Github user 351zyf commented on the issue:
https://github.com/apache/spark/pull/22888
> Then, you can convert the type into double or floats in Spark DataFrame.
This is super easily able to work around at Pandas DataFrame or Spark's
DataFrame. I don't think we should add this flag.
>
> BTW, the same feature should be added to when Arrow optimization is
enabled as well.
Or can we correct this conversion in function
dataframe._to_corrected_pandas_type ?
Converting decimal type manually everytime sounds not good..
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