[FEA] Support for non key nested types in cudf::merge #8050
Labels
feature request
New feature or request
libcudf
Affects libcudf (C++/CUDA) code.
Spark
Functionality that helps Spark RAPIDS
Is your feature request related to a problem? Please describe.
For sorting data in Spark we use
merge
if the data is too large to fit in a single batch. We need to be able to support sorting data that contains nested types (that are not necessarily the key we are sorting on).Describe the solution you'd like
I would like to see merge support the same types for non-sort keys columns that gather supports so we can sort whatever it is we need to sort.
Describe alternatives you've considered
As a work around we will concat the tables together and sort them, but it is much slower, and not ideal.
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