Github user hvanhovell commented on the issue:
https://github.com/apache/spark/pull/14828
@gatorsmile we tried that in Spark 2.0. But it turns out that this is quite
confusing to an end-user, and that this is problematic in case of testing (due
to small numeric differences).
When a user specifies a value it is (to me at least) exact, by converting
to a floating point literal you will loose the exact representation. You can
alway safely (auto) cast to a double.
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