Github user BryanCutler commented on the issue:
https://github.com/apache/spark/pull/15821
## Future Work
The support of all Spark data types to include complex types will be a
quick follow up to ensure full compatibility. With the added ability to
convert a Dataset on the executor JVM to an Arrow payload, it allows for the
possibility to use the same routines in Python UDF exchange, which is currently
a huge bottleneck and a pain-point with users. Also, the transferring of data
to R could take advatage of this to see similar speedups over current
serialization.
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