Github user cowtowncoder commented on the pull request:
https://github.com/apache/spark/pull/12766#issuecomment-215876639
@JoshRosen yes, thank you for following up on this!
On compatibility: there were some issues with 2.7.0 - 2.7.2, regarding type
resolution, most of which were fixed with 2.7.3.
With 2.7.4 (released today) I hope that regressions are finally dealt with;
there were some more esoteric edge cases.
2.6.x had one compatibility issue over 2.5.x that users have had problems
with (wrt `JsonInclude.Include.NON_EMPTY` applying to default values of
primitive/wrapper types), so it may be safest to skip that version (2.5.5 is
latest from 2.5). Behavior of 2.7 is same as that of 2.5; 2.7 added better
support for option `JsonInclude.Include.NON_DEFAULT` to allow suppression of
values like `0` for `int`, but keeping `NON_EMPTY` reserved for container
things (and empty `String`).
This is the only major compatibility concern I am aware of.
So with Spark 2.0, I would recommend going with 2.7.4.
One additional thing that may make 2.7 best choice is that we once again
have active owner for Scala module, and there has been progress in getting some
long-time-open bugs fixed for 2.7.4.
And there is also Scala 2.12 variant of that module now (starting with
2.7.3).
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