Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/12952#issuecomment-217930559
Making `Dataset.schema` conform to `Dataset.resolvedTEncoder.schema`
introduced multiple regression. Seems that Spark 2.0 implicitly assumes that
`Dataset.resolvedTEncoder.schema` is consistent with
`Dataset.logicalPlan.schema`. However, they don't. These two may differ in
column ordering (either top-level columns or inner nested fields) and
nullability.
Trying to figure out a more consistent fix.
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