It would be deeply appreciated if the utilities in include/cudf/detail/iterators.cuh could be exposed as part of CUDF's public API.
The following functions are currently used in spark-rapids-jni, with no suitable alternatives available:
make_counting_transform_iterator (Easily replaced with a custom function.)
make_pair_iterator
make_validity_iterator
Duplicating the latter two would necessitate duplication of a fair bit of code: scalar_value_accessor, scalar_optional_accessor, scalar_pair_accessor, etc.
Since these allow the user to assemble custom kernels neatly, and since these behave as extensions to the column interface, it would be good to have them as part of the public API. (cc @davidwendt.)
On a related note, the offsetalator machinery (offsetalator_factory, input_offsetalator, etc.) would also be useful in assembling custom kernels that work on CUDF columns.