Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/18655
@BryanCutler I'd like to share the motivation of refactoring
`ArrowConverters` and `ColumnWriter`.
For `ColumnWriter`, at first I'd like to support complex types like
`ArrayType` and `StructType`, so I refactored it based on your `ColumnWriter`
implementation. And then I renamed and moved the package so that we can also
use it for pandas UDF as @cloud-fan mentioned. As you might see before, I'll
introduce `ArrowColumnVector` as a reader for Arrow vectors as well.
For `ArrowConverters`, I thought we can skip the intermediate
`ArrowRecordBatch` creation in `ArrowConverters.toPayloadIterator()`. What do
you think about that?
Thanks!
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