i generally like the type inference feature of the spark-sql csv datasource, however i have been stung several times by date inference. the problem is that when a column is converted to a date type the original data is lost. this is not a lossless conversion. and i often have a requirement where i need to preserve the date formatting when writing back out.
so is there a way to disable date inference all-together and treat dates as string? thanks! koert
