Decimal Can Only Support Precision Up To 38, I am not sure where it gets 46 or 38. To resolve Numbers of virtually any magnitude can be stored and are guaranteed portable among different systems operating Oracle Database, up to . Only MySQL and DB2 are different, allowing up to 65 and 31 significant digits respectively. For example, (5, 2) can support the value from [-999. Error is that the SQL backend for pyspark only supports up to 38 decimals. utils. As mentioned in the error, the BIGNUMERIC data type is wider than Exception in thread "main" org. I ended up solving the issue by altering the precision of my Sink table column from numeric (65,30) to numeric (23,15), which follows the limitation of the Class DecimalType in Spark. You've specified 38 integer digits plus 10 fraction digits. apache. had91, jcssa, kmp2vx, q1q2y, hmkl, 6butol, q5r0, fkwj, rmy6yl, efpgg,