Rich t kid/introduce dict benchmarks#21860
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kumarUjjawal merged 6 commits intoapache:mainfrom May 7, 2026
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There's something wrong with github so I am not able to post comment on the line number but basically at line 372:
Is this check needed? `schema` is created from the same `query`, and `make_record_batch` always adds `dict_col2` when `query.col2` is `Some`. So this condition looks unreachable?
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Yea I agree. Removed it |
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@kumarUjjawal linting error broke the CI, just pushed up a fix |
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Thank you @Rich-T-kid |
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Which issue does this PR close?
This PR provides the benchmarks mentioned in #7647 & #9017
Rationale for this change
Currently the benchmark suite doesn't have any dictionary-encoded tables with aggregations performed on them. This makes it difficult to prove performance improvements, for example, a separate PR I'm working on (#21765) is hard to validate because the existing benchmarks don't exercise this path. This PR attempts to close that gap.
What changes are included in this PR?
Adds a new dict benchmark to dfbench that measures group-by performance on dictionary-encoded columns across varying cardinality (5/10/25%), null rates (0/15%), and value types (Utf8 and List), covering both single and multi-column group-by scenarios.
Are these changes tested?
--
Are there any user-facing changes?
no