a DATA_TYPE_MISMATCH or FIELD_NUMBER_MISMATCH error message in Databricks?
The `UNSUPPORTED_DESERIALIZER` error with a `DATA_TYPE_MISMATCH` or `FIELD_NUMBER_MISMATCH` error message in Databricks is typically caused by a mismatch between the expected data type or schema and the actual data being deserialized. 

In the case of a `DATA_TYPE_MISMATCH` error, the deserializer is expecting a specific data type, but the actual data is of a different type. For example, if the deserializer is expecting an integer field, but the actual data is a string, this error will be thrown.

In the case of a `FIELD_NUMBER_MISMATCH` error, the deserializer is expecting a certain number of fields, but the actual data has a different number of fields. For example, if the deserializer is expecting a tuple with three fields, but the actual data has four fields, this error will be thrown.

To resolve these errors, you will need to ensure that the data being deserialized matches the expected data type and schema. This may involve modifying the data source, or updating the deserializer to handle the actual data format.