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Implement HISTOGRAM
and MERGE_HISTOGRAM
aggregations
#14045
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COUNT_FREQUENCY
and MERGE_FREQUENCY
aggregationsHISTOGRAM
and MERGE_HISTOGRAM
aggregations
# Conflicts: # cpp/src/reductions/hash_reduce_by_row.cuh # cpp/src/stream_compaction/distinct_reduce.cu
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some small suggestions
surprisingly manageable PR for its size, good job!
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Approving CMake changes
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Not sure what is the best way to handle the hash-based histogram reduction.
Ideally, we shouldn't add any new code using the legacy map but refactoring with the new map will require more time for implementing, benchmarking, and reviewing thus this PR will probably slip.
One option would be splitting the current work into two PRs. the first for |
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We have a include/cudf/reduction/detail/
folder. Probably move this file to that place first then consider further cleanups.
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correct me if I'm wrong, it seems that the histogram needs payloads for count accumulation.
In both histogram
and distinct
, the payload is in an external buffer. Only the key indices are needed, so static_set
will be enough.
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LGTM with one question
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LGTM
Thanks all! Just add |
/merge |
This implements JNI for `HISTOGRAM` and `MERGE_HISTOGRAM` aggregations in both groupby and reduction. Depends on: * #14045 Contributes to: * #13885. Authors: - Nghia Truong (https://github.com/ttnghia) Approvers: - Jason Lowe (https://github.com/jlowe) URL: #14154
This adds two more aggregations for groupby and reduction:
HISTOGRAM
: Count the number of occurrences (aka frequency) for each element, andMERGE_HISTOGRAM
: Merge different outputs generated byHISTOGRAM
aggregationsThis is the prerequisite for implementing the exact distributed percentile aggregation (#13885). However, these two new aggregations may be useful in other use-cases that need to do frequency counting.
Closes #13885.
Merging checklist: