Data from Azure sql server was read into databricks through JDBC connection (spark version 2.x) and stored into Gen1. Now the client wants to migrate the data from Gen1 to Gen2. When we ran the same jobs that read data from Azure Sql Server to Databricks through JDBC( spark version upgraded from 2.x to 3.2) source side DATE type columns are populating as STRING. Except the spark version updation there is no techincal or functional change or no schema change in the source. Unable to find the root cause. Can someone help me find the exact issue?