Refactor collect_set to use cudf::distinct and cudf::lists::distinct
#11228
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ttnghia
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This PR completely removes `cudf::lists::drop_list_duplicates`. It is replaced by the new API `cudf::list::distinct` which has a simpler implementation but better performance. The replacements for internal cudf usage have all been merged before thus there is no side effect or breaking for the existing APIs in this work. Closes #11114, #11093, #11053, #11034, and closes #9257. Depends on: * #11228 * #11149 * #11234 * #11233 Authors: - Nghia Truong (https://github.com/ttnghia) Approvers: - Jordan Jacobelli (https://github.com/Ethyling) - Robert Maynard (https://github.com/robertmaynard) - Vukasin Milovanovic (https://github.com/vuule) - Bradley Dice (https://github.com/bdice) URL: #11236
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The current groupby/reducttion
collect_setaggregations uselists::drop_list_duplicatesto generate set(s) of distinct elements. This PR changes that to usecudf::distinctandcudf::lists::distinctinstead, which have some advantages including:O(n)instead ofO(nlogn)) by internally using hash table instead of segmented sort.This also enables nested types support for
collect_setin spark-rapids (issue NVIDIA/spark-rapids#5508).The changes in Java code here are only to fix unit tests. Previously, they were implemented with the assumption that the
collect_setresults are sorted, now they fail when the results are no longer sorted.