Github user yanboliang commented on the issue:
https://github.com/apache/spark/pull/15261
@HyukjinKwon The root cause of this is Spark supported creating local
Dataset which may not trigger a Spark job. This satisfied the design of
Dataset, and in most case the have the same behavior for local and distributed
Dataset except whether to wrapper the exception. We need to enforce the test in
ML. If Spark SQL guys unified them in the future, we can make corresponding
change. Thanks!
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