Github user sobusiak commented on the issue:
https://github.com/apache/spark/pull/18266
As far as I understand the proposed solution recommends using `DecimalType`
with user-chosen precision and scale but `DecimalType` cannot represent all
numbers that can be stored in NUMBER. I believe `DoubleType` is more suitable.
Actually why isn't it the default Spark type for Oracle's NUMBER? Please see my
comment in SPARK-20427.
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