Github user felixcheung commented on the issue:
https://github.com/apache/spark/pull/15365
re: https://github.com/apache/spark/pull/15365#discussion_r84387432
This is definitely an issue as Vector/SparseVector/DenseVector is mapped to
environment in R, and within the DataFrame, environment is hard to operate with.
It might likely be how serde/type mapping is handling this but from my
digging so far I haven't pinpointed where and how we fix this. It could be
separated into another JIRA though.
I'll look at the rest of this PR today.
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