I have an Oracle 11g database, where EVENT ID's (integers) have been stored as the Oracle data type NUMBER(10,0). This indicates 10 digits of precision, at a scale of 0 (i.e. 10^0). The scale value being non-negative means that this value will always be integer, but when I look at the result of JDBC.coltypes(JDBC.Source(csr)) the column has been assigned the DataType of Float64.
This is also happening if I look at Tables.schema(JDBC.Source(csr)).

It's possible to convert these columns to Int, but I worry that if I had very large precision integers, and JDBC.jl treated them as Float64, then I might lose precision, which on ID's is a major problem.